A SVM-based framework for autonomous volumetric medical image segmentation using hierarchical and coupled level sets. - Shuo Li 001; Thomas Fevens; Adam Krzyzak (CARS, 2004)

Image Segmentation Adapted for Clinical Settings by Combining Pattern Classification and Level Sets. - Shuo Li 001; Thomas Fevens; Adam Krzyzak (MICCAI (1), 2004)

Toward Automatic Computer Aided Dental X-ray Analysis Using Level Set Method. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Chao Jin; Song Li 003 (MICCAI, 2005)

A level set segmentation for computer-aided dental x-ray analysis. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Song Li 003 (Image Processing, 2005)

Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Song Li 003 (MLDM, 2005)

A model-based monocular vision system for station keeping of an underwater vehicle. - Qingxiao Wu; Shuo Li 001; Yingming Hao; Feng Zhu 014 (ROBIO, 2005)

Feature Preserving Volumetric Data Simplification for Application in Medical Imaging. - Chao Jin; Thomas Fevens; Shuo Li 001; Sudhir P. Mudur (WSCG (Full Papers), 2005)

Fast and Robust Clinical Triple-Region Image Segmentation Using One Level Set Function. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Chao Jin; Song Li 003 (MICCAI (2), 2006)

An automatic variational level set segmentation framework for computer aided dental X-rays analysis in clinical environments. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Song Li 003 (Comput. Medical Imaging Graph., 2006)

Automatic clinical image segmentation using pathological modeling, PCA and SVM. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Song Li 003 (Eng. Appl. Artif. Intell., 2006)

Computer aided root lesion detection using level set and complex wavelets. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Chao Jin; Song Li 003 (Computer-Aided Diagnosis, 2007)

Computer-aided septal defect diagnosis and detection. - Shuo Li 001; Ian G. Ross; Sukhdeep Gill; Terry M. Peters; Prakash Mahesh; Richard Rankin (Computer-Aided Diagnosis, 2007)

A learning-based automatic clinical organ segmentation in medical images. - Xiaoqing Liu; Jagath Samarabandu; Shuo Li 001; Ian G. Ross; Gregory J. Garvin (Image Processing, 2007)

Semi-automatic computer aided lesion detection in dental X-rays using variational level set. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Chao Jin; Song Li 003 (Pattern Recognit., 2007)

Motion learning-based framework for unarticulated shape animation. - Chao Jin; Thomas Fevens; Shuo Li 001; Sudhir P. Mudur (Vis. Comput., 2007)

Tracking distributions with an overlap prior. - Ismail Ben Ayed; Shuo Li 001; Ian G. Ross (CVPR, 2008)

Left Ventricle Tracking Using Overlap Priors. - Ismail Ben Ayed; Yingli Lu; Shuo Li 001; Ian G. Ross (MICCAI (1), 2008)

Area prior constrained level set evolution for medical image segmentation. - Ismail Ben Ayed; Shuo Li 001; Ali Islam; Gregory J. Garvin; Rethy Chhem (Image Processing, 2008)

A learning-based automatic spinal MRI segmentation. - Xiaoqing Liu; Jagath Samarabandu; Gregory J. Garvin; Rethy Chhem; Shuo Li 001 (Image Processing, 2008)

Tracking Endocardial Boundary and Motion via Graph Cut Distribution Matching and Multiple Model Filtering. - Kumaradevan Punithakumar; Ismail Ben Ayed; Ali Islam; Ian G. Ross; Shuo Li 001 (ACCV (3), 2009)

Discrete-Time Adaptive Sliding Mode Control of Autonomous Underwater Vehicle in the Dive Plane. - Baoju Wu; Shuo Li 001; Xiaohui Wang 014 (ICIRA, 2009)

Level Set Image Segmentation with a Statistical Overlap Constraint. - Ismail Ben Ayed; Shuo Li 001; Ian G. Ross (IPMI, 2009)

Left Ventricle Segmentation via Graph Cut Distribution Matching. - Ismail Ben Ayed; Kumaradevan Punithakumar; Shuo Li 001; Ali Islam; Jaron Chong (MICCAI (1), 2009)

Heart Motion Abnormality Detection via an Information Measure and Bayesian Filtering. - Kumaradevan Punithakumar; Shuo Li 001; Ismail Ben Ayed; Ian G. Ross; Ali Islam; Jaron Chong (MICCAI (1), 2009)

Myocardium tracking via matching distributions. - Ismail Ben Ayed; Shuo Li 001; Ian G. Ross; Ali Islam (Int. J. Comput. Assist. Radiol. Surg., 2009)

A Statistical Overlap Prior for Variational Image Segmentation. - Ismail Ben Ayed; Shuo Li 001; Ian G. Ross (Int. J. Comput. Vis., 2009)

Embedding Overlap Priors in Variational Left Ventricle Tracking. - Ismail Ben Ayed; Shuo Li 001; Ian G. Ross (IEEE Trans. Medical Imaging, 2009)

Graph cut segmentation with a global constraint: Recovering region distribution via a bound of the Bhattacharyya measure. - Ismail Ben Ayed; Hua-mei Chen; Kumaradevan Punithakumar; Ian G. Ross; Shuo Li 001 (CVPR, 2010)

Finding image distributions on active curves. - Ismail Ben Ayed; Amar Mitiche; Mohamed Ben Salah; Shuo Li 001 (CVPR, 2010)

A Parameterization of Deformation Fields for Diffeomorphic Image Registration and Its Application to Myocardial Delineation. - Hua-mei Chen; Aashish Goela; Gregory J. Garvin; Shuo Li 001 (MICCAI (1), 2010)

Regional Heart Motion Abnormality Detection via Information Measures and Unscented Kalman Filtering. - Kumaradevan Punithakumar; Ismail Ben Ayed; Ali Islam; Ian G. Ross; Shuo Li 001 (MICCAI (1), 2010)

Tracking Endocardial Motion Via Multiple Model Filtering. - Kumaradevan Punithakumar; Ismail Ben Ayed; Ali Islam; Ian G. Ross; Shuo Li 001 (IEEE Trans. Biomed. Eng., 2010)

Detection of left ventricular motion abnormality via information measures and Bayesian filtering. - Kumaradevan Punithakumar; Ismail Ben Ayed; Ian G. Ross; Ali Islam; Jaron Chong; Shuo Li 001 (IEEE Trans. Inf. Technol. Biomed., 2010)

Graph Cuts with Invariant Object-Interaction Priors: Application to Intervertebral Disc Segmentation. - Ismail Ben Ayed; Kumaradevan Punithakumar; Gregory J. Garvin; Walter Romano; Shuo Li 001 (IPMI, 2011)

A Convex Max-Flow Segmentation of LV Using Subject-Specific Distributions on Cardiac MRI. - Mohammad Saleh Nambakhsh; Jing Yuan 001; Ismail Ben Ayed; Kumaradevan Punithakumar; Aashish Goela; Ali Islam; Terry M. Peters; Shuo Li 001 (IPMI, 2011)

Assessment of Regional Myocardial Function via Statistical Features in MR Images. - Mariam Afshin; Ismail Ben Ayed; Kumaradevan Punithakumar; Max W. K. Law; Ali Islam; Aashish Goela; Ian G. Ross; Terry M. Peters; Shuo Li 001 (MICCAI (3), 2011)

Variational level-set segmentation and tracking of left ventricle using field prior. - Mariam Afshin; Ismail Ben Ayed; Ali Islam; Ian G. Ross; Terry M. Peters; Shuo Li 001 (Image Processing, 2011)

A neural network learned information measures for heart motion abnormality detection. - Mohammad Saleh Nambakhsh; Kumaradevan Punithakumar; Ismail Ben Ayed; Aashish Goela; Ali Islam; Terry M. Peters; Shuo Li 001 (Image Processing, 2011)

Outage performance analysis for cooperative networks with randomly distributed nodes. - Haichuan Ding; Shuo Li 001; Chengwen Xing; Zesong Fei (WCSP, 2011)

An enhanced echo MIMO channel estimation method. - Shuo Li 001; Bingquan Li; Yantao Han; Chengwen Xing; Zesong Fei; Jingming Kuang 001 (CHINACOM, 2012)

On the performance of two-way relaying with dirty paper coding. - Bingquan Li; Shuo Li 001; Xiang Ji; Jiqing Ni; Chengwen Xing; Zesong Fei (CHINACOM, 2012)

Robust two-way amplify-and-forward MIMO relay beamforming with non-reciprocal and reciprocal CSI. - Shuo Li 001; Chengwen Xing; Zesong Fei; Jingming Kuang 001 (CHINACOM, 2012)

Dilated Divergence Based Scale-Space Representation for Curve Analysis. - Max W. K. Law; KengYeow Tay; Andrew E. Leung; Gregory J. Garvin; Shuo Li 001 (ECCV (2), 2012)

A QoE-based OFDM resource allocation scheme for energy efficiency and quality guarantee in multiuser-multiservice system. - Bingquan Li; Shuo Li 001; Chengwen Xing; Zesong Fei; Jingming Kuang 001 (GLOBECOM Workshops, 2012)

Estimation of the Cardiac Ejection Fraction from image statistics. - Mariam Afshin; Ismail Ben Ayed; Ali Islam; Aashish Goela; Ian G. Ross; Terry M. Peters; Shuo Li 001 (ISBI, 2012)

Pixel level image fusion for medical imaging: an energy minimizing approach. - Brandon Miles; Max W. K. Law; Ismail Ben Ayed; Gregory J. Garvin; Aaron Fenster; Shuo Li 001 (Computer-Aided Diagnosis, 2012)

Global Assessment of Cardiac Function Using Image Statistics in MRI. - Mariam Afshin; Ismail Ben Ayed; Ali Islam; Aashish Goela; Terry M. Peters; Shuo Li 001 (MICCAI (2), 2012)

Regional Heart Motion Abnormality Detection via Multiview Fusion. - Kumaradevan Punithakumar; Ismail Ben Ayed; Ali Islam; Aashish Goela; Shuo Li 001 (MICCAI (2), 2012)

Distributed Resource Allocation Algorithm Design for Multi-Cell Networks Based on Advanced Decomposition Theory - Zesong Fei; Shuo Li 001; Chengwen Xing; Yiqing Zhou 001; Jingming Kuang 001 (CoRR, 2012)

Max-flow segmentation of the left ventricle by recovering subject-specific distributions via a bound of the Bhattacharyya measure. - Ismail Ben Ayed; Hua-mei Chen; Kumaradevan Punithakumar; Ian G. Ross; Shuo Li 001 (Medical Image Anal., 2012)

A Convex Max-Flow Approach to Distribution-Based Figure-Ground Separation. - Kumaradevan Punithakumar; Jing Yuan 001; Ismail Ben Ayed; Shuo Li 001; Yuri Boykov (SIAM J. Imaging Sci., 2012)

Gradient Competition Anisotropy for Centerline Extraction and Segmentation of Spinal Cords. - Max W. K. Law; Gregory J. Garvin; Sudhakar Tummala; KengYeow Tay; Andrew E. Leung; Shuo Li 001 (IPMI, 2013)

Joint resource allocation for learning-based cognitive radio networks with MIMO-OFDM relay-aided transmissions. - Shuo Li 001; Bingquan Li; Chengwen Xing; Zesong Fei; Shaodan Ma (WCNC, 2013)

How to Understand LMMSE Transceiver Design for MIMO Systems From Quadratic Matrix Programming - Chengwen Xing; Shuo Li 001; Zesong Fei; Jingming Kuang 001 (CoRR, 2013)

Special issue on Shape Modeling in Medical Image Analysis. - Wiro J. Niessen; Shuo Li 001; Song Wang 002 (Comput. Vis. Image Underst., 2013)

How to understand linear minimum mean-square-error transceiver design for multiple-input-multiple-output systems from quadratic matrix programming. - Chengwen Xing; Shuo Li 001; Zesong Fei; Jingming Kuang 001 (IET Commun., 2013)

Intervertebral disc segmentation in MR images using anisotropic oriented flux. - Max W. K. Law; KengYeow Tay; Andrew E. Leung; Gregory J. Garvin; Shuo Li 001 (Medical Image Anal., 2013)

Regional heart motion abnormality detection: An information theoretic approach. - Kumaradevan Punithakumar; Ismail Ben Ayed; Ali Islam; Aashish Goela; Ian G. Ross; Jaron Chong; Shuo Li 001 (Medical Image Anal., 2013)

Robust Filter-and-forward Beamforming Design for Two-way Multi-antenna Relaying Networks. - Zesong Fei; Niwei Wang; Chengwen Xing; Shuo Li 001; Jiqing Ni; Jingming Kuang 001 (Mob. Networks Appl., 2013)

Spine Image Fusion Via Graph Cuts. - Brandon Miles; Ismail Ben Ayed; Max W. K. Law; Gregory J. Garvin; Aaron Fenster; Shuo Li 001 (IEEE Trans. Biomed. Eng., 2013)

Detecting left ventricular impaired relaxation using MR imaging. - Kumaradevan Punithakumar; Michelle Noga; Pierre Boulanger; Ismail Ben Ayed; Mariam Afshin; Aashish Goela; Ali Islam; Shuo Li 001 (BHI, 2014)

Direct Estimation of Cardiac Bi-ventricular Volumes with Regression Forests. - Xiantong Zhen; Zhijie Wang 003; Ali Islam; Mousumi Bhaduri; Ian Chan; Shuo Li 001 (MICCAI (2), 2014)

Direct Estimation of Cardiac Biventricular Volumes With an Adapted Bayesian Formulation. - Zhijie Wang 003; Mohamed Ben Salah; Bin Gu 001; Ali Islam; Aashish Goela; Shuo Li 001 (IEEE Trans. Biomed. Eng., 2014)

Regional Assessment of Cardiac Left Ventricular Myocardial Function via MRI Statistical Features. - Mariam Afshin; Ismail Ben Ayed; Kumaradevan Punithakumar; Max W. K. Law; Ali Islam; Aashish Goela; Terry M. Peters; Shuo Li 001 (IEEE Trans. Medical Imaging, 2014)

Supervised descriptor learning for multi-output regression. - Xiantong Zhen; Zhijie Wang 003; Mengyang Yu; Shuo Li 001 (CVPR, 2015)

Bi-Parameter Space Partition for Cost-Sensitive SVM. - Bin Gu 001; Victor S. Sheng; Shuo Li 001 (IJCAI, 2015)

Maintaining constant towing tension between cable ship and burying system under sea waves by hybrid FUZZY P + ID controller. - Qi Chen; Wei Li 006; Xiaohui Wang 014; Yan Li; Shuo Li 001; Bin Xian (IROS, 2015)

Prognosis of intervertebral disc loss from diagnosis of degenerative disc disease. - Shuo Li 001; A. Lin; KengYeow Tay; Walter Romano; Said Osman (Computer-Aided Diagnosis, 2015)

Unsupervised Free-View Groupwise Segmentation for M3 Cardiac Images Using Synchronized Spectral Network. - Yunliang Cai; Ali Islam; Mousumi Bhaduri; Ian Chan; Shuo Li 001 (MICCAI (2), 2015)

Localization and Segmentation of 3D Intervertebral Discs from MR Images via a Learning Based Method: A Validation Framework. - Chengwen Chu; Weimin Yu; Shuo Li 001; Guoyan Zheng (CSI@MICCAI, 2015)

Direct and Simultaneous Four-Chamber Volume Estimation by Multi-Output Regression. - Xiantong Zhen; Ali Islam; Mousumi Bhaduri; Ian Chan; Shuo Li 001 (MICCAI (1), 2015)

Direct volume estimation without segmentation. - Xiantong Zhen; Zhijie Wang 003; Ali Islam; Mousumi Bhaduri; Ian Chan; Shuo Li 001 (Image Processing, 2015)

Special issue: 1st MICCAI workshop on bio- imaging and visualization for patient-customized simulations. - João Manuel R. S. Tavares; Xiongbiao Luo; Shuo Li 001 (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2015)

Medical image computing in diagnosis and intervention of spinal diseases. - Guoyan Zheng; Shuo Li 001 (Comput. Medical Imaging Graph., 2015)

Towards Direct Medical Image Analysis without Segmentation. - Xiantong Zhen; Shuo Li 001 (CoRR, 2015)

Incremental learning for ν-Support Vector Regression. - Bin Gu 001; Victor S. Sheng; Zhijie Wang 003; Derek Ho; Said Osman; Shuo Li 001 (Neural Networks, 2015)

Distribution Matching with the Bhattacharyya Similarity: A Bound Optimization Framework. - Ismail Ben Ayed; Kumaradevan Punithakumar; Shuo Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Multi-Modality Vertebra Recognition in Arbitrary Views Using 3D Deformable Hierarchical Model. - Yunliang Cai; Said Osman; Manas Sharma; Mark Landis; Shuo Li 001 (IEEE Trans. Medical Imaging, 2015)

Guest Editorial Special Issue on Spine Imaging, Image-Based Modeling, and Image Guided Intervention. - Shuo Li 001; Jianhua Yao 001; Nassir Navab (IEEE Trans. Medical Imaging, 2015)

Regression Segmentation for M3 Spinal Images. - Zhijie Wang 003; Xiantong Zhen; KengYeow Tay; Said Osman; Walter Romano; Shuo Li 001 (IEEE Trans. Medical Imaging, 2015)

Correction to "Regression Segmentation for M3 Spinal Images". - Zhijie Wang 003; Xiantong Zhen; KengYeow Tay; Said Osman; Walter Romano; Shuo Li 001 (IEEE Trans. Medical Imaging, 2015)

Incremental Support Vector Learning for Ordinal Regression. - Bin Gu 001; Victor S. Sheng; KengYeow Tay; Walter Romano; Shuo Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Automatic quantification of mammary glands on non-contrast x-ray CT by using a novel segmentation approach. - Xiangrong Zhou; Takuya Kano; Yunliang Cai; Shuo Li 001; Xinxin Zhou; Takeshi Hara; Ryujiro Yokoyama; Hiroshi Fujita 001 (Computer-Aided Diagnosis, 2016)

Carotid Artery Wall Motion Estimated from Ultrasound Imaging Sequences Using a Nonlinear State Space Approach. - Zhifan Gao; Yuanyuan Sun; Heye Zhang; Dhanjoo N. Ghista; Yanjie Li; Huahua Xiong; Xin Liu 023; Yaoqin Xie; Wanqing Wu; Shuo Li 001 (MICCAI (3), 2016)

Automated Diagnosis of Neural Foraminal Stenosis Using Synchronized Superpixels Representation. - Xiaoxu He; Yilong Yin; Manas Sharma; Gary Brahm; Ashley Mercado; Shuo Li 001 (MICCAI (2), 2016)

Multi-task Shape Regression for Medical Image Segmentation. - Xiantong Zhen; Yilong Yin; Mousumi Bhaduri; Ilanit Ben Nachum; David T. Laidley; Shuo Li 001 (MICCAI (3), 2016)

Active disturbance rejection control for diving motion of Autonomous Underwater Vehicles. - Zhibin Jiang; Shuo Li 001; Tiejun Liu (ROBIO, 2016)

3D path following control method for torpedo-type AUVs with uncertainty terms in their dynamics. - Ji-Hong Li; Hyung-Joo Kang; Sung-Mun Hong; Jin-Ho Suh; Shuo Li 001 (ROBIO, 2016)

Forward-looking sonar image mosaicking by feature tracking. - Sanming Song; J. Michael Herrmann; Kaizhou Liu; Shuo Li 001; Xisheng Feng (ROBIO, 2016)

Multi-modal vertebrae recognition using Transformed Deep Convolution Network. - Yunliang Cai; Mark Landis; David T. Laidley; Anat Kornecki; Andrea Lum; Shuo Li 001 (Comput. Medical Imaging Graph., 2016)

Spine labeling in axial magnetic resonance imaging via integral kernels. - Brandon Miles; Ismail Ben Ayed; Seyed-Parsa Hojjat; Michael Wang; Shuo Li 001; Aaron Fenster; Gregory J. Garvin (Comput. Medical Imaging Graph., 2016)

A multi-center milestone study of clinical vertebral CT segmentation. - Jianhua Yao 001; Joseph E. Burns; Daniel Forsberg; Alexander Seitel; Abtin Rasoulian; Purang Abolmaesumi; Kerstin Hammernik; Martin Urschler; Bulat Ibragimov; Robert Korez; Tomaz Vrtovec; Isaac Castro-Mateos; et al. (Comput. Medical Imaging Graph., 2016)

Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences. - Kumaradevan Punithakumar; Ismail Ben Ayed; Mariam Afshin; Aashish Goela; Ali Islam; Shuo Li 001; Pierre Boulanger; Harald Becher; Michelle Noga (Comput. Methods Programs Biomed., 2016)

Multi-scale deep networks and regression forests for direct bi-ventricular volume estimation. - Xiantong Zhen; Zhijie Wang 003; Ali Islam; Mousumi Bhaduri; Ian Chan; Shuo Li 001 (Medical Image Anal., 2016)

Unsupervised Freeview Groupwise Cardiac Segmentation Using Synchronized Spectral Network. - Yunliang Cai; Ali Islam; Mousumi Bhaduri; Ian Chan; Shuo Li 001 (IEEE Trans. Medical Imaging, 2016)

Learning Deep Match Kernels for Image-Set Classification. - Haoliang Sun; Xiantong Zhen; Yuanjie Zheng; Gongping Yang; Yilong Yin; Shuo Li 001 (CVPR, 2017)

Direct Estimation of Spinal Cobb Angles by Structured Multi-output Regression. - Haoliang Sun; Xiantong Zhen; Chris Bailey; Parham Rasoulinejad; Yilong Yin; Shuo Li 001 (IPMI, 2017)

Direct Estimation of Regional Wall Thicknesses via Residual Recurrent Neural Network. - Wufeng Xue; Ilanit Ben Nachum; Sachin Pandey; James Warrington; Stephanie Leung; Shuo Li 001 (IPMI, 2017)

Detection of lumen and media-adventitia borders in IVUS images using sparse auto-encoder neural network. - Shengran Su; Zhifan Gao; Heye Zhang; Qiang Lin; William Kongto Hau; Shuo Li 001 (ISBI, 2017)

Direct aneurysm volume estimation by multi-view semi-supervised manifold learning. - Liansheng Wang; Shusheng Li; Yiping Chen; Jiankun Lin; Changhua Liu; Xiantong Zeng; Shuo Li 001 (ISBI, 2017)

Automated grading of lumbar disc degeneration via supervised distance metric learning. - Xiaoxu He; Mark Landis; Stephanie Leung; James Warrington; Olga Shmuilovich; Shuo Li 001 (Computer-Aided Diagnosis, 2017)

Volume calculation of CT lung lesions based on Halton low-discrepancy sequences. - Shusheng Li; Liansheng Wang; Shuo Li 001 (Computer-Aided Diagnosis, 2017)

Automated assessment of breast tissue density in non-contrast 3D CT images without image segmentation based on a deep CNN. - Xiangrong Zhou; Takuya Kano; Hiromi Koyasu; Shuo Li 001; Xinxin Zhou; Takeshi Hara; Masayuki Matsuo; Hiroshi Fujita 001 (Computer-Aided Diagnosis, 2017)

Automatic Landmark Estimation for Adolescent Idiopathic Scoliosis Assessment Using BoostNet. - Hongbo Wu; Chris Bailey; Parham Rasoulinejad; Shuo Li 001 (MICCAI (1), 2017)

Direct Detection of Pixel-Level Myocardial Infarction Areas via a Deep-Learning Algorithm. - Chenchu Xu; Lei Xu 037; Zhifan Gao; Shen Zhao; Heye Zhang; Yanping Zhang 001; Xiuquan Du; Shu Zhao; Dhanjoo N. Ghista; Shuo Li 001 (MICCAI (3), 2017)

Full Quantification of Left Ventricle via Deep Multitask Learning Network Respecting Intra- and Inter-Task Relatedness. - Wufeng Xue; Andrea Lum; Ashley Mercado; Mark Landis; James Warrington; Shuo Li 001 (MICCAI (3), 2017)

Direct spondylolisthesis identification and measurement in MR/CT using detectors trained by articulated parameterized spine model. - Yunliang Cai; Stephanie Leung; James Warrington; Sachin Pandey; Olga Shmuilovich; Shuo Li 001 (Image Processing, 2017)

Preface. - Xinjian Chen 001; Shuo Li 001; Emanuele Trucco; Jimmy Jiang Liu; Yonggang Shi; Beiji Zou 001 (Comput. Medical Imaging Graph., 2017)

Current trends in the development of intelligent unmanned autonomous systems. - Tao Zhang 006; Qing Li 010; Chang-shui Zhang; Hua-wei Liang; Ping Li 057; Tianmiao Wang; Shuo Li 001; Yun-long Zhu; Cheng Wu (Frontiers Inf. Technol. Electron. Eng., 2017)

Robust estimation of carotid artery wall motion using the elasticity-based state-space approach. - Zhifan Gao; Huahua Xiong; Xin Liu 023; Heye Zhang; Dhanjoo N. Ghista; Wanqing Wu; Shuo Li 001 (Medical Image Anal., 2017)

Unsupervised boundary delineation of spinal neural foramina using a multi-feature and adaptive spectral segmentation. - Xiaoxu He; Heye Zhang; Mark Landis; Manas Sharma; James Warrington; Shuo Li 001 (Medical Image Anal., 2017)

Direct and simultaneous estimation of cardiac four chamber volumes by multioutput sparse regression. - Xiantong Zhen; Heye Zhang; Ali Islam; Mousumi Bhaduri; Ian Chan; Shuo Li 001 (Medical Image Anal., 2017)

Cross Validation Through Two-Dimensional Solution Surface for Cost-Sensitive SVM. - Bin Gu 001; Victor S. Sheng; KengYeow Tay; Walter Romano; Shuo Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Unsupervised shape discovery using synchronized spectral networks. - Yunliang Cai; Andrea Lum; Ashley Mercado; Mark Landis; James Warrington; Shuo Li 001 (Pattern Recognit., 2017)

Automated segmentation and area estimation of neural foramina with boundary regression model. - Xiaoxu He; Andrea Lum; Manas Sharma; Gary Brahm; Ashley Mercado; Shuo Li 001 (Pattern Recognit., 2017)

Development of a Virtual Platform for Telepresence Control of an Underwater Manipulator Mounted on a Submersible Vehicle. - Jin Zhang 028; Wei Li 006; Jiancheng Yu; Qifeng Zhang; Shengguo Cui; Yan Li; Shuo Li 001; Genshe Chen (IEEE Trans. Ind. Electron., 2017)

Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning. - Wufeng Xue; Ali Islam; Mousumi Bhaduri; Shuo Li 001 (IEEE Trans. Medical Imaging, 2017)

Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression. - Xiantong Zhen; Mengyang Yu; Ali Islam; Mousumi Bhaduri; Ian Chan; Shuo Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Holistic and Deep Feature Pyramids for Saliency Detection. - Shizhong Dong; Zhifan Gao; Shanhui Sun; Xin Wang 045; Ming Li 005; Heye Zhang; Guang Yang 006; Huafeng Liu 003; Shuo Li 001 (BMVC, 2018)

Deep Learning intra-image and inter-images features for Co-saliency detection. - Min Li; Shizhong Dong; Kun Zhang; Zhifan Gao; Xi Wu 004; Heye Zhang; Guang Yang 006; Shuo Li 001 (BMVC, 2018)

Utility Balanced Classification for Automatic Electronic Medical Record Analysis. - Liansheng Wang; Qiuhao Xu; Shuo Li 001 (ICSAI, 2018)

A discriminative learning based approach for automated nasopharyngeal carcinoma segmentation leveraging multi-modality similarity metric learning. - Zongqing Ma; Xi Wu 004; Shanhui Sun; Chaoyang Xia; Zhipeng Yang; Shuo Li 001; Jiliu Zhou (ISBI, 2018)

Automated delineation of organs-at-risk in head and neck CT images using multi-output support vector regression. - Clara M. Tam; Xiaofeng Yang 005; Sibo Tian; Xi Jiang; Jonathan J. Beitler; Shuo Li 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-Voxel Discrimination. - Suyu Dong; Gongning Luo; Kuanquan Wang; Shaodong Cao; Ashley Mercado; Olga Shmuilovich; Henggui Zhang; Shuo Li 001 (MICCAI (4), 2018)

Towards Automatic Report Generation in Spine Radiology Using Weakly Supervised Framework. - Zhongyi Han; Benzheng Wei; Stephanie Leung; Jonathan Chung 002; Shuo Li 001 (MICCAI (4), 2018)

Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network. - Shumao Pang; Stephanie Leung; Ilanit Ben Nachum; Qianjin Feng; Shuo Li 001 (MICCAI (2), 2018)

Direct Reconstruction of Ultrasound Elastography Using an End-to-End Deep Neural Network. - Sitong Wu; Zhifan Gao; Zhi Liu 004; Jianwen Luo 001; Heye Zhang; Shuo Li 001 (MICCAI (1), 2018)

MuTGAN: Simultaneous Segmentation and Quantification of Myocardial Infarction Without Contrast Agents via Joint Adversarial Learning. - Chenchu Xu; Lei Xu 037; Gary Brahm; Heye Zhang; Shuo Li 001 (MICCAI (2), 2018)

Cardiac Motion Scoring with Segment- and Subject-Level Non-local Modeling. - Wufeng Xue; Gary Brahm; Stephanie Leung; Olga Shmuilovich; Shuo Li 001 (MICCAI (2), 2018)

Evaluation and Comparison of Automatic Intervertebral Disc Localization and Segmentation methods with 3D Multi-modality MR Images: A Grand Challenge. - Guodong Zeng; Daniel L. Belavy; Shuo Li 001; Guoyan Zheng (CSI@MICCAI, 2018)

DeepSS: Exploring Splice Site Motif Through Convolutional Neural Network Directly From DNA Sequence. - Xiuquan Du; Yu Yao 008; Yanyu Diao; Huaixu Zhu; Yanping Zhang 001; Shuo Li 001 (IEEE Access, 2018)

Deep Regression Segmentation for Cardiac Bi-Ventricle MR Images. - Xiuquan Du; Weiwei Zhang 006; Heye Zhang; Jun Chen; Yanping Zhang 001; James Warrington; Gary Brahm; Shuo Li 001 (IEEE Access, 2018)

Glioma Segmentation With a Unified Algorithm in Multimodal MRI Images. - Qingneng Li; Zhifan Gao; Qiuyu Wang; Jun Xia 002; Heye Zhang; Huailing Zhang; Huafeng Liu 003; Shuo Li 001 (IEEE Access, 2018)

An Automatic Cardiac Arrhythmia Classification System With Wearable Electrocardiogram. - Yufa Xia; Huailing Zhang; Lin Xu 008; Zhifan Gao; Heye Zhang; Huafeng Liu 003; Shuo Li 001 (IEEE Access, 2018)

Automated neural foraminal stenosis grading via task-aware structural representation learning. - Xiaoxu He; Stephanie Leung; James Warrington; Olga Shmuilovich; Shuo Li 001 (Neurocomputing, 2018)

Sparse regression with output correlation for cardiac ejection fraction estimation. - Bin Gu 001; Yingying Shan; Victor S. Sheng; Yuhui Zheng; Shuo Li 001 (Inf. Sci., 2018)

Spine-GAN: Semantic segmentation of multiple spinal structures. - Zhongyi Han; Benzheng Wei; Ashley Mercado; Stephanie Leung; Shuo Li 001 (Medical Image Anal., 2018)

Automated comprehensive Adolescent Idiopathic Scoliosis assessment using MVC-Net. - Hongbo Wu; Chris Bailey; Parham Rasoulinejad; Shuo Li 001 (Medical Image Anal., 2018)

Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture. - Chenchu Xu; Lei Xu 037; Zhifan Gao; Shen Zhao; Heye Zhang; Yanping Zhang 001; Xiuquan Du; Shu Zhao; Dhanjoo N. Ghista; Huafeng Liu 003; Shuo Li 001 (Medical Image Anal., 2018)

Full left ventricle quantification via deep multitask relationships learning. - Wufeng Xue; Gary Brahm; Sachin Pandey; Stephanie Leung; Shuo Li 001 (Medical Image Anal., 2018)

Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning. - Zhongyi Han; Benzheng Wei; Stephanie Leung; Ilanit Ben Nachum; David T. Laidley; Shuo Li 001 (Neuroinformatics, 2018)

Multi-Target Regression via Robust Low-Rank Learning. - Xiantong Zhen; Mengyang Yu; Xiaofei He 001; Shuo Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Robust Segmentation of Intima-Media Borders With Different Morphologies and Dynamics During the Cardiac Cycle. - Shen Zhao; Zhifan Gao; Heye Zhang; Yaoqin Xie; Jianwen Luo 001; Dhanjoo N. Ghista; Zhanghong Wei; Xiaojun Bi 004; Huahua Xiong; Chenchu Xu; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2018)

Motion Tracking of the Carotid Artery Wall From Ultrasound Image Sequences: a Nonlinear State-Space Approach. - Zhifan Gao; Yanjie Li; Yuanyuan Sun; Jiayuan Yang; Huahua Xiong; Heye Zhang; Xin Liu 023; Wanqing Wu; Dong Liang 001; Shuo Li 001 (IEEE Trans. Medical Imaging, 2018)

Multitarget Sparse Latent Regression. - Xiantong Zhen; Mengyang Yu; Feng Zheng; Ilanit Ben Nachum; Mousumi Bhaduri; David T. Laidley; Shuo Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis. - Rongchang Zhao; Wangmin Liao; Beiji Zou 001; Zailiang Chen 001; Shuo Li 001 (AAAI, 2019)

EchoQuan-Net: Direct Quantification of Echo Sequence for Left Ventricle Multidimensional Indices via Global-Local Learning, Geometric Adjustment and Multi-target Relation Learning. - Rongjun Ge; Guanyu Yang 001; Chenchu Xu; Jiulou Zhang; Yang Chen 008; Limin Luo 001; Cheng Feng; Heye Zhang; Shuo Li 001 (ICANN (Workshop), 2019)

Context-Aware Inductive Bias Learning for Vessel Border Detection in Multi-modal Intracoronary Imaging. - Zhifan Gao; Shuo Li 001 (MICCAI (2), 2019)

Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT. - Rongjun Ge; Guanyu Yang 001; Chenchu Xu; Yang Chen 008; Limin Luo 001; Shuo Li 001 (MICCAI (6), 2019)

DPA-DenseBiasNet: Semi-supervised 3D Fine Renal Artery Segmentation with Dense Biased Network and Deep Priori Anatomy. - Yuting He 001; Guanyu Yang 001; Yang Chen 008; Youyong Kong; Jiasong Wu; Lijun Tang; Xiaomei Zhu; Jean-Louis Dillenseger; Pengfei Shao; Shaobo Zhang 008; Huazhong Shu; Jean-Louis Coatrieux; et al. (MICCAI (6), 2019)

Recurrent Aggregation Learning for Multi-view Echocardiographic Sequences Segmentation. - Ming Li 005; Weiwei Zhang 006; Guang Yang 006; Chengjia Wang; Heye Zhang; Huafeng Liu 003; Wei Zheng; Shuo Li 001 (MICCAI (2), 2019)

A Deep Reinforcement Learning Framework for Frame-by-Frame Plaque Tracking on Intravascular Optical Coherence Tomography Image. - Gongning Luo; Suyu Dong; Kuanquan Wang; Dong Zhang 009; Yue Gao 002; Xin Chen 025; Henggui Zhang; Shuo Li 001 (MICCAI (1), 2019)

Radiomics-guided GAN for Segmentation of Liver Tumor Without Contrast Agents. - Xiaojiao Xiao; Juanjuan Zhao; Yan Qiang; Jaron Chong; Xiaotang Yang; Ntikurako Guy-Fernand Kazihise; Bo Chen 013; Shuo Li 001 (MICCAI (2), 2019)

Direct Quantification for Coronary Artery Stenosis Using Multiview Learning. - Dong Zhang 012; Guang Yang 006; Shu Zhao; Yanping Zhang 001; Heye Zhang; Shuo Li 001 (MICCAI (2), 2019)

Multi-index Optic Disc Quantification via MultiTask Ensemble Learning. - Rongchang Zhao; Zailiang Chen 001; Xiyao Liu 001; Beiji Zou 001; Shuo Li 001 (MICCAI (1), 2019)

Automatic Vertebrae Recognition from Arbitrary Spine MRI Images by a Hierarchical Self-calibration Detection Framework. - Shen Zhao; Xi Wu 004; Bo Chen 013; Shuo Li 001 (MICCAI (4), 2019)

Automatic cardiac landmark localization by a recurrent neural network. - Mike van Zon; Mitko Veta; Shuo Li 001 (Image Processing, 2019)

An Automated and Accurate Spine Curve Analysis System. - Bo Chen 013; Qiuhao Xu; Liansheng Wang; Stephanie Leung; Jonathan Chung 002; Shuo Li 001 (IEEE Access, 2019)

MA-Shape: Modality Adaptation Shape Regression for Left Ventricle Segmentation on Mixed MR and CT Images. - Jinyu Cong; Yuanjie Zheng; Wufeng Xue; Bofeng Cao; Shuo Li 001 (IEEE Access, 2019)

Quantification of Full Left Ventricular Metrics via Deep Regression Learning With Contour-Guidance. - Wenji Wang; Yuanquan Wang 001; Yuwei Wu 001; Tao Lin; Shuo Li 001; Bo Chen 013 (IEEE Access, 2019)

A novel machine-learning algorithm to estimate the position and size of myocardial infarction for MRI sequence. - Chenchu Xu; Lin Xu 008; Heye Zhang; Yanping Zhang 001; Xiuquan Du; Shuo Li 001 (Computing, 2019)

An end-to-end joint learning framework of artery-specific coronary calcium scoring in non-contrast cardiac CT. - Weiwei Zhang 006; Jinglin Zhang; Xiuquan Du; Yanping Zhang 001; Shuo Li 001 (Computing, 2019)

A spatial-aware joint optic disc and cup segmentation method. - Qing Liu 003; Xiaopeng Hong; Shuo Li 001; Zailiang Chen 001; Guoying Zhao 001; Beiji Zou 001 (Neurocomputing, 2019)

Learning the implicit strain reconstruction in ultrasound elastography using privileged information. - Zhifan Gao; Sitong Wu; Zhi Liu 004; Jianwen Luo 001; Heye Zhang; Mingming Gong; Shuo Li 001 (Medical Image Anal., 2019)

PV-LVNet: Direct left ventricle multitype indices estimation from 2D echocardiograms of paired apical views with deep neural networks. - Rongjun Ge; Guanyu Yang 001; Yang Chen 008; Limin Luo 001; Cheng Feng; Heye Zhang; Shuo Li 001 (Medical Image Anal., 2019)

Direct automated quantitative measurement of spine by cascade amplifier regression network with manifold regularization. - Shumao Pang; Zhihai Su; Stephanie Leung; Ilanit Ben Nachum; Bo Chen 013; Qianjin Feng; Shuo Li 001 (Medical Image Anal., 2019)

Accurate automated Cobb angles estimation using multi-view extrapolation net. - Liansheng Wang; Qiuhao Xu; Stephanie Leung; Jonathan Chung 002; Bo Chen 013; Shuo Li 001 (Medical Image Anal., 2019)

Automatic spondylolisthesis grading from MRIs across modalities using faster adversarial recognition network. - Shen Zhao; Xi Wu 004; Bo Chen 013; Shuo Li 001 (Medical Image Anal., 2019)

Direct Segmentation-Based Full Quantification for Left Ventricle via Deep Multi-Task Regression Learning Network. - Xiuquan Du; Renjun Tang; Susu Yin; Yanping Zhang 001; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2019)

OF-MSRN: Optical Flow-Auxiliary Multi-Task Regression Network for Direct Quantitative Measurement, Segmentation and Motion Estimation. - Chengqian Zhao; Cheng Feng; Dengwang Li; Shuo Li 001 (AAAI, 2020)

Deep Complementary Joint Model for Complex Scene Registration and Few-Shot Segmentation on Medical Images. - Yuting He 001; Tiantian Li; Guanyu Yang 001; Youyong Kong; Yang Chen 008; Huazhong Shu; Jean-Louis Coatrieux; Jean-Louis Dillenseger; Shuo Li 001 (ECCV (18), 2020)

EGDCL: An Adaptive Curriculum Learning Framework for Unbiased Glaucoma Diagnosis. - Rongchang Zhao; Xuanlin Chen; Zailiang Chen 001; Shuo Li 001 (ECCV (21), 2020)

BI-Modal Ultrasound Breast Cancer Diagnosis Via Multi-View Deep Neural Network SVM. - Bangming Gong; Lu Shen; Cai Chang; Shichong Zhou; Weijun Zhou; Shuo Li 001; Jun Shi 004 (ISBI, 2020)

Multi-vertebrae Segmentation from Arbitrary Spine MR Images Under Global View. - Heyou Chang; Shen Zhao; Hao Zheng; Yang Chen 008; Shuo Li 001 (MICCAI (6), 2020)

Segmentation of Paraspinal Muscles at Varied Lumbar Spinal Levels by Explicit Saliency-Aware Learning. - Jiawei Huang; Haotian Shen; Bo Chen 013; Yue Wang; Shuo Li 001 (MICCAI (6), 2020)

Mt-UcGAN: Multi-task Uncertainty-Constrained GAN for Joint Segmentation, Quantification and Uncertainty Estimation of Renal Tumors on CT. - Yanan Ruan; Dengwang Li; Harry Marshall; Timothy Miao; Tyler Cossetto; Ian Chan; Omar Daher; Fabio Accorsi; Aashish Goela; Shuo Li 001 (MICCAI (4), 2020)

Temporal-Consistent Segmentation of Echocardiography with Co-learning from Appearance and Shape. - Hongrong Wei; Heng Cao; Yiqin Cao; Yongjin Zhou 002; Wufeng Xue; Dong Ni 001; Shuo Li 001 (MICCAI (2), 2020)

Discriminative Dictionary-Embedded Network for Comprehensive Vertebrae Tumor Diagnosis. - Shen Zhao; Bin Chen; Heyou Chang; Xi Wu 004; Shuo Li 001 (MICCAI (6), 2020)

Damage Sensitive and Original Restoration Driven Thanka Mural Inpainting. - Nianyi Wang; Weilan Wang; Wenjin Hu 001; Aaron Fenster; Shuo Li 001 (PRCV (1), 2020)

S3egANet: 3D Spinal Structures Segmentation via Adversarial Nets. - Tianyang Li; Benzheng Wei; Jinyu Cong; Xuzhou Li; Shuo Li 001 (IEEE Access, 2020)

Coarse-to-fine classification for diabetic retinopathy grading using convolutional neural network. - Zhan Wu; Gonglei Shi; Yang Chen 008; Fei Shi; Xinjian Chen 001; Gouenou Coatrieux; Jian Yang 009; Limin Luo 001; Shuo Li 001 (Artif. Intell. Medicine, 2020)

Vessel Structure Extraction using Constrained Minimal Path Propagation. - Guanyu Yang 001; Tianling Lv; Yunpeng Shen; Shuo Li 001; Jian Yang 009; Yang Chen 008; Huazhong Shu; Limin Luo 001; Jean-Louis Coatrieux (Artif. Intell. Medicine, 2020)

Segmentation and visualization of left atrium through a unified deep learning framework. - Xiuquan Du; Susu Yin; Renjun Tang; Yueguo Liu; Yuhui Song; Yanping Zhang 001; Heng Liu 003; Shuo Li 001 (Int. J. Comput. Assist. Radiol. Surg., 2020)

Direct estimation of left ventricular ejection fraction via a cardiac cycle feature learning architecture. - Tianyang Li; Benzheng Wei; Jinyu Cong; Yanfei Hong; Shuo Li 001 (Comput. Biol. Medicine, 2020)

Recursive narrative alignment for movie narrating. - Zhongyi Han; Hongbo Wu; Benzheng Wei; Yilong Yin; Shuo Li 001 (Sci. China Inf. Sci., 2020)

Special issue: third MICCAI workshop on bio-imaging and visualization for patient-customized simulations. - João Manuel R. S. Tavares; Shuo Li 001 (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020)

Multislice left ventricular ejection fraction prediction from cardiac MRIs without segmentation using shared SptDenNet. - Zhi Liu 004; Yihao Zhang 002; Weiwei Li; Shuo Li 001; Zhiling Zou; Bo Chen 013 (Comput. Medical Imaging Graph., 2020)

Unifying Neural Learning and Symbolic Reasoning for Spinal Medical Report Generation. - Zhongyi Han; Benzheng Wei; Yilong Yin; Shuo Li 001 (CoRR, 2020)

Multi-Task Reinforcement Learning based Mobile Manipulation Control for Dynamic Object Tracking and Grasping. - Cong Wang 027; Qifeng Zhang; Qiyan Tian; Shuo Li 001; Xiaohui Wang 014; David Lane; Yvan R. Petillot; Ziyang Hong; Sen Wang 002 (CoRR, 2020)

Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention. - Guang Yang 006; Jun Chen; Zhifan Gao; Shuo Li 001; Hao Ni 001; Elsa D. Angelini; Tom Wong; Raad Mohiaddin; Eva Nyktari; Ricardo Wage; Lei Xu 037; Yanping Zhang 001; et al. (Future Gener. Comput. Syst., 2020)

3D shape reconstruction of lumbar vertebra from two X-ray images and a CT model. - Longwei Fang; Zuowei Wang; Zhiqiang Chen; Fengzeng Jian; Shuo Li 001; Huiguang He (IEEE CAA J. Autom. Sinica, 2020)

MMCL-Net: Spinal disease diagnosis in global mode using progressive multi-task joint learning. - Yanfei Hong; Benzheng Wei; Zhongyi Han; Xiang Li 114; Yuanjie Zheng; Shuo Li 001 (Neurocomputing, 2020)

Non-rigid retinal image registration using an unsupervised structure-driven regression network. - Beiji Zou 001; Zhiyou He; Rongchang Zhao; Chengzhang Zhu; Wangmin Liao; Shuo Li 001 (Neurocomputing, 2020)

Trustful Internet of Surveillance Things Based on Deeply Represented Visual Co-Saliency Detection. - Zhifan Gao; Chenchu Xu; Heye Zhang; Shuo Li 001; Victor Hugo C. de Albuquerque (IEEE Internet Things J., 2020)

Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography. - Suyu Dong; Gongning Luo; Clara M. Tam; Wei Wang 169; Kuanquan Wang; Shaodong Cao; Bo Chen 013; Henggui Zhang; Shuo Li 001 (Medical Image Anal., 2020)

An integrated deep learning framework for joint segmentation of blood pool and myocardium. - Xiuquan Du; Yuhui Song; Yueguo Liu; Yanping Zhang 001; Heng Liu 003; Bo Chen 013; Shuo Li 001 (Medical Image Anal., 2020)

Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation. - Yuting He 001; Guanyu Yang 001; Jian Yang 009; Yang Chen 008; Youyong Kong; Jiasong Wu; Lijun Tang; Xiaomei Zhu; Jean-Louis Dillenseger; Pengfei Shao; Shaobo Zhang 008; Huazhong Shu; et al. (Medical Image Anal., 2020)

Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantification. - Gongning Luo; Suyu Dong; Wei Wang 169; Kuanquan Wang; Shaodong Cao; Clara M. Tam; Henggui Zhang; Joanne Howey; Pavlo Ohorodnyk; Shuo Li 001 (Medical Image Anal., 2020)

Dynamically constructed network with error correction for accurate ventricle volume estimation. - Gongning Luo; Wei Wang 169; Clara M. Tam; Kuanquan Wang; Shaodong Cao; Henggui Zhang; Bo Chen 013; Shuo Li 001 (Medical Image Anal., 2020)

MB-FSGAN: Joint segmentation and quantification of kidney tumor on CT by the multi-branch feature sharing generative adversarial network. - Yanan Ruan; Dengwang Li; Harry Marshall; Timothy Miao; Tyler Cossetto; Ian Chan; Omar Daher; Fabio Accorsi; Aashish Goela; Shuo Li 001 (Medical Image Anal., 2020)

Holistic multitask regression network for multiapplication shape regression segmentation. - Clara M. Tam; Dong Zhang 009; Bo Chen 013; Terry M. Peters; Shuo Li 001 (Medical Image Anal., 2020)

SDAE-GAN: Enable high-dimensional pathological images in liver cancer survival prediction with a policy gradient based data augmentation method. - Hejun Wu; Rong Gao; Yeong Poh Sheng; Bo Chen 013; Shuo Li 001 (Medical Image Anal., 2020)

Segmentation and quantification of infarction without contrast agents via spatiotemporal generative adversarial learning. - Chenchu Xu; Joanne Howey; Pavlo Ohorodnyk; Mike Roth; Heye Zhang; Shuo Li 001 (Medical Image Anal., 2020)

Contrast agent-free synthesis and segmentation of ischemic heart disease images using progressive sequential causal GANs. - Chenchu Xu; Lei Xu 037; Pavlo Ohorodnyk; Mike Roth; Bo Chen 013; Shuo Li 001 (Medical Image Anal., 2020)

Multi-indices quantification of optic nerve head in fundus image via multitask collaborative learning. - Rongchang Zhao; Shuo Li 001 (Medical Image Anal., 2020)

Tripartite-GAN: Synthesizing liver contrast-enhanced MRI to improve tumor detection. - Jianfeng Zhao 004; Dengwang Li; Zahra Kassam; Joanne Howey; Jaron Chong; Bo Chen 013; Shuo Li 001 (Medical Image Anal., 2020)

Salient Object Detection in the Distributed Cloud-Edge Intelligent Network. - Zhifan Gao; Heye Zhang; Shizhou Dong; Shanhui Sun; Xin Wang 045; Guang Yang 006; Wanqing Wu; Shuo Li 001; Victor Hugo C. de Albuquerque (IEEE Netw., 2020)

Learning Mobile Manipulation through Deep Reinforcement Learning. - Cong Wang 027; Qifeng Zhang; Qiyan Tian; Shuo Li 001; Xiaohui Wang 014; David Lane; Yvan R. Petillot; Sen Wang 002 (Sensors, 2020)

Multiple Axial Spine Indices Estimation via Dense Enhancing Network With Cross-Space Distance-Preserving Regularization. - Liyan Lin; Xi Tao; Shumao Pang; Zhihai Su; Hai Lu; Shuo Li 001; Qianjin Feng; Bo Chen 013 (IEEE J. Biomed. Health Informatics, 2020)

MRLN: Multi-Task Relational Learning Network for MRI Vertebral Localization, Identification, and Segmentation. - Ranran Zhang; Xiaoyan Xiao; Zhi Liu 004; Yujun Li; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2020)

Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-Supervised Learning. - Rongchang Zhao; Xuanlin Chen; Xiyao Liu 001; Zailiang Chen 001; Fan Guo 001; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2020)

Privileged Modality Distillation for Vessel Border Detection in Intracoronary Imaging. - Zhifan Gao; Jonathan Chung 002; Mohamed Abdelrazek 002; Stephanie Leung; William Kongto Hau; Zhanchao Xian; Heye Zhang; Shuo Li 001 (IEEE Trans. Medical Imaging, 2020)

K-Net: Integrate Left Ventricle Segmentation and Direct Quantification of Paired Echo Sequence. - Rongjun Ge; Guanyu Yang 001; Yang Chen 008; Limin Luo 001; Cheng Feng; Hong Ma; Junyi Ren; Shuo Li 001 (IEEE Trans. Medical Imaging, 2020)

Image Projection Network: 3D to 2D Image Segmentation in OCTA Images. - Mingchao Li; Yerui Chen; Zexuan Ji; Keren Xie; Songtao Yuan; Qiang Chen 004; Shuo Li 001 (IEEE Trans. Medical Imaging, 2020)

Direct Quantification of Coronary Artery Stenosis Through Hierarchical Attentive Multi-View Learning. - Dong Zhang 012; Guang Yang 006; Shu Zhao; Yanping Zhang 001; Dhanjoo N. Ghista; Heye Zhang; Shuo Li 001 (IEEE Trans. Medical Imaging, 2020)

Thin Semantics Enhancement via High-Frequency Priori Rule for Thin Structures Segmentation. - Yuting He 001; Rongjun Ge; Jiasong Wu; Jean-Louis Coatrieux; Huazhong Shu; Yang Chen 008; Guanyu Yang 001; Shuo Li 001 (ICDM, 2021)

EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation. - Yuting He 001; Rongjun Ge; Xiaoming Qi; Guanyu Yang 001; Yang Chen 008; Youyong Kong; Huazhong Shu; Jean-Louis Coatrieux; Shuo Li 001 (IPMI, 2021)

Learning Consistency- and Discrepancy-Context for 2D Organ Segmentation. - Lei Li 048; Sheng Lian; Zhiming Luo; Shaozi Li; Beizhan Wang; Shuo Li 001 (MICCAI (1), 2021)

CPNet: Cycle Prototype Network for Weakly-Supervised 3D Renal Compartments Segmentation on CT Images. - Song Wang 002; Yuting He 001; Youyong Kong; Xiaomei Zhu; Shaobo Zhang 008; Pengfei Shao; Jean-Louis Dillenseger; Jean-Louis Coatrieux; Shuo Li 001; Guanyu Yang 001 (MICCAI (2), 2021)

mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression Network. - Jianfeng Zhao 004; Xiaojiao Xiao; Dengwang Li; Jaron Chong; Zahra Kassam; Bo Chen 013; Shuo Li 001 (MICCAI (5), 2021)

Video salient object detection using dual-stream spatiotemporal attention. - Chenchu Xu; Zhifan Gao; Heye Zhang; Shuo Li 001; Victor Hugo C. de Albuquerque (Appl. Soft Comput., 2021)

Automatic segmentation of the cardiac MR images based on nested fully convolutional dense network with dilated convolution. - Hongyang Zhang; Wenxue Zhang; Weihao Shen; Nana Li; Yunjie Chen; Shuo Li 001; Bo Chen 013; Shijie Guo; Yuanquan Wang 001 (Biomed. Signal Process. Control., 2021)

TSU-net: Two-stage multi-scale cascade and multi-field fusion U-net for right ventricular segmentation. - Xiuquan Du; Xiaofei Xu; Heng Liu 003; Shuo Li 001 (Comput. Medical Imaging Graph., 2021)

Recent advances in artificial intelligence for cardiac imaging. - Guang Yang 006; Heye Zhang; David N. Firmin; Shuo Li 001 (Comput. Medical Imaging Graph., 2021)

Dissected aorta segmentation using convolutional neural networks. - Tianling Lyu; Guanyu Yang 001; Xingran Zhao; Huazhong Shu; Limin Luo 001; Duanduan Chen; Jiang Xiong; Jian Yang 009; Shuo Li 001; Jean-Louis Coatrieux; Yang Chen 008 (Comput. Methods Programs Biomed., 2021)

Multi-Indices Quantification for Left Ventricle via DenseNet and GRU-Based Encoder-Decoder with Attention. - Zhi Liu 004; Yunhua Lu; Xiaochuan Zhang; Sen Wang 002; Shuo Li 001; Bo Chen 013 (Complex., 2021)

Applying Cross-Modality Data Processing for Infarction Learning in Medical Internet of Things. - Chenchu Xu; Zhifan Gao; Dong Zhang 009; Jinglin Zhang; Lei Xu 037; Shuo Li 001 (IEEE Internet Things J., 2021)

Weakly-Supervised teacher-Student network for liver tumor segmentation from non-enhanced images. - Dong Zhang 009; Bo Chen 013; Jaron Chong; Shuo Li 001 (Medical Image Anal., 2021)

Unifying neural learning and symbolic reasoning for spinal medical report generation. - Zhongyi Han; Benzheng Wei; Xiaoming Xi; Bo Chen 013; Yilong Yin; Shuo Li 001 (Medical Image Anal., 2021)

Meta grayscale adaptive network for 3D integrated renal structures segmentation. - Yuting He 001; Guanyu Yang 001; Jian Yang 009; Rongjun Ge; Youyong Kong; Xiaomei Zhu; Shaobo Zhang 008; Pengfei Shao; Huazhong Shu; Jean-Louis Dillenseger; Jean-Louis Coatrieux; Shuo Li 001 (Medical Image Anal., 2021)

APRIL: Anatomical prior-guided reinforcement learning for accurate carotid lumen diameter and intima-media thickness measurement. - Sheng Lian; Zhiming Luo; Cheng Feng; Shaozi Li; Shuo Li 001 (Medical Image Anal., 2021)

Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network. - Tianling Lyu; Wei Zhao 029; Yinsu Zhu; Zhan Wu; Yikun Zhang 001; Yang Chen 008; Limin Luo 001; Shuo Li 001; Lei Xing 001 (Medical Image Anal., 2021)

Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge. - 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; et al. (Medical Image Anal., 2021)

ELNet: Automatic classification and segmentation for esophageal lesions using convolutional neural network. - Zhan Wu; Rongjun Ge; Minli Wen; Gaoshuang Liu; Yang Chen 008; Pinzheng Zhang; Xiaopu He; Jie Hua 004; Limin Luo 001; Shuo Li 001 (Medical Image Anal., 2021)

Synthesis of gadolinium-enhanced liver tumors on nonenhanced liver MR images using pixel-level graph reinforcement learning. - Chenchu Xu; Dong Zhang 009; Jaron Chong; Bo Chen 013; Shuo Li 001 (Medical Image Anal., 2021)

Sequential conditional reinforcement learning for simultaneous vertebral body detection and segmentation with modeling the spine anatomy. - Dong Zhang 009; Bo Chen 013; Shuo Li 001 (Medical Image Anal., 2021)

OF-UMRN: Uncertainty-guided multitask regression network aided by optical flow for fully automated comprehensive analysis of carotid artery. - Chengqian Zhao; Dengwang Li; Cheng Feng; Shuo Li 001 (Medical Image Anal., 2021)

United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI. - Jianfeng Zhao 004; Dengwang Li; Xiaojiao Xiao; Fabio Accorsi; Harry Marshall; Tyler Cossetto; Dongkeun Kim; Daniel McCarthy; Cameron Dawson; Stefan Knezevic; Bo Chen 013; Shuo Li 001 (Medical Image Anal., 2021)

Automatic vertebrae recognition from arbitrary spine MRI images by a category-Consistent self-calibration detection framework. - Shen Zhao; Xi Wu 004; Bo Chen 013; Shuo Li 001 (Medical Image Anal., 2021)

Estimating Functional Connectivity by Integration of Inherent Brain Function Activity Pattern Priors. - Zhiyuan Zhu; Zonglei Zhen; Xia Wu 001; Shuo Li 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Thanka Mural Inpainting Based on Multi-Scale Adaptive Partial Convolution and Stroke-Like Mask. - Nianyi Wang; Weilan Wang; Wenjin Hu 001; Aaron Fenster; Shuo Li 001 (IEEE Trans. Image Process., 2021)

Quantifying Axial Spine Images Using Object-Specific Bi-Path Network. - Liyan Lin; Xi Tao; Wei Yang 006; Shumao Pang; Zhihai Su; Hai Lu; Shuo Li 001; Qianjin Feng; Bo Chen 013 (IEEE J. Biomed. Health Informatics, 2021)

Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data. - Wufeng Xue; Jiahui Li 005; Zhiqiang Hu; Eric Kerfoot; James R. Clough; Ilkay Öksüz; Hao Xu; Vicente Grau; Fumin Guo; Matthew Ng; Xiang Li 001; Quanzheng Li; et al. (IEEE J. Biomed. Health Informatics, 2021)

Multitask Learning for Estimating Multitype Cardiac Indices in MRI and CT Based on Adversarial Reverse Mapping. - Chengjin Yu; Zhifan Gao; Weiwei Zhang 006; Guang Yang 006; Shu Zhao; Heye Zhang; Yanping Zhang 001; Shuo Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation. - Zhangfu Dong; Yuting He 001; Xiaoming Qi; Yang Chen 008; Huazhong Shu; Jean-Louis Coatrieux; Guanyu Yang 001; Shuo Li 001 (IJCAI, 2022)

SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-sequence MRI Diagnosis. - Yuqiang Gao; Guanyu Yang 001; Xiaoming Qi; Yinsu Zhu; Shuo Li 001 (MICCAI (1), 2022)

DDPNet: A Novel Dual-Domain Parallel Network for Low-Dose CT Reconstruction. - Rongjun Ge; Yuting He 001; Cong Xia; Hailong Sun 006; Yikun Zhang 001; Dianlin Hu; Sijie Chen; Yang Chen 008; Shuo Li 001; Daoqiang Zhang (MICCAI (6), 2022)

ULTRA: Uncertainty-Aware Label Distribution Learning for Breast Tumor Cellularity Assessment. - Xiangyu Li 004; Xinjie Liang; Gongning Luo; Wei Wang 169; Kuanquan Wang; Shuo Li 001 (MICCAI (3), 2022)

Position-Prior Clustering-Based Self-attention Module for Knee Cartilage Segmentation. - Dong Liang 012; Jun Liu 080; Kuanquan Wang; Gongning Luo; Wei Wang 169; Shuo Li 001 (MICCAI (5), 2022)

Contrastive Re-localization and History Distillation in Federated CMR Segmentation. - Xiaoming Qi; Guanyu Yang 001; Yuting He 001; Wangyan Liu; Ali Islam; Shuo Li 001 (MICCAI (5), 2022)

XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention. - Jiacheng Shi; Yuting He 001; Youyong Kong; Jean-Louis Coatrieux; Huazhong Shu; Guanyu Yang 001; Shuo Li 001 (MICCAI (6), 2022)

FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification. - Kai-Ni Wang; Yuting He 001; Shuaishuai Zhuang; Juzheng Miao; Xiaopu He; Ping Zhou; Guanyu Yang 001; Guang-Quan Zhou; Shuo Li 001 (MICCAI (3), 2022)

Contrast-Free Liver Tumor Detection Using Ternary Knowledge Transferred Teacher-Student Deep Reinforcement Learning. - Chenchu Xu; Dong Zhang 009; Yuhui Song; Leonardo Kayat Bittencourt; Sree Harsha Tirumani; Shuo Li 001 (MICCAI (5), 2022)

SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation. - Qikui Zhu; Yanqing Wang; Lei Yin; Jiancheng Yang; Fei Liao; Shuo Li 001 (MICCAI (4), 2022)

Synthetic Data Supervised Salient Object Detection. - Zhenyu Wu; Lin Wang; Wei Wang 169; Tengfei Shi; Chenglizhao Chen; Aimin Hao; Shuo Li 001 (ACM Multimedia, 2022)

ResAttenGAN: Simultaneous segmentation of multiple spinal structures on axial lumbar MRI image using residual attention and adversarial learning. - Hao Gong; Jianhua Liu 005; Bo Chen 013; Shuo Li 001 (Artif. Intell. Medicine, 2022)

A contrastive consistency semi-supervised left atrium segmentation model. - Yashu Liu 003; Wei Wang 169; Gongning Luo; Kuanquan Wang; Shuo Li 001 (Comput. Medical Imaging Graph., 2022)

Two-stage segmentation network with feature aggregation and multi-level attention mechanism for multi-modality heart images. - Yuhui Song; Xiuquan Du; Yanping Zhang 001; Shuo Li 001 (Comput. Medical Imaging Graph., 2022)

Weak lesion feature extraction by dual-branch separation and enhancement network for safe hemorrhagic transformation prediction. - Ziqiao Wang; Zhi Liu 004; Shuo Li 001 (Comput. Medical Imaging Graph., 2022)

United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI. - Jianfeng Zhao 004; Dengwang Li; Shuo Li 001 (CoRR, 2022)

Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation. - Dong Liang 001; Jun Liu 080; Kuanquan Wang; Gongning Luo; Wei Wang 169; Shuo Li 001 (CoRR, 2022)

Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19. - Liansheng Wang; Jiacheng Wang 002; Lei Zhu 003; Huazhu Fu; Ping Li 016; Gary Cheng 001; Zhipeng Feng; Shuo Li 001; Pheng-Ann Heng (CoRR, 2022)

X-CTRSNet: 3D cervical vertebra CT reconstruction and segmentation directly from 2D X-ray images. - Rongjun Ge; Yuting He 001; Cong Xia; Chenchu Xu; Weiya Sun; Guanyu Yang 001; Junru Li; Zhihua Wang; Hailing Yu; Daoqiang Zhang; Yang Chen 008; Limin Luo 001; et al. (Knowl. Based Syst., 2022)

RE-3DLVNet: Refined estimation of the left ventricle volume via interactive 3D segmentation and reinforced quantification. - Rongjun Ge; Cong Xia; Yuting He 001; Hailong Sun 006; Daoqiang Zhang; Guanyu Yang 001; Wentao Xiang; Jinjun Shi; Limin Luo 001; Yinsu Zhu; Shuo Li 001; Yang Chen 008 (Knowl. Based Syst., 2022)

Task relevance driven adversarial learning for simultaneous detection, size grading, and quantification of hepatocellular carcinoma via integrating multi-modality MRI. - Xiaojiao Xiao; Jianfeng Zhao 004; Shuo Li 001 (Medical Image Anal., 2022)

MVFStain: Multiple virtual functional stain histopathology images generation based on specific domain mapping. - Ranran Zhang; Yankun Cao; Yujun Li; Zhi Liu 004; Jianye Wang; Jiahuan He; Chenyang Zhang; Xiaoyu Sui; Pengfei Zhang 017; Lizhen Cui; Shuo Li 001 (Medical Image Anal., 2022)

Reasoning discriminative dictionary-embedded network for fully automatic vertebrae tumor diagnosis. - Shen Zhao; Bin Chen; Heyou Chang; Bo Chen 013; Shuo Li 001 (Medical Image Anal., 2022)

Diagnosing glaucoma on imbalanced data with self-ensemble dual-curriculum learning. - Rongchang Zhao; Xuanlin Chen; Zailiang Chen 001; Shuo Li 001 (Medical Image Anal., 2022)

TRSA-Net: Task Relation Spatial Co-Attention for Joint Segmentation, Quantification and Uncertainty Estimation on Paired 2D Echocardiography. - Xiaoxiao Cui; Yankun Cao; Zhi Liu 004; Xiaoyu Sui; Jia Mi; Yuezhong Zhang; Lizhen Cui; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2022)

Guest Editorial Generative Adversarial Networks in Biomedical Image Computing. - Huazhu Fu; Tao Zhou 002; Shuo Li 001; Alejandro F. Frangi (IEEE J. Biomed. Health Informatics, 2022)

Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching. - Yuting He 001; Tiantian Li; Rongjun Ge; Jian Yang 009; Youyong Kong; Jian Zhu; Huazhong Shu; Guanyu Yang 001; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2022)

Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation. - Xiangyu Li 004; Gongning Luo; Wei Wang 169; Kuanquan Wang; Yue Gao 002; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2022)

MVSGAN: Spatial-Aware Multi-View CMR Fusion for Accurate 3D Left Ventricular Myocardium Segmentation. - Xiaoming Qi; Yuting He 001; Guanyu Yang 001; Yang Chen 008; Jian Yang 009; Wangyag Liu; Yinsu Zhu; Yi Xu; Huazhong Shu; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2022)

Guest Editorial Artificial Intelligence in Pre-DICOM. - Tao Tan 002; Ravi Soni; Jungong Han; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2022)

Regional Cardiac Motion Scoring With Multi-Scale Motion-Based Spatial Attention. - Wufeng Xue; Zejian Chen; Tianfu Wang 001; Shuo Li 001; Dong Ni 001 (IEEE J. Biomed. Health Informatics, 2022)

SC2Net: A Novel Segmentation-Based Classification Network for Detection of COVID-19 in Chest X-Ray Images. - Huimin Zhao 001; Zhenyu Fang; Jinchang Ren; Calum MacLellan; Yong Xia 001; Shuo Li 001; Meijun Sun; Kevin Ren (IEEE J. Biomed. Health Informatics, 2022)

Pixel Is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection. - Zhenyu Wu; Lin Wang; Wei Wang 169; Qing Xia 002; Chenglizhao Chen; Aimin Hao; Shuo Li 001 (AAAI, 2023)

Synergistically Learning Class-specific Tokens for Multi-class Whole Slide Image Classification. - Pengzhong Sun; Wei Wang 169; Xiangyu Li 004; Suyu Dong; Shuo Li 001; Kuanquan Wang; Gongning Luo (BIBM, 2023)

Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-training. - Yuting He 001; Guanyu Yang 001; Rongjun Ge; Yang Chen 008; Jean-Louis Coatrieux; Boyu Wang 004; Shuo Li 001 (CVPR, 2023)

Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-training. - Xiaofei Chen; Yuting He 001; Cheng Xue; Rongjun Ge; Shuo Li 001; Guanyu Yang 001 (MICCAI (1), 2023)

A Style Transfer-Based Augmentation Framework for Improving Segmentation and Classification Performance Across Different Sources in Ultrasound Images. - Bin Huang; Ziyue Xu 001; Shing-Chow Chan; Zhong Liu 004; Huiying Wen; Chao Hou; Qicai Huang; Meiqin Jiang; Changfeng Dong; Jie Zeng; Ruhai Zou; Bingsheng Huang; et al. (MICCAI (6), 2023)

Learning Reliability of Multi-modality Medical Images for Tumor Segmentation via Evidence-Identified Denoising Diffusion Probabilistic Models. - Jianfeng Zhao 004; Shuo Li 001 (MICCAI (4), 2023)

DCAug: Domain-Aware and Content-Consistent Cross-Cycle Framework for Tumor Augmentation. - Qikui Zhu; Lei Yin; Qian Tang; Yanqing Wang; Yanxiang Cheng; Shuo Li 001 (MICCAI (5), 2023)

A Dynamic-Static Weighted Network with Diverse-Token Fusion Attention for Rhexis Margin Recognition in Microscopic Surgery. - Zhen Li 049; Wen-Qian Yue; Gui-Bin Bian; Shuai Zhang; Wei-Peng Liu; Shuo Li 001 (ROBIO, 2023)

The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge. - Xiangyu Li 004; Gongning Luo; Kuanquan Wang; Hongyu Wang; Jun Liu 080; Xinjie Liang; Jie Jiang; Zhenghao Song; Chunyue Zheng; Haokai Chi; Mingwang Xu; Yingte He; et al. (CoRR, 2023)

Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge. - Gongning Luo; Kuanquan Wang; Jun Liu 080; Shuo Li 001; Xinjie Liang; Xiangyu Li 004; Shaowei Gan; Wei Wang 169; Suyu Dong; Wenyi Wang; Pengxin Yu; Enyou Liu; et al. (CoRR, 2023)

Context-aware network fusing transformer and V-Net for semi-supervised segmentation of 3D left atrium. - Chenji Zhao; Shun Xiang; Yuanquan Wang 001; Zhaoxi Cai; Jun Shen 008; Shoujun Zhou; Di Zhao; Weihua Su; Shijie Guo; Shuo Li 001 (Expert Syst. Appl., 2023)

From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping. - Zhiyuan Zhu; Taicheng Huang; Zonglei Zhen; Boyu Wang 004; Xia Wu 001; Shuo Li 001 (Medical Image Anal., 2023)

Carotid Lumen Diameter and Intima-Media Thickness Measurement via Boundary-Guided Pseudo-Labeling. - Shimeng Yang; Teng Li 001; Yinping Lv; Yi Xia; Shuo Li 001 (IEEE Signal Process. Lett., 2023)

BMAnet: Boundary Mining With Adversarial Learning for Semi-Supervised 2D Myocardial Infarction Segmentation. - Chenchu Xu; Yifei Wang; Dong Zhang 009; Longfei Han; Yanping Zhang 001; Jie Chen 025; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2023)

A Knowledge-Guided Framework for Fine-Grained Classification of Liver Lesions Based on Multi-Phase CT Images. - Xingxin Xu; Qikui Zhu; Hanning Ying; Jiongcheng Li; Xiujun Cai; Shuo Li 001; Xiaoqing Liu; Yizhou Yu (IEEE J. Biomed. Health Informatics, 2023)

Corrections to "Image Projection Network: 3D to 2D Image Segmentation in OCTA Images". - Mingchao Li; Yerui Chen; Zexuan Ji; Keren Xie; Songtao Yuan; Qiang Chen 004; Shuo Li 001 (IEEE Trans. Medical Imaging, 2023)

Improving anisotropy resolution of computed tomography and annotation using 3D super-resolution network. - Rongjun Ge; Fanqi Shi; Yang Chen 008; Shujun Tang; Hailong Zhang; Xiaojian Lou; Wei Zhao 029; Gouenou Coatrieux; Dazhi Gao; Shuo Li 001; Xiaoli Mai (Biomed. Signal Process. Control., 2023)

O2M-UDA: Unsupervised dynamic domain adaptation for one-to-multiple medical image segmentation. - Ziyue Jiang 004; Yuting He 001; Shuai Ye; Pengfei Shao; Xiaomei Zhu; Yi Xu; Yang Chen 008; Jean-Louis Coatrieux; Shuo Li 001; Guanyu Yang 001 (Knowl. Based Syst., 2023)

Multi-Task Learning for Pulmonary Arterial Hypertension Prognosis Prediction via Memory Drift and Prior Prompt Learning on 3D Chest CT. - Guanyu Yang 001; Yuting He 001; Yang Lv; Yang Chen 008; Jean-Louis Coatrieux; Xiaoxuan Sun; Qiang Wang; Yongyue Wei; Shuo Li 001; Yinsu Zhu (IEEE J. Biomed. Health Informatics, 2023)

Towards Accurate and Robust Domain Adaptation Under Multiple Noisy Environments. - Zhongyi Han; Xian-Jin Gui; Haoliang Sun; Yilong Yin; Shuo Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Feature-correlation-aware history-preserving-sparse-coding framework for automatic vertebra recognition. - Chenyi Zeng; Shen Zhao; Bin Chen; An Zeng; Shuo Li 001 (Comput. Biol. Medicine, 2023)

Heuristic multi-modal integration framework for liver tumor detection from multi-modal non-enhanced MRIs. - Dong Zhang 009; Chenchu Xu; Shuo Li 001 (Expert Syst. Appl., 2023)

B-mode ultrasound based CAD for liver cancers via multi-view privileged information learning. - Xiangmin Han; Bangming Gong; Lehang Guo; Jun Wang 024; Shihui Ying; Shuo Li 001; Jun Shi 004 (Neural Networks, 2023)

ARR-GCN: Anatomy-Relation Reasoning Graph Convolutional Network for Automatic Fine-Grained Segmentation of Organ's Surgical Anatomy. - Yinli Tian; Wenjian Qin; Fei Xue; Ricardo Lambo; Meiyan Yue; Songhui Diao; Lequan Yu; Yaoqin Xie; Hailin Cao; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2023)

Refined Feature-based Multi-frame and Multi-scale Fusing Gate network for accurate segmentation of plaques in ultrasound videos. - Xifeng Hu; Yankun Cao; Weifeng Hu; Wenzhen Zhang; Jing Li; Chuanyu Wang; Subhas Chandra Mukhopadhyay; Yujun Li; Zhi Liu 004; Shuo Li 001 (Comput. Biol. Medicine, 2023)

Sequence based local-global information fusion framework for vertebrae detection under pathological and FOV variation challenges. - Shen Zhao; Xiangsheng Li; Jiayi He; Bin Chen; Shuo Li 001 (Comput. Medical Imaging Graph., 2023)

Trajectory-Aware Adaptive Imaging Clue Analysis for Guidewire Artifact Removal in Intravascular Optical Coherence Tomography. - Gongning Luo; Xinghua Ma; Jinwen Guo; Mingye Zou; Wei Wang 169; Yang Cao; Kuanquan Wang; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2023)

Curriculum label distribution learning for imbalanced medical image segmentation. - Xiangyu Li 004; Gongning Luo; Wei Wang 169; Kuanquan Wang; Shuo Li 001 (Medical Image Anal., 2023)

Attractive deep morphology-aware active contour network for vertebral body contour extraction with extensions to heterogeneous and semi-supervised scenarios. - Shen Zhao; Jinhong Wang; Xinxin Wang; Yikang Wang; Hanying Zheng 004; Bin Chen; An Zeng; Fuxin Wei; Sadeer Al-Kindi; Shuo Li 001 (Medical Image Anal., 2023)

Dual Multiscale Mean Teacher Network for Semi-Supervised Infection Segmentation in Chest CT Volume for COVID-19. - Liansheng Wang; Jiacheng Wang 002; Lei Zhu 003; Huazhu Fu; Ping Li 016; Gary Cheng 001; Zhipeng Feng; Shuo Li 001; Pheng-Ann Heng (IEEE Trans. Cybern., 2023)

Adaptive Frequency Learning Network With Anti-Aliasing Complex Convolutions for Colon Diseases Subtypes. - Kaini Wang; Shuaishuai Zhuang; Juzheng Miao; Yang Chen 008; Jie Hua 004; Guang-Quan Zhou; Xiaopu He; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2023)

Variation-learning high-resolution network for capsulorhexis recognition of cataract surgery. - Gui-Bin Bian; Wen-Qian Yue; Zhen Li 049; Li Zhang 040; Shuai Zhang; Wei-Peng Liu; Shuo Li 001; Elias P. Medeiros; Wanqing Wu; Victor Hugo C. de Albuquerque (Appl. Soft Comput., 2023)

Ambiguity-aware breast tumor cellularity estimation via self-ensemble label distribution learning. - Xiangyu Li 004; Xinjie Liang; Gongning Luo; Wei Wang 169; Kuanquan Wang; Shuo Li 001 (Medical Image Anal., 2023)

Spatiotemporal knowledge teacher-student reinforcement learning to detect liver tumors without contrast agents. - Chenchu Xu; Yuhong Song; Dong Zhang 009; Leonardo Kayat Bittencourt; Sree Harsha Tirumani; Shuo Li 001 (Medical Image Anal., 2023)

Energy-Induced Explicit Quantification for Multi-modality MRI Fusion. - Xiaoming Qi; Yuan Zhang 019; Tong Wang 022; Guanyu Yang 001; Yueming Jin; Shuo Li 001 (ECCV (7), 2024)

Class-consistent Contrastive Learning Driven Cross-dimensional Transformer for 3D Medical Image Classification. - Qikui Zhu; Chuan Fu; Shuo Li 001 (IJCAI, 2024)

Single-source Domain Generalization in Deep Learning Segmentation via Lipschitz Regularization. - Mazlum Ferhat Arslan; Weihong Guo; Shuo Li 001 (MICCAI (10), 2024)

Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis. - Xiaoxiao Cui; Shanzhi Jiang; Baolin Sun; Yiran Li; Yankun Cao; Zhen Li 049; Chaoyang Lv; Zhi Liu 004; Lizhen Cui; Shuo Li 001 (MICCAI (3), 2024)

CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment. - Yiran Li; Xiaoxiao Cui; Yankun Cao; Yuezhong Zhang; Huihui Wang; Lizhen Cui; Zhi Liu 004; Shuo Li 001 (MICCAI (1), 2024)

Spatio-Temporal Contrast Network for Data-Efficient Learning of Coronary Artery Disease in Coronary CT Angiography. - Xinghua Ma; Mingye Zou; Xinyan Fang; Yang Liu; Gongning Luo; Wei Wang 169; Kuanquan Wang; Zhaowen Qiu; Xin Gao 001; Shuo Li 001 (MICCAI (11), 2024)

Center-to-Edge Denoising Diffusion Probabilistic Models with Cross-domain Attention for Undersampled MRI Reconstruction. - Jianfeng Zhao 004; Shuo Li 001 (MICCAI (7), 2024)

Evidence modeling for reliability learning and interpretable decision-making under multi-modality medical image segmentation. - Jianfeng Zhao 004; Shuo Li 001 (Comput. Medical Imaging Graph., 2024)

Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey. - Zhenyu Wu; Fengmao Lv; Chenglizhao Chen; Aimin Hao; Shuo Li 001 (CoRR, 2024)

Universal Medical Image Representation Learning with Compositional Decoders. - Kaini Wang; Ling Yang 006; Siping Zhou; Guangquan Zhou; Wen-Bo Zhang; Bin Cui 001; Shuo Li 001 (CoRR, 2024)

Imaging foundation model for universal enhancement of non-ideal measurement CT. - Yuxin Liu; Rongjun Ge; Yuting He 001; Zhan Wu; Chenyu You; Shuo Li 001; Yang Chen 008 (CoRR, 2024)

Unified bi-encoder bispace-discriminator disentanglement for cross-domain echocardiography segmentation. - Xiaoxiao Cui; Boyu Wang 004; Shanzhi Jiang; Zhi Liu 004; Hongji Xu; Lizhen Cui; Shuo Li 001 (Knowl. Based Syst., 2024)

An interpretable two-branch bi-coordinate network based on multi-grained domain knowledge for classification of thyroid nodules in ultrasound images. - Mingyu Wang; Chao Chen; Ziyue Xu 001; Lang Xu; Weiwei Zhan; Jing Xiao 006; Yiqing Hou; Bingsheng Huang; Lingyun Huang; Shuo Li 001 (Medical Image Anal., 2024)

MIST: Multi-instance selective transformer for histopathological subtype prediction. - Rongchang Zhao; Zijun Xi; Huanchi Liu; Xiangkun Jian; Jian Zhang; Zijian Zhang; Shuo Li 001 (Medical Image Anal., 2024)

Dual domain distribution disruption with semantics preservation: Unsupervised domain adaptation for medical image segmentation. - Boyun Zheng; Ranran Zhang; Songhui Diao; Jingke Zhu; Yixuan Yuan; Jing Cai 001; Liang Shao; Shuo Li 001; Wenjian Qin (Medical Image Anal., 2024)

Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation. - Zhanshi Zhu; Xinghua Ma; Wei Wang 169; Suyu Dong; Kuanquan Wang; Lianming Wu; Gongning Luo; Guohua Wang; Shuo Li 001 (Medical Image Anal., 2024)

SeNAS-Net: Self-Supervised Noise and Artifact Suppression Network for Material Decomposition in Spectral CT. - Xu Ji; Yuchen Lu; Yikun Zhang 001; Xu Zhuo; Shengqi Kan; Weilong Mao; Gouenou Coatrieux; Jean-Louis Coatrieux; Guotao Quan; Yan Xi; Shuo Li 001; Tianling Lyu; et al. (IEEE Trans. Computational Imaging, 2024)

CMAR: A Pipeline for Cross-Modal Alignment and 3-D Reconstruction of Coronary Arteries Based on Key Bifurcation Vessel Measurements. - Yankun Cao; Wenzhen Zhang; Yuezhong Zhang; Guanjie Sun; Wei Guo 017; Mingjie Shao; Subhas Chandra Mukhopadhyay; Lizhen Cui; Yujun Li; Zhi Liu 004; Shuo Li 001 (IEEE Trans. Instrum. Meas., 2024)

STANet: Spatio-Temporal Adaptive Network and Clinical Prior Embedding Learning for 3D+T CMR Segmentation. - Xiaoming Qi; Yuting He 001; Yaolei Qi; Youyong Kong; Guanyu Yang 001; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2024)

Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness. - Yuting He 001; Rongjun Ge; Xiaoming Qi; Yang Chen 008; Jiasong Wu; Jean-Louis Coatrieux; Guanyu Yang 001; Shuo Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Silver Nanowire-Based Flexible Strain Sensor for Human Motion Detection. - Abduweli Mijit; Shuo Li 001; Qiang Wang; Mingzhou Li; Yanlong Tai (Sensors, 2024)

Automatic Delineation of the 3D Left Atrium From LGE-MRI: Actor-Critic Based Detection and Semi-Supervised Segmentation. - Shun Xiang; Nana Li; Yuanquan Wang 001; Shoujun Zhou; Jin Wei; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2024)

A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography. - Xinghua Ma; Xinyan Fang; Mingye Zou; Gongning Luo; Wei Wang 169; Kuanquan Wang; Zhaowen Qiu; Xin Gao 001; Shuo Li 001 (AAAI, 2025)

DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation. - Qingtao Pan; Wenhao Qiao; Jingjiao Lou; Bing Ji; Shuo Li 001 (AAAI, 2025)

Finding Local Diffusion Schrodinger Bridge using Kolmogorov-Arnold Network. - Xingyu Qiu; Mengying Yang; Xinghua Ma; Fanding Li; Dong Liang; Gongning Luo; Wei Wang 169; Kuanquan Wang; Shuo Li 001 (CVPR, 2025)

Gaze-Assisted Human-Centric Domain Adaptation for Cardiac Ultrasound Image Segmentation. - Ruiyi Li; Yuting He 001; Rongjun Ge; Chong Wang; Daoqiang Zhang; Yang Chen 008; Shuo Li 001 (ICASSP, 2025)

Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for Federated Continual Learning. - Xiaoming Qi; Jingyang Zhang; Huazhu Fu; Guanyu Yang 001; Shuo Li 001; Yueming Jin (IPMI (1), 2025)

Interactive prototype learning and self-learning for few-shot medical image segmentation. - Yuhui Song; Chenchu Xu; Boyan Wang; Xiuquan Du; Jie Chen 025; Yanping Zhang 001; Shuo Li 001 (Artif. Intell. Medicine, 2025)

MultiJSQ: Direct joint segmentation and quantification of left ventricle with deep multitask-derived regression network. - Xiuquan Du; Zheng Pei; Ying Liu; Xinzhi Cao; Lei Li 048; Shuo Li 001 (CAAI Trans. Intell. Technol., 2025)

Convergent-Diffusion Denoising Model for multi-scenario CT Image Reconstruction. - Xinghua Ma; Mingye Zou; Xinyan Fang; Gongning Luo; Wei Wang 169; Suyu Dong; Xiangyu Li 004; Kuanquan Wang; Qing Dong; Ye Tian; Shuo Li 001 (Comput. Medical Imaging Graph., 2025)

Diffusion model for medical image denoising, reconstruction and translation. - Wei Wang 169; Jiayu Xia; Gongning Luo; Suyu Dong; Xiangyu Li 004; Jie Wen 001; Shuo Li 001 (Comput. Medical Imaging Graph., 2025)

TASL-Net: Tri-attention selective learning network for intelligent diagnosis of bimodal ultrasound video. - Chengqian Zhao; Zhao Yao; Zhaoyu Hu; Yuanxin Xie; Yafang Zhang; Yuanyuan Wang; Shuo Li 001; Jianhua Zhou; Jianqiao Zhou; Yin Wang; Jinhua Yu (Expert Syst. Appl., 2025)

Cooperative metric learning-based hybrid transformer for automatic recognition of standard echocardiographic multi-views. - Yiran Li; Yankun Cao; Jia Mi; Xiaoxiao Cui; Xifeng Hu; Yuezhong Zhang; Zhi Liu 004; Lizhen Cui; Shuo Li 001 (Future Gener. Comput. Syst., 2025)

LLM-GAODE: Large-language-model augmented neural ordinary differential equation network for video nystagmography classification. - Xihe Qiu; Shaojie Shi; Bin Li 091; Xiaoyu Tan; Yongbin Gao; Shuo Li 001 (Knowl. Based Syst., 2025)

Uncertainty-guided and cross-modality attention network for liver tumor segmentation and quantification via integrating dynamic MRI. - Jianfeng Zhao 004; Shuo Li 001 (Knowl. Based Syst., 2025)

UM-Net: Rethinking ICGNet for polyp segmentation with uncertainty modeling. - Xiuquan Du; Xuebin Xu; Jiajia Chen; Xuejun Zhang; Lei Li 048; Heng Liu 003; Shuo Li 001 (Medical Image Anal., 2025)

An orchestration learning framework for ultrasound imaging: Prompt-Guided Hyper-Perception and Attention-Matching Downstream Synchronization. - Zehui Lin; Shuo Li 001; Shanshan Wang; Zhifan Gao; Yue Sun; Chan-Tong Lam; Xindi Hu; Xin Yang 009; Dong Ni 001; Tao Tan 002 (Medical Image Anal., 2025)

Knowledge-driven interpretative conditional diffusion model for contrast-free myocardial infarction enhancement synthesis. - Ronghui Qi; Min Tao; Chenchu Xu; Xiaohu Li; Siyuan Pan; Jie Chen 025; Shuo Li 001 (Medical Image Anal., 2025)

MeMGB-Diff: Memory-Efficient Multivariate Gaussian Bias Diffusion Model for 3D bias field correction. - Xingyu Qiu; Dong Liang 001; Gongning Luo; Xiangyu Li 004; Wei Wang 169; Kuanquan Wang; Shuo Li 001 (Medical Image Anal., 2025)

Dynamic spectrum-driven hierarchical learning network for polyp segmentation. - Haolin Wang; Kai-Ni Wang; Jie Hua 004; Yi Tang; Yang Chen 008; Guang-Quan Zhou; Shuo Li 001 (Medical Image Anal., 2025)

TSdetector: Temporal-Spatial self-correction collaborative learning for colonoscopy video detection. - Kai-Ni Wang; Haolin Wang; Guang-Quan Zhou; Yangang Wang; Ling Yang 006; Yang Chen 008; Shuo Li 001 (Medical Image Anal., 2025)

When evidence modeling meets knowledge distillation: Towards reliable contrast-enhanced knowledge distillation for non-contrast medical image segmentation. - Jianfeng Zhao 004; Shuo Li 001 (Medical Image Anal., 2025)

Contrast-Aware Network With Aggregated-Interacted Transformer and Multi-Granularity Aligned Contrastive Learning for Synthesizing Contrast-Enhanced Abdomen CT Imaging. - Qikui Zhu; Andrew L. Wentland; Shuo Li 001 (IEEE Trans. Computational Imaging, 2025)

Semantic Consistency-Guided Hybrid-Invariant Transformer for Domain Adaptation in Multiview Echo Quality Assessment. - Yiran Li; Yankun Cao; Xiaoxiao Cui; Yuezhong Zhang; Subhas Chandra Mukhopadhyay; Yujun Li; Lizhen Cui; Zhi Liu 004; Shuo Li 001 (IEEE Trans. Instrum. Meas., 2025)

Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis. - Shuo Li 001; Zihan Zhou; Yuanhao Liu; Jing Zhang; Hong Qian (CoRR, 2025)

Pixel is All You Need: Adversarial Spatio-Temporal Ensemble Active Learning for Salient Object Detection. - Zhenyu Wu; Wei Wang 169; Lin Wang; Yacong Li; Fengmao Lv; Qing Xia 002; Chenglizhao Chen; Aimin Hao; Shuo Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for FCL. - Xiaoming Qi; Jingyang Zhang; Huazhu Fu; Guanyu Yang 001; Shuo Li 001; Yueming Jin (CoRR, 2025)

Semisupervised Breast MRI Density Segmentation Integrating Fine and Rough Annotations. - Tianyu Xie 009; Yue Sun; Hongxu Yang; Shuo Li 001; Jinhong Song; Qimin Yang; Hao Chen 037; Mingxiang Wu; Tao Tan 002 (IEEE Trans. Artif. Intell., 2025)

ATM-Net: Anatomy-Aware Text-Guided Multi-Modal Fusion for Fine-Grained Lumbar Spine Segmentation. - Sheng Lian; Dengfeng Pan; Jianlong Cai; Guang-Yong Chen; Zhun Zhong; Zhiming Luo; Shen Zhao; Shuo Li 001 (CoRR, 2025)

Multi-Domain Adversarial Variational Bayesian Inference for Domain Generalization. - Zhifan Gao; Saidi Guo; Chenchu Xu; Jinglin Zhang; Mingming Gong; Javier Del Ser; Shuo Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning. - Yuting He 001; Boyu Wang 004; Rongjun Ge; Yang Chen 008; Guanyu Yang 001; Shuo Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

MedFILIP: Medical Fine-Grained Language-Image Pre-Training. - Xinjie Liang; Xiangyu Li 004; Fanding Li; Jie Jiang; Qing Dong; Wei Wang 169; Kuanquan Wang; Suyu Dong; Gongning Luo; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2025)

MedKAFormer: When Kolmogorov-Arnold Theorem Meets Vision Transformer for Medical Image Representation. - Guoli Wang; Qikui Zhu; Chaoda Song; Benzheng Wei; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2025)

Elucidating the Design Space of Arbitrary-Noise-Based Diffusion Models. - Xingyu Qiu; Mengying Yang; Xinghua Ma; Dong Liang 001; Yuzhen Li; Fanding Li; Gongning Luo; Wei Wang 169; Kuanquan Wang; Shuo Li 001 (CoRR, 2025)

VLD-Net: Localization and Detection of the Vertebrae From X-Ray Images by Reinforcement Learning With Adaptive Exploration Mechanism and Spine Anatomy Information. - Shun Xiang; Lei Zhang 202; Yuanquan Wang 001; Shoujun Zhou; Xing Zhao 006; Tao Zhang 006; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2025)

Common-Unique Decomposition Driven Diffusion Model for Contrast-Enhanced Liver MR Images Multi-Phase Interconversion. - Chenchu Xu; Shijie Tian; Boyan Wang; Jie Zhang; Kemal Polat; Adi Alhudhaif; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2025)

Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition. - Xiaoxiao Cui; Yiran Li; Kai He; Shanzhi Jiang; Mengli Xue; Wentao Li; Junhong Leng; Zhi Liu 004; Lizhen Cui; Shuo Li 001 (CoRR, 2025)