Members of DIG

Opportunity

Postdoctoral Fellowship

Dr. Shuo Li, Ph.D

	Affiliation
	Founding Scientific Director Digital Imaging Group (DIG) of London Associate Professor, Dept. of Computer and Data Science, Dept. of Biomedical Engineering, Case Western Reserve University

Research Interests
Artificial Intelligence, Big Data, Machine Learning, Medical Image Analysis.

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Recent Selected Activities
General Chair	- MICCAI 2022 in Singapore

Board of Directors	- MICCAI Society , 2016-2020

Editorial Board	IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020-Present

Editorial Board	Medical Image Analysis (MedIA), 2015-Present

Editorial Board	Computerized Medical Imaging and Graphics (CMIG), 2013-Present

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

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

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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
31.	“New Opportunity in Medical Image Analysis”, Chinese University of Hong Kong, Hong Kong, China, 2015
32.	“New Opportunity in Medical Image Analysis”, Zhejiang University, Zhejiang, China, 2015
33.	“New Opportunity in Medical Image Analysis”, Southern Medical University, Guangzhou, China, 2015
34.	“New Opportunity in Medical Image Analysis”, Nagoya University, Japan, 2015
35.	“New Opportunity in Medical Image Analysis”, Gifu University, Japan, 2015
36.	“New Opportunity in Medical Image Analysis”, Nara Institute of Science and Technology (NAIST), Japan, 2015
37.	"Think Big in Medical Image Analysis”, University of Bern, Switzerland, 2015
38.	"Toward Medical Image Analysis without Segmentation”, Soochow University, China, 2015
39.	"Toward Medical Image Analysis without Segmentation”, Technische Universität München, Germany, 2015
40.	“Image Centered Analytics in Big Medical Data”, Queen’s University, 2015
41.	“Big Medical Data”, University of Washington, 2015

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Recent Selected Publications
1.	Yuting He, Rongjun Ge, Xiaoming Qi, Yang Chen, Jiasong Wu, Jean-Louis Coatrieux, Guanyu Yang, and Shuo Li (2022), Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), In Press, Online Available
2.	Xiaojiao Xiao, Jiankun Chen, and Shuo Li (2022), Task Relevance Driven Adversarial Learning for Simultaneous Detection, Size Grading, and Quantification of Hepatocellular Carcinoma via Integrating Multi-modality MRI. Medical Image Analysis (MedIA), In Press, Online Available
3.	Ranran Zhang, Yankun Cao, Yujun Li, Zhi Liu, Jianye Wang, Jiahuan He, Chaoyang Zhang, Xiaoyv Sui, Pengfei Zhang, Lizhen Cui, and Shuo Li (2022), MVFStain: Multiple virtual functional stain histopathology images generation based on specic domain mapping. Medical Image Analysis (MedIA), In Press, Online Available.
4.	Yashu Liu, Wei Wang, Gongning Luo, Kuanquan Wang, and Shuo Li (2022), A Contrastive Consistency Semi-supervised Left Atrium Segmentation Model. Computerized Medical Imaging and Graphics (CMIG), In Press, Online Available.
5.	Zhenyu Wu, Lin Wang, Wei Wang, Tengfei Shi, Chenglizhao Chen, Aimin Hao, and Shuo Li (2022), Synthetic Data Supervised Salient Object Detection. ACM Multimedia 2022, Lisbon, Portugal
6.	Rongjun Ge, Yuting He, Yang Chen, Shuo Li, and Daoqiang Zhang(2022), DDPNet: A novel dual-domain parallel network for low-dose CT reconstruction. 24rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore
7.	Xiaoming Qi, Guanyu Yang, Yuting He, Wangyan Liu, Ali Islam, and Shuo Li (2022), Contrastive Re-localization and History Distillation in Federated CMR Segmentation. 24rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore
8.	Yuqiang Gao, Guanyu Yang, Xiaoming Qi, Yinsu Zhu, and Shuo Li (2022), SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-Sequence MRI Diagnosis. 24rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore
9.	Jiacheng Shi, Yuting He, Youyong Kong, Juzheng Miao, Jean-Louis Coatrieux, Huazhong Shu, Guanyu Yang, and Shuo Li (2022), Full Transformer for Deformable Image Registration via Cross Attention. 24rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore
10.	Qikui Zhu, Yanqing Wang, Fei Liao, Jiancheng Yang, Lei Yin, and Shuo Li (2022), SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation. 24rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore
11.	Xiangyu Li, Xinjie Liang, Kuanquan Wang, Gongning Luo, Wei Wang, and Shuo Li (2022), ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment. 24rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore
12.	Liang Dong, Liu Jun, Xiaopu He, Kuanquan Wang, Gongning Luo, Wei Wang, and Shuo Li (2022), Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation. 24rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore
13.	Kaini Wang, Yuting He, Shuaishuai Zhuang, Juzheng Miao, Xiaopu He, Ping Zhou, Guanyu Yang, Guangquan Zhou, and Shuo Li (2022), FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification. 24rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore
14.	Chenchu Xu, Dong Zhang, Yuhui Song, Leonardo Kayat Bittencourt, Sree Harsha Tirumani, and Shuo Li (2022), Contrast-free Liver Tumor Detection using Ternary Knowledge Transferred Teacher-student Deep Reinforcement Learning. 24rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore
15.	Yuting He, Rongjun Ge, Jiasong Wu, Jean-Louis Coatrieux, Huazhong Shu, Yang Chen, Guanyu Yang, and Shuo Li (2022), Thin Semantics Enhancement via High-Frequency Priori Rule for Thin Structures Segmentation. IEEE International Conference on Data Mining (ICDM), Virtual
16.	Shen Zhao, Bin Chen, Heyou Chang, Bo Chen, and Shuo Li (2022), Reasoning discriminative dictionary-embedded network for fully automatic vertebrae tumor diagnosis. Medical Image Analysis (MedIA), In Press, Online Available.
17.	Zhangfu Dong, Yuting He, Xiaoming Qi, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Guanyu Yang, and Shuo Li (2022), MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation. The 31st International Joint Conference on Artificial Intelligence (IJCAI-22), Virtual
18.	Yashu Liu, Wei Wang, Gongling Luo, Dong Liang, Kuanquan Wang, and Shuo Li (2022), Uncertainty-Guided Symmetric Multi-Level Supervision Network for 3D Left Atrium Segmentation in Late Gadolinium-Enhanced MRI. Medical Physics, In Press, Online Available.
19.	Xiaoxiao Cui, Yankun Cao, Zhi Liu, Xiaoyu Sui, Jia Mi,Yuezhong Zhang, LiZhen Cui, and Shuo Li (2022), TRSA-Net: Task Relation Spatial co-Attention for Joint Segmentation, Quantification and Uncertainty Estimation on Paired 2D Echocardiography. IEEE Journal of Biomedical and Health Informatics(J-BHI), In Press, Online Available.
20.	Wufeng Xue, Zejian Chen, Tianfu Wang, Shuo Li, and Dong Ni (2022), Regional Cardiac Motion Scoring with Multi-scale Motion-based Spatial Attention. IEEE Journal of Biomedical and Health Informatics(J-BHI), In Press, Online Available.
21.	Xiaoxiao Cui, Pengfei Zhang, Yujun Li, Zhi Liu, Xiaoyan Xiao, Yang Zhang, Longkun Sun, Lizhen Cui, Guang Yang, Shuo Li (2022), MCAL: An Anatomical Knowledge Learning Model for Myocardial Segmentation in 2D Echocardiography. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 69: 1277-1287.
22.	Huazhu Fu, Tao Zhou, Bo Chen, Shuo Li, Alejandro Frangi (2022), Guest Editorial Generative Adversarial Networks in Biomedical Image Computing. IEEE Journal of Biomedical and Health Informatics(J-BHI), In Press, Online Available.
23.	Hao Gong, Jianhua Liu, Bo Chen, Shuo Li (2022), ResAttenGAN: simultaneous segmentation of multiple spinal structures on axial lumbar MRI image using residual attention and adversarial learning. Artificial Intelligence in Medicine, 124: 102243.
24.	Zhenyu Fang, Huimin Zhao, Jinchang Ren, Calum MacLellan, Yong Xia, Shuo Li (2022), SC2Net: A Novel Segmentation-based Classification Network for Detection of COVID-19 in Chest X-ray Images. IEEE Journal of Biomedical and Health Informatics(J-BHI), In Press, Online Available.
25.	Ziqiao Wang, Zhi Liu, Shuo Li (2022), Weak Lesion Feature Extraction by Dual-branch Separation and Enhancement Network for Safe Hemorrhagic Transformation Prediction. Computerized Medical Imaging and Graphics (CMIG), 97: 102038.
26.	Xiuquan Du, Xiaofei Xu, Heng Liu, Shuo Li (2022), Two-Stage Segmentation Network with Feature Aggregation and Multi-Level Attention Mechanism for Multi-Modality Heart Images. Computerized Medical Imaging and Graphics (CMIG), 97: 102054.
27.	Ning Xiao, Wanting Yang, Qiang Yan, Juanjuan Zhao, Rui Hao, Jianhong Lian, Shuo Li (2022), PET and CT Image Fusion of Lung Cancer with Siamese Pyramid Fusion Network. Frontiers in Medicine, 9: 792390.
28.	Rongchang Zhao, Xuanlin Chen, Zailiang Chen, and Shuo Li (2022), Diagnosing glaucoma on imbalanced data with self-ensemble dual-curriculum learning. Medical Image Analysis (MedIA), 75: 102295.
29.	Xiaoming Qi, Yuting He, Guanyu Yang, Yang Chen, Jian Yang, Wangyan Liu, Yinsu Zhu, Yi Xu, Huazhong Shu, Shuo Li (2021), MVSGAN: Spatial-aware Multi-view CMR Fusion for accurate 3D Left Ventricular Myocardium Segmentation. IEEE Journal of Biomedical and Health Informatics(J-BHI), In Press, Online Available.
30.	Rongjun Ge, Yuting He, Cong Xia, Chenchu Xu, Weiya Sun, Guanyu Yang, Junru Li, Zhihua Wang, Huazhong Shu, Hailing Yu, Daoqiang Zhang, Yang Chen, Limin Luo, Shuo Li, Yinsu Zhu (2021), X-CTRSNet: 3D cervical vertebra CT reconstruction and segmentation directly from 2D X-ray images. Knowledge-Based Systems, 236 :107680.

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31.	Jianfeng Zhao, Dengwang Li, Xiaojiao Xiao, Fabio Accorsi, Harry Marshall, Tyler Cossetto, Dongkeun Kim, Daniel McCarthy, Cameron Dawson, Stefan Knezevic, Bo Chen, and Shuo Li (2021), United Adversarial Learning for Liver Tumor Segmentation and Detection of Multi-modality Non-contrast MRI. Medical Image Analysis (MedIA), 73 :102154.
32.	Liansheng Wang, Cong Xie, Yi Lin, Hong-Yu Zhou, Kailin Chen, Dalong Cheng, Florian Dubost, Benjamin Collery, Bidur Khanal, Bishesh Khanal, Rong Tao, Shangliang Xu, Upasana Upadhyay Bharadwaj, Zhusi Zhong, Jie Li, Shuxin Wang, and Shuo Li (2021), Evaluation and Comparison of Accurate Automated Spinal Curvature Estimation Algorithms with Spinal Anterior-posterior X-Ray Images: The AASCE2019 Challenge. Medical Image Analysis (MedIA), 72 : 102115.
33.	Yuting He, Tiantian Li, Rongjun Ge, Jian Yang, Youyong Kong, Huazhong Shu, Guanyu Yang, and Shuo Li, Few-shot Learning for Deformable Medical Image Registration with Perception-Correspondence Decoupling and Reverse Teaching. IEEE Journal of Biomedical and Health Informatics(J-BHI), In Press, Online Available. 2021.
34.	Xiangyu Li, Gongning Luo, Wei Wang, Kuanquan Wang, Yue Gao, and Shuo Li, Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation. IEEE Journal of Biomedical and Health Informatics(J-BHI), In Press, Online Available. 2021.
35.	Xiuquan Du, Xiaofei Xu, Heng Liu, Shuo Li, TSU-net: Two-stage multi-scale cascade and multi-field fusion U-net for right ventricular segmentation. Computerized Medical Imaging and Graphics, In Press, Online Available. 2021.
36.	Guang Yang, Heye Zhang, David Firmin, Shuo Li, Recent Advances in Artificial Intelligence for Cardiac Imaging. Computerized Medical Imaging and Graphics, In Press, Online Available. 2021.
37.	Yuting He, Guanyu Yang, Jian Yang, Rongjun Ge, Youyong Kong, Xiaomei Zhu, Shaobo Zhang, Pengfei Shao, Huazhong Shu, Jean-Louis Dillenseger, Jean-Louis Coatrieux, and Shuo Li, Meta Grayscale Adaptive Network for 3D Integrated Renal Structures Segmentation. Medical Image Analysis (MedIA), In Press, Online Available. 2021.
38.	Liyan Lin, Xi Tao, Wei Yang, Shumao Pang, Zhihai Su, Hai Lu, Shuo Li, Qianjin Feng, and Bo Chen, Quantifying Axial Spine Images Using Object-specific Bi-path Network. IEEE Journal of Biomedical and Health Informatics(J-BHI). In Press, Online Available. 2021.
39.	Chenchu Xu, Zhifan Gao, Dong Zhang, Jinglin Zhang, Lei Xu, and Shuo Li, Applying Cross-modality Data Processing for Infarction Learning in Medical Internet of Things. IEEE Internet of Things Journal, In Press, Online Available. 2021.
40.	Yuting He, Rongjun Ge, Xiaoming Qi, Guanyu Yang, Yang Chen, Youyong Kong, Huazhong Shu, Jean-Louis Coatrieux, and Shuo Li, EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation, 27th International Conference on Information Processing in Medical Imaging (IPMI), Rønne, Denmark. 2021
41.	Chenchu Xu, Zhifan Gao, Heye Zhang, Shuo Li and Victor Hugo C. de Albuquerque, Video salient object detection using dual-stream spatiotemporal attention. Applied Soft Computing Journal, In Press, Online Available. 2021.
42.	Shen Lian, Zhiming Luo, Cheng Feng, Shaozi Li, and Shuo Li, APRIL: Anatomical Prior-guided ReInforcement Learning for Accurate Carotid Lumen Diameter and Intima-media Thickness Measurement. Medical Image Analysis(MedIA), In Press, Online Available. 2021.
43.	Lianyi Wang, Aaron Fenster, and Shuo Li, Thanka Mural Inpainting Based on Multi-scale Adaptive Partial Convolution and Stroke-like Mask. IEEE Transactions on Image Processing (TIP), In Press, Online Available. 2021.
44.	Wufeng Xue, ..., and Shuo Li, Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-ventricular Short-axis Cardiac MR Data. IEEE Journal of Biomedical and Health Informatics (J-BHI), In Press, Online Available. 2021.
45.	Dong Zhang, Chenchu Xu, Jaron Chong, Bo Chen, and Shuo Li, Weakly-Supervised Teacher-Student Network for Liver Tumor Segmentation from Non-enhanced Images. Medical Image Analysis(MedIA), In Press, Online Available. 2021.
46.	Tianling Lyu, Wei Zhao, Yinsu Zhu, Zhan Wu, Yikun Zhang, Yang Chen, Limin Luo, Shuo Li and Lei Xing, Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network. Medical Image Analysis(MedIA), In Press, Online Available. 2021.
47.	Xiuquan Du, Jiajia Hu, and Shuo Li, Use Chou's 5-step rule to predict DNA-protein binding with multi-scale complementary feature. Journal of Proteome Research, In Press, Online Available. 2021.
48.	Chengqian Zhao, Dengwang Li, Cheng Feng, and Shuo Li, OF-UMRN: Uncertainty-guided Multitask Regression Network Aided by Optical Flow for Fully Automated Comprehensive Analysis of Carotid Artery . Medical Image Analysis (MedIA), In Press, Online Available. 2021
49.	Chenchu Xu, Dong Zhang, Jaron Chong, Bo Chen, and Shuo Li, Synthesis of Gadolinium-enhanced Liver Tumors on Nonenhanced Liver MR Images Using Pixel-level Graph Reinforcement Learning. Medical Image Analysis (MedIA), In Press, Online Available. 2021
50.	Shen Zhao, Xi Wu, Bo Chen, and Shuo Li, Automatic Vertebrae Recognition from Arbitrary Spine MRI images by a Category Consistent Self-calibration Detection Framework, Medical Image Analysis(MedIA), In Press, Online Available.
51.	Dong Zhang, Bo Chen, and Shuo Li, Sequential Conditional Reinforcement Learning for Simultaneous Vertebral Body Detection and Segmentation with Modeling the Spine Anatomy, Medical Image Analysis(MedIA), In Press, Online Available.
52.	Zhan Wu, Rongjun Ge, Minli Wen, Gaoshuang Liu, Yang Chen, Pinzheng Zhang, Xiaopu He, Hua Jie, Limin Luo, and Shuo Li, ELNet: Automatic Classification and Segmentation for Esophageal Lesions using Convolutional Neural Network, Medical Image Analysis(MedIA), In Press, Online Available. 2020
53.	Zhongyi Han, Benzheng Wei, Bo Chen, Yilong Yin, and Shuo Li, Unifying Neural Learning and Symbolic Reasoning for Spinal Medical Report Generation, Medical Image Analysis(MedIA), In Press, Online Available. 2020
54.	Dong Zhang, Guang Yang, Shu Zhao, Yangping Zhang, Heye Zhang, Dhanjoo Ghista, and Shuo Li, Direct Quantification of Coronary Artery Stenosis through Hierarchical Attentive Multi-view Learning, IEEE Transaction on Medical Imaging (TMI), In Press, Online Available. 2020
55.	Clara Tam, Dong Zhang, Terry Peters, Bo Chen, and Shuo Li, Holistic Multitask Regression Network for Multiapplication Shape Regression Segmentation, Medical Image Analysis, In Press, Online Available. 2020.
56.	Yuting He, Guanyu Yang, Tiantian Li, Huazhong Shu, Yang Chen, Youyong Kong, Jean-Louis Coatrieux, Jean-Louis Dillenseger, and Shuo Li, Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images, 16th European Conference on Computer Vision (ECCV), Glasgow, United Kingdom. 2020.
57.	Rongchang Zhao, Xuanlin Chen, Zailiang Chen, and Shuo Li, EGDCL: An Adaptive Curriculum Learning Framework for Unbiased Glaucoma Diagnosis, 16th European Conference on Computer Vision (ECCV), Glasgow, United Kingdom. 2020.
58.	Hongrong Wei, Heng Cao, YiQin Cao, Yongjin Zhou, Wufeng Xue, Dong Ni, and Shuo Li, Temporal-consistent Segmentation of Echocardiography with Co-learning from Appearance and Shape, 23rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru. 2020.
59.	Yanan Ruan, Dengwang Li, Harry Marshall, Timothy Miao, Tyler Cossetto, Ian Chan, Omar Daher, Fabio Accorsi, Aashish Goela, and Shuo Li, Mt-UcGan: Multi-task Uncertainty-constrained GAN for Joint Segmentation, Quantification and Uncertainty Estimation of Renal Tumours on CT , 23rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru. 2020.
60.	Jiawei Huang, Haotian Shen, Bo Chen, Yue Wang, and Shuo Li, Segmentation of Paraspinal Muscles at Varied Lumbar Spinal Levels by Explicit Saliency-Aware Learning, 23rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru. 2020.
61.	Heyou Chang, Shen Zhao, Hao Zheng, and Shuo Li, Multi-vertebrae Segmentation from Arbitrary Spine MRI Images Under Global View, 23rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru. 2020.
62.	Shen Zhao, Bin Chen, Heyou Chang, Xi Wu, and Shuo Li, Discriminative Dictionary-embedded Network for Comprehensive Vertebrae Tumour Diagnosis, 23rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru. 2020.
63.	Gongning Luo, Wei Wang, Clara Tam, Kuanquan Wang, Shaodong Cao, Henggui Zhang, Bo Chen, and Shuo Li, Dynamically Constructed Network with Error Correction for Accurate Ventricle Volume Estimation, Medical Image Analysis, In Press, Online Available. 2020.
64.	Yanan Ruan, Dengwang Li, Harry Marshall, Timothy Miao, Tyler Cossetto, Ian Chan, Omar Daher, Fabio Accorsi, Aashish Goela, and Shuo Li, MB-FSGAN: Joint Segmentation and Quantification of Kidney Tumour on CT by the Multi-branch Feature Sharing Generative Adversarial Network, Medical Image Analysis, In Press, Online Available. 2020.
65.	Yuting He, Guanyu Yang, Jian Yang, Yang Chen, Youyong Kong, Jiasong Wu, Lijun Tang, Xiaomei Zhu, Jean-Louis Dillenseger, Pengfei Shao, Shaobo Zhang, Huazhong Shu, Jean-Louis Coatrieux, and Shuo Li, Dense Biased Networks with Deep Priori Anatomy and Hard Region Adaptation: Semi-supervised Learning for Fine Renal Artery Segmentation, Medical Image Analysis, 63:101722. 2020.
66.	Mingchao Li, Yerui Chen, Zexuan Ji, Keren Xie, Songtao Yuan, Qiang Chen, and Shuo Li, 3D to 2D Image Segmentation in OCTA Images, IEEE Transaction on Medical Imaging (TMI), In Press, Online Available. 2020.
67.	Beiji Zou, Zhiyou He, Rongchang Zhao, Chengzhang Zhu, Wangmin Liao, and Shuo Li, Non-rigid Retinal Image Registration using an Unsupervised Structure-driven Regression Network, Neurocomputing, In Press, Online Available. 2020.
68.	Xiuquan Du, Susu Yin, Renjun Tang, Yueguo Liu, Yuhui Song, Yanping Zhang, Heng Liu, and Shuo Li, Segmentation and Visualization of Left Atrium through a Unified Deep Learning Framework, International Journal of Computer Assisted Radiology and Surgery (IJCARS). 2020.
69.	Chengjin Yu, Zhifan Gao, Weiwei Zhang, Guang Yang, Shu Zhao, Heye Zhang, Yanping Zhang, and Shuo Li, Multi-Task Learning for Estimating Multi-Type Cardiac Indices in MRI and CT Based on Adversarial Reverse Mapping, IEEE Transactions on Neural Networks and Learning Systems(TNNLS), In Press, Online Available. 2020.
70.	Xiuquan Du, Yuhui Song, Yueguo Liu, Yanping Zhang, Heng Liu, Bo Chen, and Shuo Li, An integrated deep learning framework for joint segmentation of blood pool and myocardium, Medical Image Analysis, In Press, Online Available. 2020.
71.	Chenchu Xu, Lei Xu, Pavlo Ohorodnyk, Mike Roth, Bo Chen, and Shuo Li, Contrast Agent-free Synthesis and Segmentation of Ischemic Heart Disease Images using Progressive Sequential Causal GANs, Medical Image Analysis, In Press, Online Available. 2020.
72.	Jianfeng Zhao, Dengwang Li, Zahra Kassam, Jaron Chong, Bo Chen, and Shuo Li, Tripartite-GAN: Synthesizing Liver Contrast-Enhanced MRI to Improve Tumor Detection , Medical Image Analysis, In Press, Online Available. 2020.
73.	Hejun Wu, Rong Gao, Yeong Poh Sheng, Bo Chen, and Shuo Li, SDAE-GAN: Enable High-dimensional Pathological Images in Liver Cancer Survival Prediction with a Policy Gradient Based Data Augmentation Method, Medical Image Analysis, In Press, Online Available. 2020.
74.	Guang Yang, Jun Chen, Zhifan Gao, Shuo Li, Hao Ni, Elsa Angelini, Tom Wong, Raad Mohiaddin, Eva Nyktari, Ricardo Wage, Lei Xu, Yanping Zhang, Xiuquan Du, Heye Zhang, David Firmin, and Jennifer Keegan, Simultaneous Left Atrium Anatomy and Scar Segmentations via Deep Learning in Multiview Information with Attention, Future Generation Computer Systems, In Press, Online Available. 2020.
75.	Yanfei Hong, Benzheng Wei, Zhongyi Han, Xiang Li, Yuanjie Zheng, and Shuo Li, MMCL-Net: Spinal Disease Diagnosis in Global Mode using Progressive Multi-task Joint Learning, Neurocomputing, In Press, Online Available. 2020.
76.	Zhiyuan Zhu, Zonglei Zhen, Xia Wu, and Shuo Li, Estimating Functional Connectivity by Integration of Inherent Brain Function Activity Pattern Priors, IEEE/ACM Transactions on Computational Biology and Bioinformatics, In Press, Online Available. 2020.
77.	Guanyu Yang, Tianling Lv, Yunpeng Shen, Shuo Li, Jian Yang, Yang Chen, Huazhong Shu, Limin Luo, and Jean-Louis Coatrieux, Vessel Structure Extraction using Constrained Minimal Path Propagation, Artificial Intelligence in Medicine. 2020.
78.	Kumaradevan Punithakumar, Ismail Ben Ayed, Abraam S. Soliman, Aashish Goela, Ali Islam, Shuo Li, and Michelle Noga, 3D Motion Estimation of Left Ventricular Dynamics Using MRI and Track-to-Track Fusion, IEEE Journal of Translational Engineering in Health and Medicine. 2020.
79.	Bangming Gong, Lu Shen, Cai Chang, Shichong Zhou, Weijun Zhou, Shuo Li, and Jun Shi, Bi-Modal Ultrasound Breast Cancer Diagnosis via Multi-View Deep Neural Network SVM, 2020 IEEE International Symposium on Biomedical Imaging(ISBI), IOWA, USA, February 2020.
80.	Chengqian Zhao, Cheng Feng, Dengwang Li, and Shuo Li, OF-MSRN: Optical Flow-Auxiliary Multi-Task Regression Network for Direct Quantitative Measurement, Segmentation and Motion Estimation, The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York City, USA, February 2020.
81.	Suyu Dong, Gongning Luo, Clara Tam, Wei Wang, Kuanquan Wang, Shaodong Cao, Bo Chen Henggui Zhang, and Shuo Li, Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography, Medical Image Analysis, In Press, Online Available. 2020.
82.	Hejun Wu, Rong Gao, Bo Chen, and Shuo Li, SDAE-GAN: Enable High-dimensional Pathological Images in Liver Cancer Survival Prediction with a Policy Gradient Based Data Augmentation Method, Medical Image Analysis, In Press, Online Available. 2020.
83.	Zhifan Gao, Chenchu Xu, Heye Zhang, Shuo Li, and Victor Hugo C. de Albuquerque, Trustful Internet of Surveillance Things Based on Deeply-Represented Visual Co-Saliency Detection, IEEE Internet of Things Journal, In Press, Online Available. 2020.
84.	Rongjun Ge, Guanyu Yang, Yang Chen, Limin Luo, Cheng Feng, and Shuo Li, K-Net: Integrate Left Ventricle Segmentation and Direct Quantification of Paired Echo Sequence, IEEE Transaction on Medical Imaging (TMI), In Press, Online Available. 2019.
85.	Zhifan Gao, Jonathan Chung, Mohamed Abdelrazek, Stephanie Leung, William Kongto Hau, Zhanchao Xian, Heye Zhang, and Shuo Li, Privileged Modality Distillation for Vessel Border Detection in Intracoronary Imaging, IEEE Transaction on Medical Imaging (TMI), In Press, Online Available. 2019.
86.	Gongning Luo, Suyu Dong, Wei Wang, Kuanquan Wang, Shaodong Cao, Clara Tam, Henggui Zhang, Joanne Howey, Pavlo Ohorodnykd, and Shuo Li, Commensal Correlation Network Between Segmentation and Direct Area Estimation for Bi-ventricle Qualification, Medical Image Analysis, In Press, Online Available. 2019.
87.	Chenchu Xu, Joanne Howey, Pavlo Ohorodnyk, Mike Roth, Heye Zhang, and Shuo Li, Segmentation and Quantification of Infarction without Contrast Agents via Spatiotemporal Generative Adversarial Learning, Medical Image Analysis, In Press, Online Available. 2019.
88.	Rongjun Ge, Guanyu Yang, Yang Chen, Limin Luo, Bo Chen, Cheng Feng, Heye Zhang, and Shuo Li, PV-LVNet: Direct Left Ventricle Multitype Indices Estimation from 2D Echocardiograms of Paired Apical Views with Deep Neural Networks, Medical Image Analysis, In Press, Online Available. 2019.
89.	Rongchang Zhao and Shuo Li, Multi-indices Quantification of Optic Nerve Head in fundus image via Multitask Collaborative Learning, Medical Image Analysis, In Press, Online Available. 2019.
90.	Liansheng Wang, Qiuhao Xu, Stephanie Leung, Jonathan Chung, Bo Chen, and Shuo Li, Accurate Automated Cobb Angles Estimation using Multi-View Extrapolation Net, Medical Image Analysis, In Press, Online Available. 2019.
91.	Zhongyi Han, Hongbo Wu, Benzheng Wei, Yilong Yin, and Shuo Li, Recursive Narrative Alignment for Movie Narrating. Science China Information Sciences, Vol. 63:1-3. 2020.
92.	Rongchang Zhao, Xuanlin Chen, Xiyao Liu, Zailiang Chen, Fan Guo, and Shuo Li, Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-supervised Learning, IEEE Journal of Biomedical and Health Informatics (JBHI), In Press, Online Available. 2019.
93.	Shen Zhao, Xi Wu, Bo Chen, and Shuo Li, Automatic Vertebrae Recognition from Arbitrary Spine MRI images by a Hierarchical Self-calibration Detection Framework, 22th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Shenzhen, China, 2019.
94.	Rongjun Ge, Yang Chen, Limin Luo, Guanyu Yang, and Shuo Li, Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT, 22th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Shenzhen, China, 2019.
95.	Zhifan Gao and Shuo Li, Context-Aware Inductive Bias Learning for Vessel Border Detection in Multi-modal Intracoronary Imaging, 22th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, 2019.
96.	Yuting He, Guanyu Yang, Yang Chen, Youyong Kong, Jiasong Wu, Lijun Tang, Xiaomei Zhu, Jean-Louis Dillenseger, Huazhong Shu, Jean-Louis Coatrieux, Pengfei Shao, Shaobo Zhang, and Shuo Li, DPA-DenseBiasNet: Semi-supervised 3D Fine Renal Artery Segmentation with Dense Biased Network and Deep Priori Anatomy, 22th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Shenzhen, China, 2019.
97.	Rongchang Zhao, Zailiang Chen, Xiyao Liu, Beiji Zou, and Shuo Li, Multi-Index Optic Disc Quantification via MultiTask Ensemble Learning, 22th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, 2019.
98.	Gongning Luo, Suyu Dong, Kuanquan Wang, Dong Zhang, Yue Gao, Xin Chen, Henggui Zhang, and Shuo Li, A Deep Reinforcement Learning Framework for Frame-by-frame Plaque Tracking on Intravascular Optical Coherence Tomography Image, 22th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Shenzhen, China, 2019.
99.	Ming Li, Weiwei Zhang, Guang Yang, Chengjia Wang, Heye Zhang, Huafeng Liu, Wei Zheng, and Shuo Li, Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation, 22th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, 2019.
100.	Shen Zhao, Xi Wu, Bo Chen, and Shuo Li, Automatic spondylolisthesis grading from MRIs across modalities using faster adversarial recognition network, Medical Image Analysis, In Press, Online Available. 2019.
101.	Dong Zhang, Guang Yang, Shu Zhao, Yanping Zhang, Heye Zhang, and Shuo Li, Direct Quantification for Coronary Artery Stenosis Using Multiview Learning, 22th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Shenzhen, China, 2019.
102.	Xiaojiao Xiao, Jarong Chong, Juanjuan Zhao, Yan Qiang, and Shuo Li, Radiomics-guided GAN for Segmentation of Liver Tumor without Contrast Agents, 22th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Shenzhen, China, 2019.
103.	Zhifan Gao, Sitong Wu, Zhi Liu, Jianwen Luo, Heye Zhang, and Shuo Li, Learning the Implicit Strain Reconstruction in Ultrasound Elastography Using Privileged Information, Medical Image Analysis, In Press, Online Available. 2019.
104.	Xiuquan Du, Yanyu Diao, Heng Liu, and Shuo Li, MsDBP: Exploring DNA-binding Proteins by Integrating Multi-scale Sequence Information via Chou’s 5-steps Rule, Journal of Proteome Research, In Press, Online Available. 2019.
105.	Wenji Wang, Yuanquan Wang, Yuwei Wu, Tao Lin, Shuo Li, and Bo Chen, Quantification of Full Left Ventricular metrics via Deep Regression Learning with Contour-guidance, IEEE Access, 7:47918 - 47928, 2019.
106.	Longwei Fang, Zuowei Wang, Zhiqiang Chen, Fengzeng Jian, Shuo Li, and Huiguang He, 3D Shape Reconstruction of Lumbar Vertebra from Two X-ray Images and a CT Model, IEEE/CAA Journal of Automatica Sinica, In Press, Online Available. 2019.
107.	Qing Liu, Xiaopeng Hong, Shuo Li, Zailiang Chen, Guoying Zhao, and Beiji Zou, A Spatial-aware Joint Optic Disc and Cup Segmentation Method, Neurocomputing, In Press, Online Available. 2019.
108.	Shumao Pang, Zhihai Su, Stephanie Leung, Ilanit Ben Nachum, Bo Chen, Qianjing Feng, and Shuo Li, Direct Automated Quantitative Measurement of Spine by Cascade Amplifier Regression Network with Manifold Regularization, Medical Image Analysis, In Press, Online Available. 2019.
109.	Xiuquan Du, Renjun Tang, Susu Yin, Yanping Zhang, and 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.
110.	Rongchang Zhao, Wangmin Liao, Beiji Zou, Zailiang Chen, and 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.
111.	Xiuquan Du, Chenchu Xu, Lin Xu, Yanping Zhang, Heye Zhang, and Shuo Li, A Novel Machine-learning Algorithm to Estimate the Position and Size of Myocardial Infarction for CMR Sequence, Computing, In Press, Online Available. 2019.
112.	Weiwei Zhang, Xiuquan Du, Jinglin Zhang, Yanping Zhang, and Shuo Li, An End-to-End Joint Learning Framework of Artery-specic Coronary Calcium Scoring in Non-contrast Cardiac CT Computing, Computing, In Press, Online Available. 2019.
113.	Zhongyi Han, Benzheng Wei, Ashley Mercado, Stephanie Leung, and Shuo Li, Spine-GAN: Semantic Segmentation of Multiple Spinal Structures, Medical Image Analysis (MedIA), In Press, Online Available. 2018.
114.	Chenchu Xu, Heye Zhang, and 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.
115.	Wenbo Sun, Zhao Ruan, Xuan Dai, Sirui Li, Shuo Li, Jianjian Zhang, Jincao Chen, Heye Zhang, Heye Zhang, and 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.
116.	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.
117.	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.
118.	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.
119.	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.
120.	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.
121.	Min Li, Shizhong Dong, Kun Zhang, Zhifan Gao, Xi Wu, Heye Zhang, Guang Yang, and Shuo Li, Deep Learning intra-image and inter-images features for Co-saliency detection, British Machine Vision Conference, Newcastle, UK, 2018.
122.	Shizhong Dong, Zhifan Gao, Shanhui Sun, Xin Wang, Ming Li, Heye Zhang, Guang Yang, Huafeng Liu, and Shuo Li, Holistic and Deep Feature Pyramids for Saliency Detection, British Machine Vision Conference, Newcastle, UK, 2018.
123.	Zongqing Ma, Xi Wu, Shanhui Sun, Chaoyang Xia, Zhipeng Yang, Shuo Li, and 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.
124.	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.
125.	Jun Chen, Heye Zhang, Weiwei Zhang, Xiuquan Du, Yanping Zhang, and Shuo Li, Correlated Regression Feature Learning for Automated Right Ventricle Segmentation, IEEE Journal of Translational Engineering in Health and Medicine, In Press, Online Available. 2018.
126.	Hongbo Wu, Chris Bailey, Parham Rasoulinejad, and Shuo Li, Automated Comprehensive Adolescent Idiopathic Scoliosis Assessment using MVC-Net, Medical Image Analysis (MedIA), In Press, Online Available. 2018.
127.	Wufeng Xue, Gary Brahm, Sachin Pandey, Stephanie Leung, and Shuo Li, Full Left Ventricle Quantification via Deep Multitask Relationships Learning, Medical Image Analysis (MedIA), 43: 54-65. 2018.
128.	Bin Gu, Yingying Shan, Victor S. Sheng, and Shuo Li, Sparse Regression with Output Correlation for Cardiac Ejection Fraction Estimation, Information Sciences, 423: 303-312. 2018.
129.	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.
130.	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.
131.	Shen Zhao, Zhifan Gao, Heye Zhang, Yaoqin Xie, Dhanjoo Ghista, Zhongong Wei, Xiaojun Bi, Huahua Xiong, Chenchu Xu, and Shuo Li, Robust Segmentation of Intima-Media Borders with Different Morphologies and Dynamics During the Cardiac Cycle. IEEE Journal of Biomedical and Health Informatics (J-BHI), In Press, Online Available. 2018.
132.	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.
133.	Zhifan Gao, Yanjie Li, Yuanyuan Sun, Jiayuan Yang, Huahua Xiong, Heye Zhang, Xin Liu, Wanqing Wu, Dong Liang, and Shuo Li, 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. 2017.
134.	Wufeng Xue, Ali Islam, Mousumi Bhaduri, and Shuo Li, Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning, IEEE Transaction on Medical Imaging (TMI), 36:2057-2067. 2017.
135.	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.
136.	Chenchu Xu, Lei Xu, Zhifan Gao, Shen Zhao, Heye Zhang, Yanping Zhang, Xiuquan Du, Shu Zhao, Dhanjoo Ghista, and Shuo Li, 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. September 2017.
137.	Hongbo Wu, Chris Bailey, Parham Rasoulinejad, and Shuo Li, 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. September 2017.
138.	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.
139.	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.
140.	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.
141.	Xiantong Zhen, Mengyang Yu, Xiaofei He, and Shuo Li, Multi-Target Regression via Robust Low-Rank Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 40:497-504. 2018.
142.	Yunliang Cai, Andrea Lum, Ashley Mercado, Mark Landis, James Warrington, and Shuo Li, Unsupervised Shape Discovery using Synchronized Spectral Networks, Pattern Recognition (PR), 69:39-51. 2017.
143.	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 Available. 2017.
144.	Zhifan Gao, Yanjie Li, Yuanyuan Sun, Jiayuan Yang, Huahua Xiong, Heye Zhang, Xin Liu, Wanqing Wu, Dong Liang, and Shuo Li, Robust Estimation of Carotid Artery Wall Motion Using the Elasticity-based State-space Approach, Medical Image Analysis (MedIA), 37:1-21. 2017.
145.	Chenchu Xu, Zhifan Gao, Yanping Zhang, Heye Zhang, Xiuquan Du, Wanqing Wu, Lin Xu, Jiangming Huang, Huahua Xiong, Guotao Liu, and Shuo Li, 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. 2017.
146.	Xiantong Zhen, Heye Zhang, Ali Islam, Mousumi Bhaduri, Ian Chan, and Shuo Li, Direct and Simultaneous Estimation of Cardiac Four Chamber Volumes by Multioutput Sparse Regression, Medical Image Analysis (MedIA), 36:184-196. 2017.
147.	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.
148.	Xiaoxu He, Manas Sharma, Gary Brahm, Ashley Mercado, and Shuo Li, Unsupervised Boundary Delineation of Spinal Neural Foramina using A Multi-feature and Adaptive Spectral Segmentation, Medical Image Analysis, 36:22-24. 2017.
149.	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.
150.	Shengran Su, Zhifan Gao, Heye Zhang, Qiang Lin, William Kongto Hau, and 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. 2017.
151.	Liansheng Wang, Shusheng Li, Yiping Chen, Jiankun Lin, Changhua Liu, Xiantong Zeng, and Shuo Li, Direct aneurysm volume estimation by multi-view semi-supervised manifold learning, IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 1222 - 1225. 2017.
152.	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), 39:1103-1121. 2016.
153.	Yunliang Cai, Ali Islam, Mousumi Bhaduri, Ian Chan, and Shuo Li, Unsupervised Freeview Groupwise Cardiac Segmentation using Synchronized Spectral Network,IEEE Transaction on Medical Imaging (TMI), 35: 2174-2188. 2016.
154.	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.
155.	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
156.	Xiaoxu He, Yilong Yin, Manas Sharma, Gary Brahm, Ashley Mercado, and Shuo Li, Automated Diagnosis of Neural Foraminal Stenosis Using Synchronized Superpixels Representation, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Athens, Greece, 2016.
157.	Xiantong Zhen, Mousumi Bhaduri, Ilanit Ben Nachum, David Laidley, and Shuo Li, Multi-Task Shape Regression for General Medical Image Segmentation, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Athens, Greece, 2016.
158.	Zhifan Gao, Huahua Xiong, Yuanyuan Sun, Xin Liu, Heye Zhang, Yaoqin Xie, Dhanjoo Ghista, Wanqing Wu, Yanjie Li, and 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.
159.	Shuo Li, Andrea Lum, Gary Brahm, Ilanit Ben Nachum, Manas Sharma, Olga Shmuilovich, and 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.
160.	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.
161.	Yunliang Cai, Mark Landis, David T.Laidley, Anat Kornecki, Andrea Lum, and Shuo Li, Multi-Modal Vertebrae Recognition using Transformed Deep Convolution Network, Computerized Medical Imaging and Graphics (CMIG), 51:11-19. 2016.
162.	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.
163.	Liansheng Wang, Shusheng Li, Xiantong Zhen, Changhua Liu, Mousumi Bhaduri, Ashley Mercado, and 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.
164.	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.
165.	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.
166.	Kumaradevan Punithakumara, Ismail Ben Ayed, Mariam Afshin, Aashish Goela, Ali Islam, Shuo Li, Pierre Boulanger, Harald Becher, and Michelle Noga, Detecting Left Ventricular Impaired Relaxation in Cardiac MRI using Moving Mesh Correspondences, Computer Methods and Programs in Biomedicine, 124:58-66. 2016.
167.	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, and Shuo Li, A Multi-center Milestone Study of Clinical Vertebral CT Segmentation, Computerized Medical Imaging and Graphics, 49:16-28. 2016.
168.	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.
169.	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.
170.	Bin Gu, Victor S. Sheng, and Shuo Li, Bi-Parameter Space Partition for Cost-Sensitive SVM, International Joint Conferences on Artificial Intelligence (IJCAI) 3532-3539, Buenos Aires, Argentina, 2015.
171.	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.
172.	Xiaoxu He, Jaron Chong, Said Osman, Manas Sharma, Mark Landis, and Shuo Li, Automated delineation of neural foramina from spine images, Annual Meeting of Radiological Society of North America (RSNA), Chicago, U.S.A, 2015.
173.	Bin Gu, Victor S. Sheng, Zhijie Wang, Derek Ho, Said Osman, and Shuo Li, Incremental Learning for v-support Vector Regression, Neural Networks, 67:140-50. 2015. BibTex
174.	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.
175.	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.
176.	Zhijie Wang, Xiantong Zhen, KengYeow Tay, Said Osman, Walt Romano, and Shuo Li, Regression Segmentation for M3 Spine Segmentation, IEEE Transaction on Medical Imaging (TMI), Vol. 34, Issue 8, Pages 1640-1648, 2015.
177.	Ismail Ben Ayed, Kumaradevan Punithakumar, and 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.
178.	Zhijie Wang, Mohamed Ben Salah, Bin Gu, Ali Islam, Aashish Goela, and 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
179.	Bin Gu, Victor Sheng, Kengyeow Tay, Walter Romano, and Shuo Li, Incremental Support Vector Learning for Ordinal Regression, IEEE Transactions on Neural Networks and Learning Systems, 26(7): 1403-1416, 2014.
180.	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.
181.	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.
182.	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
183.	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
184.	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, 2013. BibTex
185.	Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Aashish Goela, Ian G. Ross, Jaron Chong, and Shuo Li, Regional Heart Motion Abnormality Detection: An Information Theoretic Approach, Medical Image Analysis, Vol: 17, Issue 3, In Press, 2013. BibTex
186.	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.
187.	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
188.	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
189.	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
190.	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
191.	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, January 2012. BibTex
192.	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
193.	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
194.	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
195.	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
196.	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
197.	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
198.	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
199.	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
200.	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
201.	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
202.	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
203.	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
204.	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
205.	Kumaradevan Punithakumar, Ismail Ben Ayed, Ian Ross, Ali Islam, and 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
206.	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
207.	Ismail Ben Ayed, Kumaradevan Punithakumar, Shuo Li, Ian Ross, and 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
208.	Ismail Ben Ayed, Yingli Lu, Shuo Li, and 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
209.	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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7.	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
8.	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
9.	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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Opportunities
Post-doctoral Fellows	http://digitalimaginggroup.ca/opportunity.php
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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

Contact
Office Phone	519-646-6000 (ext. 64624)
Email
Post	St. Joseph’s Health Care London, PO BOX 5777, STN B, London, ON N6A 4V2, Canada