Refining Graph Partitioning for Social Network Clustering. - Tieyun Qian; Yang Yang 009; Shuo Wang 011 (WISE, 2010)

Exploiting small world property for network clustering. - Tieyun Qian; Qing Li 001; Jaideep Srivastava; Zhiyong Peng 001; Yang Yang 009; Shuo Wang 011 (World Wide Web, 2014)

Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction. - Shuo Wang 011; Chengliang Dai; Yuanhan Mo; Elsa D. Angelini; Yike Guo; Wenjia Bai (BrainLes@MICCAI (2), 2019)

Bayesian Inference-Based Estimation of Normal Aortic, Aneurysmal and Atherosclerotic Tissue Mechanical Properties: From Material Testing, Modeling and Histology. - Shuo Wang 011; Aziz Tokgoz; Yuan Huang 009; Yongxue Zhang; Jiaxuan Feng; Priya Sastry; Chang Sun; Nichola Figg; Qingsheng Lu; Michael P. F. Sutcliffe; Zhongzhao Teng; Jonathan H. Gillard (IEEE Trans. Biomed. Eng., 2019)

Self-training for Brain Tumour Segmentation with Uncertainty Estimation and Biophysics-Guided Survival Prediction. - Chengliang Dai; Shuo Wang 011; Hadrien Raynaud; Yuanhan Mo; Elsa D. Angelini; Yike Guo; Wenjia Bai (BrainLes@MICCAI (1), 2020)

Realistic Adversarial Data Augmentation for MR Image Segmentation. - Chen Chen 042; Chen Qin; Huaqi Qiu; Cheng Ouyang; Shuo Wang 011; Liang Chen 018; Giacomo Tarroni; Wenjia Bai; Daniel Rueckert (MICCAI (1), 2020)

Suggestive Annotation of Brain Tumour Images with Gradient-Guided Sampling. - Chengliang Dai; Shuo Wang 011; Yuanhan Mo; Kaichen Zhou; Elsa D. Angelini; Yike Guo; Wenjia Bai (MICCAI (4), 2020)

Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI. - Chen Qin; Shuo Wang 011; Chen Chen 042; Huaqi Qiu; Wenjia Bai; Daniel Rueckert (MICCAI (3), 2020)

Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation. - Shuo Wang 011; Giacomo Tarroni; Chen Qin; Yuanhan Mo; Chengliang Dai; Chen Chen 042; Ben Glocker; Yike Guo; Daniel Rueckert; Wenjia Bai (MICCAI (4), 2020)

A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19. - Shuo Wang 011; Xian Yang 001; Ling Li 010; Philip Nadler; Rossella Arcucci; Yuan Huang 009; Zhongzhao Teng; Yike Guo (IEEE Comput. Intell. Mag., 2020)

Efficient Deep Representation Learning by Adaptive Latent Space Sampling. - Yuanhan Mo; Shuo Wang 011; Chengliang Dai; Rui Zhou; Zhongzhao Teng; Wenjia Bai; Yike Guo (CoRR, 2020)

An Epidemiological Modelling Approach for Covid19 via Data Assimilation. - Philip Nadler; Shuo Wang 011; Rossella Arcucci; Xian Yang 001; Yike Guo (CoRR, 2020)

Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling. - Chengliang Dai; Shuo Wang 011; Yuanhan Mo; Elsa D. Angelini; Yike Guo; Wenjia Bai (CoRR, 2020)

Quality-Aware Model Ensemble for Brain Tumor Segmentation. - Kang Wang 004; Haoran Wang 009; Zeyang Li; Mingyuan Pan; Manning Wang; Shuo Wang 011; Zhijian Song (BrainLes@MICCAI (2), 2021)

Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation. - Shuo Wang 011; Chen Qin; Nicoló Savioli; Chen Chen 042; Declan P. O'Regan; Stuart A. Cook; Yike Guo; Daniel Rueckert; Wenjia Bai (MICCAI (3), 2021)

Non-invasive Assessment of Hepatic Venous Pressure Gradient (HVPG) Based on MR Flow Imaging and Computational Fluid Dynamics. - Kexin Wang; Shuo Wang 011; Minghua Xiong; Chengyan Wang; He Wang 016 (MICCAI (7), 2021)

Product semantics translation from brain activity via adversarial learning. - Pan Wang 005; Zhifeng Gong; Shuo Wang 011; Hao Dong 003; Jialu Fan; Ling Li 010; Peter R. N. Childs; Yike Guo (CoRR, 2021)

Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation. - Nicoló Savioli; Antonio de Marvao; Wenjia Bai; Shuo Wang 011; Stuart A. Cook; Calvin W. L. Chin; Daniel Rueckert; Declan P. O'Regan (CoRR, 2021)

Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation. - Chen Chen 042; Chen Qin; Cheng Ouyang; Shuo Wang 011; Huaqi Qiu; Liang Chen 018; Giacomo Tarroni; Wenjia Bai; Daniel Rueckert (CoRR, 2021)

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - Raghav Mehta; Angelos Filos; Ujjwal Baid; Chiharu Sako; Richard McKinley; Michael Rebsamen; Katrin Dätwyler; Raphael Meier; Piotr Radojewski; Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh; et al. (CoRR, 2021)

Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation. - Cheng Ouyang; Shuo Wang 011; Chen Chen 042; Zeju Li; Wenjia Bai; Bernhard Kainz; Daniel Rueckert (UNSURE@MICCAI, 2022)

Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data. - Mengyun Qiao; Berke Doga Basaran; Huaqi Qiu; Shuo Wang 011; Yi Guo 002; Yuanyuan Wang 001; Paul M. Matthews; Daniel Rueckert; Wenjia Bai (STACOM@MICCAI, 2022)

The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion). - Shuo Wang 011; Chen Qin; Chengyan Wang; Kang Wang 004; Haoran Wang 009; Chen Chen 042; Cheng Ouyang; Xutong Kuang; Chengliang Dai; Yuanhan Mo; Zhang Shi; Chenchen Dai; et al. (CoRR, 2022)

EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset). - Haoran Wang 009; Yan Zhu; Wenzheng Qin; Yizhe Zhang 001; Pinghong Zhou; Quanlin Li; Shuo Wang 011; Zhijian Song (CoRR, 2022)

Enhancing MR image segmentation with realistic adversarial data augmentation. - Chen Chen 042; Chen Qin; Cheng Ouyang; Zeju Li; Shuo Wang 011; Huaqi Qiu; Liang Chen 018; Giacomo Tarroni; Wenjia Bai; Daniel Rueckert (Medical Image Anal., 2022)

Suggestive annotation of brain MR images with gradient-guided sampling. - Chengliang Dai; Shuo Wang 011; Yuanhan Mo; Elsa D. Angelini; Yike Guo; Wenjia Bai (Medical Image Anal., 2022)

Beyond fine-tuning: Classifying high resolution mammograms using function-preserving transformations. - Tao Wei; Angelica I. Avilés-Rivero; Shuo Wang 011; Yuan Huang 009; Fiona J. Gilbert; Carola-Bibiane Schönlieb; Chang Wen Chen (Medical Image Anal., 2022)

Bayesian data assimilation for estimating instantaneous reproduction numbers during epidemics: Applications to COVID-19. - Xian Yang 001; Shuo Wang 011; Yuting Xing; Ling Li 010; Richard Yi Da Xu; Karl J. Friston; Yike Guo (PLoS Comput. Biol., 2022)

Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification. - Linhao Qu; Zhiwei Yang; Minghong Duan; Yingfan Ma; Shuo Wang 011; Manning Wang; Zhijian Song (ICCV, 2023)

RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification. - Yizhe Zhang 001; Shuo Wang 011; Yejia Zhang; Danny Z. Chen (UNSURE@MICCAI, 2023)

Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model. - Yizhe Zhang 001; Tao Zhou 002; Shuo Wang 011; Peixian Liang; Yejia Zhang; Danny Z. Chen (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation. - Yizhe Zhang 001; Tao Zhou 002; Shuo Wang 011; Ye Wu 001; Pengfei Gu; Danny Z. Chen (CoRR, 2023)

CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction. - Chengyan Wang; Jun Lyu; Shuo Wang 011; Chen Qin; Kunyuan Guo; Xinyu Zhang; Xiaotong Yu; Yan Li 064; Fanwen Wang; Jianhua Jin; Zhang Shi; Ziqiang Xu; et al. (CoRR, 2023)

Knowledge Extraction and Distillation from Large-Scale Image-Text Colonoscopy Records Leveraging Large Language and Vision Models. - Shuo Wang 011; Yan Zhu; Xiaoyuan Luo; Zhiwei Yang; Yizhe Zhang 001; Peiyao Fu; Manning Wang; Zhijian Song; Quanlin Li; Pinghong Zhou; Yike Guo (CoRR, 2023)

SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model. - Yizhe Zhang 001; Shuo Wang 011; Tao Zhou 002; Qi Dou 001; Danny Z. Chen (CoRR, 2023)

Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior. - Chen Qin; Shuo Wang 011; Chen Chen 042; Wenjia Bai; Daniel Rueckert (Medical Image Anal., 2023)

Improving bowel preparation for colonoscopy with a smartphone application driven by artificial intelligence. - Yan Zhu; Danfeng Zhang; Huili Wu; Peiyao Fu; Li Feng; Kun Zhuang; Zihan Geng; Kunkun Li; Xiaohong Zhang; Boqun Zhu; Wenzheng Qin; Shengli Lin; et al. (npj Digit. Medicine, 2023)

Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction. - Jun Lyu; Guangyuan Li; Chengyan Wang; Chen Qin; Shuo Wang 011; Qi Dou 001; Jing Qin 001 (Medical Image Anal., 2023)

Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation. - Zhiwei Yang; Kexue Fu 001; Minghong Duan; Linhao Qu; Shuo Wang 011; Zhijian Song (CVPR, 2024)

Transduction Enhanced Inductive Inference for Imbalanced Classification in Medical Images. - Yizhe Zhang 001; Tao Zhou 002; Ye Wu 001; Shuo Wang 011; Danny Z. Chen (ISBI, 2024)

An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation. - Qing Li 001; Yizhe Zhang 001; Yan Li 064; Jun Lyu; Meng Liu; Longyu Sun; Mengting Sun; Qirong Li; Wenyue Mao; Xinran Wu; Yajing Zhang; Yinghua Chu; et al. (MICCAI (12), 2024)

EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis. - Ruijie Yang; Yan Zhu; Peiyao Fu; Yizhe Zhang 001; Zhihua Wang 008; Quanlin Li; Pinghong Zhou; Xian Yang 001; Shuo Wang 011 (MICCAI (10), 2024)

Holistic Consistency for Subject-Level Segmentation Quality Assessment in Medical Image Segmentation. - Yizhe Zhang 001; Tao Zhou 002; Qiang Chen 004; Qi Dou 001; Shuo Wang 011 (UNSURE@MICCAI, 2024)

FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification. - Kexue Fu 001; Xiaoyuan Luo; Linhao Qu; Shuo Wang 011; Ying Xiong; Ilias Maglogiannis; Longxiang Gao; Manning Wang (NeurIPS, 2024)

Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation. - Yizhe Zhang 001; Tao Zhou 002; Ye Wu 001; Pengfei Gu; Shuo Wang 011 (PRCV (14), 2024)

Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation. - Zhiwei Yang; Yucong Meng; Kexue Fu 001; Shuo Wang 011; Zhijian Song (CoRR, 2024)

Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation. - Tianyu Huang; Tao Zhou 002; Weidi Xie; Shuo Wang 011; Qi Dou 001; Yizhe Zhang 001 (CoRR, 2024)

CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI. - Zi Wang 005; Fanwen Wang; Chen Qin; Jun Lyu; Ouyang Cheng; Shuo Wang 011; Yan Li 064; Mengyao Yu; Haoyu Zhang; Kunyuan Guo; Zhang Shi; Qirong Li; et al. (CoRR, 2024)

A Personalised 3D+t Mesh Generative Model for Unveiling Normal Heart Dynamics. - Mengyun Qiao; Kathryn A. McGurk; Shuo Wang 011; Paul M. Matthews; Declan P. O'Regan; Wenjia Bai (CoRR, 2024)

Towards Ground-truth-free Evaluation of Any Segmentation in Medical Images. - Ahjol Senbi; Tianyu Huang; Fei Lyu 004; Qing Li 001; Yuhui Tao; Wei Shao; Qiang Chen 004; Chengyan Wang; Shuo Wang 011; Tao Zhou 002; Yizhe Zhang 001 (CoRR, 2024)

STADNet: Spatial-Temporal Attention-Guided Dual-Path Network for cardiac cine MRI super-resolution. - Jun Lyu; Shuo Wang 011; Yapeng Tian; Jing Zou; Shunjie Dong; Chengyan Wang; Angelica I. Avilés-Rivero; Jing Qin 001 (Medical Image Anal., 2024)

Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation. - Yuanhan Mo; Fangde Liu; Guang Yang 006; Shuo Wang 011; Jian-Qing Zheng; Fuping Wu; Bartlomiej W. Papiez; Douglas McIlwraith; Taigang He; Yike Guo (Medical Image Anal., 2024)

TestFit: A plug-and-play one-pass test time method for medical image segmentation. - Yizhe Zhang 001; Tao Zhou 002; Yuhui Tao; Shuo Wang 011; Ye Wu 001; Benyuan Liu; Pengfei Gu; Qiang Chen 004; Danny Z. Chen (Medical Image Anal., 2024)

CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy. - Mengyun Qiao; Shuo Wang 011; Huaqi Qiu; Antonio de Marvao; Declan P. O'Regan; Daniel Rueckert; Wenjia Bai (IEEE Trans. Medical Imaging, 2024)

MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation. - Zhiwei Yang; Yucong Meng; Kexue Fu 001; Shuo Wang 011; Zhijian Song (AAAI, 2025)

Exploring CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation. - Zhiwei Yang; Yucong Meng; Kexue Fu 001; Feilong Tang; Shuo Wang 011; Zhijian Song (CVPR, 2025)

Recent advances in data-driven fusion of multi-modal imaging and genomics for precision medicine. - Shuo Wang 011; Meng Liu; Yan Li 064; Xinyu Zhang; Mengting Sun; Zian Wang; Ruokun Li; Qirong Li; Qing Li 022; Yili He; Xumei Hu; Longyu Sun; et al. (Inf. Fusion, 2025)

The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023. - Jun Lyu; Chen Qin; Shuo Wang 011; Fanwen Wang; Yan Li 064; Zi Wang 005; Kunyuan Guo; Ouyang Cheng; Michael Tänzer; Meng Liu; Longyu Sun; Mengting Sun; et al. (Medical Image Anal., 2025)

Robust Polyp Detection and Diagnosis through Compositional Prompt-Guided Diffusion Models. - Jia Yu; Yan Zhu; Peiyao Fu; Tianyi Chen; Junbo Huang; Quanlin Li; Pinghong Zhou; Zhihua Wang 008; Fei Wu 001; Shuo Wang 011; Xian Yang 001 (CoRR, 2025)

Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records. - Yili He; Yan Zhu; Peiyao Fu; Ruijie Yang; Tianyi Chen; Zhihua Wang 008; Quanlin Li; Pinghong Zhou; Xian Yang 001; Shuo Wang 011 (CoRR, 2025)

EndoFinder: Online Lesion Retrieval for Explainable Colorectal Polyp Diagnosis Leveraging Latent Scene Representations. - Ruijie Yang; Yan Zhu; Peiyao Fu; Yizhe Zhang 001; Zhihua Wang 008; Quanlin Li; Pinghong Zhou; Xian Yang 001; Shuo Wang 011 (CoRR, 2025)

Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge. - Kang Wang 004; Chen Qin; Zhang Shi; Haoran Wang 009; Xiwen Zhang; Chen Chen 042; Cheng Ouyang; Chengliang Dai; Yuanhan Mo; Chenchen Dai; Xutong Kuang; Ruizhe Li; et al. (CoRR, 2025)