Dr. Shuo Li, Ph.D

shuo Affiliation
Founding 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. MICCAI Young Scientist Award 2017 (First author: Wufeng Xue)
2. Annual Award for Academic Excellence in Research, Department of Medical Imaging, Western University, 2017
3. Country Present Award, RSNA, 2014
4. Above & Beyond Award, GE, 2014
5. Above & Beyond Bronze Award, GE, 2012
6. Innovation award, GE, 2009
7. GE Hero award, GE, 2008
8. Management award, GE, 2008
9. Innovation award, GE, 2008
10. 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, Gabor Szekely, Statistical Shape and Deformation Analysis 1st Edition, Paperback ISBN: 9780128104934 Imprint: Academic Press Published Date: 30th March 2017
2. Guoyan Zheng, Shuo Li, Computational Radiology for Orthopaedic Interventions, series: LNCVB, Vol. 23, ISBN 978-3-319-23481-6, Springer, 2016
3. Fei Gao, Kuangyu Shi, and Shuo Li, Computational Methods for Molecular Imaging, series: LNCVB, Vol.22, ISBN 978-3-319-18430-2, Springer, 2016
4. 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
5. Shuo Li, Jianhua Yao, "Spine Imaging and Image Analysis", series: LNCVB, Vol. 524, p. 261, ISBN 978-3-319-12508-4, Springer 2015
6. 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
7. 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
8. 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. "Innovative Machine Learning for Medical Data Analytics", Beijing Normal University, China, 2018
2. "Innovative Machine Learning for Medical Data Analytics", Beihang University, China, 2018
3. "Innovative Machine Learning for Medical Data Analytics", Beijing Institute of Technology, China, 2018
4. "Innovative Machine Learning for Medical Data Analytics", Institute of Automation, Chinese Academy of Sciences, China, 2018
5. "Innovative Machine Learning for Medical Data Analytics", Harbin Institute of Technology, China, 2018
6. "Innovative Machine Learning for Medical Data Analytics", Southeast University, China, 2018
7. "Innovative Machine Learning for Medical Data Analytics", Shanghai Cancer Hospital, China, 2018
8. "Innovative Machine Learning for Medical Data Analytics", Shanghai University, China, 2018
9. "Innovative Machine Learning for Medical Data Analytics", Anhui University, China, 2018
10. "Innovative Machine Learning for Medical Data Analytics", Central South University, China, 2018
Click here for more Invited Talks
11. "Innovative Machine Learning for Medical Data Analytics", Taiyuan University of Technology, China, 2018
12. "Innovative Machine Learning for Medical Data Analytics", The University of Texas Southwestern Medical Center, US, 2018
13. "Innovative Machine Learning for Medical Data Analytics", Nanyang Technological University, Singapore, 2018
14. "Artificial Intelligence in Medical Imaging", Invited speaker at London Imaging Discovery, London, Canada, 2018
15. "Innovative Machine Learning for Medical Data Analytics", the University of British Coloumbia, Vancuvoer, Canada, 2018
16. "Innovative Machine Learning for Medical Data Analytics", New York University, New York City, US, 2018
17. "Artificial Intelligence in Medical Imaging", keynote speaker at CVIS 2017, Waterloo, Canada, 2017
18. "Deep Learning in Medical Image Analysis", Anhui University, Hefei, China, 2017
19. "New Opportunity in Medical Image Analysis", Tsinghua University, Beijing, China, 2017
20. "New Opportunity in Medical Image Analysis", Institute of Automation, Chinese Academy of Sciences, Beijing, China, 2017
21. "New Opportunity in Medical Image Analysis", Shanghai Jiaotong University, Shanghai, China, 2017
22. "New Opportunity in Medical Image Analysis", Waterloo University, Waterloo, Canada, 2016
23. "New Opportunity in Medical Image Analysis", Soochow University, Suzhou, China, 2016
24. "New Opportunity in Medical Image Analysis", Xidian University, Xian, China, 2016
25. "New Opportunity in Medical Image Analysis", Fourth Military Medical University, Xian, China, 2016
26. "Spine Image Analysis", Anhui University, Hefei, China, 2016
27. "Spine Image Analysis", Third Medical Image Computing in China, Guangzhou, China, 2016
28. "Spinal Image Analysis", Arthritis Program Monthly Research Rounds, Toronto, Canada, 2016
29. "Spinal Image Analysis", Keynote at the 3rd annual McCaig Conference on MSK disorders, Calgary University, 2016
30. “Big Medical Data”, Case Western Reserve University, 2016
18. “New Opportunity in Medical Image Analysis”, Chinese University of Hong Kong, Hong Kong, China, 2015
19. “New Opportunity in Medical Image Analysis”, Zhejiang University, Zhejiang, China, 2015
20. “New Opportunity in Medical Image Analysis”, Southern Medical University, Guangzhou, China, 2015
21. “New Opportunity in Medical Image Analysis”, Nagoya University, Japan, 2015
22. “New Opportunity in Medical Image Analysis”, Gifu University, Japan, 2015
23. “New Opportunity in Medical Image Analysis”, Nara Institute of Science and Technology (NAIST), Japan, 2015
24. "Think Big in Medical Image Analysis”, University of Bern, Switzerland, 2015
25. "Toward Medical Image Analysis without Segmentation”, Soochow University, China, 2015
26. "Toward Medical Image Analysis without Segmentation”, Technische Universität München, Germany, 2015
27. “Image Centered Analytics in Big Medical Data”, Queen’s University, 2015
20. “Big Medical Data”, University of Washington, 2015
Click here to hide Invited Talks
Recent Selected Publications
1. Xiuquan Du, Renjun Tang, Susu Yin, Yanping Zhang, Shuo Li, Direct Segmentation-based Full Quantification for Left Ventricle via Deep Multi-task Regression Learning Network, IEEE Journal of Biomedical and Health Informatics, In Press, Online Available. 2019
2. Rongchang Zhao, Wangmin Liao, Beiji Zou, Zailiang Chen, Shuo Li, Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis, The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, Hawaii, USA,2019
3. Zhongyi Han, Benzheng Wei, Ashley Mercado, Stephanie Leung, Shuo Li, Spine-GAN: Semantic Segmentation of Multiple Spinal Structures, Medical Image Analysis (MedIA), In Press, Online Available, 2018
4. Chenchu Xu, Heye Zhang, Shuo Li, Direct Delineation of Myocardial Infarction without Contrast Agents using a Joint motion Feature Learning Architecture, Medical Image Analysis (MedIA), In Press, Online Available, 2018.
5. Wenbo Sun, Zhao Ruan, Xuan Dai, Sirui Li, Shuo Li, Jianjian Zhang, Jincao Chen, Heye Zhang, Heye Zhang, Haibo Xu, Quantifying Hemodynamics Changes in Moyamoya Disease Based on 2D Cine Phase-Contrast MRI and Computational Fluid Dynamics, World Neurosurgery, In Press, Online Available, 2018.
6. Shumao Pang, Qianjing Feng, Stephanie Leung, Ilanit Ben Nachum, and Shuo Li, Direct Automated Quantitative Measurement of Spine via Cascade Amplier Regression Network, 21th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain, 2018
7. Zhongyi Han, Benzheng Wei, and Shuo Li, Towards Automatic Report Generation in Spine Radiology using Weakly Supervised Framework, 21th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain, 2018
8. Suyu Dong, Gongning Luo, Kuanquan Wang, Shaodong Cao, Henggui Zhang, and Shuo Li, VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-voxel Discrimination, 21th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain, 2018
9. Wufeng Xue, Gary Brahm, Stephanie Leung, Ogla Shmuilovich, and Shuo Li, Cardiac Motion Scoring with Segment- and Subject-level Non-Local Modeling, 21th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain, 2018
10. Sitong Wu, Zhifan Gao, Jianwen Luo, Zhi Liu, Heye Zhang and Shuo Li, Direct Reconstruction of Ultrasound Elastography Using an End-to-End Deep Neural Network, 21th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain, 2018
11. Min Li, Shizhong Dong, Kun Zhang, Zhifan Gao, Xi Wu, Heye Zhang, Guang Yang, Shuo Li, Deep Learning intra-image and inter-images features for Co-saliency detection. British Machine Vision Conference, Newcastle, UK, 2018
12. Shizhong Dong, Zhifan Gao, Shanhui Sun, Xin Wang, Ming Li, Heye Zhang, Guang Yang, Huafeng Liu, Shuo Li, Holistic and Deep Feature Pyramids for Saliency Detection. British Machine Vision Conference, Newcastle, UK, 2018
13. Zongqing Ma, Xi Wu, Shanhui Sun, Chaoyang Xia, Zhipeng Yang, Shuo Li, Jiliu Zhou, A Discriminative Learning Based Approach for Automated Nasopharyngeal Carcinoma Segmentation Leveraging Multi-Modality Similarity Metric Learning, IEEE International Symposium on Biomedical Imaging (ISBI), Washington DC,USA, 2018
14. Chenchu Xu, Heye Zhang, Lei Xu, Gary Brahm, and Shuo Li, MuTGAN: Simultaneous Segmentation and Quantification of Myocardial Infarction without Contrast Agents via Joint Adversarial Learning, 21th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain, 2018
15. Jun Chen, Heye Zhang, Weiwei Zhang, Xiuquan Du, Yanping Zhang, and Shuo Li (2018), Correlated Regression Feature Learning for Automated Right Ventricle Segmentation, IEEE Journal of Translational Engineering in Health and Medicine, In Press, Online Available.
16. Hongbo Wu, Chris Bailey, Parham Rasoulinejad, Shuo Li, Automated Comprehensive Adolescent Idiopathic Scoliosis Assessment using MVC-Net, Medical Image Analysis (MedIA), In Press, Online Available. 2018
17. Wufeng Xue, Gary Brahm, Sachin Pandey, Stephanie Leung, Shuo Li (2018), Full Left Ventricle Quantification via Deep Multitask Relationships Learning, Medical Image Analysis (MedIA), 43: 54-65.
18. Bin Gu, Yingying Shan, Victor S. Sheng, Shuo Li (2018), Sparse Regression with Output Correlation for Cardiac Ejection Fraction Estimation, Information Sciences, 423: 303-312.
19. Zhongyi Han, Benzheng Wei, Stephanie Leung, Ilanit Ben Nachum, David Laidley, and Shuo Li, Automated Pathogenesis-based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning, Neuroinformatics, In Press, Online Available. 2018
20. Xiaoxu He, Stephanie Leung, James Warrington, Olga Shmuilovich, and Shuo Li, Automated Neural Foraminal Stenosis Grading via Task-aware Structural Representation Learning. Neurocomputing, In Press, Online Available. 2018
21. Shen Zhao, Zhifan Gao, Heye Zhang, Yaoqin Xie, Dhanjoo Ghista, Zhongong Wei, Xiaojun Bi, Huahua Xiong, Chenchu Xu, Shuo Li, Robust Segmentation of Intima-Media Borders with Di erent Morphologies and Dynamics During the Cardiac Cycle. IEEE Journal of Biomedical and Health Informatics (J-BHI), In Press, Online Available, 2018.
22. Xiuquan Du, Weiwei Zhang, Heye Zhang, Jun Chen, Yanping Zhang, James Claude Warrington, Gary Brahm, and Shuo Li, Deep Regression Segmentation for Cardiac Bi-ventricle MR Images, IEEE Access, In Press, Online Available. 2018.
Click here for more publications
23. Zhifan Gao, Yanjie Li, Yuanyuan Sun, Jiayuan Yang, Huahua Xiong, Heye Zhang, Xin Liu, Wanqing Wu, Dong Liang and Shuo Li (2017), Motion Tracking of the Carotid Artery Wall Motion From the Ultrasound Image Sequences: a Nonlinear State-space Approach, IEEE Transaction on Medical Imaging (TMI), 37: 273-283.
24. Wufeng Xue, Ali Islam, Mousumi Bhaduri, and Shuo Li (2017), Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning, IEEE Transaction on Medical Imaging (TMI), 36:2057-2067.
25 Wufeng Xue, Andrea Lum, Ashley Mercado, Mark Landis, James Warrington, and Shuo Li, Full Quantification of Left Ventricle via Deep Multitask Learning Network Respecting Intra- and Inter-Task Relatedness, 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Quebec City, Canada. 2017
26. Chenchu Xu, Lei Xu, Zhifan Gao, Shen Zhao, Heye Zhang, Yanping Zhang, Xiuquan Du, Shu Zhao, Dhanjoo Ghista, and Shuo Li, Sept. 2017, Direct detection pixel-level myocardial infarction area via deep-learning algorithm, 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Quebec City, Canada. 2017
27. Hongbo Wu, Chris Bailey, Parham Rasoulinejad, and Shuo Li, Sept. 2017, Automatic Landmark Estimation for Adolescent Idiopathic Scoliosis Assessment using BoostNet, 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Quebec City, Canada. 2017
28. Haoliang Sun, Xiantong Zhen, Yilong Yin, and Shuo Li, Learning Deep Match Kernels for Image-Set Classification, Computer Vision and Pattern Recognition (CVPR), Boone, USA, 2017
29. Haoliang Sun, Xiantong Zhen, Chris Bailey, Parham Rasoulinejad, Yilong Yin, and Shuo Li,, Direct Estimation of Spinal Cobb Angles by Structured Multi-Output Regression, The 25th international conference on Information Processing in Medical Imaging (IPMI), Boone, USA, 2017
30. Wufeng Xue, Ilanit Ben Nachum, Sachin Pandey, James Warrington, Stephanie Leung, and Shuo Li, Direct Estimation of Regional Wall Thicknesses via Residual Recurrent Neural Network, The 25th biennial international conference on Information Processing in Medical Imaging (IPMI), Boone, USA, 2017
31. Xiantong Zhen, Mengyang Yu, Xiaofei He, and Shuo Li (2018), Multi-Target Regression via Robust Low-Rank Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 40:497-504.
32. Yunliang Cai, Andrea Lum, Ashley Mercado, Mark Landis, James Warrington, Shuo Li (2017), Unsupervised Shape Discovery using Synchronized Spectral Networks, Pattern Recognition (PR), 69:39-51.
33. Xiantong Zhen, Mengyang Yu, Feng Zheng, Ilanit Ben Nachum, David Laidley and Shuo Li, Multi-Target Sparse Latent Regression, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), In Press. Online, 2017
34. Zhifan Gao, Yanjie Li, Yuanyuan Sun, Jiayuan Yang, Huahua Xiong, Heye Zhang, Xin Liu, Wanqing Wu, Dong Liang and Shuo Li (2017), Robust Estimation of Carotid Artery Wall Motion Using the Elasticity-based State-space Approach, Medical Image Analysis (MedIA), 37:1-21.
35. Chenchu Xu, Zhifan Gao, Yanping Zhang, Heye Zhang, Xiuquan Du, Wanqing Wu, Lin Xu, Jiangming Huang, Huahua Xiong, Guotao Liu, Shuo Li (2017), Beat-to-beat Blood Pressure and Two Dimensional (axial and radial) Motion of the Carotid Artery Wall: Physiological Evaluation of Arterial Stiffness, Scientific Report, Article number: 42254, doi:10.1038/srep42254.
36. Xiantong Zhen, Heye Zhang, Ali Islam, Mousumi Bhaduri, Ian Chan and Shuo Li (2017), Direct and Simultaneous Estimation of Cardiac Four Chamber Volumes by Multioutput Sparse Regression , Medical Image Analysis (MedIA), 36:184-196.
37. Lin Xu, Zekun Cai, Meihua Xiong, Yekuo Li, Guoying Li, Yu Deng, William Kongto Hau, Shuo Li, Wenhua Huang, and Jian Qiu, Efficacy of an early home-based cardiac rehabilitation program for patients after acute myocardial infarction: A three-dimensional speckle tracking echocardiography randomised trial Medicine, Vol. 95, Issue 52, Online Available, 2017
38. Xiaoxu He, Manas Sharma, Gary Brahm, Ashley Mercado, and Shuo Li (2017), Unsupervised Boundary Delineation of Spinal Neural Foramina using A Multi-feature and Adaptive Spectral Segmentation, Medical Image Analysis, 36:22-24.
39. Guotao Liu, Yanping Zhang, Zhenghui Hu, Xiuquan Du, Wanqing Wu, Chenchu Xu, Xiangyang Wang, and Shuo Li, Complexity Analysis of Electroencephalogram Dynamics in Patients with Parkinson’s Disease , Parkinson’s Disease, vol. 2017, Article ID 8701061, 9 pages, 2017.
40. Shengran Su, Zhifan Gao, Heye Zhang, Qiang Lin, William Kongto Hau, Shuo Li, Detection of lumen and media-adventitia borders in IVUS images using sparse auto-encoder neural network, IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 1120 - 1124
41. Liansheng Wang, Shusheng Li, Yiping Chen, Jiankun Lin, Changhua Liu, Xiantong Zeng, Shuo Li, Direct aneurysm volume estimation by multi-view semi-supervised manifold learning, IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 1222 - 1225
42. Bin Gu, Victor S. Sheng, Keng Yeow Tay, Walter Romano, and Shuo Li (2016), Cross Validation Through Two-dimensional Solution Surface for Cost-Sensitive SVM,IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 39:1103-1121.
43. Yunliang Cai, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li (2016), Unsupervised Freeview Groupwise Cardiac Segmentation using Synchronized Spectral Network,IEEE Transaction on Medical Imaging (TMI), 35: 2174-2188.
44. 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
45. Xiaoxu He, Andrea Lum, Manas Sharma, Gary Brahm, Ashley Mercado, Shuo Li (2016), Automated Segmentation and Area Estimation of Neural Foramina with Boundary Regression Model, Pattern Recognition, 63:625-641
46. Xiaoxu He, Yilong Yin, Manas Sharma, Gary Brahm, Ashley Mercado, Shuo Li, Automated Diagnosis of Neural Foraminal Stenosis Using Synchronized Superpixels Representation, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Athens, Greece, 2016
47. 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
48. 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
49. 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.
50. Xiantong Zhen, Ali Islam, M. Bhaduri, Ian Chan and Shuo Li (2016), Descriptor Learning via Supervised Manifold Regularization for Multi-output Regression, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 28: 2035-2047.
51. Yunliang Cai, Mark Landis, David T.Laidley, Anat Kornecki, Andrea Lum, Shuo Li (2016), Multi-Modal Vertebrae Recognition using Transformed Deep Convolution Network, Computerized Medical Imaging and Graphics (CMIG), 51:11-19.
52. Xiaoxu He, Andrea Lum, Manas Sharma, Olga Shmuilovich, Gary Brahm, Shuo Li, First Computer-Aided Diagnosis of Neural Foramina Stenosis, Annual Meeting of Radiological Society Of North America(RSNA), Chicago, Illinois, USA. 2016
53. Liansheng Wang, Shusheng Li, Xiantong Zhen, Changhua Liu, Mousumi Bhaduri, Ashley Mercado, Shuo Li , Clinical Validation of Direct Volume Estimation for Left Atrial Aneurysm, Annual Meeting of Radiological Society Of North America(RSNA), Chicago, Illinois, USA. 2016
54. 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
55. 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
56. Kumaradevan Punithakumara, Ismail Ben Ayed, Mariam Afshin, Aashish Goela, Ali Islam, Shuo Li, Pierre Boulanger, Harald Becher, Michelle Noga (2016), Detecting Left Ventricular Impaired Relaxation in Cardiac MRI using Moving Mesh Correspondences, Computer Methods and Programs in Biomedicine, 124:58-66.
57. 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 (2016), A Multi-center Milestone Study of Clinical Vertebral CT Segmentation, Computerized Medical Imaging and Graphics, 49:16-28.
58. 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
59. 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
60. 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
61. 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
62. 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
63. Bin Gu, Victor S. Sheng, Zhijie Wang, Derek Ho, Said Osman, and Shuo Li (2015), Incremental Learning for v-support Vector Regression, Neural Networks, 67:140-50. BibTex
64. 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
65. 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
66. 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
67. 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
68. 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
69. 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
70. 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
71. 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
72. 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
73. 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
74. 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
75. 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
76. 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.
77. 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
78. 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
79. 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
80. 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
81. 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
82. 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
83. 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
84. 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
85. 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
86. 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
87. 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
88. 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
89. 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
90. 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
91. 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
92. 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
93. 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
94. 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
95. 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
96. 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
97. 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
98. 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
99. 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, Yungliang Cai, Said Osman, Mark Landis, Manas Sharma, Multi-modality vertebra recognition, Application Number: US 14/701,769, Filed. 2015.
2. 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.
3. 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
4. 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
5. 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
6. 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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