Contact Information

Email: pingkun (at) ieee (dot) org

Pingkun Yan, Ph.D.

[Research Interests] [Experiences] [Selected Publications] [Patents] [Selected Awards] [Professional Activities] [Membership]


News:

Machine Learning in Medical Imaging, Special Issue of Machine Vision and Applications (Springer), Manuscript Due: February 1st, 2012.


Research Interests:

  • Biomedical image analysis
  • Medical image guided intervention
  • Object detection and recognition
  • Visual tracking
  • Pattern recognition
  • Machine learning
[Back to Top]


Experiences:

  • 2007-2011, Senior Member Research Staff, Philips Research North America
  • 2005-2007, Research Associate, University of Central Florida
  • 2001-2005, Research Scholar, National University of Singapore
[Back to Top]


Selected Publications

Edited Books

  1. K. Suzuki, F. Wang, D. Shen, P. Yan, Machine Learning in Medical Imaging, Lecture Notes in Computer Science (LNCS), vol. 7009, Springer, 2011.
  2. A. Madabhushi, J. Dowling, P. Yan, A. Fenster, P. Abolmaesumi, N. Hata, Prostate cancer imaging: computer aided diagnosis, prognosis, and intervention, Lecture Notes in Computer Science (LNCS), vol. 6367, Springer, 2010.
  3. F. Wang, P. Yan, K. Suzuki, D. Shen, Machine Learning in Medical Imaging, Lecture Notes in Computer Science (LNCS), vol. 6357, Springer, 2010.
[Back to Top]

Book Chapters and Journal Papers

  1. P. Yan, S. Xu, B. Turkbey, J. Kruecker, Adaptively Learning Local Shape Statistics for Prostate Segmentation in Ultrasound, IEEE Trans. Biomedical Engineering, vol. 58, no. 3, pp. 633-641, 2011.
  2. P. Pinto, P. Chung, A. Rastinehad, A. Baccala, J. Kruecker, C. Benjamin, S. Xu, P. Yan, S. Kadoury, C. Chua, J. Locklin, B. Turkbey, J. Shih, S. Gates, C. Buckner, G. Bratslavsky, M. Linehan, N. Glossop, P. Choyke, and B. Wood, Magnetic Resonance Imaging/Ultrasound Fusion Guided Prostate Biopsy Improves Cancer Detection Following Transrectal Ultrasound Biopsy and Correlates With Multiparametric Magnetic Resonance Imaging, Journal of Urology, vol. 186, pp. 1281-1285, 2011.
  3. A. Ayvaci, P. Yan*, S. Xu, S. Soatto, J. Kruecker, Biopsy Needle Detection in Transrectal Ultrasound, Computerized Medical Imaging and Graphics, vol. 35, pp. 653-659, 2011.
  4. X. Cao, C. Wu, J. Lan, P. Yan*, X. Li, Vehicle Detection and Motion Analysis in Low-altitude Airborne Video under Urban Environment, IEEE Trans. Circuits and Systems for Video Technology, vol. 21, no. 10, pp. 1522-1533, Oct. 2011.
  5. Y. Tang, P. Yan*, Y. Yuan, X. Li, Single-Image Super-resolution via Local Learning, International Journal of Machine Learning and Cybernetics, vol. 2, no. 1, pp. 15-23, 2011.
  6. A. Rastinehad, A. Baccala, P. Chung, J. Proano, J. Kruecker, S. Xu, J. Locklin, B. Turkbey, J. Shih, G. Bratslavsky, W. Linehan, N. Glossop, P. Yan, S. Kadoury, P. Choyke, B. Wood, P. Pinto, D'Amico risk stratification correlates with degree of suspicion of prostate cancer on multiparametric magnetic resonance imaging, Journal of Urology, vol. 185, pp. 815-820, March 2011.
  7. X. Cao, Z. Wang, P. Yan*, X. Li, Rapid Pedestrian Detection in Unseen Scenes, Neurocomputing, vol. 74, pp. 3343-3350, 2011.
  8. X. Cao, B. Ning, P. Yan*, X. Li, "Selecting Key Poses on Manifold for Pair-Wise Action Recognition," IEEE Trans. Industrial Informatics, accepted, 2011.
  9. J. Zhang, L. Fu, X. Cao, Y. Yuan, P. Yan*, Model based Power Line Detection from Low Altitude Aerial Images, Neurocomputing, accepted, 2011.
  10. X. Cao, J. Lan, P. Yan*, X. Li, Vehicle Detection and Tracking in Airborne Videos by Multi-motion Layer Analysis, Machine Vision and Applications, accepted, 2011.
  11. X. Cao, R. Lin, P. Yan*, X. Li, Visual Attention Accelerated Vehicle Detection in Low-altitude Airborne Video of Urban Environment, IEEE Trans. Circuits and Systems for Video Technology, accepted, 2011.
  12. X. Lu, T. Gong, P. Yan*, Y. Yuan, X. Li, Robust Alternative Minimization Algorithm for Matrix Completion, IEEE Trans. Systems, Man, and Cybernetics, Part B, accepted, 2011.
  13. X. Cao, Z. Wang, P. Yan*, X. Li, Transfer Learning for Pedestrian Detection, Neurocomputing, accepted, 2011.
  14. P. Yan*, S. Xu, B. Turkbey, J. Kruecker, Discrete Deformable Model Guided by Partial Active Shape Model for TRUS Image Segmentation, IEEE Trans. Biomedical Engineering, vol. 57, no. 5, pp. 1158-1166, May 2010.
  15. P. Yan, A. A. Kassim, W. Shen, M. Shah, Modeling Interaction for Segmentation of Neighboring Structures, IEEE Trans. Information Technology in Biomedicine, vol. 13, No. 2, pp. 252-262, March 2009.
  16. A. A. Kassim and P. Yan, Medical Image Processing, Encyclopedia of Computer Science and Engineering, B.W. Wah (ed.), John Wiley & Sons, New Jersey, 2008.
  17. P. Yan*, X. Zhou, M. Shah, S. Wong, Automatic Segmentation of High Throughput RNAi Fluorescent Cellular Images, IEEE Trans. Information Technology in Biomedicine, vol. 12, No. 1, pp. 109-117, Jan 2008. [Demo Program (.zip)]
  18. O. Alatas, P. Yan*, M. Shah, Spatiotemporal Regularity Flow (SPREF): Its Estimation and Applications, IEEE Trans. Circuits and Systems for Video Technology, vol. 17, No. 5, pp. 584-589, May 2007.
  19. P. Yan and A. A. Kassim, Medical image segmentation using minimal path deformable models with implicit shape priors, IEEE Trans. Information Technology in Biomedicine, vol. 10, No. 4, pp. 677-684, Oct 2006.
  20. P. Yan and A. A. Kassim, Segmentation of Volumetric MRA Images by Using Capillary Active Contour, Medical Image Analysis, vol. 10, No. 3, pp. 317-329, June 2006.
  21. A. A. Kassim, P. Yan, W. S. Lee, K. Sengupta, Motion Compensated Lossy-to-Lossless Compression of 4D Medical Images Using Integer Wavelet Transforms, IEEE Trans. Information Technology in Biomedicine, vol. 9, No. 1, pp. 132-138, March 2005.
[Back to Top]

Selected Peer Reviewed Conference Papers

  1. Y. Cao, Y. Yuan, X. Li, B. Turkbey, P. Choyke, P. Yan, Segmenting Images by Combining Selected Atlases on Manifold, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Part III, LNCS 6893, pp. 272-279, 2011.
  2. M. Yang, Y. Yuan, X. Li, P. Yan, Medical Image Segmentation Using Descriptive Image Features, British Machine Vision Conference (BMVC), Dundee, UK, 2011.
  3. X. Lu, H. Yuan, P. Yan, Y. Yuan, X. Li, Image Denoising via Improved Sparse Coding, British Machine Vision Conference (BMVC), Dundee, UK, 2011.
  4. W. Zhang, Y. Yuan, X. Li, P. Yan, Learning SURPASS for Hierarchical 3D Medical Image Segmentation, IEEE International Conference on Image Processing (ICIP), pp. 2237-2240, Brussels, Belgium, 2011.
  5. Y. Cao, Y. Yuan, X. Li, P. Yan, Putting Images on a Manifold for Atlas-based Image Segmentation, IEEE International Conference on Image Processing (ICIP), pp. 721-724, Brussels, Belgium, 2011.
  6. Q. Wang, P. Yan, Y. Yuan, X. Li, Robust color correction in stereo vision, IEEE International Conference on Image Processing (ICIP), pp. 981-984, Brussels, Belgium, 2011.
  7. X. Lu, Y. Yuan, P. Yan, X. Li, A novel alternative algorithm for limited angle tomography, IEEE International Conference on Image Processing (ICIP), pp. 417-420, Brussels, Belgium, 2011.
  8. X. Cao, C. Wu, P. Yan, X. Li, Linear SVM classification using boosting HOG features for vehicle detection in low-altitude airborne videos, IEEE International Conference on Image Processing (ICIP), pp. 2469-2472, Brussels, Belgium, 2011.
  9. W. Zhang, P. Yan, X. Li, Estimating Patient-specific Shape Prior for Medical Image Segmentation, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1451-1454, Chicago, USA, 2011.
  10. P. Yan and J. Kruecker, Incremental Shape Statistics Learning for Prostate Tracking in TRUS, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), vol. 2, pp. 42-49, Beijing, China 2010.
  11. S. Kadoury, P. Yan, S. Xu, N. D. Glossop, P. L. Choyke, B. Turkbey, P. Pinto, B. J. Wood, J. Kruecker, Realtime TRUS/MRI Fusion Targeted-Biopsy for Prostate Cancer: A Clinical Demonstration of Increased Positive Biopsy Rates, Prostate Cancer Imaging in conjunction with MICCAI 2010: 52-62.
  12. P. Yan, S. Xu, B. Turkbey, J. Kruecker, Segmenting TRUS video sequences using local shape statistics, SPIE Medical Imaging 2010: Visualization, Image-guided Procedures and Modeling, San Diego, CA 2010.
  13. S. Xu, B. Turkbey, J. Kruecker, J. Locklin, P. Yan, P. A. Pinto, P. L. Choyke, B. J. Wood, Multiparametric MRI-pathologic correlation of prostate cancer using tracked biopsies, SPIE Medical Imaging 2010: Visualization, Image-guided Procedures and Modeling, San Diego, CA 2010.
  14. P. Yan, S. Xu, B. Turkbey, J. Kruecker, Optimal search guided by partial active shape model for prostate segmentation in TRUS images, SPIE Medical Imaging 2009: Visualization, Image-guided Procedures and Modeling, Orlando, Florida 2009.
  15. P. Yan, S. M. Khan, M. Shah, Learning 4D Action Feature Models for Arbitrary View Action Recognition, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska 2008.
  16. T. Goodhart, P. Yan, M. Shah, Action Recognition using Spatio-Temporal Regularity based Features, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, Nevada 2008.
  17. P. Yan, S. M. Khan, M. Shah, 3D Model based Object Class Detection in An Arbitrary View, IEEE International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil 2007.
  18. S. M. Khan, P. Yan, M. Shah, A Homographic Framework for the Fusion of Multi-view Silhouettes, IEEE International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil 2007.
  19. P. Yan and M. Shah, Segmentation of Neighboring Structures by Modeling Their Interaction, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), with CVPR 2006.
  20. P. Yan and A. A. Kassim, MRA image segmentation with capillary active contour, In Proceedings of Int. Conf. Medical Image Computing and Computer Assisted Intervention (MICCAI), vol. 1, pp. 51-58, 2005. (MICCAI NDI Student Award)
  21. P. Yan, W. Shen, A. A. Kassim, and M. Shah, Segmentation of neighboring organs in medical image with model competition, In Proceedings of Int. Conf. Medical Image Computing and Computer Assisted Intervention (MICCAI), vol. 1, pp. 270-277, 2005.
  22. R. Medina., A. Bravo, P. Windyga, J. Toro, P. Yan, and G. Onik, A 2-D Active Appearance Model For Prostate Segmentation in Ultrasound Images, In Proceedings of 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2005.
  23. P. Yan and A. A. Kassim, Lossless and near-lossless motion-compensated 4D medical image compression, In Proceedings of IEEE International Workshop on BioMedical Circuits & Systems (BioCAS), Singapore, December 2004.
  24. P. Yan and A. A. Kassim, Medical image segmentation with minimal path deformable models, In Proceedings of IEEE International Conference on Image Processing (ICIP), pp. 2733-2736, Singapore, October 2004.
[Back to Top]

Peer Reviewed Conference Abstracts

  1. S. Xu, J. Kruecker, P. Yan, A. Rastinehad, A. Baccala, J. Locklin, P. A. Pinto, B. J. Wood, "Image guidance for focal prostate ablation using MRI / ultrasound fusion: a phantom study," In Proc. Computer Assisted Radiology and Surgery (CARS), Geneva, Switzerland, 2010.
  2. J. Kruecker, S. Xu, P. Yan, B. Turkbey, P. A. Pinto, B. J. Wood, "Clinical experience with realtime TRUS/MRI fusion-guided targeted prostate biopsy," In Proc. 95th Meeting of Radiological Soc. of North America (RSNA), Chicago, IL, 2009.
  3. E. J. Leach, P. Yan, D. J. Rippe, N. Avgeropoulos, S. Wu, M. Shah, "Knowledge-Based Framework for Quantifying Enhancing Brain Tissue," In Proc. Joint Meeting of the Society for Neuro-Oncology and the AANS/CNS Section on Tumors, New Orleans, Louisiana 2009.
[Back to Top]

Technical Reports

  1. O. Alatas, P. Yan, and M. Shah, Spatiotemporal Regularity Flow (SPREF): Its Estimation and Applications, Technical Report #122606, Computer Vision Lab, University of Central Florida, 2007.
[Back to Top]


Patents:

  • P. Yan, J. Kruecker, A. Ayvaci, "A System and Methods for Needle Deployment Detection in Image-guided Biopsy Procedures," US patent filed in 2011.
  • P. Yan, V. Parthasarathy, R. Manzke, A. Jain, "Technique to visualize/segment catheter in 3D Ultrasound using geometry from monoplane X-ray imaging," US patent filed in 2011.
  • S. M. Khan, P. Yan, M. Shah, "Systems and methods for modeling three-dimensional objects from two-dimensional images," US patent filed in 2009.
[Back to Top]


Selected Awards:

  • Innovation in Industry Award Finalist (4 out of 120 candidates) for breakthrough technologies to overcome image guidance limitations for prostate cancer diagnosis and therapy, NYAS, 2008.
  • MICCAI NDI Award for the best presentation in Image Segmentation and Analysis at the 8th International Conference on Medical Image Computing and Computer Aided Intervention, 2005.
[Back to Top]


Professional Activities

Editorship

[Back to Top]

Conference/Workshop Organization

[Back to Top]

Program Committee Member (Selected from 40+)

[Back to Top]

Reviewer

  • CIMIT Grant Proposals
  • NIH Grant Proposals
  • ACM Computing Surveys
  • Computer Vision and Image Understanding
  • Computerized Medical Imaging and Graphics
  • Computing and Informatics
  • IEEE Trans. Biomedical Engineering
  • IEEE Trans. Circuits and Systems for Video Technology
  • IEEE Trans. Image Processing
  • IEEE Trans. Information Technology in Biomedicine
  • IEEE Trans. Intelligent Transportation Systems
  • IEEE Trans. Medical Imaging
  • IEEE Trans. Pattern Analysis and Machine Intelligence
  • IEEE Trans. System, Man and Cybernetics--Part B
  • International Journal for Computational Vision and Biomechanics
  • International Journal for Computer Assisted Radiology and Surgery
  • International Journal of Computer Mathematics
  • International Journal of Imaging Systems and Technology
  • International Journal of Pattern Recognition and Artificial Intelligence
  • Machine Vision and Applications
  • Medical Image Analysis
  • Medical Physics
  • Neurocomputing
  • Pattern Analysis & Applications Journal
  • Pattern Recognition
  • Signal Processing: Image Communication
  • International conferences including MICCAI, ISBI, BMVC, EMBC, ICPR, ICIP, ICASSP, MIAR, ICARCV, etc.
[Back to Top]


Membership in professional organizations:

  • Senior Member, IEEE
  • Co-chair, IEEE SMCS Technical Committee on Cognitive Computing
  • Full Member, Sigma Xi
  • Member, MICCAI
[Back to Top]


This page has been visited several times since 2005-06-20.