Dr. Shuo Li, Ph.D

shuo Affiliation
Funding Scientific Director
Digital Imaging Group of London

Associate Professor,
Dept. of Medical Imaging,
Dept. of Medical Biophysics,
Schulich School of Medicine and Dentistry
University of Western Ontario

Scientist,
Lawson Imaging
Research Interests
Big Data, Cloud Computing, Machine Learning, Medical Image Analysis, Computer aided Diagnosis.
Previous Experience
2007-2015 Adjunct Research Professor - Dept. of Medical Imaging, Schulich School of Medicine and Dentistry, University of Western Ontario
2007-2015 Adjunct Scientist - Lawson Health Research Institute
2006-2015 Adjunct Research Professor - Dept. of Biophysics, Schulich School of Medicine and Dentistry, University of Western Ontario
2006-2015 Research Scientist and Project Manager - GE Healthcare
Recent Selected Activities
Member of the Board of Directors - MICCAI Society , 2016-2020
Member of Technical Committee - IEEE Engineering in Medicine and Biology Society Transnational Engineering and Healthcare Innovation , 2015-present
Associate Editor - Medical Image Analysis Journal , 2015-present
- Computerized Medical Imaging and Graphics (CMIG) , 2013-present

Special Issue Guest Editor - Spine Imaging, Image-based Modeling, and Image Guided Interventionin IEEE TRANSACTIONS ON MEDICAL IMAGING, 2014
- Advanced Information Processing for Orthopaedic Interventions in International Journal of Biomedical Imaging, 2014
- Spine Imaging in Computerized Medical Imaging and Graphics (CMIG)
- Deformable Image Registration in International Journal of Biomedical Imaging, 2013
- Shape Analysis in Computer Vision and Image Understanding (CVIU)

Editor - Editor/Author of two Springer books (2014)
- Computational Biology and Bioinformatics, 2012-present
- Editor in ISRN Artificial Intelligence, 2012-present

Session Chair - AnalytiX 2013

Publicity Chair - 8th International Conference on Image and Graphics (ICIG)

- Poster Session Chair, MICCAI 2012 in Nice, France

Organizer - Computational Methods and Clinical Applications for Spine Imaging Workshop 2013, 2014.
- Bio-Imaging and Visualization for Patient-Customized Simulations Workshop 2013

Member - Program Committee Member, MICCAI 2015, Munich, Germany
- Program Committee Member, MICCAI 2013, Nagoya, Japan
- Program Committee Member, 7th International Conference on Functional Imaging and Modeling of the Heart(FIMH), London, UK 2013
- Program Committee Member, MICCAI 2012 in Nice, France
- Local Organizing Committee Member, MICCAI 2011 in Toronto
- Member of IEEE Engineering in Medicine and Biology Society Technical Committee on Biomedical Imaging and Image Processing, 2013 - now

Advisory Board - International Journal of Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2012-present

Scientific advisor - Lecture Notes in Computational Vision and Biomechanics (LNCVB) in Springer, 2013-preset
Open Data Set Available
1. Cardiac: MRI from 40 subjects with LV manually segmented
Submit a request from http://digitalimaginggroup.ca/contact.php
2. Spinal Imaging and Image Analysis Dataset from Spineweb (See in Updates!)
Awards
1. Country Present Award, RSNA, 2014
2. Above & Beyond Award, GE, 2014
3. Above & Beyond Bronze Award, GE, 2012
4. Innovation award, GE, 2009
5. GE Hero award, GE, 2008
6. Management award, GE, 2008
7. Innovation award, GE, 2008
8. Doctoral prize, Concordia University, 2007
Current Team
1. Dr. Jaron Chong (M.D.), Resident, University of Western Ontario and McGill University, 2007-Now
2. Dr. Rohit Joshi (M.D.), Resident, University of Western Ontario, 2012-Now
3. Dr. Xiantong Zhen, Ph.D, Postdoctoral fellow, 2013-Now
4. Dr. Yunliang Cai, Ph.D, Postdoctoral fellow, 2013-Now
5. Dr. Xiaoxu He, Ph.D, Postdoctoral fellow, 2015-Now
6. Chibi LaiTung Li, University of Western Ontario, 2013-Now
7. Wufeng Xue, Ph.D, Postdoctoral fellow, 2016-Now
8. Haoliang Sun, PhD student, 2015-Now
Previous Member
1. Dr. Ismail Ben Ayed, Associate Professor in ETS, University of Quebec
2. Dr. Kumaradevan Punithakumar, Assistant Professor, Operational and Computational Director, Servier Virtual Cardiac Centre Radiology & Diagnostic Imaging, University of Alberta.
3. Dr. Mariam Afshin, Research fellow, Sunnybrooks Research Institute
4. Dr. Max Law, Medical Physicist in Hong Kong
5. Dr. Bin Gu, Professor at Nanjing University of Information Science and Technology in Nanjing, China
6. Dr. Hua-Mei Chen, Scientist, Signal Processing Inc., USA
7. Dr. Zhijie Wang, Scientist, Monsanto Corporation, USA
Books
1. Guoyan Zheng, Shuo Li, Computational Radiology for Orthopaedic Interventions, series: LNCVB, Vol. 23, ISBN 978-3-319-23481-6, Springer, 2016
2. Fei Gao, Kuangyu Shi, and Shuo Li, Computational Methods for Molecular Imaging, series: LNCVB, Vol.22, ISBN 978-3-319-18430-2, Springer, 2016
3. Jianhua Yao, Ben Glocker, Tobias Klinder, and Shuo Li, "Recent Advances in Computational Methods and Clinical Applications for Spine Imaging", series: LNCVB, Vol.20, P.230, ISBN 978-3-319-14148-0, Springer, 2015
4. Shuo Li, Jianhua Yao, "Spine Imaging and Image Analysis", series: LNCVB, Vol. 524, p. 261, ISBN 978-3-319-12508-4, Springer 2015
5. Jack Yao, Tobias Klinder, and Shuo Li, "Computational Methods and Clinical Applications for Spine Imaging". series: LNCVB,Vol.17, ISBN: 978-3-319-07269-2, Springer, 2014
6. Shuo Li, and Joao Manuel R. S. Tavares, "Shape Analysis in Medical Image Analysis". series: LNCVB, Vol. 14, p. 442, ISBN 978-3-319-03812-4,Springer, 2014
7. Joao Manuel R. S. Tavares, Xiongbiao Luo, and Shuo Li, “Bio-Imaging and Visualization for Patient-Customized Simulations”. series: LNCVB, Vol. 13, p. 137, ISBN: 978-3-319-03589-5, Springer, 2014
Recent Invited Talks
1. "New Opportunity in Medical Image Analysis", Waterloo University, Waterloo, Canada, 2016
2. "New Opportunity in Medical Image Analysis", Soochow University, Suzhou, China, 2016
3. "New Opportunity in Medical Image Analysis", Xidian University, Xian, China, 2016
4. "New Opportunity in Medical Image Analysis", Fourth Military Medical University, Xian, China, 2016
5. "Spine Image Analysis", Anhui University, Hefei, China, 2016
6. "Spine Image Analysis", Third Medical Image Computing in China, Guangzhou, China, 2016
7. "Spinal Image Analysis", Arthritis Program Monthly Research Rounds, Toronto, Canada, 2016
8. "Spinal Image Analysis", Keynote at the 3rd annual McCaig Conference on MSK disorders, Calgary University, 2016
9. “Big Medical Data”, Case Western Reserve University, 2016
Click here for more Invited Talks
10. “New Opportunity in Medical Image Analysis”, Chinese University of Hong Kong, Hong Kong, China, 2015
11. “New Opportunity in Medical Image Analysis”, Zhejiang University, Zhejiang, China, 2015
12. “New Opportunity in Medical Image Analysis”, Southern Medical University, Guangzhou, China, 2015
13. “New Opportunity in Medical Image Analysis”, Nagoya University, Japan, 2015
14. “New Opportunity in Medical Image Analysis”, Gifu University, Japan, 2015
15. “New Opportunity in Medical Image Analysis”, Nara Institute of Science and Technology (NAIST), Japan, 2015
16. "Think Big in Medical Image Analysis”, University of Bern, Switzerland, 2015
17. "Toward Medical Image Analysis without Segmentation”, Soochow University, China, 2015
18. "Toward Medical Image Analysis without Segmentation”, Technische Universität München, Germany, 2015
19. “Image Centered Analytics in Big Medical Data”, Queen’s University, 2015
20. “Big Medical Data”, University of Washington, 2015
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Recent Selected Publications
1. Bin Gu, Victor S. Sheng, Keng Yeow Tay, Walter Romano, and Shuo Li, Cross Validation Through Two-dimensional Solution Surface for Cost-Sensitive SVM,IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Online, 2016
2. Yunliang Cai, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li, Unsupervised Freeview Groupwise Cardiac Segmentation using Synchronized Spectral Network,IEEE Transaction on Medical Imaging (TMI), Online, 2016
3. Guoyan Zheng, Chengwen Chu, Bulat Ibragimov, Robert Korez, Tomaz Vrtovec, Hugo Hutt, Richard Everson, Judith Meakin, Isabel Lsopez Andrade, Ben Glocker, Hao Chen, Qi Dou, Pheng-Ann Heng, Chunliang Wang, Daniel Forsberg, Ales Neubert, Jurgen Fripp, Martin Urschler, Darko Stern, Maria Wimmer, Alexey A. Novikov, Daniel L. Belavy, Hui Cheng, Gabriele Armbrecht, Dieter Felsenberg, and Shuo Li, Evaluation and Comparison of 3D Intervertebral Disc Localization and Segmentation Methods for 3D T2 MR Data: A Grand Challenge. Medical Image Analysis (MedIA), Vol. 35, 327-344, January 2016
4. Xiantong Zhen, Mousumi Bhaduri, Ilanit Ben Nachum, David Laidley, Shuo Li, Multi-Task Shape Regression for General Medical Image Segmentation, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Athens, Greece, 2016
5. Zhifan Gao, Huahua Xiong, Yuanyuan Sun, Xin Liu, Heye Zhang, Yaoqin Xie, Dhanjoo Ghista, Wanqing Wu, Yanjie Li, Shuo Li, Carotid Artery Wall Motion Estimated from Ultrasound Imaging Sequences Using a Nonlinear State Space Approach, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Athens, Greece, 2016
6. Shuo Li, Andrea Lum, Gary Brahm, Ilanit Ben Nachum, Manas Sharma, Olga Shmuilovich, James Warrington, A Bag-of-Shapes Descriptor for Medical Imaging, The 23rd IEEE International Conference on Image Processing (ICIP), Phoenix Convention Centre, Phoenix, Arizona, USA, September 25 - 28, 2016.
7. Xiantong Zhen, Ali Islam, M. Bhaduri, Ian Chan and Shuo Li, Descriptor Learning via Supervised Manifold Regularization for Multi-output Regression, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Online, 2016
8. Yunliang Cai, Mark Landis, David T.Laidley, Anat Kornecki, Andrea Lum, Shuo Li, Multi-Modal Vertebrae Recognition using Transformed Deep Convolution Network, Computerized Medical Imaging and Graphics (CMIG), Online. 2016
9. Shuo Li, Jianhua Yao, and Nassir Navab, Guest Editorial: Special Issue on Spine Imaging, Image-Based Modeling, and Image Guided Intervention, IEEE Transactions on Medical Imaging (TMI), Vol 34, No. 8, August 2015
10. Guoyan Zheng and Shuo Li, Medical Image Computing in Diagnosis and Intervention of Spinal Diseases, (invited) Computerized Medical Imaging and Graphics (CMIG), Vol. 45, 2015
11. Kumaradevan Punithakumara, Ismail Ben Ayed, Mariam Afshin, Aashish Goela, Ali Islam, Shuo Li, Pierre Boulanger, Harald Becher, Michelle Noga, Detecting Left Ventricular Impaired Relaxation in Cardiac MRI using Moving Mesh Correspondences, Computer Methods and Programs in Biomedicine, Online. 2016
12. Jianhua Yao, Joseph E. Burns, Daniel Forsberg, Alexander Seitel, Abtin Rasoulian, Purang Abolmaesumi, Kerstin Hammernik, Martin Urschler, Bulat Ibragimov, Robert Korez, Tomaž Vrtovec, Isaac Castro-Mateos, Jose M. Pozo, Alejandro F. Frangi, Ronald M. Summers, Shuo Li, A Multi-center Milestone Study of Clinical Vertebral CT Segmentation, Computerized Medical Imaging and Graphics, 2016
13. Yunliang Cai, Ali Islam, Mousumi Bhaduri, Ian Chan and Shuo Li, Unsupervised Free-view Groupwise Segmentation for M3 Cardiac Images using Synchronized Spectral Network, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Munich, Germany, 2015
14. Xiantong Zhen, Ali Islam, Mousumi Bhaduri, Ian Chan and Shuo Li, Direct and Simultaneous Four-Chamber Volume Estimation by Multi-Output Regression, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Munich, Germany, 2015
15. Bin Gu, Victor S. Sheng, Shuo Li, Bi-Parameter Space Partition for Cost-Sensitive SVM, International Joint Conferences on Artificial Intelligence (IJCAI) 3532-3539, Buenos Aires, Argentina, 2015
16. Xiantong Zhen, Zhijie Wang, Mengyang Yu and Shuo Li, Supervised Descriptor Learning for Multi-Output Regression, Computer Vision and Pattern Recognition (CVPR), Boston, United States, 2015
17. Xiaoxu He, Jaron Chong, Said Osman, Manas Sharma, Mark Landis, Shuo Li, Automated delineation of neural foramina from spine images, Annual Meeting of Radiological Society of North America (RSNA), Chicago, U.S.A, 2015
18. Bin Gu, Victor S. Sheng, Zhijie Wang, Derek Ho, Said Osman, and Shuo Li, Incremental Learning for v-support Vector Regression, Neural Networks, In Press, Online, 2015 BibTex
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19. Xiantong Zhen, Zhijie Wang, Ali Islam, M. Bhaduri, Ian Chan and Shuo Li, Multi-Scale Deep Networks and Regression Forests for Direct Bi-ventricular Volume Estimation, Medical Image Analysis (MedIA) , Vol. 30, 2015
20. Yunliang Cai, Sid Osman, Manas Sharma, Mark Landis, and Shuo Li, Multi-Modality Vertebra Recognition in Arbitrary Views using 3D Deformable Hierarchical Model, IEEE Transaction on Medical Imaging (TMI), Vol. 34, Issue 8, Pages 1676-1693, 2015
21. Zhijie Wang, Xiantong Zhen, KengYeow Tay, Said Osman, Walt Romano, Shuo Li, Regression Segmentation for M3 Spine Segmentation, IEEE Transaction on Medical Imaging (TMI), Vol. 34, Issue 8, Pages 1640-1648, 2015
22. Ismail Ben Ayed, Kumaradevan Punithakumar, Shuo Li, Distribution Matching with the Bhattacharyya Similarity: a Bound Optimization Framework, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 37, Issue 9, Pages 1777-1791, 2015
23. Zhijie Wang, Mohamed Ben Salah, Bin Gu, Ali Islam, Aashish Goela, Shuo Li, "Direct Estimation of Cardiac Biventricular Volumes With an Adapted Bayesian Formulation", IEEE Trans. Biomed. Engineering, Vol. 61, Issue 4, Pages 1251-1260, 2014, BibTex
24. Bin Gu, Victor Sheng, Kengyeow Tay, Walter Romano, Shuo Li, Incremental Support Vector Learning for Ordinal Regression, IEEE Transactions on Neural Networks and Learning Systems, 26(7): 1403-1416, 2014
25. Xiantong Zhen, Zhijie Wang, Ali Islam, M. Bhaduri, Ian Chan and Shuo Li,A Comparative Study of Methods for Cardiac Ventricular Volume Estimation, Accepted by 100th Annual Meeting of Radiological Society of North America, Chicago, U.S.A., 2014
26. Xiantong Zhen, Zhijie Wang, Ali Islam, M. Bhaduri, Ian Chan and Shuo Li, Direct Estimation of Cardiac Bi-ventricular Volumes with Regression Forests, Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2014: 586-593, Boston, U.S.A., 2014
27. Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max Law, Ali Islam, Aashish Goela, Terry Peters and Shuo Li, Regional Assessment of Cardiac Left Ventricular Myocardial Function via MRI Statistical Features. IEEE Transaction on Medical Imaging (TMI), Vol 33, No.2, February 2014 BibTex
28. Max W.K. Law, Gregory Garvin, Sudhakar Tummala, KengYeow Tay, Andrew Leung, and Shuo Li, Gradient Competition Anisotropy for Centerline Extraction and Segmentation of Spinal Cords, Information Processing in Medical Imaging (IPMI), Vol 7917, pp 49-61, Asilomar, California, 2013. BibTex
29. Brandon Miles, Ismail Ben Ayed, Max W. K. Law, Greg Garvin, Aaron Fenster and Shuo Li, Spine Image Fusion via Graph Cuts, IEEE Transactions on Biomedical Engineering (TBME), Vol 60, Issue 7, pp 1841 - 1850, Online, 2013. BibTex
30. Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Aashish Goela, Ian G. Ross, Jaron Chong, Shuo Li, Regional Heart Motion Abnormality Detection: An Information Theoretic Approach, Medical Image Analysis, Vol: 17, Issue 3, In Press, 2013. BibTex
31. Kumaradevan Punithakumar, Jing Yuan, Ismail Ben Ayed, Yuri Boykov, and Shuo Li, A Convex Max-Flow Approach to Distribution Based Figure-Ground Separation, SIAM Journal on Imaging Sciences, Volume 5, Issue 4, 2012.
32. Max W.K. Law, KengYeow Tay, Andrew Leung, Gregory Garvin, and Shuo Li, Intervertebral Disc Segmentation in MR Images Using Anisotropic Oriented Flux, Medical Image Analysis, Volume 17, Issue 1, PP:43-61, January 2013. BibTex
33. Max W.K. Law, KengYeow Tay, Andrew Leung, Gregory Garvin, and Shuo Li, Dilated Divergence based Scale-Space Representation for Curve Analysis, European Conference on Computer Vision (ECCV), Firenze, Italy, pp:557-571, 2012. BibTex
34. Mariam Afshin, Ismail Ben Ayed, Ali Islam, Aashish Goela, Ian G. Ross, Terry M. Peters and Shuo Li, Global Assessment of Cardiac Function using Image Statistics in MRI, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Vol 7511, pp 535-543, Nice, France, 2012. BibTex
35. Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Aashish Goela and Shuo Li, Regional Heart Motion Abnormality Detection via Multiview Fusion , Medical Image Computing and Computer-Assisted Intervention (MICCAI), Vol 7511, pp 527-534, Nice, France, 2012. BibTex
36. Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punithakumar, Ian Ross, and Shuo Li, Max-Flow Segmentation of the Left Ventricle by Recovering Subject-Specific Distributions via a Bound of the Bhattacharyya Measure, Medical Image Analysis, Vol:16, Issue 1, pp: 87-100, Jan. 2012. BibTex
37. Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max W. K. Law, Ali Islam,Aashish Goela, Ian G. Ross, Terry M. Peters and Shuo Li, Assessment of Regional Myocardial Function via Statistical Features in MR Images, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Vol 6893, pp.107-114, Toronto, 2011. BibTex
38. Ismail Ben Ayed, Kumaradevan Punithakumar, Gregory Garvin, Walter Romano, and Shuo Li, Graph Cuts with Invariant Object-Interaction Priors: Application to Intervertebral Disc Segmentation, 22nd International Conference on Information Processing in Medical Imaging (IPMI), Vol 6801, pp:171-183, Monastery Irsee, Germany, 2011. BibTex
39. Mohammad Saleh Nambakhsh, Jing Yuan, Ismail Ben Ayed, Kumaradevan Punithakumar, Aashish Goela, Ali Islam, Terry Peters, and Shuo Li, A Convex Max-Flow Segmentation of LV using Subject-Specific Distributions on Cardiac MRI, 22nd International Conference on Information Processing in Medical Imaging (IPMI), Vol 6801, pp:221-232, Monastery Irsee, Germany, 2011. BibTex
40. Hua-Mei Chen, Greg Garvin, Aashish Goela and Shuo Li, A Parameterization of Deformation Fields for Diffeomorphic Image Registration and Its Application to Myocardial Delineation , Medical Image Computing and Computer-Assisted Intervention(MICCAI), Vol 6361, pp.340-348, Beijing, 2010. BibTex
41. Kumaradevan Punithakumar, Ismail Ben Ayed, Ian Ross, Ali Islam and Shuo Li, Regional Heart Motion Abnormality Detection via Information Measures and Unscented Kalman Filtering, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Vol 6361, pp.409-417, Beijing, 2010. BibTex
42. Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punithakumar, Ian Ross and Shuo Li, Graph Cut Segmentation with a Global Constraint: Recovering Region Distribution via a Bound of the Bhattacharyya Measure. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, USA. June 13-18,2010. BibTex
43. Ismail Ben Ayed, Amar Mitiche, Mohamed Ben Salah, and Shuo Li, Finding Image Distributions on Active Curves. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, USA. June 13-18, 2010. BibTex
44. Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian Ross, Jaron Chong and Shuo Li, Detection of Left Ventricular Motion Abnormality via Information Measures and Bayesian Filtering, IEEE Transactions on Information Technology in BioMedicine(TITB), Vol. 14, NO. 4, pp.1106-1113, 2010. BibTex
45. Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian Ross and Shuo Li, Tracking Endocardial Motion Via Multiple Model Filtering, IEEE Transactions on Biomedical Engineering (TBME), Vol. 57, NO.8, pp.2001-2010, 2010. BibTex
46. Ismail Ben Ayed, Shuo Li and Ian Ross, Embedding Overlap Priors in Variational Left Ventricle Tracking, IEEE Transactions on Medical Imaging (TMI), Vol. 28, No. 12, pp. 1902 - 1913, 2009. BibTex
47. Ismail Ben Ayed, Shuo Li and Ian Ross, A Statistical Overlap Prior for Variational Image Segmentation, International Journal of Computer Vision (IJCV), Vol. 85, No. 1, pp. 115 -- 132, 2009. BibTex
48. Ismail Ben Ayed, Shuo Li, Ian Ross and Ali Islam, Myocardium tracking via matching distributions, International Journal of Computer Assisted Radiology and Surgery, Vol: 4, Issue: 1, pp:37-44, 2009. BibTex
49. Ismail Ben Ayed, Shuo Li, Ian Ross, Level Set Image Segmentation with a Statistical Overlap Constraint, 21st International Conference on Information Processing in Medical Imaging (IPMI), pp: 589-601, Williamsburg, VA, USA, 2009. BibTex
50. Kumaradevan Punithakumar, Ismail Ben Ayed, Ian Ross and Ali Islam, Shuo Li, Tracking endocardial boundary and motion via graph cut distribution matching and multiple model filtering, The Ninth Asian Conference on Computer Vision (ACCV), Xi'an, China, 2009. BibTex
51. Kumaradevan Punithakumar, Shuo Li, Ismail Ben Ayed, Ian Ross and Ali Islam, Heart Motion Abnormality Detection via Information Measure and Bayesian Filtering , Medical Image Computing and Computer-Assisted Intervention (MICCAI), Volume 1,pp: 373-380, London, UK, 2009. BibTex
52. Ismail Ben Ayed, Kumaradevan Punithakumar, Shuo Li, Ian Ross, Jaron Chong, Graph Cut Kernel Tracking of the Left Ventricle , Medical Image Computing and Computer-Assisted Intervention (MICCAI), Volume 1, pp: 901-909, London, UK, 2009. BibTex
53. Ismail Ben Ayed, Yingli Lu, Shuo Li, Ian Ross, Left Ventricle Tracking Using Overlap Priors, Medical Image Computing and Computer-Assisted Intervention (MICCAI), New York, NY, USA, September 6-10, 2008, Volume 1, 1025-1033. 2008. BibTex
54. Ismail Ben Ayed, Shuo Li, and Ian Ross, Tracking distributions with an overlap prior, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, USA, June 24-26, 2008. BibTex
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Intellectual Property
Patents
Primary Inventor
1. Shuo Li .Walter Romano, Kengyeow Tray, Said Osman, Systems and methods for a predictive intervertebral disc degeneration detection engine, Application Number: #61/925755, Filed: 2014.
2. Shuo Li, Ian Ross, Richard Rankin, Methods and apparatus to process left-ventricle cardiac images, Publication Numbers: US8229192 B2, CN102177527A, US20100040270, WO2010019334A1, Publication Date: Jul 24, 2012. http://www.google.com/patents/US8229192
3. Shuo Li, Prakash Mahesh, Dave Roeder, Ian Ross, Systems and methods for computer aided analysis of images, Publication Numbers: US8121364 B2, US8224052, US20090316964, US20120106823, Publication Date: Feb 21, 2012. http://www.google.ca/patents/US8121364
4. Shuo Li, Ismail Ben Ayed, Ian Ross, Richard Rankin, Systems and methods for tracking images, Publication Numbers: US8144930 B2, US20100135529, Publication Date: Mar 27, 2012. http://www.google.com/patents/US8144930
5. Shuo Li, Prakash Mahesh, Dave Roeder, Richard Rankin, System and method for image based multiple-modality cardiac image alignment, Publication Numbers: US8165361 B2, US8639060, US20090180675, US20120170823, Publication Date: Apr 24, 2012.
http://www.google.com/patents/US8165361
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6. Shou Li, Prakash Mahesh, Dave Roeder, Greg Garvin, System and method for image registration, Publication Numbers: US8009886 B2, US20090175522, Publication Date: Aug 30, 2011.
http://www.google.com/patents/US8009886
7. Shou Li, Sukhdeep Gill, Dave Roeder, Prakash Mahesh, Machine learning based triple region segmentation framework using level set on PACS, Publication Numbers: US8073253 B2, US20080080768, Publication Date: Dec 6, 2011.
https://www.google.com/patents/US8073253
8. Shou Li, Sukhdeep Gill, Prakash Mahesh, Dave Roeder, System and method for computer aided septal defect diagnosis and surgery framework, Publication Numbers: US8700126 B2, CA2618249A1, US20080171933, Publication Date: Apr 15, 2014.
http://www.google.com/patents/US8700126
Co-inventor
1. S Zhijie Wang, Ali Islam, Aashish Goela, and Shuo Li,Methods and apparatus to estimate ventricular volumes, Filed: 2014-04-15.
2. Kumaradevan Punithakumar, Shuo Li, Ismail Ben Ayed, Ian Ross, Ali Islam, Richard Rankin, Methods, apparatus and articles of manufacture to track endocardial motion, Publication Numbers: US8811705 B2, US8478012, US20110064284, US20110064290, US20130251210, Publication Date: Aug 19, 2014.
https://www.google.com/patents/US8811705
3. Kumaradevan Punithakumar, Shuo Li, Ismail Ben Ayed, Ian Ross, Ali Islam, Richard Rankin, Methods, apparatus and articles of manufacture to process cardiac images to detect heart motion abnormalities, Publication Numbers: US8478012 B2, US8811705, US20110064284, US20110064290, US20130251210, Publication Date: Jul 2, 2013.
https://www.google.com/patents/US8478012
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Post-doctoral Fellows http://digitalimaginggroup.ca/opportunity.php
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Contact
Office Phone 519-646-6000 (ext. 64624)
Email
Post 268 Grosvenor St., Room #E5-137, SJHC, London, Ontario, N6A 4V2, Canada