| 2025 | MICCAI | Evaluating Foundation Models with Pathological Concept Learning for Kidney Cancer. | Shangqi Gao, Sihan Wang, Yibo Gao, Boming Wang, Xiahai Zhuang, Anne Warren, Grant D. Stewart, James O. Jones, Mireia Crispin-Ortuzar |
| 2025 | MICCAI | Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification. | Yibo Gao, Hangqi Zhou, Zheyao Gao, Bomin Wang, Shangqi Gao, Sihan Wang, Xiahai Zhuang |
| 2025 | MICCAI | Uncertainty-Supervised Interpretable and Robust Evidential Segmentation. | Yuzhu Li, An Sui, Fuping Wu, Xiahai Zhuang |
| 2025 | MICCAI | Multi-modal MRI Translation via Evidential Regression and Distribution Calibration. | Jiyao Liu, Shangqi Gao, Yuxin Li, Lihao Liu, Xin Gao, Zhaohu Xing, Junzhi Ning, Yanzhou Su, Xiao-Yong Zhang, Junjun He, Ningsheng Xu, Xiahai Zhuang |
| 2025 | MICCAI | Personalized 4D Whole Heart Geometry Reconstruction from Cine MRI for Cardiac Digital Twins. | Xiaoyue Liu, Xicheng Sheng, Xiahai Zhuang, Vicente Grau, Mark YY Chan, Ching-Hui Sia, Lei Li |
| 2025 | MICCAI | BayeSMM: Robust Deep Combined Computing Tackling Heavy-Tailed Distribution in Medical Images. | Yuanye Liu, Ruoxuan Zhen, Shangqi Gao, Xinzhe Luo, Xin Gao, Qingchao Chen, Xiahai Zhuang |
| 2025 | MICCAI | Automated Characterization of Myocardial Scar Topological Patterns for Ventricular Tachycardia Screening. | Xicheng Sheng, Yang Zhang, Lei Li, Bailiang Chen, Freddy Odille, Xiahai Zhuang |
| 2024 | AAAI | A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition. | Han Lu, Xiahai Zhuang, Qiang Luo |
| 2024 | MICCAI | Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis. | Yibo Gao, Zheyao Gao, Xin Gao, Yuanye Liu, Bomin Wang, Xiahai Zhuang |
| 2024 | MICCAI | Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning. | Bomin Wang, Xinzhe Luo, Xiahai Zhuang |
| 2024 | MICCAI | Context-Guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data. | Kaiwen Wan, Bomin Wang, Fuping Wu, Haiyu Gong, Xiahai Zhuang |
| 2023 | MICCAI | A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging. | Zheyao Gao, Yuanye Liu, Fuping Wu, Nannan Shi, Yuxin Shi, Xiahai Zhuang |
| 2023 | MICCAI | Multi-phase Liver-Specific DCE-MRI Translation via A Registration-Guided GAN. | Jiyao Liu, Yuxin Li, Nannan Shi, Yuncheng Zhou, Shangqi Gao, Yuxin Shi, Xiao-Yong Zhang, Xiahai Zhuang |
| 2022 | CVPR | CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision. | Ke Zhang, Xiahai Zhuang |
| 2022 | MICCAI | Decoupling Predictions in Distributed Learning for Multi-center Left Atrial MRI Segmentation. | Zheyao Gao, Lei Li, Fuping Wu, Sihan Wang, Xiahai Zhuang |
| 2022 | MICCAI | Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation. | Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang |
| 2022 | MICCAI | ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation. | Ke Zhang, Xiahai Zhuang |
| 2021 | CVPR | VSpSR: Explorable Super-Resolution via Variational Sparse Representation. | Hangqi Zhou, Chao Huang, Shangqi Gao, Xiahai Zhuang |
| 2021 | MICCAI | AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-center LGE MRIs. | Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang |
| 2020 | MICCAI | Cross-Modality Multi-atlas Segmentation Using Deep Neural Networks. | Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang |
| 2020 | MICCAI | Joint Left Atrial Segmentation and Scar Quantification Based on a DNN with Spatial Encoding and Shape Attention. | Lei Li, Xin Weng, Julia A. Schnabel, Xiahai Zhuang |
| 2020 | MICCAI | Random Style Transfer Based Domain Generalization Networks Integrating Shape and Spatial Information. | Lei Li, Veronika A. Zimmer, Wangbin Ding, Fuping Wu, Liqin Huang, Julia A. Schnabel, Xiahai Zhuang |
| 2020 | MICCAI | MvMM-RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation. | Xinzhe Luo, Xiahai Zhuang |
| 2020 | MICCAI | Recognition and Standardization of Cardiac MRI Orientation via Multi-tasking Learning and Deep Neural Networks. | Ke Zhang, Xiahai Zhuang |
| 2020 | MICCAI | Anatomy Prior Based U-net for Pathology Segmentation with Attention. | Yuncheng Zhou, Ke Zhang, Xinzhe Luo, Sihan Wang, Xiahai Zhuang |
| 2019 | CVPR | Multi-Scale Deep Neural Networks for Real Image Super-Resolution. | Shangqi Gao, Xiahai Zhuang |
| 2019 | MICCAI | Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors. | Qian Yue, Xinzhe Luo, Qing Ye, Lingchao Xu, Xiahai Zhuang |
| 2018 | MICCAI | Left Atrial Segmentation Combining Multi-atlas Whole Heart Labeling and Shape-Based Atlas Selection. | Marta Nuez Garcia, Xiahai Zhuang, Gerard Sanroma, Lei Li, Lingchao Xu, Constantine Butakoff, Oscar Camara |
| 2018 | MICCAI | Atrial Scar Segmentation via Potential Learning in the Graph-Cut Framework. | Lei Li, Guang Yang, Fuping Wu, Tom Wong, Raad Mohiaddin, David N. Firmin, Jenny Keegan, Lingchao Xu, Xiahai Zhuang |
| 2018 | MICCAI | Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images. | Zenglin Shi, Guodong Zeng, Le Zhang, Xiahai Zhuang, Lei Li, Guang Yang, Guoyan Zheng |
| 2018 | MICCAI | Atrial Fibrosis Quantification Based on Maximum Likelihood Estimator of Multivariate Images. | Fuping Wu, Lei Li, Guang Yang, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Lingchao Xu, Xiahai Zhuang |
| 2016 | MICCAI | Multivariate Mixture Model for Cardiac Segmentation from Multi-Sequence MRI. | Xiahai Zhuang |
| 2014 | MICCAI | Multi-atlas Spectral PatchMatch: Application to Cardiac Image Segmentation. | Wenzhe Shi, Herve Lombaert, Wenjia Bai, Christian Ledig, Xiahai Zhuang, Antonio M. Simoes Monteiro de Marvao, Timothy Dawes, Declan P. O'Regan, Daniel Rueckert |
| 2013 | MICCAI | Model-Guided Directional Minimal Path for Fully Automatic Extraction of Coronary Centerlines from Cardiac CTA. | Liu Liu, Wenzhe Shi, Daniel Rueckert, Mingxing Hu, Sbastien Ourselin, Xiahai Zhuang |
| 2013 | MICCAI | Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch. | Wenzhe Shi, Jose Caballero, Christian Ledig, Xiahai Zhuang, Wenjia Bai, Kanwal K. Bhatia, Antonio M. Simoes Monteiro de Marvao, Tim Dawes, Declan P. O'Regan, Daniel Rueckert |
| 2012 | MICCAI | Registration Using Sparse Free-Form Deformations. | Wenzhe Shi, Xiahai Zhuang, Luis Pizarro, Wenjia Bai, Haiyan Wang, Kai-Pin Tung, Philip J. Edwards, Daniel Rueckert |
| 2011 | MICCAI | A Multi-image Graph Cut Approach for Cardiac Image Segmentation and Uncertainty Estimation. | Wenzhe Shi, Xiahai Zhuang, Robin Wolz, Simon G. Duckett, Kai-Pin Tung, Haiyan Wang, Sbastien Ourselin, Philip J. Edwards, Reza Razavi, Daniel Rueckert |
| 2011 | MICCAI | Automatic Cardiac Motion Tracking Using Both Untagged and 3D Tagged MR Images. | Haiyan Wang, Wenzhe Shi, Xiahai Zhuang, Simon G. Duckett, Kai-Pin Tung, Philip J. Edwards, Reza Razavi, Sbastien Ourselin, Daniel Rueckert |
| 2010 | MICCAI | Whole Heart Segmentation of Cardiac MRI Using Multiple Path Propagation Strategy. | Xiahai Zhuang, Kelvin K. Leung, Kawal S. Rhode, Reza Razavi, David J. Hawkes, Sbastien Ourselin |
| 2008 | MICCAI | An Atlas-Based Segmentation Propagation Framework Using Locally Affine Registration - Application to Automatic Whole Heart Segmentation. | Xiahai Zhuang, Kawal S. Rhode, Simon R. Arridge, Reza Razavi, Derek L. G. Hill, David J. Hawkes, Sbastien Ourselin |
| 2005 | CIS | A Novel Multi-stage 3D Medical Image Segmentation: Methodology and Validation. | Jianfeng Xu, Lixu Gu, Xiahai Zhuang, Terry M. Peters |
| 2005 | CIS | Medical Image Alignment by Normal Vector Information. | Xiahai Zhuang, Lixu Gu, Jianfeng Xu |