Curriculum Vitae for: Wei Qianhb2504.utep.edu/vitas/wqian.doc · Web viewCurriculum Vitae for:...

Curriculum Vitae for: Wei Qian

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Wei Qian, Ph.D.

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

1993-2000

Assistant Professor, Dept. of Radiology, College of Medicine, University of South Florida, Tampa, FL

1991-1993

Postdoctoral Research Associate. Dept. of Radiology, College of Medicine, University of South Florida, Tampa, FL

1990-1991

Postdoctoral Research Associate. Dept. of Electrical Engineering, University of Notre Dame

Postgraduate Training and Fellowship Appointments

1990-1991:

Postdoctoral Research Training, Department of Electrical Engineering, University of Notre Dame, South Bend, Indiana

1991-1993

Postdoctoral Research Training, Department of Radiology, College of Medicine, University of South Florida, Tampa, FL

Education

1978‑1982:

B.Sc. Electrical Engineering, Nanjing University of Telecommunications, P. R. China

1982‑1985

M.Sc. Computer Science, Nanjing University of Telecommunications, P. R. China

1987-1990

Ph.D. Biomedical Engineering, Southeast University, P.R. China

Current Membership in Professional Organizations

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

Selected Awards and Honor Services to Profession

1. 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, December 2017.

2. 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. Oct. 2017

3. Invited Reviewer as Panel member for PAR-17-128: Quantitative Imaging Tools and Methods for Cancer Therapy Response Assessment (UG3/UH3). September 2017.

4. 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. July 2017.

5. 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”, March 2017.

6. 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, November-December 2016.

7. NIH Special Emphasis Panel (ZRG1 SBIB-F31) to review applications submitted to PAR-16-053 High-End Instrumentation (HEI) Grant Program (S10), August, 2016

8. Reviewer for the Pennsylvania Department of Health Final Performance Review – 16-17 Cycle A. August, 2016

9. NIH/NCI Invited Reviewer as Panel member for the review of Small Grants Program for Cancer Research (NCI PAR-14-007 (R03) Omnibus R03) 2015/05 Council ZCA1 RTRB-R M1 S. 03/25/2015-03/36/2015.

10. NIH/NCI Invited Reviewer as Panel member for the review of Exploratory/Developments Research Grants Program (NCI PAR-13-146 (R21) Omnibus R21) 2015/05 Council ZCA1 RTRB-R M1 S. 03/25/2015-03/36/2015.

11. Special Emphasis Panel (ZRG1 SBIB-F30) to review biomedical imaging instrumentation applications submitted in response to PAR-14-073 Shared Instrumentation Grant Program (S10).

12. Invited Reviewer as Panel member for PA DoH Commercialization Online Peer Review Feb. 2015

13. Invited Reviewer as Panel member for P41 Review Panel** 2015-01 NIH-NIBIB P41 Review Meeting, June 17, 2014

14. 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 2013

15. NCI Invited Reviewer for National Institute of Biomedical Imaging and Bioengineering 2014-01 NIH - NIBIB P41 Review Panel, 2013

16. Worked as a Volunteer for Grand Award judge at the 2010, 2011, 2012, 2014 Intel International Science and Engineering Fair. 2010, 2011, 2012, 2014.

17. Served on Scientific Review Panel for Biomedical Imaging Technology Study Section, Surgical Sciences, Biomedical Imaging and Bioengineering Integrated Review Group, during 04th - 06th of October, 2010.

18. Star Award for Biomedical Engineering Research Achievements from Texas State University System, August 2008

19. Invited Reviewer for Scientific Review Panel for Biomedical Imaging Technology Study Section, Surgical Sciences, Biomedical Imaging and Bioengineering Integrated Review Group, during 04th - 06th of October, 2010.

20. Invited Reviewer for Cell Biology Integrated Review Group, Center for Scientific Review (CSR), National Institutes of Health during 09th - 12th of December, 2009.

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, 02/02/2009 – 02/03/09.

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, March 25 -27, 2009.

23. Served on Special Emphasis Review Panel (NHLBI-HR-08-06, -07, and -08) 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, 03/13/2008- 03/14/2008.

24. Served on grant Review Panel for 2008/05 ZRG1 SBIB-S (50) R, Academic-Industry Partnership in Cancer Imaging, 02/15/2008- 02/16/2008.

25. Invited Chair for chairing the 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).

26. Session Chair for chairing a session titled "Image processing, segmentation and registration" The 2009 AAPM 51st Annual Meeting, Anaheim Convention Center, Anaheim, California, July 26 – 30, 2009.

27. Star Award for Biomedical Engineering Research Achievements from Texas State University System, August 2008

28. Session Chairman for International Conference on Informatics in Control, Automation and Robotics – ICINCO July 21-25, 2006. Orlando, Florida July 2006.

29. Session Chairman for The Eighth IASTED International Conference on Signal and Image Processing, Honolulu, Hawaii, August 2005.

30. ACS Awards: 18th UICC International Cancer Congress, Oslo, Norway, June 2002.

31. Session Chairman: International Conference on Diagnostic Imaging and Analysis, 2002.

32. Session Chairman: 20th Annual Conference of the IEEE Engineering in Medicine and Biology Society, Hong Kong, Oct. 28 - Nov. 1, 1998.

33. Outstanding Paper Award in Moffitt Cancer Center and Research Institute, 1995.

34. Invited paper: IEEE Eng. in Medicine and Biology Magazine, Wavelets for Image Analysis, 1995.

35. Invited paper: World Congress on Neural Networks, Washington, D.C., July 1995.

36. Invited symposium speaker: AAPM Annual Meeting, Boston, MA, August, 1995.

37. Invited paper: World Congress on Neural Networks, San Diego, CA, June 1994.

38. Outstanding Paper Award in Moffitt Cancer Center and Research Institute, 1995.

39. Session Chairman: 16th International Conference of IEEE Eng. in Med. and Biology Society, 1994.

40. Honored Evelyn and Alfred Silbiger Cancer Research Fellow Award in Radiology, 1993.

41. Honored Evelyn and Alfred Silbiger Cancer Research Fellow award in Radiology,1992–94.

Patents

1.United States Patent, No. 5576548, Nov. 1996: "Nuclear Imaging Enhancer"

2.United States Patent, No.5799100, Aug. 1998: "Computer-Assisted Method and Apparatus for Analysis of X-Ray Images Using Wavelet Transforms"

3.United States Patent, No. 5825936, Oct. 1998: "Image Analyzing Device Using AdaptiveCriteria"

4.United States Patent, No. 5987094, Nov.1999: "Computer-Assisted Method and Apparatus for detection of lung nodules"

5.United States Patent, No. 5982917, Nov. 1999"Computer-Assisted Method and Apparatus for Displaying X-Ray Images"

6. United States Patent, No. 8077958, Dec. 2011 - 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. 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.

2. 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.

3. 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.

4. 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

5. 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.

6. 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.

7. 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.

8. 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.

9. 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.

10. 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)

11. 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)

12. 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)

13. 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)

14. 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)

15. 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)

16. 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)

17. 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)

18. 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.

19. 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.

20. 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

21. 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

22. 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

23. 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.

24. 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.

25. 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.

26. 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.

27. 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.

28. 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.

29. 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.

30. 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.

31. 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)

32. 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)

33. 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)

34. 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)

35. He Ma, Tiantian Zhao, Jinghan Li, Wei Qian. Abandoned Object Detection Based on Tachograph Videos. International Computer Symposium 2016. (Accepted)

36. 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

37. 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

38. 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, on pending.

39. 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)

40. 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

41. 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)

42. 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.

43. 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.

44. 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.

45. 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.

46. 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.

47. 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

48. 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.

49. 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.

50. 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]

51. 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.

52. 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.

53. 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”, Accepted Medical Physics, 2014.

54. 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.

55. 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.

56. 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]

57. 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.

58. 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]

59. 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.

60. 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.

61. 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.

62. 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.

63. 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.

64. 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, Accepted 2013

65. 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.

66. 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)

67. 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)

68. 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.

69. W Liu, B Peng, Y Lu, Wei Qian, JY Zhang. Autoantibodies to tumor-associated antigens as biomarkers in cancer immunodiagnosis. Autoimmunity Reviews, April, 2011.

70. 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

71. 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.

72. 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.

73. 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.

74. 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.

75. 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.

76. 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.

77. 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.

78. 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 .

79. 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.

80. 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

81. 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.

82. 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.

83. Luo, P., Qian, W., Romilly, P. CAD-aided mammogram training. Academic Radiology, 12:1039-1048, 2005.

84. 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

85. Sun, X., Qian, W., and Song, D. Ipsilateral-Mammogram Computer-Aided Detection of Breast Cancer. Computerized Medical Imaging and Graphics, 28:151-158, 2004.

86. Zhang, L., Sankar. R. and Qian, W.. Advances in micro-calcification clusters detection in mammography. Computers in Biology and Medicine, pp1-14, July, 2002.

87. 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.

88. 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.

89. 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.

90. 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.

91. 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.

92. 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.

93. 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.

94. 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.

95. Qian, W. and Clarke LP, Digital Mammography: Hybrid 4-Channel Wavelet Transform for Microcalcification Segmentation. Academic Radiology, 5:354-364, 1998.

96. 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.

97. 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.

98. 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.

99. 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.

100. 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.

101. 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.

102. 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.

103. 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.

104. 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.

105. 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.

106. 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.

107. 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.

108. 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.

109. 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

110. 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.

111. Qian, W. The Modeling and Recognition of 3‑D Images by Space Markov Cubic Mesh Models, Journal of Electronics, Vol.4, 23-31 1990.

112. Qian, W. Multi‑Adaptive Nonlinear Two‑Dimensional Filterings. ACTA ELECTRONICA SINICA, Vol.5, 72-88 1990.

113. Qian, W. 3‑D Recursive Digital Filtering with Linear‑phase. Signal Processing, Vol.3, 35-47, 1989.

114. Qian, W. The Modeling of 3‑D Images and Space Markov Cubic Mesh Models. Journal of Electronics, 6:64-78, 1989.

115. Qian, W. and Ouyan M. 2‑D Recursive Digital Filtering on Symmetry Constraints. Journal of China Institute of Communications, 8:53-58, 1987.

116. 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, April, 2011

Invited book chapter: Soft Computing for Intelligent Control and Mobile Robotics, Volume 318/2011, pp. 373-393, ISBN: 978-3-642-15533-8, Springer 2011

Invited paper: Proceedings of the IEEE, Special Issue on Neural Network Applications, 1996.

Invited paper: IEEE Eng. in Medicine and Biology Magazine, Wavelets for Image Analysis, 1995

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

Invited paper: World Congress on Neural Networks, San Diego, California, June 1994

Proceeding Papers/Conference Presentations/Plenary Presentations:

1. 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.

2. 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.

3. 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.

4. 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)

5. 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)

6. 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)

7. 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.

8. 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.

9. 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.

10. 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.

11. 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.” In International Workshop on Digital Mammography, pp. 392-399. Springer International Publishing, 2016.

12. 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 (pp. 941422-941422). International Society for Optics and Photonics.

13. 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.

14. 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.

15. 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.

16. 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.

17. 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.

18. 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.

19. 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.

20. 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.

21. 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

22. Wenqing Sun , Xia Huang, Jianying Zhang, Wei Qian, Computerized lung cancer malignancy level analysis using 3D texture features, SPIE medical imaging 2016

23. Wenqing Sun, Bin Zheng, Wei Qian, Computer aided lung cancer diagnosis with deep learning algorithms, SPIE medical imaging 2016

24. 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

25. 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

26. 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

27. 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

28. 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

29. Jianxiang Shi, Hao Sun, Hongfei Zhang, Pei Li, Liping Dai, Wei Qian and Jianying Zhang. Systematic Discovery of Biomarkers for Ovarian Cancer. BBRC, Sept. 2015, El Paso

30. Jianxiang Shi, Hao Sun, Hongfei Zhang, Pei Li, Liping Dai, Wei Qian and Jianying Zhang. Evaluation and validation of IMP2 (IMP1, P62, Koc) as TAAs biomarkers in acute myeloid leukemia (AML). BBRC, Sept. 2015, El Paso

31. 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

32. 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

33. 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

34. 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

35. 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.

36. 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

37. 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

38. 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

39. 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.

40. 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.

41. 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

42. 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.

43. 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).

44. 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.

45. 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

46. 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.

47. 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).

48. 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).

49. 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.

50. Kanaka K, Samala R, Zhang J, Qian W., " Reliability Study of Reconstruction methods in Tomosynthesis Imaging of various Geometrical Objects", Proceedings of SPIE Symposium on Medical Imaging, in San Diego, California USA, February 13-18, 2010.

51. 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.

52. 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.

53. 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

54. 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

55. 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

56. 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

57. 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.

58. 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.

59. 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

60. 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.

61. 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.

62. Kanaka K, Samala R, Zhang J, Qian W., " Reliability Study of Reconstruction methods in Tomosynthesis Imaging of various Geometrical Objects", Proceedings of SPIE Symposium on Medical Imaging, in San Diego, California USA, February 13-18, 2010.

63. 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.

64. 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.

65. 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

66. 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

67. 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

68. 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

69. 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.

70. 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

71. Hongshun Su, Qian, W., Sun XJ and Sankar R. A NEW KNOWLEDGE-BASED LUNG NODULE DETECTION SYSTEM" Proceeding of ICASSP 2004 in Montreal, Canada

72. 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

73. Sun, X., Qian, W., and Song, D. Ipsilateral-Mammogram Computer-Aided Detection of Breast Cancer. Computerized Medical Imaging and Graphics, 28:151-158, 2004

74. 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.

75. 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.

76. 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

77. 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

78. 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.

79. 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

80. 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

81. 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

82. Song, XS., Qian, W., and Ravi S. Standardization for image characteristics in telemammography. Proc. of IEEE ICASSP'2002, Orlando Florida, May 13-17, 2002

83. 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

84. 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

85. 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

86. 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

87. 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.

88. 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

89. 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.

90. 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

91. 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

92. 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.

93. 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.

94. 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

95. Li, LH., Qian, W., Clarke, LP. Adaptive segmentation of X‑ray CT images using vector quantization. Proc. of SPIE Medical Imaging, Feb. 1997.

96. Qian, W., Li, L., Clarke, LP. Digital mammography: Wavelet based CAD method for mass detection. Proc. of SPIE Medical Imaging, Feb. 1997.

97. 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.

98. 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.

99. 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.

100. 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.

101. 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

102. 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.

103. 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.

104. 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.

105. 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

106. 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.

107. 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.

108. 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.

109. 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.

110. 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.

111. 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.

112. 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.

113. 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.

114. 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.

115. 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.

116. 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.

117. 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.

118. 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.

119. 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.

120. 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 Engineering in Medicine and Biology Society, Paris, France; October 29 ‑ November 1, 1992.

121. 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.

122. 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

123. 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.

124. 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.

125. 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.

126. 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

127. 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

128. 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.

129. Qian, W. and Shen J. The ADANONLINE Neural Nets. Proc. of EURASIP Workshop on Neural Networks 1990.

130. Qian, W. and Shen J. Image Processing on the bases of Hopfield Neural Network Model. Proc. of ISMM 1990 in U.S.A.

131. 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.

132. 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.

133. Qian, W. 3‑D Recursive Digital Filtering with Linear‑phase in communications. Proceeding of International Conf. on Communication System, IEEE 1988 in Singapore

134. 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.

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

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


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)

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



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%


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

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 Direct Costs:

$332,000.00


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 Direct Costs:

$148,000.00


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

Total Direct Costs:

$205,859.00


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

% Effort:

Title: Optical Processor Based CAD for Mammography

Total Direct Costs: $840,000.00


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:





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


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.



Source:MDA

% Effort:

Title: Digital Mammography: CAD for Computed Radiographic Diagnosis and Multisite ROC Evaluation

Total Direct Costs:

$1,223,673.00


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.



Source:MDA

% Effort:


Total Direct Costs:

$1,049,673.00


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 Direct Costs:

$286,824.00


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 Direct Costs:

$506,865.00


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 Direct Costs:

$50,000.00


Brief Description:Research aims are to optimize existing wavelet based algorithms for MRI image enhancement and provide software to Picker.



Source:MDA

% Effort:


Total Direct Costs:

$1,049,673.00


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 Direct Costs:

$24,000.00


Brief Description:Evaluation of image compression methods for efficient image transfer.


Dates:Jun. 1998 - May, 1999

Source:NIH SBIR, Phase I

% Effort:






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 Direct Costs:

$24,000.00


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

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:


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%

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 graduates and undergraduates in the department of Electrical 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 graduates and undergraduates in the department of Electrical Engineering.

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

Account #:

Wei Qian, PI

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%



Brief Description:Development of a biomedical engineering and biomedical imaging informati

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