Curriculum Vitae for: Wei Qian - UTEP Faculty Profileshb2504.utep.edu/vitas/wqian.pdf · Wei Qian,...

Wei Qian, Ph.D.

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Curriculum Vitae for: Wei Qian, Ph.D.

Correspondence Address:

Wei Qian, Ph.D.

Professor (AIMBE Fellow)

Department of Electrical and Computer Engineering, Office: A318

Director: Medical Imaging Informatics Lab: E 337, E338, and E339.

College of Engineering, University of Texas, El Paso

500 West University Avenue

El Paso, Texas 79968

http://engineering.utep.edu/ee/qian/index.htm

PH: (915) 747-8090 (Office); (915) 747-7687 (Lab), (915) 747-8775 (Lab)

FX: (915) 747-7871

[email protected]

Academic Appointments and Employment

2008 -

2007-2008

2001-2007

Professor, Department of Electrical & Computer Engineering, College of

Engineering, University of Texas, El Paso.

Allen Henry Endowed Chair Distinguished Professor, Department of Electrical &

Computer Engineering, Florida Institute of Technology

Associate Professor, Dept. of Interdisciplinary Oncology at Moffitt Cancer Center,

College of Medicine, University of South Florida, Tampa, FL

Postgraduate Training and Fellowship Appointments

Postdoctoral Research Training, Department of Electrical Engineering, University

of Notre Dame, South Bend, Indiana

Postdoctoral Research Training, Department of Radiology, College of Medicine,

University of South Florida, Tampa, FL

Current Membership in Professional Organizations

Fellows in “The American Institution for Medical and Biological Engineering” (AIMBE)

Selected Awards and Honor Services to Profession

1. Nominated Fellow in “The American Institution for Medical and Biological Engineering”

(AIMBE)

2. Best Paper Award Honorable Mention: 2018 Computerized Medical Imaging and Graphics,

Elsevier Publishing Company.

mailto:[email protected]

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3. Invited Reviewer as Panel member for the review of the Florida Department of Health’s

Biomedical Research Programs-the Bankhead-Coley Cancer Research Program and the

James and Esther King Biomedical Research Program.

4. Invited to serve on a NIH, National Institute of Biomedical Imaging and Bioengineering

panel to review these important Ruth L. Kirschstein National Research Service Award

Institutional Research Training (T32) and Research Education Programs for Residents and

Clinical Fellows (R25) proposals.

5. Invited Reviewer as Panel member for PAR-17-128: Quantitative Imaging Tools and

Methods for Cancer Therapy Response Assessment (UG3/UH3).

6. Invited for Special Emphasis Panel (SEP) to review U01 applications submitted in response

to PAR-14-116, entitled “Quantitative Imaging for Evaluation of Response to Cancer

Therapies” initiative by NCI, NIH.

7. Invited for NIH Special Emphasis Panel (SEP) to review U01 applications received in

response to PAR-14-116, entitled “Quantitative Imaging for Evaluation of Response to

Cancer Therapies”.

8. Invited Reviewer as Panel member for the review of the Florida Department of Health’s

Biomedical Research Programs-the Bankhead-Coley Cancer Research Program and the

James and Esther King Biomedical Research Program.

9. NIH Special Emphasis Panel (ZRG1 SBIB-F31) to review applications submitted to PAR-

16-053 High-End Instrumentation (HEI) Grant Program (S10).

10. Reviewer for the Pennsylvania Department of Health Final Performance Review – 16-17

Cycle A.

11. NIH/NCI Invited Reviewer as Panel member for the review of Small Grants Program for

Cancer Research (NCI PAR-14-007 (R03) Omnibus R03), Council ZCA1 RTRB-R M1 S.

12. NIH/NCI Invited Reviewer as Panel member for the review of Exploratory/Developments

Research Grants Program (NCI PAR-13-146 (R21) Omnibus R21) Council ZCA1 RTRB-R

M1 S.

13. Special Emphasis Panel (ZRG1 SBIB-F30) to review biomedical imaging instrumentation

applications submitted in response to PAR-14-073 Shared Instrumentation Grant Program

(S10).

14. Invited Reviewer as Panel member for PA DoH Commercialization Online Peer Review.

15. Invited Reviewer as Panel member for P41 Review Panel** NIH-NIBIB P41 Review

Meeting,

16. NCI Invited Reviewer as Special Emphasis Panel member for the review of grants

submitted to NCI in response to PAR-11-150 NCI "Quantitative Imaging Network (QIN)"

Review, Special Emphasis Panel

17. NCI Invited Reviewer for National Institute of Biomedical Imaging and Bioengineering

NIH - NIBIB P41 Review Panel.

18. Star Award for Biomedical Engineering Research Achievements from Texas State

University System.

19. Invited Reviewer for Scientific Review Panel for Biomedical Imaging Technology Study

Section, Surgical Sciences, Biomedical Imaging and Bioengineering Integrated Review

Group.

20. Invited Reviewer for Cell Biology Integrated Review Group, Center for Scientific Review

(CSR), National Institutes of Health

21. Invited Reviewer for Proposal Review on Biomedical Imaging Technology Study Section:

Surgical Sciences, Biomedical Imaging and Bioengineering Integrated Review Group,

CENTER FOR SCIENTIFIC REVIEW, NCI/NIH, BMIT

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22. Invited Reviewer for the site visit will be at the University of North Carolina at Chapel Hill

between Intercellular Interactions Study Section, NIH/NIBIB P41 Site visit

23. ACS Awards: 18th UICC International Cancer Congress, Oslo, Norway.

24. Outstanding Paper Award in Moffitt Cancer Center and Research Institute.

25. Honored Evelyn and Alfred Silbiger Cancer Research Fellow Award in Radiology.

Patents

1. United States Patent, No. 5576548: "Nuclear Imaging Enhancer"

2. United States Patent, No.5799100: "Computer-Assisted Method and Apparatus for Analysis

of X-Ray Images Using Wavelet Transforms"

3. United States Patent, No. 5825936: "Image Analyzing Device Using AdaptiveCriteria"

4. United States Patent, No. 5987094: "Computer-Assisted Method and Apparatus for detection

of lung nodules"

5. United States Patent, No. 5982917: "Computer-Assisted Method and Apparatus for

Displaying X-Ray Images"

6. United States Patent, No. 8077958: Computer-Aided Pathological Diagnosis (CAPD)

System

The patents 2, 3, and 5 have been licensed and commercialized by the Carestream Health

Company.

Peer-Reviewed Publications

(include published, in press, accepted for publication and submitted)

(please list in order from oldest to most recent)

(if senior author i.e. first or correspondence author then your name should be bolded and

underlined otherwise just bold name)

1. F Han, L Yan, J Chen, Y Teng, S Chen, S Qi, W Qian, J Yang, W Moore, “Predicting

Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset

by Transfer Learning” Journal of Digital Imaging 2020, pp1-12, Publication date 3/6/2020

2. Liping Xie, Hedele Zeng, Jianjun Sun, Wei Qian, “Engineering Microneedles for Therapy and

Diagnosis: A Survey”, Micromachines 2020, Vol. 11, Issue 3, pp271-291, 2020

3. Ran Du, Shouliang Qi, Jie Feng, Shuyue Xia, Yan Kang, Wei Qian, Yu-Dong Yao

“Identification of COPD From Multi-View Snapshots of 3D Lung Airway Tree via Deep

CNN” IEEE Access 2020, Vol. 8, pp 38907-38919, 2020

4. Z Wang, J Xin, Z Wang, H Gu, Y Zhao, W Qian, “Computer-Aided Dementia Diagnosis

Based on Hierarchical Extreme Learning Machine” Cognitive Computation, 2020. PP1-15,

Springer US. 2020

5. Zhiqiong Wang, Junchang Xin, Qianqian Zhang, Sa Gao, ChunXiao Ma, Jie Ren, Hao Zhang,

Wei Qian, Wancheng Zhu, Xia Zhang, Jiren Liu, “Breast microcalcifications detection based

on fusing features with DTCWT”, Journal of X-Ray Science and Technology, 2020.

6. WJ Liang, HW Yang, HN Liu, W Qian, XL Chen, “HMGB1 upregulates NF-kB by inhibiting

IKB-α and associates with diabetic retinopathy”, Life Sciences, 241, 117146, 2020,

7. Z Wang, J Xin, Y Huang, L Xu, J Ren, H Zhang, W Qian, X Zhang, J Liu, “A similarity

measure method fusing deep feature for mammogram retrieval” Journal of X-Ray Science and

Technology, 2019.

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8. Y Teng, Y Yao, S Qi, C Li, L Xu, W Qian, F Fan, G Wang, “A novel framework for the

NMF methods with experiments to unmixing signals and feature representation”, Journal of

Computational and Applied Mathematics, 362, 205-218, 2019.

9. Qingtao Gu, Shouliang Qi, Yong Yue, Jing Shen, Baihua Zhang, Wei Sun, Wei Qian,

Mohammad Saidul Islam, Suvash C Saha, Jianlin Wu, “Structural and functional alterations of

the tracheobronchial tree after left upper pulmonary lobectomy for lung cancer”, Biomedical

engineering 18 (1), 1-18, 2019.

10. Mingjie Xu, Shouliang Qi, Yong Yue, Yueyang Teng, Lisheng Xu, Yudong Yao, Wei Qian,

“Segmentation of lung parenchyma in CT images using CNN trained with the clustering

algorithm generated dataset”, Biomedical engineering, 18 (1), 2, 2019

11. Lin Qi, Haoran Zhang, Wenjun Tan, Shouliang Qi, Lisheng Xu, Yudong Yao, Wei Qian,

“Cascaded Conditional Generative Adversarial Networks with Multi-Scale Attention Fusion

for Automated Bi-Ventricle Segmentation in Cardiac MRI”, IEEE Access, 2019, PP 172305-

172320. 2019

12. Yanqing Bao, Xinzhuo Zhao, Lin Wang, Wei Qian, Jianjun Sun, “Morphology-based

classification of mycobacteria-infected macrophages with convolutional neural network:

reveal EsxA-induced morphologic changes indistinguishable by naked eyes”, Translational

Research, 2019, Vol. 212, PP1-13. 2019

13. Baihua Zhang, Shouliang Qi, Patrice Monkam, Chen Li, Fan Yang, Yu-Dong Yao, Wei Qian,

“Ensemble learners of multiple deep CNNs for pulmonary nodules classification using CT

images”, IEEE Access, 2019, Vol. 7, pp110358-110371. 2019

14. Hong Li, Hang Sun, Siqi Liu, Wei Zhang, Felicity Mmaezi Arukalam, He Ma, Wei Qian,

“Assessing the performance of benign and malignant breast lesion classification with bilateral

TIC differentiation and other effective features in DCE‐MRI”, Journal of Magnetic Resonance

Imaging, 2019, Vol. 50, pp465-473. 2019

15. Patrice Monkam, Shouliang Qi, He Ma, Weiming Gao, Yudong Yao, Wei Qian, “Detection

and classification of pulmonary nodules using convolutional neural networks: a survey”, IEEE

Access, 2019, pp78075-78091. 2019

16. Xia Huang, Wenqing Sun, Tzu-Liang Bill Tseng, Chunqiang Li, Wei Qian, “Fast and fully-

automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep

convolutional neural networks” Computerized Medical Imaging and Graphics, 2019, Vol. 74

pp25-36. 2019

17. Jiangdian Song, Jie Tian, Lina Zhang, Xiujuan Qu, Wei Qian, Bin Zheng, Jia Zhao, Meng

Niu, Mu Zhou, Lei Cui, Yunpeng Liu, Mingfang Zhao, “Development and validation of a

prognostic index for efficacy evaluation and prognosis of first-line chemotherapy in stage III–

IV lung squamous cell carcinoma”, European radiology, 2019, Vol. 29, Issue 5, pp2388-

2398. 2019

18. Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian,

Yuchen Qiu, Bin Zheng, “Association of computer-aided detection results and breast cancer

risk”, Medical Imaging 2019: Computer-Aided Diagnosis, Volume 10950. 2019

19. Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Wei Qian,

Yuchen Qiu, Bin Zheng, “Assessment of a quantitative mammographic imaging marker for

breast cancer risk prediction”, Medical Imaging 2019: Image Perception, Observer

Performance, and Technology Assessment, Vol. 10952. 2019

20. Xinzhuo Zhao, Wenqing Sun, Wei Qian, Shouliang Qi, Jianjun Sun, Bo Zhang, Zhigang

Yang, “Fine-grained lung nodule segmentation with pyramid deconvolutional neural

network”, Medical Imaging 2019: Computer-Aided Diagnosis, Vol. 10950. 2019

21. Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Wei Qian,

Yuchen Qiu, Bin Zheng, “Assessment of a quantitative mammographic imaging marker for

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breast cancer risk prediction”, Medical Imaging 2019: Image Perception, Observer

Performance, and Technology Assessment, Vol. 10952. 2019

22. Yanqing Bao, Xinzhuo Zhao, Lin Wang, Wei Qian, Jianjun Sun, “Morphology-based

classification of mycobacteria-infected macrophages with convolutional neural network:

reveal EsxA-induced morphologic changes indistinguishable by naked eyes CTC analysis”,

Featured New Investigator Articles VOLUME 212, October 2019.

23. Xinzhuo Zhao, Shouliang Qi, Baihua Zhang, He Ma, Wei Qian, Yudong Yao, Jianjun Sun,

“Deep CNN models for pulmonary nodule classification: Model modification, model

integration, and transfer learning”, Journal of X-ray science and technology, 2019, Vol. 27,

Issue 4, pp 615-629. 2019

24. Xinzhuo Zhao, Yanqing Bao, Lin Wang, Wei Qian, Jianjun Sun, “A novel deep learning

scheme for morphology-based classification of mycobacterial infection in unstained

macrophages”, bioRxiv, 2019,

25. Nan Bao, Ang Li, Wei Zhao, Zhiming Cui, Xinhua Tian, Yong Yue, Hong Li, Wei Qian,

“Automated fiducial marker detection and fiducial point localization in CT images for lung

biopsy image-guided surgery systems”, Journal of X-ray science and technology, 2019, Vol.

27, Issue 3. pp 417-429. 2019

26. Zhiqiong Wang, Yukun Huang, Mo Li, Hao Zhang, Chen Li, Junchang Xin, Wei Qian, “

Breast mass detection and diagnosis using fused features with density”, Journal of X-ray

science and technology, 2019, Vol. 27, Issue 2, pp 321-342. 2019

27. M Xu, S Qi, Y Yue, Y Teng, L Xu, Y Yao, W Qian, “Segmentation of lung parenchyma in

CT images using CNN trained with the clustering algorithm generated dataset” Biomedical

engineering online 18 (1), 2 2019.

28. H Li, H Sun, S Liu, W Zhang, FM Arukalam, H Ma, W Qian “Assessing the performance of

benign and malignant breast lesion classification with bilateral TIC differentiation and other

effective features in DCE‐MRI” Journal of Magnetic Resonance Imaging, 2019

29. J Song, J Tian, L Zhang, X Qu, W Qian, B Zheng, J Zhao, M Niu, M Zhou, “Development

and validation of a prognostic index for efficacy evaluation and prognosis of first-line

chemotherapy in stage III–IV lung squamous cell carcinoma” European radiology, 1-11 2019

30. P Monkam, S Qi, M Xu, H Li, F Han, Y Teng, W Qian “Ensemble Learning of Multiple-

View 3D-CNNs Model for Micro-Nodules Identification in CT Images” IEEE Access 7,

5564-5576, 2019

31. Baihua Zhang, Shouliang Qi*,Yong Yue, Jing Shen, Yueyang Teng, Wei Qian, Jianlin Wu,

Particle disposition in tracheobronchial tree of subjects with tracheal bronchus, COPD

simulated by CFD, BioMed Research International, 2018, Article ID: 7428609. (SCI, Q2)

32. Patrice Monkam, Shouliang Qi*, Mingjie Xu, Fangfang Han, Xinzhuo Zhao, Wei Qian, CNN

models discriminating between pulmonary micro-nodules and non-nodules from CT images,

Biomedical Engineering Online, 2018, 17: 96. https://doi.org/10.1186/s12938-018-0529-x.

(SCI, Q3)

33. Xinzhuo Zhao, Liyao Liu, Shouliang Qi*,Yueyang Teng, Jianhua Li, Wei Qian, Agile

Convolutional Neural Network for Pulmonary Nodule Classification Using CT Images,

International Journal of Computer Assisted Radiology and Surgery, 2018, 43(4): 585-595.

(SCI, Q3)

34. Shouliang Qi, Baihua Zhang, Yong Yue, Jing Shen, Yueyang Teng, Wei Qian, Jianlin Wu,

Airflow in tracheobronchial tree of subjects with tracheal bronchus simulated using CT image

based models and CFD method, Journal of Medical Systems, 2018, 42(4):65. (SCI, Q2)

35. Patrice Monkam, Shouliang Qi*, Mingjie Xu, Haoming Li, Fangfang Han,Yueyang Teng,

Wei Qian, Discrimination between micro-nodules and non-nodules in CT images using the

ensemble learning of multiple-view 3D-CNNs, IEEE Access, 2018, Accepted. (SCI, Q1)

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36. Mingjie Xu, Shouliang Qi*, Yong Yue, Yueyang Teng, Lisheng Xu, Yudong Yao, and Wei

Qian, Segmentation of lung parenchyma in CT images using a simplified CNN trained with

the clustering algorithm generated dataset, Biomedical Engineering Online, 2018, Accepted.

(SCI, Q3)

37. Zhiqiong Wang, Junchang Xin, Yukun Huang, Chen Li, Ling Xu, Yang Li, Hao Zhang,

HuiziGu, Wei Qian. A Similarity Measure Method Combining Location Feature for

Mammogram Retrieval. Journal of X-Ray Science and Technology，2018, 26(4): 553-

571.（SCI Q3, IF=1.381, EI）

38. Zhongyang Wang, Junchang Xin, Xinlei Wang, Zhiqiong Wang, Yue Zhao, Wei Qian.

Voxelwise-based Brain Function Network using Multi-Graph Model. Scientific Reports,

2018, accepted.（SCI Q1, IF=4.122）

39. Zhiqiong Wang, Yukun Huang, Mo Li, Hao Zhang, Chen Li, Junchang Xin, Wei Qian. Breast

Mass Detection and DiagnosisUsing Density Fusion Feature Based onExtreme Learning

Machine. Journal of X-Ray Science and Technology，2018,（SCI Q3, IF=1.381, EI）

40. Hang Sun, Hong Li, Shuang Si, Shouliang Qi, Wei Zhang, He Ma, Siqi Liu, Li Yingxue, Wei

Qian. Performance evaluation of breast cancer diagnosis with mammography,

ultrasonography and magnetic resonance imaging. Journal of X-ray science and technology

Preprint (2018): 1-14. (SCI)

41. ·Guohui Wei, Weihui Cao, He Ma, Shouliang Qi, Wei Qian, Zhiqing Ma. Content-based

image retrieval for Lung Nodule Classification Using Texture Features and Learned Distance

Metric, Journal of Medical Systems, 2018(42:13). （IF：2.456）

42. ·He Huang，He Ma*，Han JW van Triest，Yinghua Wei，Wei Qian. Automatic Detection

of Neovascularization in Retinal Images using Extreme Learning Machine，Neurocomputing,

2018,277, pp 218-227.（IF：3.317）

43. ·Guohui Wei, He Ma*, Wei Qian, Fangfang Han, Hongyang Jiang, Shouliang Qi, Min Qiu.

Lung nodule classification using local kernel regression models with out-of-sample extension,

Biomedical Signal Processing & Control, 2018, Volume 40, pp 1-9. （IF：2.214）

44. Liu HN, Li X, Wu N, Tong MM, Chen S, Zhu SS, Qian W, Chen XL. Serum microRNA-221

as a biomarker for diabetic retinopathy in patients associated with type 2 diabetes. Int J

Ophthalmol 11(12), 1889-1894, 2018.

45. S. Zhu, J. Lu, R. Chen, X. Cui, S. Chen*, W. Qian, Discrimination of bacteria species with

low signal-to-noise ratio Raman measurements. Proc. SPIE 10820: Optics in Health Care and

Biomedical Optics VIII, 10820-53 (12 October 2018)

46. S. Zhu, H. Liu, R. Du, D. Annick, S. Chen, W. Qian, Tortuosity of retinal main and branching

arterioles, venules in patients with type 2 diabetes and diabetic retinopathy in China. (under

review)

47. S. Zhu, X. Cui, W. Xu, S. Chen, W. Qian, Spectral Reconstruction Based Method for

Discrimination of Bacteria Species with Low Signal-to-Noise Ratio Raman Measurements.

(under review)

48. Hang Sun, Hong Li*, Shuang Si, Shouliang Qi, Wei Zhang*, He Ma, Siqi Liu, Yingxue Li,

Wei Qian. Performance evaluation of breast cancer diagnosis with mammography,

ultrasonography and magnetic resonance imaging [J], Journal of X-Ray Science and

Technology. 2018, 26(5): 805-813.

49. Hang Sun, Hongli Zhang, Siqi Liu, Hong Li*, Wei Zhang*, Felicity Mmaezi Arukalam, Wei

Qian. Automatic Breast Segmentation in MRI Using Improved Fully Convolutional Network

[J], Journal of Medical Imaging and Health Informatics. 2018, 8(8): 1660-1664.

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50. Fangfang Han, Linkai Yan, Junxin Chen, Yueyang Teng, Shouliang Qi, Wei Qian*, Jie Yang,

William Moore, Shu Zhang and Zhengrong Liang*, "Predicting Unnecessary Nodule Biopsy

for Early Lung Cancer Diagnosis from a Small and Unbalanced Pathologically Proved

Database by Transfer Learning", submitted to Computers in Biology and Medicine, SCI Q2.

51. Sun W, Tseng T, Qian W, Saltzstein EC, Zheng B, Yu H, Zhou S, A new near-term breast

cancer risk prediction scheme based on the quantitative analysis of ipsilateral view

mammograms, Computer Methods and Programs in Biomedicine, 2018; 155:28-38.

52. Shouliang Qi, Baihua Zhang, Yueyang Teng, Jianhua Li, Yong Yue, Yan Kang, Wei Qian,

Transient dynamics simulation of airflow in a CT-scanned human airway tree: more or fewer

terminal bronchi? Computational and Mathematical Methods in Medicine, Volume 2017,

Article ID 1969023.

53. Wang Y, Aghaei F, Zarafshani A, Qiu Y, Qian W, Zheng B, Computer-aided classification of

mammographic masses using visually sensitive image features, Journal of X-ray Science and

technology 2017; 25:171-186.

54. Zhang, Yang; Kerr, Matthew; Guan, Fada; Hartman, Joris; Jiang, Bo; Sahoo, Narayan; Zhu,

Xiaorong; Gillin, Michael; Qian, Wei; Zhang, Xiaodong “Dose Calculation for Spot

Scanning Proton Therapy with the Application of a Range Shifter" Biomed. Phys. Eng.

Express: BPEX-100657.R1, 2017

55. Sun W, Zheng B, Qian W, Automatic feature learning using multichannel ROI based on deep

structured algorithms for computerized lung cancer diagnosis, Computers in Biology and

Medicine 2017; 89:530-539.

56. Xinzhuo Zhao, Liyao Liu, Shouliang Qi*,Yueyang Teng, Jianhua Li, Wei Qian, An agile

Convolutional Neural Network for Pulmonary Nodule Classification Using CT Images,

International Journal of Computer Assisted Radiology and Surgery, Accepted.

57. Shouliang Qi, Baihua Zhang, Yong Yue, Jing Shen, Yueyang Teng, Wei Qian, Jianlin Wu,

Airflow in tracheobronchial tree of subjects with tracheal bronchus simulated using CT image

based models and CFD method, Journal of Medical Systems, Accepted.

58. Mingjie Xu, Shouliang Qi*, Yong Yue, Yueyang Teng, Lisheng Xu, Yudong Yao, and Wei

Qian, Segmentation of lung parenchyma in CT images using a simplified CNN trained with

the clustering algorithm generated dataset, IEEE Journal of Biomedical and health

informatics, Submitted.

59. Shouliang Qi*, Jinnan Sun, Jing Shen, Bo Zhang, Yueyang Teng, Jianlin Wu, Wei Qian,

Brain model for the diagnosis of schizotypal personality disorder constructed with multi-

dimensional functional brain network measures and Support Vector Machine, Frontiers in

Human Neuroscience, Submitted.

60. Teng Y Y, Qi S L, Dai Y, Xu L S, Qian W and Kang Y. Semi-supervised nonnegative matrix

factorization with commonness extraction. Neural Process Lett, 2017, 45 (3): 1-14. (SCI)

61. Guohui Wei, He Ma*, Wei Qian, Fangfang Han, Hongyang Jiang, Shouliang Qi, and Min

Qiu. Lung nodule classification using local kernel regression models with out-of-sample

extension, Biomedical Signal Processing & Control, 2017. (Accepted)

62. Hongyang Jiang, He Ma*, Wei Qian, Mengdi Gao, and Yan Li. An Automatic Detection

System of Lung Nodule Based on Multi-Group Patch-Based Deep Learning Network, IEEE

Journal of Biomedical and Health Informatics, 2017. (Accepted)

63. Hongyang Jiang, He Ma*, Wei Qian, Mengdi Gao, and Yan Li. An Automatic Detection

System of Lung Nodule Based on Multi-Group Patch-Based Deep Learning Network, IEEE

Journal of Biomedical and Health Informatics, 2017. (Accepted)

64. Guohui Wei，He Ma*，Wei Qian，Shouliang Qi，Hongyang Jiang，A Content-based Image

Retrieval Scheme for Lung Nodule Classification，Current Medical Imaging Reviews，2017.

(Accepted)

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65. He Huang，He Ma*，Han JW van Triest，Yinghua Wei，Wei Qian，Automatic Detection of

Neovascularization in Retinal Images using Extreme Learning Machine，Neurocomputing,

2017. (Accepted)

66. Hongyang Jiang，He Ma*，Mengdi Gao，Wei Qian, Using high resolution computed

tomography images to assess the risks of pathological change of pulmonary

parenchyma，Computed Tomography: Advances in Research and Applications, Nova Science

Publishers，2017.03.10. (Book Chapter)

67. Guohui Wei, He Ma*, Wei Qian, Xinzhuo Zhao, A content-based image retrieval scheme for

identifying lung nodule malignancy levels, 29th Chinese Control and Decision Conference

(CCDC), 2017. (Accepted)

68. Fangfang Han, Bowen Song, He Ma, Wei Qian, and Zhengrong Liang, Risk Prediction of

Small Pulmonary Nodules Based on Novel CT Image Texture Markers. In SPIE Medical

Imaging (pp. 101343Q-101343Q), 2017.

69. Peng X, Jiang G, Liu W, Zhang Q, Qian W, Sun J. Characterization of differential pore-

forming activities of ESAT-6 proteins from M. tuberculosis and M. smegmatis. FEBS Lett.

2016, 590(4): 509-19.

70. Zhang Q, Wang D, Jiang G, Liu W, Deng Q, Li X, Qian W, Ouellet H, Sun J. EsxA

membrane-permeabilizing activity plays a key role in mycobacterial cytosolic translocation

and virlence: effects of single-residue mutations at glutamine 5. Scientific Reports. 2016:

6:32618

71. Zhang, Yang; Kerr, Matthew; Guan, Fada; Hartman, Joris; Jiang, Bo; Sahoo, Narayan; Zhu,

Xiaorong; Gillin, Michael; Qian, Wei; Zhang, Xiaodong “Dose Calculation for Spot

Scanning Proton Therapy with the Application of a Range Shifter" Biomed. Phys. Eng.

Express: BPEX-100657.R1, 2017

72. Sun, Wenqing, Zheng, Bin and Qian, Wei “Automatic Feature Learning Using Multichannel

ROI Based on Deep Structured Algorithms for Computerized Lung Cancer Diagnosis”

Computers in Biology and Medicine, 2017

73. Wenqing Sun, Tzu-Liang (Bill) Tseng, Wei Qian, Jianying Zhang, Edward Saltzstein, Bin

Zheng, Fleming Lure, Hui Yu, Shi Zhou, "Using Multi-scale Texture and Density Features for

Near-term Breast Cancer Risk Analysis”, Medical Physics, 42(6) (2015), 2853-2862.

74. Wenqing Sun, Tzu-Liang Bill Tseng, Jianying Zhang, and Wei Qian. "Computerized breast

cancer analysis system using three stage semi-supervised learning method." Computer

Methods and Programs in Biomedicine 135 (2016): 77-88.

75. Hongyang Jiang, He Ma, Wei Qian, Guohui Wei. Risk Analysis for Pathological Changes in

Pulmonary Parenchyma Based on Lung Computed Tomography Images[J]. Journal of

computer assisted tomography, 2016, 40(3): 357-363.

76. Guohui Wei, He Ma, Wei Qian, Min Qiu. Similarity measurement of lung masses for medical

image retrieval using kernel based semisupervised distance metric. Medical Physics 43.12

(2016): 6259-6269.

77. Aghaei F, Tan M, Hollingsworth AB, Qian W, Liu H, Zheng B, Computer-aided breast MR

image feature analysis for prediction of tumor response to chemotherapy, Medical Physics

2015; 42:6520-6528.

78. Emaminejad N, Qian W, Guan Y, Tan M, Qiu Y, Liu H, Zheng B, Fusion of quantitative

image features and genomic biomarkers to improve prognosis assessment of early stage lung

cancer patients, IEEE Transactions on Biomedical Engineering, 2016; 63:1034-1043.

79. Yan S, Qian W, Guan Y, Zheng B, Improving lung cancer prognosis assessment by

incorporating synthetic minority oversampling technique and score fusion method, Medical

Physics 2016; 43:2694-2703.

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80. Wang Y, Aghaei F, Zarafshani A, Qiu Y, Qian W, Zheng B, Computer-aided classification of

mammographic masses using visually sensitive image features, Journal of X-ray Science and

technology 2016; DOI:10.3233/XST-16212.

81. Teng Y Y*, Qi S L, Dai Y, Xu L S, Qian W and Kang Y. Semi-supervised Nonnegative

Matrix Factorization with Commonness Extraction. Neural Process Lett, DOI

10.1007/s11063-016-9565-3. (SCI)

82. Yueyang Teng, Shouliang Qi, Lisheng Xu, Wei Qian and Yan Kang, A Framework for

Tikhonov-Regularized Nonnegative matrix Factorization, IEEE Transactions on Neural

Networks and Learning Systems. (under review)

83. Yueyang Teng, Yudong Yao, Shouliang Qi, Lisheng Xu, Wei Qian and Yan Kang, A

Generalization and Extension to Non-negative Matrix Factorizations, IEEE Transactions on

Pattern Analysis and Machine Learning. (under review)

84. He Huang, He Ma, Triest Han Jw Van, Yinghua Wei, Wei Qian. Automatic Detection of

Neovascularization in Retinal Images using Extreme Learning Machine[c]. The 7th

International Conference on Extreme Learning Machines, 2016. (Accepted)

85. He Ma, Tiantian Zhao, Jinghan Li, Wei Qian. Abandoned Object Detection Based on

Tachograph Videos. International Computer Symposium 2016. (Accepted)

86. Wenqing Sun, Tzu-Liang (Bill) Tseng, Jianying Zhang, Wei Qian, “Enhancing deep

convolutional neural network scheme for breast cancer diagnosis with unlabeled data”,

Computerized Medical Imaging and Graphics, 2016, in press

87. Wenqing Sun, Tzu-Liang (Bill) Tseng, Bin Zheng, Wei Qian, “Unsupervised Feature

Learning Based on Deep Structured Algorithms for Computerized Lung Cancer Diagnosis”,

IEEE transaction on Medical Imaging, on pending

88. Wenqing Sun, Tzu-Liang (Bill) Tseng, Wei Qian, Edward C. Saltzstein, Bin Zheng, Hui Yu,

Shi Zhou, “A new near-term breast cancer risk prediction scheme based on the quantitative

analysis of ipsilateral view mammograms”, Physics in Medicine and Biology.

89. Dianning He, Xiaobing Fan, James Clarke, Wei Qian, Lisheng Xu, Simulation study

comparing different population arterial input function models of dynamic contrast enhanced

MRI, Submitted to Mathematical Biosciences (under review)

90. Dianning He, Lu Wang, Xiaobing Fan, Yang Yao, Ning Geng, Yingxian Sun, Lisheng Xu,

Wei Qian, Using an improved mathematical model of wrist pulse waveform to characterize

health volunteers and patients with cardiovascular disease – A pilot study, prepare to submit

91. Dianning He, Wei Qian, Lisheng Xu, Marta Zamora and Xiaobing Fan, Using numerical

simulations and experiments to compare different pure mathematical models for analyzing

dynamic contrast enhanced MRI data, Current Medical Imaging Reviews (Accepted with

minor revision)

92. Tan M, Qian W, Pu J, Liu H, Zheng B, A new approach to develop computer-aided detection

schemes of digital mammograms, Physics in Medicine and Biology 2015; 60:4413-4427.

93. Sun W, Tseng T, Qian W, Zhang J, Saltzstein EC, Zheng B, Lure F, Yu H, Zhou S, Using

multiscale texture and density features for near-term breast cancer risk analysis, Medical

Physics 2015; 42:2853-2862.

94. Qian W, Sun W, Zheng B, Improving the efficacy of mammography screening: the potential

and challenge of developing new computer-aided detection approaches, Expert Review of

Medical Devices, 2015; DOI:10.1586/17434440.2015.1068115.

95. Emaminejad N, Qian W, Guan Y, Tan M, Qiu Y, Liu H, Zheng B, Fusion of image features

and genomic biomarkers to improve prognosis assessment of early stage lung cancer patients,

IEEE Transactions on Biomedical Engineering, 2015; DOI:10.1109/TBME.2015.2477688.

Wei Qian, Ph.D.

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96. Aghaei F, Tan M, Hollingsworth AB, Qian W, Liu H, Zheng B, Computer-aided breast MR

image feature analysis for prediction of tumor response to chemotherapy, Medical Physics

2015; 42:6520-6528.

97. Wenqing Sun, Tzu-Liang (Bill) Tseng, Jianying Zhang, Wei Qian. Near-term Breast Cancer

Risk Analysis Algorithm Design Based on Ipsilateral View Mammograms, IEEE transaction

on medical imaging, 2015 on pending

98. Liu W, De La Torre IG, Gutiérrez-Rivera MC, Wang B, Liu Y, Dai L, Qian W, Zhang JY*.

Tumour Biology. 2015 Feb;36(2):1307-12.

99. Sun W, Tseng TL, Qian W, Zhang J, Saltzstein EC, Zheng B, Lure F, Yu H, Zhou S Using

multiscale texture and density features for near-term breast cancer risk analysis, Med Phys.

2015 Jun;42(6):2853-62. doi: 10.1118/1.4919772.

100. Liu W, Li Y, Wang B, Dai L, Qian W, Zhang JY. (2015). Autoimmune Response to IGF2

mRNA-Binding Protein 2 (IMP2/p62) in breast cancer. Scand J Immunol. 2015 Feb 26. doi:

10.1111/sji.12285. [Epub ahead of print]

101. Sun, Wenqing, Bin Zheng, Fleming Lure, Teresa Wu, Jianying Zhang, Benjamin Y.

Wang, Edward C. Saltzstein, and Wei Qian. "Prediction of near-term risk of developing

breast cancer using computerized features from bilateral mammograms." Computerized

Medical Imaging and Graphics 38, no. 5 (2014): 348-357.

102. Wenqing Sun, Tzu-Liang (Bill) Tseng, Hannah Gonzalez, Jianying Zhang, Wei Qian.

"Computerized Breast Cancer Analysis System Using Three Stage Semi-supervised Learning

Method”, Artificial Intelligence in Medicine, in pending 2014.

103. Wenqing Sun, Tzu-Liang (Bill) Tseng, Wei Qian, Jianying Zhang, Edward Saltzstein, Bin

Zheng, Fleming Lure, Hui Yu, Shi Zhou, "Using Multi-scale Texture and Density Features for

Near-term Breast Cancer Risk Analysis”, Medical Physics, 2014.

104. Ye H, Sun C, Ren P, Dai L, Peng B, Wang K, Qian W, Zhang J. (2014). Mini-array of

multiple tumor-associated antigens (TAAs) in the immunodiagnosis of breast cancer.

Oncology Letters. 5:663-668.

105. Liu X, Chai Y, Li J, Liu M, Ren P, Dai L, Qian W, Zhang JY*. (2014). Autoantibody

response to a novel tumor-associated antigen p90/CIP2A in breast cancer immunodiagnos.

Tumour Biology, 35:2661-2667.

106. Li Y, Zhang Q, Peng B, Shao Q, Qian W, Zhang JY*. Identification of glutathione S-

transferase omega 1 (GSTO1) protein as a novel tumor-associated antigen and its

autoantibody in human esophageal squamous cell carcinoma. Tumour Biol. 2014 Aug 2.

[Epub ahead of print]

107. Chai Y, Peng B, Dai L, Qian W, Zhang Y, Zhang JY*. (2014). Autoantibodies response

to MDM2 and p53 in the immunodiagnosis of esophageal squamous cell carcinoma.

Scandinavian Journal of Immunology 80:362-368.

108. Liu W, De La Torre IG, Gutierrez-Rivera MR, Wang B, Liu Y, Dai L, Qian W, Zhang

JY*. Detection of autoantibodies to multiple tumor-associated antigens (TAAs) in the

immunodiagnosis of breast cancer. Tumour Biol. 2014 October 17. [Epub ahead of print]

109. Dai L, Li J, Ortega R, Qian W, Casiano CA, Zhang JY*. Preferential Autoimmune

Response in Prostate Cancer to Cyclin B1 in a Panel of Tumor–Associated Antigens. J

Immunol Res. 2014:827827. doi: 10.1155/2014/827827. Epub 2014 Apr 17.

110. Liu W, Li Y, Wang B, Dai L, Qian W, Zhang JY*. Autoimmune response to IGF2

mRNA-binding protein 2 (IMP2/p62) in breast cancer. Scand J Immunol. Accepted 2014.

111. Tan M, Qian W, Pu J, Liu H, Zheng B, “A New Approach to Develop Computer-aided

Detection Scheme of Digital Mammograms,” Revised manuscript submitted to Physics in

Medicine and Biology, November 24, 2014.

Wei Qian, Ph.D.

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112. Emaminejad N, Qian W, Guan Y, Liu H, Zheng B, “Fusion of Quantitative Image and

Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer

Patients,” Submitted to IEEE Transaction on Biomedical Engineering, January 9, 2015.

113. Liu X, Chai Y, Ren P, Liu M, Dai L, Qian W, Li W, Zhang J. (2013). Autoantibody

response to a novel tumor-associated antigen p90/CIP2A in breast cancer immunodiagnosis.

Tumor Biology (in Press), 2013.

114. Wenqing Sun, Bin Zheng, Fleming Lure, Jianying Zhang, Benjamin Y. Wang, Edward C.

Saltzstein, Wei Qian, Prediction of Near-term Risk of Developing Breast Cancer Using

Computerized Features from Bilateral Mammograms, Computerized Medical Imaging and

Graphics, 2013

115. Ye H, Sun C, Ren P, Dai L, Peng B, Wang K, Qian W, Zhang J. (2013). Mini-array of

multiple tumor-associated antigens (TAAs) in the immunodiagnosis of breast cancer.

Oncology Letters. 5:663-668. 2013.

116. Liu X, Liu M, Dai L, Chai Y, L J, Wang P, Wang K, Song C, Jaramillo C, Qian W, Li W,

Zhang JY. Humoral autoimmune responses to insulin-like growth factor II mRNA-bingding

proteins in ovarian cancer. Molecular Biology Report (2013, Submitted)

117. Chai Y, Liu X, Dai L, Liu M, Zhu Q, Qian W, Zhang JY. Overexpression of

HCC1/CAPERα may play a role in lung cancer carcinogenesis. Lung Cancer (2013,

Submitted)

118. Dansheng Song, M.S., Tatyana A. Zhukov, Ph.D., P.M.I.A.C., Olga Markov, Ph.D., Wei

Qian, Ph.D., and Melvyn S. Tockman, Ph.D., M.D. "A New Method for Lung Cancer

Prognosis via Centrosome Image Feature Analysis" Analytical and Quantitative Cytology

and Histology, pp 122 - 136, August. 2012.

119. W Liu, B Peng, Y Lu, Wei Qian, JY Zhang. Autoantibodies to tumor-associated antigens as

biomarkers in cancer immunodiagnosis. Autoimmunity Reviews, April, 2011.

120. Pablo Rivas-Perea, Jose Gerardo Rosiles, and Wei Qian, "Subjective Colocalization

Analysis with Fuzzy Predicates" Soft Computing for Intelligent Control and Mobile

Robotics, Volume 318/2011, pp. 373-393, 2011, ISBN: 978-3-642-15533-8, Springer 2011

121. Wang K, Chen Y, Liu S, Qiu S, Gao S, Huang X, Zhang J, Peng XX, W Qian, Zhang JY.

Immunogenicity of Ral A and its tissue-specific expression in hepatocellular carcinoma. Int J

Immunopathol Pharmacol 22(3) 2009:735-743.

122. Samala R, Moreno W, You Y, Qian, Wei. A Novel Approach to Nodule Feature

Optimization on Thin Section Thoracic CT. Academic Radiology, Volume 16, Issue 4, Pages

418-427, April 2009.

123. Dansheng Song, M.S., Inna Fedorenko, B.A., Marianna Pensky, Ph.D., Melvyn Tockman,

M.D., Ph.D., Tatyana Zhukov, Ph.D. Wei Qian, Ph.D.,"Feasibility of Distinguishing

Untreated Lung Cancer Cells and Normal cells through Quantitative Calculation and

Statistical Analysis of Centrosomal Features" Analytical and Quantitative Cytology and

Histology, pp 78 - 89, Sept. 2009.

124. Qian, W., Yao, Y., Lei, M. Song, D. and Romilly, PA. Similarity/Rotation Invariant

Enhancement using Fourier Descriptors in Digital Mammography. Book Chapter of

Biomedical Imaging Handbook by Elsevier, September 2008.

125. Walker H. Land, Daniel W. McKee, Tatyana Zhukov, Dansheng Song, Wei Qian, “A

kernelised fuzzy-Support Vector Machine CAD system for the diagnosis of lung cancer from

tissue images”, International Journal of Functional Informatics and Medicine, Volume 1,

Number 1 Jan. 2008, pp 26 – 52.

126. Qian W, Minshan Lei, Dansheng Song, Ravi Sankar, and Edward Eikman, “Computer Aided

Mass Detection based on Ipsilateral Multi-view Mammograms”. Academic Radiology, Vol.

14, No. 5, May of 2007, pp530 - 538.

Wei Qian, Ph.D.

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127. Zhukov TA, Pottackal S, Monteiro A, Martino M, Lancaster J, Qian W, Tockman

MS, Protein Microarrays and Quantum Dot-Probes for Early Cancer Detection, Journal of

Colloids and Surfaces B: Biointerfaces, pp 231-245, Nov. of 2006.

128. Zajac A, Song DS, Qian W, Zhukov TA. Protein Microarrays and Quantum Dot-Probes for

Early Cancer Detection. Colloids and Surfaces B: Biointerfaces, 58 (2007) pp 309-314 .

129. Qian Wei, Zhukov TA, Song, M.Sc and Tockman MS, “Computerized Analysis of Cellular

Features and Biomarkers for Cytologic Diagnosis of Early Lung Cancer.” Journal of Analytical

and Quantitative Cytology and Histology, Vol. 10, PP 18-28 April. 2007.

130. Luo P, Eikman E, Kealy W, & Qian, W. “An Analysis of a Mammography Teaching Program

Based on an Affordance Design Model”. Academic Radiology. 12(11): 1112-1123, 2006

131. Zhang Y., Sankar, R. and Qian, W., Boundary Delineation in Transrectal Ultrasound Image

for Prostate Cancer, Computers in Biology and Medicine, pp 65-77, Vol. 37, Issue 11,

November 2007.

132. Zhukov TA, Pottackal S, Monteiro A, Martino M, Lancaster J, Qian W., Song DS, Cantor AB,

Sellers TA, Tockman MS. Novel Lung Cancer Biomarker -H2AX (Marker of DNA Damage

Response) and Estrogen Receptors Pathways: Do They Crosstalk? Journal of Thoracic

Oncology, pp323- 354, 2006.

133. Luo, P., Qian, W., Romilly, P. CAD-aided mammogram training. Academic Radiology,

12:1039-1048, 2005.

134. Qian, W., Sankar, R., Song, X., Sun, X. and Clark, R. Standardization for image

characteristics in telemammography using genetic and nonlinear algorithms. Computers in

Biology and Medicine, 35:183-196, 2005

135. Sun, X., Qian, W., and Song, D. Ipsilateral-Mammogram Computer-Aided Detection of Breast

Cancer. Computerized Medical Imaging and Graphics, 28:151-158, 2004.

136. Zhang, L., Sankar. R. and Qian, W.. Advances in micro-calcification clusters detection in

mammography. Computers in Biology and Medicine, pp1-14, July, 2002.

137. Qian, W., Xunjue Sun, and R. Clark. Multi-resolution/Multi-orientation Based Nonlinear

Filters for Image Enhancement and Detection in Digital Mammography. Journal of X-Ray

Science and Technology 9, 2002, 1-15 XST 54. The Netherlands.

138. Qian, W., Fei Mao, DanSheng Song, Xuejun Sun and R. A. Clark. An Improved Method of

Region Grouping for Micro-calcification Detection in Digital Mammograms. Computerized

Medical Imaging and Graphics, 26:361-368, 2002.

139. Qian, W., Sun, XJ., Song, DS and Clark, R. A. Digital Mammography: Wavelet Transform

and Kalman Filtering Neural Network in Mass Segmentation and Detection. Academic

Radiology, Aug. 2001, pp1074-1082.

140. Qian, W., A Novel Hybrid Filter Architecture for Image Enhancement in Medical Imaging,

Chapter in the Handbook of Medical Image Processing. Academic Press, pp57-69, 2000.

141. Qian, W., Li, LH., Clarke,LP., and Clark, RA. Digital Mammography: Comparison of

Adaptive and Non-Adaptive CAD Methods for Mass Detection. Academic Radiology, 6:471-

480, 1999.

142. Qian, W., Mao, F., Gaviria ,J. and Clarke, LP. "Fragmentary Window Filtering for Multiscale

Lung Nodule Detection: Preliminary Study," Academic Radiology, Vol. 5, No.4, April 1998,

pp306-311.

143. Qian, W., Li LH. and Clarke, LP. Image feature extraction for mass detection using digital

mammography: Influence of wavelet analysis. Medical Physics, 26:402-408, 1999.

144. Qian, W., Li, HD., Kallergi, M., Song, DS., and Clarke, LP. Adaptive Neural Network for

Nuclear Medicine Images Restoration. Journal of VLSI Signal Processing Systems for Signal,

Image, and Video Technology, 18:297-315, 1998.

Wei Qian, Ph.D.

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145. Qian, W. and Clarke LP, Digital Mammography: Hybrid 4-Channel Wavelet Transform for

Microcalcification Segmentation. Academic Radiology, 5:354-364, 1998.

146. Li. L, Qian, W., Clarke LP and Clark RA, Digital Mammography: Directional Wavelet

Analysis for Feature Extraction and Mass Detection. Academic Radiology, 4:724-731, 1997.

147. Qian, W and Clarke LP, Wavelet-based neural network with fuzzy-logic adaptivity for nuclear

image restoration. Proceedings of IEEE, Special Issue on Applications of Neural Networks,

Invited paper, Oct. 1996 pp1458-1473.

148. Li, HD, Kallergi M, Qian W, Jain VJ, and Clarke LP. Neural network with maximum entropy

constraint for nuclear medicine image restoration. Optical Engineering, 34:1431-1440, 1995.

149. Zheng, BY., Qian, W. and Clarke LP. Digital mammograghy: MF-based NN for automatic

detection of microcalcifications, IEEE Trans. on Medical Imaging, 589-598, 1996.

150. Qian, W., Clarke LP, and Kallergi M. A restoration algorithm for P-32 and Y-90

bremsstrahlung emission nuclear imaging: A Wavelet-neural network approach. Med. Phys.

23:1309-1323, 1996.

151. Qian, W., Clarke L.P., Kallergi M., and Clark R.A., Tree structured nonlinear filters in Digital

mammography. IEEE Trans. Med. Imag. 25-37, 1994.

152. Lucier BJ, Kallergi M, Qian W, DeVore RA, Clark RA, Saff EB, and Clarke LP. Wavelet

compression and segmentation of mammographic images. J of Dig Imag 27-37, 1994.

153. Zhang, Y. Kallergi M, DeVore R, Lucier BJ, Qian W, Clark RA, and Clarke LP. Digital

mammogram compression with standard, hyperbolic, and adaptive wavelets. IEEE Engineering

in Medicine and Biology Magazine, Invited Paper, 14:570-577, 1995.

154. Qian, W., Clarke L.P., Kallergi M., Baoyu Zheng and Clark R.A., Wavelet Transform for

Computer Assisted Diagnosis (CAD) for Digital Mammography IEEE Engineering in

Medicine and Biology Magazine, Invited Paper, 14:561-569, 1995.

155. Qian, W., Clarke L.P., Li H.D., Kallergi M., Clark R.A., and Silbiger M.L., Application of M-

Channel Quadrature Mirror Filters for Microcalcification Extraction in Digital Mammography.

Computerized Medical Imaging and Graphics, 18:301-314, 1993.

156. Clarke L.P., Kallergi M., Qian W., Li H.D., Clark R.A., and Silbiger M.L., Tree-Structured

Non-linear filter and Wavelet Transform for microcalcification segmentation in digital

mammography, Cancer Letters 77:173-181, 1994.

157. Qian, W., Kallergi M.,Clarke L.P.,Li H.D., Venugopal P, Song DS, Clark R.A.,Tree-structured

filter and wavelet transform for microcalcification segmentation in digital mammography.

Med. Phys. 22:1247-1254, 1995.

158. Qian W., Kallergi M. and Clarke L.P. Order Statistic-Neural Network Hybrid Filters for

Gamma Camera Image Restoration. IEEE Trans. in Medical Imaging, 56-65, 1993.

159. Richards D, Clarke L.P, Qian, W, CCD Imaging of the nerve fiber layer of the human retina.

Graefe's Arch Clin Exp Aphthomalogy, 595-599, 1993

160. Kallergi M, Woods K, Clarke LP, Qian, W, and Clark RA. Image Segmentation in Digital

Mammography: Comparison of Local Thresholding and Region Growing. Algorithms.Comp

Med Imag Graph, 16:323-331, 1992.

161. Qian, W. The Modeling and Recognition of 3-D Images by Space Markov Cubic Mesh

Models, Journal of Electronics, Vol.4, 23-31 1990.

162. Qian, W. Multi-Adaptive Nonlinear Two-Dimensional Filterings. ACTA ELECTRONICA

SINICA, Vol.5, 72-88 1990.

163. Qian, W. 3-D Recursive Digital Filtering with Linear-phase. Signal Processing, Vol.3, 35-47,

1989.

164. Qian, W. The Modeling of 3-D Images and Space Markov Cubic Mesh Models. Journal of

Electronics, 6:64-78, 1989.

165. Qian, W. and Ouyan M. 2-D Recursive Digital Filtering on Symmetry Constraints. Journal of

Wei Qian, Ph.D.

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China Institute of Communications, 8:53-58, 1987.

166. Qian, W. and Ouyan M. The Optimal Design of 2-D Recursive Digital Filters on the Basis of

Symmetry. Journal of China Institute of Communications, 7:84-92, 1986.

Invited Publications

Invited paper: Autoimmunity Reviews

Invited book chapter: Soft Computing for Intelligent Control and Mobile Robotics, ISBN:

978-3-642-15533-8

Invited paper: Proceedings of the IEEE, Special Issue on Neural Network Applications.

Invited paper: IEEE Eng. in Medicine and Biology Magazine, Wavelets for Image Analysis

Invited paper: World Congress on Neural Networks, Washington, D.C.

Invited paper: World Congress on Neural Networks, San Diego, California

Proceeding Papers/Conference Presentations/Plenary Presentations:

1. Mengdi Gao, Hongyang Jiang, Dongdong Zhang, He Ma, Wei Qian, “Quantitative

pathologic analysis of pulmonary nodules using three-dimensional computed tomography

images based on latent Dirichlet allocation”, 2019 41st Annual International Conference of

the IEEE Engineering in Medicine and Biology Society (EMBC), 23-27 July 2019. Berlin,

Germany.

2. Hongyang Jiang, Kang Yang, Mengdi Gao, Dongdong Zhang, He Ma, Wei Qian, “ An

Interpretable Ensemble Deep Learning Model for Diabetic Retinopathy Disease

Classification” 2019 41st Annual International Conference of the IEEE Engineering in

Medicine and Biology Society (EMBC), 23-27 July 2019. Berlin, Germany.

3. He Huang, He Ma, Wei Qian, “Automatic Parallel Detection of Neovascularization from

Retinal Images Using Ensemble of Extreme Learning Machine”, 2019 41st Annual

International Conference of the IEEE Engineering in Medicine and Biology Society

(EMBC), 23-27 July 2019. Berlin, Germany.

4. Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian,

Yuchen Qiu, Bin Zheng, “Association of computer-aided detection results and breast

cancer risk”, Medical Imaging 2019: Computer-Aided Diagnosis, Volume 10950.

5. Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Wei

Qian, Yuchen Qiu, Bin Zheng, “Assessment of a quantitative mammographic imaging

marker for breast cancer risk prediction”, Medical Imaging 2019: Image Perception,

Observer Performance, and Technology Assessment, Vol. 10952.


Yang, “Fine-grained lung nodule segmentation with pyramid deconvolutional neural

network”, Medical Imaging 2019: Computer-Aided Diagnosis, Vol. 10950.


Qian, Yuchen Qiu, Bin Zheng, “Assessment of a quantitative mammographic imaging

marker for breast cancer risk prediction”, Medical Imaging 2019: Image Perception,

Observer Performance, and Technology Assessment, Vol. 10952.

8. Fangfang Han, Linkai Yan, Chen Li, Shouliang Qi, William Moore, Zhengrong Liang*,

Wei Qian*, "Predicting unnecessary nodule biopsy for a small lung cancer screening

dataset by less-abstractive deep features", 20 February 2019 • 5:30 - 7:00 PM | Part of SPIE

Medical Imaging.

Wei Qian, Ph.D.

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Qian, Yuchen Qiu, Bin Zheng “Assessment of a quantitative mammographic imaging

marker for breast cancer risk prediction” 21 February 2019 • 2:20 - 2:40 PM | Part of SPIE

Medical Imaging.

10. Chuan Zhou, Qian Dong, Heang-Ping Chan, Erica L. Campagnaro, Jun Wei, Lubomir M.

Hadjiiski “Quantitative MRI biomarker for treatment response assessment of multiple

myeloma: robustness evaluation using independent test set of prospective cases” 20

February 2019 • 5:30 - 7:00 PM | Part of SPIE Medical Imaging

11. Seyedeh-Nafiseh Mirnia-harikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian,

Yuchen Qiu, Bin Zheng “Association of computer-aided detection results and breast

cancer risk” 17 February 2019 • 3:30 - 3:50 PM | Part of SPIE Medical Imaging.


Yang “Fine-grained lung nodule segmentation with pyramid deconvolutional neural

network” 20 February 2019 • 5:30 - 7:00 PM | Part of SPIE Medical Imaging

13. He Huang, He Ma, Wei Qian. Automatic Parallel Detection of Neovascularization in

Retinal Images Using Ensemble of Extreme Learning Machine, in proceeding of the 9th

International Conference on Extreme Learning Machines, 2018.

14. Wang Y, Heidari M, Mirniaharikandehei S, Gong J, Qian W, Qiu Y, Zheng B, A Hybrid

deep learning approach to predict malignancy of breast lesions using mammograms, Proc

SPIE 2018; 10579-29.

15. Aghaei F, Danala G, Wang Y, Zarafshani A, Qian W, Liu H, Zheng B, Association

between mammogram density and background parenchymal enhancement of breast MRI,

Proc SPIE 2018; 10575-94.

16. Heidari M, Zargari A, Danala G, Mirniaharikandehei S, Qian W, Zheng B, Applying a

machine learning model using a locally preserving projection based feature regeneration

algorithm to predict breast cancer risk, Proc SPIE 2018; 10579-27.

17. Wenqing Sun, Bin Zheng, Xia Huang, Wei Qian, "Balance the nodule shape and

surroundings: a new multichannel image based convolutional neural network scheme on

lung nodule diagnosis", Proceedings of SPIE Vol. 10134, 101343L (2017)

18. Wenqing Sun, Xia Huang, Tzu-Liang B. Tseng, Wei Qian, "Automatic lung nodule graph

cuts segmentation with deep learning false positive reduction", Proceedings of SPIE Vol.

10134, 101343M (2017)

19. Xia Huang, Chunqiang Li, Chuan Xiao, Wenqing Sun, Wei Qian, "A fully-automated

multiscale kernel graph cuts based particle localization scheme for temporal focusing two-

photon microscopy", Proceedings of SPIE Vol. 10137, 101371I (2017)

20. Wenqing Sun, Bin Zheng, Wei Qian. “Computer aided lung cancer diagnosis with deep

learning algorithms.” SPIE Medical Imaging 2016. International Society for Optics and

Photonics.

21. Wenqing Sun, Xia Huang, Tzu-Liang B. Tseng, Jianying Zhang, Wei Qian. “Computerized

lung cancer malignancy level analysis using 3D texture features.” In SPIE Medical Imaging

2016. International Society for Optics and Photonics.

22. Wenqing Sun, Xia Huang, Chunqiang Li, Chuan Xiao, Wei Qian. “A novel kalman filter

based video image processing scheme for two-photon fluorescence microscopy.” In SPIE

Medical Imaging 2016. International Society for Optics and Photonics.

23. Wenqing Sun, Tzu-Liang Bill Tseng, Bin Zheng, and Wei Qian. “A Preliminary Study on

Breast Cancer Risk Analysis Using Deep Neural Network.” In International Workshop on

Digital Mammography, pp. 385-391. Springer International Publishing, 2016.

24. Wenqing Sun, Tzu-Liang Bill Tseng, Bin Zheng, Jiangying Zhang, and Wei Qian. “A

Novel Breast Cancer Risk Assessment Scheme Design Using Dual View Mammograms.”

Wei Qian, Ph.D.

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In International Workshop on Digital Mammography, pp. 392-399. Springer International

Publishing, 2016.

25. Wenqing Sun, Tzu-Liang B. Tseng, Bin Zheng, Jianying Zhang, Wei Qian. “A new breast

cancer risk analysis approach using features extracted from multiple sub-regions on

bilateral mammograms.” In SPIE Medical Imaging 2016 (pp. 941422-941422).

International Society for Optics and Photonics.

26. Dianning He, Wei Qian, Lisheng Xu, Xiaobing Fan, Using numerical simulations to

compare and evaluate different mathematical models for analyzing dynamic contrast

enhanced MRI data, ISMRM 2016.

27. Zheng B, Qian W, Li L, Pu J, Kang Y, Lure F, Tan M, Qiu Y, A new CAD approach for

improving efficacy of cancer screening, Proc SPIE 2015; 941424 (20 March 2015) DOI:

10.1117/12.2076775.

28. Emaminejad N, Qian W, Guan B, Kang Y, Lure F, Zheng B, Exploring new quantitative

CT image features to improve assessment of lung cancer prognosis, Proc SPIE 2015;

94141M (20 March 2015) DOI:10.1117/12.2081617.

29. Dhurjaty S, Qiu Y, Tan M, Qian W, Zheng B, A new paradigm of dielectric relaxation

spectroscopy for non-invasive detection of breast abnormalities: a preliminary feasibility

analysis, Proc SPIE 2016; 97832P (March 29, 2016); DOI:10.1117/12.2217196.

30. Tan M, Aghaei F, Wang Y, Qian W, Zheng B, Improving the performance of lesion-based

computer-aided detection schemes of breast masses using a case-based adaptive cueing

method, Proc SPIE 2016; 97851V (March 24, 2016); DOI:10.1117/12.2216313.

31. Sun W, Zheng B, Qian W, Computer aided lung cancer diagnosis with deep learning

algorithms, Proc SPIE 2016; 97850Z (March 24, 2016); DOI:10.1117/12.2216307.

32. Emaminejad N, Yan S, Wang Y, Qian W, Guan Y, Zheng B, Applying a radiomics

approach to predict prognosis of lung cancer patients, Proc SPIE 2016; 97851E (March 24,

2016); DOI:10.1117/12.2214672.

33. Emaminejad N, Qian W, Guan B, Kang Y, Lure F, Zheng B, Exploring new quantitative

CT image features to improve assessment of lung cancer prognosis, Proc SPIE 2015;

94141M (20 March 2015) doi:10.1117/12.2081617.

34. Wenqing Sun, Tzu-Liang B. Tseng, Bin Zheng, Jianying Zhang, Wei Qian. “A new breast

cancer risk analysis approach using features extracted from multiple sub-regions on

bilateral mammograms.” SPIE Medical Imaging, 2015

35. Wenqing Sun , Xia Huang, Jianying Zhang, Wei Qian, Computerized lung cancer

malignancy level analysis using 3D texture features, SPIE medical imaging 2016

36. Wenqing Sun, Bin Zheng, Wei Qian, Computer aided lung cancer diagnosis with deep

learning algorithms, SPIE medical imaging 2016

37. Wenqing Sun , Xia Huang, Chunqian Li, Chuan Xiao, Wei Qian, A novel Kalman filter

based video image processing scheme for two-photon fluorescence microscopy, SPIE

medical imaging 2016

38. Liping Dai, Pei Li, Jitian Li, Chenglin Luo, Yumin Lu, Carlos A. Casiano, Eng M. Tan,

Wei Qian, Jian-Ying Zhang. Hallmark of immune responses to multiple tumor-associated

antigens (TAAs) in immunodiagnosis of hepatocellular carcinoma (HCC) and other solid

tumors. Annual Meeting of AACR (American Association for Cancer Research), April

2015

39. Jitian Li, Liping Dai, Carlos A. Casiano, Wei Qian and Jianying Zhang. Evaluation and

characterization of anti-RalA autoantibody as a potential biomarker in human prostate

cancer. Annual Meeting of AACR (American Association for Cancer Research), April

2015

Wei Qian, Ph.D.

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40. Jitian Li, Liping Dai, Carlos A. Casiano, Wei Qian and Jianying Zhang. Evaluation and

characterization of anti-RalA autoantibody as a potential biomarker in human prostate

cancer. BBRC, Sept. 2015, El Paso

41. Jianxiang Shi, Hao Sun, Hongfei Zhang, Pei Li, Liping Dai, Wei Qian and Jianying Zhang.

A panel of 15 TAAs in the detection of ovarian cancer. BBRC, Sept. 2015, El Paso


Systematic Discovery of Biomarkers for Ovarian Cancer. BBRC, Sept. 2015, El Paso


Evaluation and validation of IMP2 (IMP1, P62, Koc) as TAAs biomarkers in acute myeloid

leukemia (AML). BBRC, Sept. 2015, El Paso

44. Hongfei Zhang, Jianxiang Shi, Hao Sun, Pei Li, Liping Dai, Wei Qian and Jianying Zhang.

A panel of IgG type autoantibodies to multiple tumor-associated antigens in the diagnosis

of esophageal squamous cell cancer. BBRC, Sept. 2015, El Paso

45. Liping Dai, Pei Li, Jitian Li, Chenglin Luo, Yumin Lu, Carlos A. Casiano, Eng M. Tan,

Wei Qian and Jian-Ying Zhang. Hallmark of immune responses to multiple tumor-

associated antigens (TAAs) in immunodiagnosis of hepatocellular carcinoma (HCC) and

other solid tumors. BBRC, Sept. 2015, El Paso

46. Bin Zheng, Wei Qian, Lihua Li, Jiantao Pu, Yan Kang, Fleming Yuan Ming Lure, Maxine

Tan, Yuchen Qiu A new CAD approach for improving efficacy of cancer screening 23

February 2015 • 5:30 - 7:00 PM | Part of SPIE Medical Imaging

47. Nastaran Emaminejad, Wei Qian, Yan kang, Yubao Guan, Bin Zheng Exploring new

quantitative CT image features to improve assessment of lung cancer prognosis 25

February 2015 • 8:40 - 9:00 AM | Part of SPIE Medical Imaging

48. Wenqing Sun, Tzu-Liang B. Tseng, Bin Zheng, Wei Qian A new breast cancer risk

analysis approach using features extracted from multiple sub-regions on bilateral

mammograms 23 February 2015 • 5:30 - 7:00 PM | Part of SPIE Medical Imaging.

49. Wenqing Sun, Tzu-Liang Tseng, Bin Zheng, Wei Qian. Using undiagnosed data to enhance

computerized breast cancer analysis with a three stage data labeling method ( SPIE

Medical Imaging 2014 Conference Proceedings) Authors: Published: 20 Mar 2014

50. Maxine Tan, Nastaran Emaminejad, Wei Qian. Evaluation of correlation between CT

image features and ERCC1 protein expression in assessing lung cancer prognosis (SPIE

Medical Imaging 2014 Conference Proceedings), Published: 11 Mar 2014

51. Bin Cao, Sayan Chakraborty, Wenqing Sun, Wei Qian. Imaging marine virus CroV and its

host Cafeteria roenbergensis with two-photon microscopy (SPIE Medical Imaging 2014

Conference Proceedings) Published: 27 Feb 2014

52. Lure, Ph.D., MS Technologies Corporation; Wei Qian, Ph.D. “Use of Patient-Centric

Electronic Health Record and Big Data Analytics to Reduce Hospital Readmission”, 2014

Open Source Summit: Global Collaboration in Health IT, September 3-5 at the Bethesda,

Maryland.

53. Wenqing Sun, Tzu-Liang (Bill) Tseng, Sergio Cabrera, Jiangying Zhang, Miguel Vélez-

Reyes, Wei Qian, "Using Undiagnosed Data to Enhance Computerized Breast Cancer

Analysis with a Three Stage Data Labeling Method", Proceedings of SPIE Medical

Imaging, in San Diego, California USA 16-20 February 2014.

54. Bin Zheng, Fleming Lure and Wei Qian “Evaluation of correlation between CT image

features and ERCC1 gene expression in assessing lung cancer prognosis,” Proceedings of

SPIE Medical Imaging, in San Diego, California USA 16-20 February 2014

55. Maxine Tan, Nastaran Emaminejad, Wei Qian, Fleming Lure, Bin Zheng, Evaluation of

Correlation between CT Image Features and ERCC1 Gene Expression in Assessing Lung

Cancer Prognosis, Proceedings of SPIE Medical Imaging, 2014.

Wei Qian, Ph.D.

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56. Li Y, Peng B, Lei N, Qian W, Francia G, Zhang JY. P62/IMP2 promotes breast cancer cell

progression. American Association for Cancer Research (AACR) Annual Proceeding, San

Diego, CA. (April 2014).

57. Samala, R., Leung, M. Y., Cabrera, S., Zhang, J., Moreno, W., Qian, W. Volume of

Interest (VOI)-Based Retrieval using Psychophysical Similarity and Graph Cut, IEEE

Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis,

2012.

58. Dansheng Song, Tatyana Zhukov, Olga Markov, Wei Qian, Melvyn Tockman,

PROGNOSIS OF STAGE I LUNG CANCER PATIENTS THROUGH QUANTITATIVE

ANALYSIS OF CENTROSOMAL FEATURES, IEEE International Symposium on

Biomedical Imaging: From Nano to Macro 2 – 5 May, 2012 • Barcelona, Spain

59. Akshay Pai, Ravi K. Samala, Venkata S. Potunuru,Sergio D. Cabrera, Wei Qian

POTENTIAL DIAGNOSTIC APPLICATION OF UWB MICROWAVE IMAGING

Proceedings of SPIE Symposium on Medical Imaging, in San Diego, California USA,

February 13-18, 2011.

60. Peng B, Lei N, Peng X, Qian W, Tan EM, Zhang J. p90/CIP2A may play a role in

regulating the phosphrylation of CREB1 in cancer. American Association for Cancer

Research (AACR) Annual Proceeding, Chicago, IL. (April 2012).

61. Peng B, Liu S, Qian W, Chan EKL, Tan EM, Zhang J. Immune response to a fetal

oncoprotein p90/CIP2A in lung cancer. American Association for Cancer Research

(AACR) Annual Proceeding, Washington DC. (April 2010).

62. Samala R, Zhukov T, Zhang J, Tockman M, Qian W., "Combinational Feature

Optimization for Classification of Lung Tissue Images", Proceedings of SPIE Symposium

on Medical Imaging, in San Diego, California USA, February 13-18, 2010.

63. Kanaka K, Samala R, Zhang J, Qian W., " Reliability Study of Reconstruction methods in

Tomosynthesis Imaging of various Geometrical Objects", Proceedings of SPIE Symposium


64. Pai A, Samala R, Zhang J, Qian W., " Similarity based False-Positive reduction for Breast

Cancer using Radiographic and Pathologic Imaging Features" ", Proceedings of SPIE

Symposium on Medical Imaging, in San Diego, California USA, February 13-18, 2010.

65. Samala, R. K., Potunuru V. S., Zhang, J., Cabrera, S. D., Qian, W. Comparative Study of

Feature Measures for Histopathological Images of the Lung. Imaging and Applied Optics

Congress, Tucson, Arizona, 2010.

66. Pablo Rivas-Perea, Gerardo Rosiles, and Wei Qian, "Fuzzy Predicates from Linguistic

Variables for Subjective Quantitative Colocalization Analysis", Proc. 10th U.S. National

Congress for Computational Mechanics, 7/2009

67. Pablo Rivas-Perea, Gerardo Rosiles, and Wei Qian, "Self Organizing Maps for Class

Discovery in the Quantitative Colocalization Analysis Feature Space", Proc. 2009 IEEE

International Joint Conference on Neural Networks, 6/2009

68. P. Rivas Perea, J.G. Rosiles, W. Qian, "Image Restoration for Quantitative Colocalization:

Performance Analysis and Response of Colocalization Coe cients", Proc. 3rd Annual Texas

Tech University, Health Sciences Center (TTUHSC) Paul L. Foster School of Medicine

Research Colloquium, 5/2009

69. P. Rivas Perea, J.G. Rosiles, W. Qian, "Automatic Quantitative Colocalization Analysis:

An Image Restoration and Machine Learning Approach", Proc. 2009 UTEP SACNAS

Research Expo, 4/2009

70. Samala, R., Moreno, W., Danshong,S., You, Y., Qian, W., "Knowledge based Optimum

Feature Selection for Lung Nodule Diagnosis on Thin Section Thoracic CT," Proceedings

of the SPIE, Volume 7260, pp. 726036-726036-8, 2009.

Wei Qian, Ph.D.

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71. Samala, R., Leung, M. Y., Cabrera, S., Zhang, J., Moreno, W., Qian, W. Volume of Interest

(VOI)-Based Retrieval using Psychophysical Similarity and Graph Cut, IEEE Computer

Society Workshop on Mathematical Methods in Biomedical Image Analysis, 2012.

72. Dansheng Song, Tatyana Zhukov, Olga Markov, Wei Qian, Melvyn Tockman,

PROGNOSIS OF STAGE I LUNG CANCER PATIENTS THROUGH QUANTITATIVE

ANALYSIS OF CENTROSOMAL FEATURES, IEEE International Symposium on

Biomedical Imaging: From Nano to Macro 2 – 5 May, 2012 • Barcelona, Spain

73. Akshay Pai, Ravi K. Samala, Venkata S. Potunuru,Sergio D. Cabrera, Wei Qian

POTENTIAL DIAGNOSTIC APPLICATION OF UWB MICROWAVE IMAGING

Proceedings of SPIE Symposium on Medical Imaging, in San Diego, California USA,

February 13-18, 2011.

74. Samala R, Zhukov T, Zhang J, Tockman M, Qian W., "Combinational Feature

Optimization for Classification of Lung Tissue Images", Proceedings of SPIE Symposium


75. Kanaka K, Samala R, Zhang J, Qian W., " Reliability Study of Reconstruction methods in

Tomosynthesis Imaging of various Geometrical Objects", Proceedings of SPIE Symposium


76. Pai A, Samala R, Zhang J, Qian W., " Similarity based False-Positive reduction for Breast

Cancer using Radiographic and Pathologic Imaging Features" ", Proceedings of SPIE

Symposium on Medical Imaging, in San Diego, California USA, February 13-18, 2010.

77. Samala, R. K., Potunuru V. S., Zhang, J., Cabrera, S. D., Qian, W. Comparative Study of

Feature Measures for Histopathological Images of the Lung. Imaging and Applied Optics

Congress, Tucson, Arizona, 2010.

78. Pablo Rivas-Perea, Gerardo Rosiles, and Wei Qian, "Fuzzy Predicates from Linguistic

Variables for Subjective Quantitative Colocalization Analysis", Proc. 10th U.S. National

Congress for Computational Mechanics, 7/2009

79. Pablo Rivas-Perea, Gerardo Rosiles, and Wei Qian, "Self Organizing Maps for Class

Discovery in the Quantitative Colocalization Analysis Feature Space", Proc. 2009 IEEE

International Joint Conference on Neural Networks, 6/2009

80. P. Rivas Perea, J.G. Rosiles, W. Qian, "Image Restoration for Quantitative Colocalization:

Performance Analysis and Response of Colocalization Coe cients", Proc. 3rd Annual Texas

Tech University, Health Sciences Center (TTUHSC) Paul L. Foster School of Medicine

Research Colloquium, 5/2009

81. P. Rivas Perea, J.G. Rosiles, W. Qian, "Automatic Quantitative Colocalization Analysis:

An Image Restoration and Machine Learning Approach", Proc. 2009 UTEP SACNAS

Research Expo, 4/2009

82. Samala, R., Moreno, W., Danshong,S., You, Y., Qian, W., "Knowledge based Optimum

Feature Selection for Lung Nodule Diagnosis on Thin Section Thoracic CT," Proceedings

of the SPIE, Volume 7260, pp. 726036-726036-8, 2009.

83. Zhukov, TA., Pottackal, S., Monteiro, A., Qian, W., Song, D., Cantor AB., Sellers, TA,

Tockman, M. Novel Biomarkers for Lung Cancer: Is there any crosstalk between DNA

damage response and estrogen receptors pathways? Proc. of 4th Annual International Conf.

Frontiers in Cancer Prevention Research, Baltimore, Maryland, Oct. 30th, 2005

84. Hongshun Su, Qian, W., Sun XJ and Sankar R. A NEW KNOWLEDGE-BASED LUNG

NODULE DETECTION SYSTEM" Proceeding of ICASSP 2004 in Montreal, Canada

85. Sun, X., Qian, W., and Song, D. Three-class classification in computer-aided diagnosis of

breast cancer by support vector machine. Medical Imaging 2004, International SPIE Conf.,

San Diego, CA, USA, 14-19 February, 2004

Wei Qian, Ph.D.

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86. Sun, X., Qian, W., and Song, D. Ipsilateral-Mammogram Computer-Aided Detection of

Breast Cancer. Computerized Medical Imaging and Graphics, 28:151-158, 2004

87. X. J. Sun, Qian, W. Computer-aided detection of lung nodule on helical CT. 8th World

Multiconference on Systemics, Cybernetics and Informatics (SCI 2004), Orlando, USA,

2004.

88. Qian, W., Kun, LK., Yu, J. and Yudong, Y. Feature Extraction of Cancer Cells Using

Wavelet Transform. 7th World Multi- Conf. on Systemics, Cybernetics and Informatics

(SCI 2003), Orlando, FL, July 27-30, 2003.

89. Qian, W., Zhang Y, Sun XJ, Song DS and Sankar R. A New Computer-aided

Diagnosis System for Prostate Cancer Detection on TRUS imaging. Procs of 9th

IASTED International Conf. on Signal and Image Processing, August 13-15, 2003,

Honolulu, Hawaii, USA

90. Qian, W., Li K, Sun XJ, Song DS and Sharma A. Computer-aided Pathological Diagnosis

for Lung Cancer Cell Detection. Procs of 9th IASTED International Conf. on Signal and

Image Processing, August 13-15, 2003, Honolulu, Hawaii, USA

91. Shen, Y., Sankar, R., Qian, W., Sun, X., and Song, D. Fuzzy Image Segmentation For

Lung Nodule Detection. Proc. of IEEE, International Conf. on Acoustics, Speech, and

Signal Processing, 6-10 April 2003 in Hong Kong.

92. Hongshun Su, Qian, W., Sun XJ and Sankar R, A new knowledge-based nodule detection

system in lung CT: Preliminary study. Proc. of 9th IASTED International Conf. on Signal

and Image Processing, August 13-15, 2003, Honolulu, Hawaii, USA

93. Kallergi, M., Qian, W., Jerry A., Thomas, J., Eberhard W. ,Bernhard E, Claus EH and

Clark RA. CAD methodology transfer from 2D to 3D digital mammography for

calcification enhancement and segmentation: A feasibility study. International Workshop

on Digital Mammography, June, 2002, Germany

94. Sun, XJ., and Qian, W. System Oriented Optimization of CAD for Mass Detection in

Digital Mammography. SPIE international Symposium on Medical Imaging, 23-28

February 2002, San Diego, California USA

95. Song, XS., Qian, W., and Ravi S. Standardization for image characteristics in

telemammography. Proc. of IEEE ICASSP'2002, Orlando Florida, May 13-17, 2002

96. Qian, W., Song, DS., Sun, XJ. Multistage statistical order with neural network for false

positive reduction in full field digit mammography on Nonlinear Signal and Image

Processing. June 3-6, 2001 Baltimore, USA

97. Sun, XJ., Qian, W., Song, DS., and Clark, RA. Ipsilateral Multi-View CAD System for

Mass Detection in Digital Mammography. IEEE Computer Society Conf. on Computer

Vision and Pattern Recognition, 9-14. December 2001 Kauai, Hawaii USA

98. Qian, W., Sun, XJ., Liu. H., and Clark, RA. Wavelet-based image processing for digital

mammography. Invited paper and Invited symposium speaker: Wavelet Application in

Signal and Image Processing VIII, SPIE's International Symposium on Optical Science and

Technology, July 30th -August 4th 2000, San Diego, USA

99. Qian, W., Sheybani, Eshan, Sankar, R., Song, DS., Sun, XJ., Zhang, L., Liu, H. and Clark,

RA. High Speed Network for Telemammography. International Workshop in Digital

Mammography, June 11-14, 2000, in Toronto, Canada

100. Qian, W., Liu, H., Li, L., Clark, RA. A Novel CAD Method for Mass Detection in Digital

Mammography. IEEE International Conf. on Multimedia and Expo. July 30 – August 2,

2000, New York City.

101. Liu, H., Qian, W. and Fajardo, L. Optical Processing and it’s Applications in Medical

Imaging. Biomedical Imaging Symposium:(BECON) June 25-26, 1999, Washington D.C.,

USA

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102. Li, LH., Qian, W., Clarke, LP., Clark, RA. and Thomas, J. Improving mass detection by

adaptive and multi-scale processing in digitized mammograms. The Proc. of SPIE Medical

Imaging 1999, 3661:490-498, Feb. 1999.

103. Qian, W., Li, L, Clarke, LP., Mao, F. and Clark, RA. Adaptive CAD Modules for Mass

Detection in Digital Mammography. The Proc. of 20th Annual Conf. of the IEEE

Engineering in Medicine and Biology Society, Hong Kong, Oct. 28 - Nov. 1, 1998

104. Mao, F., Zhang, Y., Song, DS., Qian, W., Clarke, LP. An Improve Method of Region

Groping for Microcalcification Detection in Digital Mammograms. The Proc. of 20th

Annual Conf. of the IEEE Engineering in Medicine and Biology Society, Hong Kong ,

Oct.28-Nov.1, 1998

105. Qian, W., Li, LH., and Clarke, LP. A computer assisted diagnostic (CAD) system for

mass detection. 4th International Workshop on Digital Mammography, Nijmegen,

Netherlands, June, 1998.

106. Li, LH., Qian, W., Mao, F., Clarke, LP. Wavelet transform for directional feature

extraction in medical imaging. Proc. of Int. Conf. on Image Processing, Feb. 1997.

107. Mao, F., Qian, W., and Clarke, LP. Fractional dimension filtering for multiscale lung

nodule detection. Proc. SPIE Medical Imaging 1997, Newport Beach, CA, Feb. 27th, 1997

108. Li, LH., Qian, W., Clarke, LP. Adaptive segmentation of X-ray CT images using vector

quantization. Proc. of SPIE Medical Imaging, Feb. 1997.

109. Qian, W., Li, L., Clarke, LP. Digital mammography: Wavelet based CAD method for

mass detection. Proc. of SPIE Medical Imaging, Feb. 1997.

110. Qian, W., Clarke, LP., Song, DS., and Clark, RA. Digital Mammography: Hybrid 8-

Channel Wavelet Transform for Microcalcification Segmentation, 10th International

Symposium and Exhibition, Paris, June 26-29, 1996.

111. Li, LH., Qian, W., and Clarke, LP. Digital mammography: wavelet transform for mass

detection. Computer Assisted Radiology, 10th International Symposium and Exhibition,

Paris, June 26-29, 1996.

112. Li, LH., Qian, W., and Clarke, LP. X-Ray medical image processing using directional

wavelet transform. Proc. of IEEE Inter. Conf. on Acoustics, Speech and Signal Processing,

1996.

113. Mao, F., Qian, W. and Clarke, L.P. 1.5 Dimensional Circular Pattern Filter for Multiscale

Lung Nodule Detection. submitted to 18th Annual International Conf. of the IEEE

Engineering in Medicine and Biology Society, in Amsterdam, 31 Oct. - 3 Nov. 1996.

114. Song, DS., Qian, W., and Clarke, LP. Digital Mammography: Hybrid M-Channel

Wavelet Transform for Microcalcification Segmentation. Invited Paper, 18th Annual

International Conf. of the IEEE Engineering in Medicine and Biology Society, in

Amsterdam, 31 Oct. - 3 Nov. 1996

115. Qian, W., Li, LH., Zheng, BY., and Clarke, LP., Digital Mammography: Wavelet-based

Mixed Feature ANN with entropy decision for Automatic Detection of Microcalcifications,

Invited Talk. World Congress on Neural Networks, Washington, D.C., July 1995.

116. Qian, W., and Clarke, LP., Neural Networks with Fuzzy-logic Adaptivity for Nuclear

Medicine Image Restorations. Invited Talk. World Congress on Neural Networks,

Washington, D.C., July 1995.

117. Qian, W., Li, LH., Li, HD., and Clarke, LP., DIGITAL MAMMOGRAPHY: The

Compression Scheme based on Image Enhancement and Segmentation using Wavelet

Transforms, Proc. of the 37th Annual Meeting of the AAPM (Abs), Boston, July 23-28,

1995.

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118. Clarke, LP, Qian, W., Song, DS., Li, HD., and Kallergi, M., Four-channel Filter Banks

and Wavelets for Medical Image Processing, Proc. of the 37th Annual Meeting of the

AAPM (Abs), Boston, MA, July 23-28, 1995

119. Qian, W., and Clarke, LP., Adaptive Multiple Nonlinear Filter and Wavelets for the

Enhancement of Medical Image, Proc. of the 37th Annual Meeting of the AAPM (Abs),

Boston, MA, July 23-28, 1995.

120. Qian, W., and Clarke, LP., Hybrid M-channel Wavelet Transform Method and

Application to Medical Image Processing, Invited Talk. 37th Annual Meeting of the

AAPM (Abs), Boston, July 23-28, 1995.

121. Qian, W., Clarke, LP., Kallergi, M., Zheng, BY., Venugopal, Priya, Clark, RA., and

Silbiger, M., Application of Wavelet Transform for Image Enhancement in Medical

Imaging, Proc. of ANNIE, Nov. 1994.

122. Qian, W., Clarke, LP., Li, HD. and Kallergi, M. Hybrid Neural Network for gamma

camera bremsstrahlung image restoration. Proc. SNM 41st Annual Meeting (Abs/

Presentation), Orlando, Florida, June 5-8, 1994.

123. Zheng, B.Y., Qian, W. and Clarke LP. Multistage Neural Network for Pattern

Recognition in Mammogram Screening. Proc. of IEEE World Congress on Computational

Intelligence, June 1994 Orlando, FL.

124. Zheng, B.Y., Qian, W. and Clarke LP. Artificial Neural Network for Pattern Recognition

in Mammography Invited Talk, World Congress on Neural Networks, San Diego, CA

June, 1994.

125. Qian, W., Clarke LP, Kallergi M and Abernathy M. Neural Filter and Hybrid Neural

Network for gamma camera bremsstrahlung image restoration. Invited Talk, World

Congress on Neural Networks, San Diego, CA June, 1994.

126. Qian, W., Clarke LP, Kallergi M, Li HD, Clark RA, and Silbiger ML. Adaptive order

statistic filtering and wavelet transform for feature enhancement in mammography. Proc. of

the 15th Annual International Conf. of the IEEE Engineering in Medicine and Biology

Society, San Diego, CA, October 28-31, 1993.

127. Li HD, Kallergi M, Clarke LP, Qian, W., and Clark RA. Markov random field model for

mammogram segmentation. Proc. of the 15th Annual International Conf. of the IEEE

Engineering in Medicine and Biology Society, San Diego, CA, October 28-31, 1993.

128. Li, HD., Qian, W., Clarke, LP., Kallergi, M., and Clark, RA. Mammographic image

feature extraction and enhancement by wavelet transform. Proc. of the 35th Annual

Meeting of the AAPM (Abs), Washington DC, August 8-12, 1993.

129. Qian, W., Clarke, LP., Zheng, B., and Kallergi, M., Neural filter and neural network

hybrid filter for gamma camera bremsstrahlung image restoration. Proc. SNM 41st Annual

Meeting (Abs), Orlando, Florida, June 5-8, 1994.

130. Li, HD., Qian, W., Clarke, LP., and Kallergi, M., Neural Network for Maximum Entropy

Restoration of Nuclear Medicine Images. Proc. of the International Conf. on Acoustics,

Speech, and Signal Processing, Minneapolis, Minnesota; April 27-30, 1993.

131. Qian, W., Clarke, LP., Kallergi, M., Li, HD., Velthuizen RP, Clark RA, and Silbiger ML.

Tree-structured nonlinear filter and wavelet transform for microcalcification segmentation

in mammography. Proc. of the IS&T/SPIE Annual Symposium on Electronic Imaging,

Science & Technology, San Jose, California; January 31 - February 5, 1993.

132. Qian, W., Clarke, LP., Kallergi, M., and Clark, RA. Three-level median filters for digital

mammography. Proc. of the 14th Annual International Conf. of the IEEE Engineering in

Medicine and Biology Society, Paris, France; October 29 - November 1, 1992.

133. Kallergi, M, Qian, W., Clarke, LP., and Li, HD. Neural network restoration of gamma

camera bremsstrahlung images. Proc. of the 14th Annual International Conf. of the IEEE

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Engineering in Medicine and Biology Society, Paris, France; October 29 - November 1,

1992.

134. Clarke, L.P., Qian, W., Li, D.,Clark, R., Saff, E. and Lucier, B. Mammographic Image

Analysis with tree structured order statistic and wavelet filters. Proc. of IPTA '93 San

Remo, Italy.

135. Qian, W., Clarke, P.L., Kallergi, M. Wavelet Transformation for Image Segmentation and

Analysis. American Association of Physicists in Medicine Annual Meeting, August 1993,

Washington D. C., Invited Presentation

136. Clarke, L.P., Kallergi, M., Qian, W., and Brad, Lucier. Digital Mammography; Review of

Advanced Computer Assisted Diagnostic (CAD) Methods. Invited Presentation American

Association of Physicists in Medicine Annual Meeting, August 1993. Washington D. C.,

Presidents Symposium.

137. Clarke, L.P., Qian, W., Kallergi, M., and Clark R.A. Computer assisted diagnosis (CAD)

in mammography. Proc. of the Symposium for Computer Assisted Radiology (SCAR), pp.

116-121, Baltimore, Maryland; June 14-17 1992.

138. Clarke, L.P., Qian, W., Kallergi, M., and et al. Nonlinear filtering techniques for

improved classification of mammographic parenchymal patterns in cancer screening. Proc.

of the 34th Annual Meeting of AAPM,Calgary, Alberta, Canada; August 23-27, 1992.

139. Qian, W., Clarke, L.P., Kallergi, M. Applications of nonlinear filtering in Mammography.

Proc. of SPIE - The International Society for Optical Engineering Conf., Feb. 1992 in CA,

U.S.A

140. Kallergi, M., Qian, W., Clarke, L.P. and Gondeck A.R. Bremsstrahlung Imaging with the

Gamma Camera. Proc. of SPIE - The International Society for Optical Engineering Conf.,

Feb. 1992 in CA, U.S.A

141. Bauer, P. and Qian, W. A 3-D Nonlinear Recursive Digital Filter For Video Image

Processing. Proc. of 1991 IEEE Pacific Rim Conf. on Communications, Computers and

Signal Processing, Canada 2. 494-497.

142. Qian, W. and Shen J. The ADANONLINE Neural Nets. Proc. of EURASIP Workshop on

Neural Networks 1990.

143. Qian, W. and Shen J. Image Processing on the bases of Hopfield Neural Network Model.

Proc. of ISMM 1990 in U.S.A.

144. Qian, W. and Lei M.S. The Segmentation of 3-D Image and Space Markov Cubic Mesh

Models. Proceeding of ICASSP-89, IEEE 1989 in Scotland.

145. Qian, W. An Efficient Method in the Design of 2-D IIR Filters for Communication

Systems. 22th Asilomar Conf. on Signals Systems and Computers 1988 in California,

U.S.A.

146. Qian, W. 3-D Recursive Digital Filtering with Linear-phase in communications.

Proceeding of International Conf. on Communication System, IEEE 1988 in Singapore

147. Qian, W. Symmetry and 2-D Recursive Digital Filtering. Proc. of ICCAS'88 IEEE 1988

in Finland.

Invited Seminars

1. Invited Speaker: International Conference titled Computational Bioscience (CompBio 2011) at Cambridge, United Kingdom on July 11 – 13, 2011. International Association of Science and

Technology for Development (IASTED). 2. Invited Speaker: Track 3-5: PET, Cancer Digital Imaging and Image-Guided Technologies.

BIT’s 4th World Cancer Congress (WCC) 2011.

Wei Qian, Ph.D.

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3. Invited Speaker: 2005 IEEE International Conference on Acoustics, Speech, and Signal

Processing, Pennsylvania Convention Center/Marriott Hotel, Philadelphia, Pennsylvania,

March 2005.

4. Invited Speaker: NCI CIP (Cancer Imaging Program)’s first Promising Cancer Imaging

Investigators Workshop, October 2004.

5. Invited Speaker: NIH/NCI & NSF CAD/Informatics Workshop: Resources and Barriers for

Cancer Investigations, September 2003.

6. Invited symposium speaker: SPIE's International Symposium on Optical Science,

Engineering, and Instrumentation, July 2000, San Diego, California

7. Invited symposium speaker: AAPM Annual Meeting, Boston, Massachusetts, August, 1995.

8. Invited Speaker, AAPM Annual meeting: Washington D. C. August, 1993

Research Support

Current

Research Grants:

Account #: Wei Qian, Co-PI

Dates: August, 2014 - July, 2017

Source: NATIONAL SCIENCE FOUNDATION (FED) -SPN01214

Title: MRI: Development of a scan-less temporal focusing two-photon fluorescence microscope

for high speed three-dimensional imaging

Total Costs: $650,127.00

Brief Description: This project will develop a high speed (50 volumes/s) temporal focusing

two-photon fluorescence microscope for three dimensional (3D) imaging without laser beam

scanning

Account #: Wei Qian, Supervisor of PI


Source: SC3 GM098196-01 grant

Title: Super Resolution Pump-Probe Microscopy for Biomedical Imaging

Total Costs: $445,000

Brief Description: This project will develop a Pump-Probe Microscopy two-photon

fluorescence microscope for three dimensional (3D) imaging with laser beam scanning

Account #: Wei Qian, Co-Investigator


Source: SC1 GM098196-01 grant

Title: Autoantibodies to tumor-associated antigens as diagnostic biomarkers in

liver cancer Total Costs: $1,508,175.00

Brief Description: This project is to test liver cancer sera for the presence of autoantibodies to

a panel of 13 selected recombinant TAAs using enzyme-linked immunosorbent assay (ELISA).


Dates: Jan. 2013 - Dec. 2013

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Source: Interdisciplinary Research (IDR) Enhancement Program, BBRC UTEP

Project Title: Development and analysis of a new Preclinical model of Her-2 positive human breast cancer. Role in the Study: Co-Principal Investigator

Total Costs: $20,000.00 Grant total, part subcontracted to Dr. GIULIO FRANCIA,

Brief Description: To develop new preclinical models of human breast cancer, and to use such models to gather preliminary data for the submission on an RO1 grant to the National Institutes of Health (NIH).

Account #: Wei Qian, PI

Dates: Sept. 2010 - Aug. 2012

Source: Norman Hackerman Advanced Research Program

Project Title: Image Reconstruction Problems in Tomosynthesis

Role in the Study: Principal Investigator

Total Costs: $160,000.00 Grant total, part subcontracted to UTA and TTU

Brief Description: This project is dedicated to the advancement of image reconstruction

techniques in digital tomosynthesis (TS), which is an emerging medical imaging modality.



Source: Department of Education

Project Title: Low Resource Setting program for the PhD in biomedical engineering

Role in the Study: Co-PI

Total Costs: $1,000,000.00

Brief Description: Development of a biomedical engineering and biomedical imaging

informatics program in Low Resource Setting for the PhD in biomedical engineering.


Dates: Sept. 2008 – Feb. 2012

Source: Stars Award Funding: Texas State University System

Title: Medical Imaging and Bioinformatics

Direct Costs: $500,000.00

Brief Description: This project is for the first step in creating a medical imaging and bioinformatics

program as of Sept 2008 within the College of Engineering. The focus of our research is to develop,

optimize and validate advanced computational data integration methods to convert medical image data

(both laboratory, pre clinical and clinical data) to knowledge or some form of medical intervention, to be

referred to as clinical decision tools.

Completed

External Grants:


Dates: Feb., 2006 – Aug. , 2008

Source: DoD Peer Review Award (An equivalent NIH RO1 grant)

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Title: Integration of Anatomic and Pathogenetic Bases for Early Lung Cancer

Diagnosis

% Effort: 36%


Brief Description: This project proposed a new universal computer-aided diagnosis (UCAD)

system combining anatomical knowledge based CAD (AK-CAD) and computer-aided pathological

diagnosis (CAPD), which provides combined and correlated radiological and cytopathological

features in diagnosis of early lung cancers.


Dates: July 2006 - July 2009

Source: Florida Breast Cancer Coalition Research Foundation

Title: Pre-doctoral teaching Award: Cognitive Approaches to Perception and

Interaction for CAD-Assisted Mammography Interpretation

% Effort: 5% donated


Brief Description: This project proposed is to focus on the new e-learning model of

mammogram reading grounded in the previous studies and fieldwork of human cognition and

human-computer interaction, which is collecting data of the cognitive process of mammogram

reading and designing the perception and interaction experience in computer-mediated learning

environments. This new learning system is to improve the curriculum of mammogram reading and

impact the early detection of breast cancer.

Account #: Qian, Wei, Co-PI


Source: NSF/ IGERT SKINS graduate program

Project Title: A THz skin probe

% Effort: 5% donated

Role in the Study: Co-Principal Investigator


Brief Description: Development of a compact, non-invasive skin probe tool utilizing

narrowband THz technology. This novel tool aims at the in vivo and in vitro identification of skin

abnormalities, hydration, and subdermal probing.


Dates: July, 2003 - July, 2006

Source: NIH (R21/R33 is an equivalent NIH RO1 grant)

Title: Multi-View Optimized CAD System for Breast Cancer Early Detection

(R21/R33)

% Effort: 63%

Total Costs: $1,486,144.00

Brief Description: This project is to develop a computer assisted diagnosis (CAD) system for

the early detection and diagnosis of breast cancer in multi-view mammograms.


Dates: May 2004 - April, 2006

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Source: The Susan G. Komen Breast Cancer Foundation

% Effort:

Title: Pre-doctoral teaching Award: The Cognitively-Based Hypermedia System for CAD-

Assisted Mammography

Total Direct Costs: $30,000.00

Total Amount of Award:

Brief Description: This project proposed a Cognitively-Based Hypermedia System for CAD-

Assisted Mammography reading to train Radiologists a new way to read mammograms for

improving their performance.


Dates: January 2000 - January, 2003

Source: American Cancer Society (ACS)

% Effort:

Title: Digital Mammography: Optimized CAD System for Mass Detection


Total Amount of Award: Brief Description: This proposal is a CAD method for mass detection, using advanced

algorithm design for all CAD modules. The goal is to maintain a high sensitivity of detection

(greater than 95%) with a low false positive rate of less than an average of 0.5, or ideally close to

0.1 FP/image, i.e. to achieve a more realistic performance for large image database, including

prospective clinical trials.


Dates: May 2001 - May, 2004

Source: DoD Undergraduate Student Training Award

% Effort:

Title: Development, Optimization and Evaluation of CAD System for Breast Cancer


Total Amount of Award: Brief Description: This is a 12-week training program for three years designed for

undergraduates majoring in electrical engineering, medicine or radiology who are interested in

scientific research.


Dates: July 1999 - June, 2003

Source: DoD

% Effort: Title: The CAD Method for Microcalcification Detection: Independent of Sensor and Resolution



Brief Description: This project is a pilot study of development and clinical evaluation of

computer assisted diagnostic (CAD) methods for microcalcification detection in digital

mammography. The CAD methods are independent of sensor and resolution.


Dates: Jun. 2000 - May, 2001

Source: NIH SBIR, Phase II

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% Effort: Title: Optical Processor Based CAD for Mammography


Total Amount of Award: Brief Description: This project is a pilot study of the potential of optical processing for CAD.

There is no overlap as the methods are also primarily applied to microcalcification cluster and

mass detection.


Dates: ` Jun. 1998 - May, 1999

Source: NIH SBIR, Phase I

% Effort: Title: Optical Processor Based CAD for Mammography


Total Amount of Award: Brief Description: This project is a pilot study of the potential of optical processing for CAD.


mass detection.

Account #: Robert A. Clark, PI, Wei Qian, Co-PI

Dates: Oct. 2001 - Sep. 2002

Source: MDA

% Effort: Title: Digital Mammography: Computed Radiographic Diagnosis and Multisite ROC Evaluation

Total Direct Costs: $1,056,879.00

Total Amount of Award: Brief Description: Development and clinical evaluation of computer assisted diagnostic

(CAD) methods for digital mammography to include multisite ROC evaluation by USUHS, Navy

(Bethesda, MD), and USF/Moffitt Cancer Center using the same sensor.


Dates: Oct. 1999 - Sep. 2001

Source: MDA

% Effort: Title: Digital Mammography: CAD for Computed Radiographic Diagnosis and Multisite ROC

Evaluation


Total Amount of Award: Brief Description: Development and clinical evaluation of computer assisted diagnostic

(CAD) methods for digital mammography to include multisite ROC evaluation by USUHS, Navy

(Bethesda, MD), and USF/Moffitt Cancer Center using the same sensor.


Dates: Oct. 1997 - Sep. 1999

Source: MDA

% Effort:

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Title: Digital Mammography: Computed Radiographic Diagnosis and Multisite ROC Evaluation


Total Amount of Award: Brief Description: Development and clinical evaluation of computer assisted diagnostic (CAD)

methods for digital mammography to include multisite ROC evaluation by USUHS, Navy

(Bethesda, MD), and USF/Moffitt Cancer Center using the same sensor. The CAD methods for

mass detection for this Navy project will be completed by Summer 1999 and will go forward for

evaluation using digital mammography.


Dates: Jul. 1999 - Jun. 2000

Source: NCI/NIH

% Effort: Title: Normal Image Recognition Technique for Digital mammograms


Total Amount of Award: Brief Description: The two aims of this project are: to full evaluate a normal image

recognition technique at scales relevant to calcifications, and to develop a normal image

recognition technique at scales relevant to masses.

Account #: Maria Kallergi, PI, Wei Qian, Co-PI

Dates: Jul. 1996 - Jun. 2001

Source: NCI/NIH

% Effort: Project Title: CAD for mammographic interpretation of calcifications


Total Amount of Award: Brief Description: The goal of this project is to develop and evaluate a novel computer

algorithm for the detection and classification of calcifications associated with breast cancer assisting

radiologists in diagnosis. There is no budget overlap.

Account #: Laurence P. Clarke, PI, Wei Qian, Co-PI

Dates: Aug. 1996 - Aug. 1998

Source: Picker Int’l.

% Effort: Title: MRI Image Enhancement at Different Field Strengths


Total Amount of Award: Brief Description: Research aims are to optimize existing wavelet based algorithms for MRI

image enhancement and provide software to Picker.


Dates: Oct. 1997 - Sep. 1999

Source: MDA

% Effort:

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Title: Digital Mammography: Computed Radiographic Diagnosis and Multisite ROC Evaluation


Total Amount of Award: Brief Description: Development and clinical evaluation of computer assisted diagnostic (CAD)

methods for digital mammography to include multisite ROC evaluation by USUHS, Navy

(Bethesda, MD), and USF/Moffitt Cancer Center using the same sensor. The CAD methods for

mass detection for this Navy project will be completed by Summer 1999 and will go forward for

evaluation using digital mammography.


Dates: Jan. 1998 - Jun. 1999

Source: GTE commercial funding: Pilot project

% Effort:

Title: Digital mammography: Evaluation of visually lossless image compression using wavelets

at compression ratio’s of 150:1 or higher


Total Amount of Award: Brief Description: Evaluation of image compression methods for efficient image transfer.

Account #: Wei Qian, PI Dates: Jun. 1998 - May, 1999

Source: NIH SBIR, Phase I

% Effort:

Title: Optical Processor Based CAD for Mammography



Brief Description: This project is a pilot study of the potential of optical processing for CAD.


mass detection.


Dates: Jan. 1998 - Jun. 1999

Source: GTE commercial funding: Pilot project

% Effort: Title: Digital mammography: Evaluation of visually lossless image compression using wavelets

at compression ratio’s of 150:1 or higher


Total Amount of Award: Brief Description: Evaluation of image compression methods for efficient image transfer.


Dates: 05/01/98 – 04/30/99

Source: Susan G. Koman Breast Cancer Foundation

% Effort: 5 (donated)

Title: Digital mammography: Second opinion strategy using telemedicine

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Total Direct Costs: Total Amount of Award: $50,000 (per year)

Brief Description: Studying the feasibility of telemammography and use of CAD

enhancement methods based on wavelets to standardize remote diagnosis using breast cancer

screening as a clinical model.


Dates: 11/01/94 – 10/31/95

Source: ADAC Laboratories

% Effort: 5%

Title: SPECT at 511 keV: Use of neural network image restoration filter for

collimators with weight constraints

Total Direct Costs:

Total Amount of Award: $44,000 (per year)

Brief Description: Use SPECT camera for positron imaging and apply restoration filter to

improve image quality and quantitation.

Account #: K.Cullers, PI, W. Qian, Co-Investigator

Dates: 09/01/94 – 08/31/95

Source: NASA: Life and Microgravity Sciences and Application

% Effort: 5%

Title: Advanced signal processing methods applied to digital mammography and

other imaging modalities.

Total Direct Costs:


Brief Description: Investigation of wavelets and noise modeling methods to identify normal

mammograms


Dates: 01/01/93 – 12/31/95

Source: NIH Ioniz Rad Imag (DCT)

% Effort: 50%

Title: Quantitative imaging of beta emitters using the gamma camera

Total Direct Costs:


Brief Description: Imaging of beta emitters and development of software for image restoration

and dosimetry measurements

Internal Grants:

Account #: W. Qian, PI

Dates: 02/01/94 – 01/31/95

Source: ACS/Moffitt Cancer Center – Institutional Grant Program

Title: Digital enhancement of mammograms

% Effort: 5%

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Total Direct Costs:


Brief Description: Application and evaluation of algorithm for digital mammogram

enhancement

Teaching Experience

1. Teaching Courses in University of Texas at El Paso

EE 5390 (CRN 14001) " Telemedicine for Health Care Delivery in Low resource Settings" for

graduate students in every spring semester.

EE 3353 (CRN 15346) "Signal and System" for undergraduates, in every semester

EE 5205 (CRN 16691) "Research Methods I" for graduate students in every fall semester

EE 5353 Biomedical Signal and Image Processing for graduate students in every spring semester

EE 4395 (CRN 16645) “Imaging Informatics” for undergraduates.

EE 5390 (CRN 166644) “Biomedical Imaging” for graduate students.

EE 4386 3-D Image Reconstruction, Visualization and Processing.

EE 5255 Introduction to Biomedical Engineering.

EE 15164 Graduate projects.

2. Teaching Courses in Hillsborough Community College

Fall semester 2007/2008: Teaching of Biomedical Engineering System Technology I and

Biomedical Engineering System Technology II to undergraduate students

in Dept. of Electronics and Biomedical Engineering, Hillsborough

Community College.

Spring semester 2007/2008: Teaching of Biomedical Engineering System Technology III and

Biomedical Engineering System Technology IV to undergraduate

students in Dept. of Electronics and Biomedical Engineering,

Hillsborough Community College.

3. Teaching Courses in University of South Florida

Fall semester 2003/2004: Teaching of Medical Imaging Course to Biomedical engineering

graduates and undergraduates in the department of Radiology.

Fall Semester 2001/2002: Teaching of Digital Signal Processing I Course to engineering

graduates and undergraduates in the department of Electrical

Engineering.

Fall Semester 2000/2001: Teaching of Digital Signal Processing I Course to engineering


Engineering.

Fall semester 2000/2001: Teaching of Medical Imaging Course to engineering graduates and

undergraduates in the department of Electrical Engineering.

Fall semester 1999/2000: Teaching of Digital Signal Processing I Course to engineering


Engineering.

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Spring semester 1999/2000: Shared teaching of the Digital Signal Processing II Course to

engineering graduates and undergraduates in the department of

Electrical Engineering.

Fall semester 1994/1995: Shared teaching of the Medical Imaging Course offered by the

department of Computer science and Engineering to engineering

graduates and undergraduates.

3. Other Courses, National Symposia, Teaching Awards and Other Recognition

The External Teaching Activities include the invited as conference/symposium special teacher

for a short course on six separate occasions since 1993 and invited as visiting speaker at Siemens

There are 75 Presentations in National and International conferences and symposia, listed in

“Scientific Abstracts/Poster Presentations/Plenary Presentations”

My Teaching Accomplishments in the past several years:

Training Awards


Dates: July, 2011 - July, 2014

Source: The Susan G. Komen Breast Cancer Foundation

% Effort: 20%

Title: The Training Program on Computerized Cancer Biomarker Analysis for

Multimodality Breast Imaging to Eliminate Disparities in Breast Cancer Outcomes


Brief Description: To design an multimodality computer aided diagnosis automatic system for

the detection of breast disease and anatomic structures of interest, the classification of lesions, the

quantification of disease and anatomic structures (including volumetric analysis, disease

progression, and temporal response to therapy), risk assessment, and physiologic evaluation and to

maximize the information extracted from breast medical images by augmenting oncologists’

subjective, qualitative interpretation of the displayed images with objective, quantitative

computations of the underlying numeric image data.



Source: Department of Education

Project Title: Low Resource Setting program for the PhD in biomedical engineering

% Effort: 15%

Role in the Study: Co-Principal Investigator

Total Costs: $1,000,000.00

Brief Description: Development of a biomedical engineering and biomedical imaging

informatics program in Low Resource Setting for the PhD in biomedical engineering.



Source: Norma Heckerman Advanced Research Program

Project Title: Image Reconstruction Problems in Tomosynthesis

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Role in the Study: Principal Investigator


Brief Description: This project is dedicated to the advancement of image reconstruction

techniques in digital tomosynthesis (TS), which is an emerging medical imaging modality.

Teaching Awards

1. I got five teaching awards: Two of the five are Pre-doctoral teaching Awards including

one for $30,000 from The Susan G. Komen Breast Cancer Foundation for the period of

May 2004-April, 2006 and one for $90,000 from Florida Breast Cancer Foundation for

the period of May 2006-April, 2009. Another one of the five is Undergraduate Student

Training Award for $148,000.00 from DoD for the period of May 2001-April, 2004.

Another one of the five is Graduate Student Fellowship award from NSF/ IGERT SKINS

graduate program for $60,000.00, plus tuition waiver and travel expenses for the period

of Sept. 2006 - Aug. 2008. And the final one of the five is DoD Postdoctoral Fellow

Training Award for $156,000.00 for the period of July, 2000- July, 2003.

2. I published two scholar papers on teaching in Journal of Academic Radiology in 2005

and 2006.

Ph.D. Students Dissertation Teaching Award:

Project Title: Pre-doctoral teaching Award: Cognitive Approaches to Perception and Interaction

for CAD-Assisted Mammography Interpretation

Principal Investigator: Wei Qian, Ph.D. Agency: Florida Breast Cancer Coalition Research Foundation

Type: Training Grant, July 2006 - July 2009

Amount: $90,000.00

This project proposed is to focus on the new e-learning model of mammogram reading grounded

in the previous studies and fieldwork of human cognition and human-computer interaction, which

is collecting data of the cognitive process of mammogram reading and designing the perception

and interaction experience in computer-mediated learning environments. This new learning

system is to improve the curriculum of mammogram reading and impact the early detection of

breast cancer.

Ph.D. Students Dissertation Teaching Award

Project Title: Pre-doctoral teaching Award: The Cognitively-Based Hypermedia System for

CAD-Assisted Mammography

Principal Investigator: Wei Qian, Ph.D. Agency: The Susan G. Komen Breast Cancer Foundation

Type: Training Grant, May 2004 - April, 2006

Amount: $30,000.00

This project proposed a Cognitively-Based Hypermedia System for CAD-Assisted

Mammography reading to train Radiologists a new way to read mammograms for improving their

performance.

Graduate Student Fellowship Award

Project Title: A THz skin probe

Co-Principal Investigator: Wei Qian, Ph.D. Agency: NSF/ IGERT SKINS graduate program

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Type: Graduate Student Fellowship, Sept. 2006 - Aug. 2008

Amount: $60,000.00, plus tuition waiver and travel expenses

Development of a compact, non-invasive skin probe tool utilizing narrowband THz technology.

This novel tool aims at the in vivo and in vitro identification of skin abnormalities, hydration, and

subdermal probing.

Undergraduate Student Training Award

Project Title: Development, Optimization and Evaluation of CAD System for Breast Cancer

Principal Investigator: Wei Qian, Ph.D. Agency: DoD Undergraduate Student Training Award

Type: Student Training Award, May 2001 - May, 2004

Amount: $148,000.00

This is a 12-week training program for three years designed for undergraduates majoring in

electrical engineering, medicine or radiology who are interested in scientific research.

Postdoctoral Fellow Training Award

Project Title: Optimization and Evaluation of Neural Network based CAD System for Breast

Cancer Early Detection

Supervisor/Mentor: Wei Qian, Ph.D.

Agency: DoD Postdoctoral Fellow Training Award

Type: Research Training Grant, July, 2000- July, 2003

Amount: $156,000.00

This project is to design, optimize and evaluate a neural network based computer assisted

diagnosis (CAD) system for the early detection and diagnosis of breast cancer in mammogram.

3. Teaching and Training Experience

Undergraduate training:

May 2001 – May 2004: As PI of undergraduate student training award trained 18 undergraduate

students during the three years for breast cancer related research.

Graduate training:

I have been working as major professor or co-major professor or committee member of 5

postdoctoral fellows, 8 Ph.D. students and 21 Master’s students from the department of Electrical

Engineering, Computer Science and Engineering, and Physics. I have five student training grants

awarded for my training work; two of the five awards are pre-doctoral graduate student training

awards.

Service

University of Texas, El Paso, Service

1. Actively serving as Faculty 3 year review for Electrical and Computer Engineering

Department in Engineering College Faculty Council Board during 2001-2014.

2. Actively serving as Faculty Council Representative for Electrical and Computer Engineering

Department in Engineering College Faculty Council Board during 2009-2011.

3. Service as a key member for Graduate research Committee Board during 2009-2011.

4. Service as a key member for undergraduate course Committee Board during 2009-2011.

Wei Qian, Ph.D.

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University of South Florida Service

1. Service as a key member for by-law committee at College of Medicine during 2004 – 2007.

2. Service as Faculty Council Representative for Radiology Department in Medical College

Faculty Council Board during 2000 – 2003.

3. Actively serving as Faculty Council Representative for Interdisciplinary Oncology

Department in Medical College Faculty Council Board.

4. Actively serving on member of the Bioengineering Institute.

5. Help showcase for the potential of Internet-2 on the USF Internet-2 days. The topic if Tele-

radiology using internet-2. Computer demonstration at internet-2 day, University of South

Florida, March 1st, 1999.

Service at Stevenson Institute of Technology

2000 - 2006: Faculty Advisor for the training program (DoD funded and NSF funded)

Undergraduate and Graduate Students at Stevenson Institute of Technology, Hoboken, NJ

Service to My Profession

1. NCI Invited Reviewer as Special Emphasis Panel member for the review of grants submitted to NCI in

response to PAR-11-150 NCI "Quantitative Imaging Network (QIN)" Review, Special Emphasis Panel

2. NCI Invited Reviewer for National Institute of Biomedical Imaging and Bioengineering 2014-01 NIH

- NIBIB P41 Review Panel

3. Worked as a Volunteer for Grand Award judge Intel International Science and Engineering Fair.

4. Served on Scientific Review Panel for Biomedical Imaging Technology Study Section,

Surgical Sciences, Biomedical Imaging and Bioengineering Integrated Review Group

5. Served on Cell Biology Integrated Review Group, Center for Scientific Review (CSR),

National Institutes of Health

6. Served on Proposal Review on Biomedical Imaging Technology Study Section: Surgical

Sciences, Biomedical Imaging and Bioengineering Integrated Review Group, CENTER FOR

SCIENTIFIC REVIEW, NCI/NIH, BMIT,

7. Served on the site visit will be at the University of North Carolina at Chapel Hill between

Intercellular Interactions Study Section, NIH/NIBIB P41 Site visit.

8. Served on Special Emphasis Review Panel (NHLBI-HR) for NIH to contract Clinical Centers

(CC), working in conjunction with a Genomic and Informatics Center (GIC) and Radiological

Center (RC), to develop clinical approaches that will identify subpopulations and intermediate

biomarkers of progression in the highly heterogeneous chronic obstructive pulmonary disease

(COPD) patient population.

9. Served on grant Review Panel ZRG1 SBIB-S (50) R, Academic-Industry Partnership in

Cancer Imaging.

10. Served on P01 SET in vivo imaging in NCI/NIH for grant Review Panel from 2006 to 2007.

11. Served on US Army proposal review panels in Clinical Transnational Research sections.

12. Served on Novel Technologies for in vivo imaging in NCI/NIH for grant Review Panel from.

13. Served on Cancer Imaging Program in NCI/NIH for grant Review Panel.

14. Served on American Cancer Society Review Panels on research grants.

15. Served on Department of Defense Congressional Interest Research on Health related Topics

peer Review Panel.

16. Associate editor for Medical Physics Journal.

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17. Associate editor for IEEE Transactions on Medical Imaging.

18. A member of the Editorial Board of International Journal of Image & Graphics.

19. Reviewer for IEEE Transactions on Medical Imaging.

20. Reviewer for Journal of Medical Physics.

21. Reviewer for Journal of Academic Radiology.

22. Reviewer for Journal of Biomedical Optics.

Curriculum Vitae for: Wei Qian - UTEP Faculty Profileshb2504.utep.edu/vitas/wqian.pdf · Wei Qian,...

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