| 2025 | AAAI | Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans. | Heng Guo, Jianfeng Zhang, Jiaxing Huang, Tony C. W. Mok, Dazhou Guo, Ke Yan, Le Lu, Dakai Jin, Minfeng Xu |
| 2025 | MICCAI | Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT. | Zi Li, Ying Chen, Zeli Chen, Yanzhou Su, Tai Ma, Tony C. W. Mok, Yan-Jie Zhou, Yunhao Bai, Zhilin Zheng, Le Lu, Yirui Wang, Jia Ge, Senxiang Yan, Xianghua Ye, Dakai Jin |
| 2024 | CVPR | Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-Ray Expert Models. | Weiwei Cao, Jianpeng Zhang, Yingda Xia, Tony C. W. Mok, Zi Li, Xianghua Ye, Le Lu, Jian Zheng, Yuxing Tang, Ling Zhang |
| 2024 | CVPR | CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data. | Wei Fang, Yuxing Tang, Heng Guo, Mingze Yuan, Tony C. W. Mok, Ke Yan, Jiawen Yao, Xin Chen, Zaiyi Liu, Le Lu, Ling Zhang, Minfeng Xu |
| 2024 | CVPR | Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration. | Tony C. W. Mok, Zi Li, Yunhao Bai, Jianpeng Zhang, Wei Liu, Yan-Jie Zhou, Ke Yan, Dakai Jin, Yu Shi, Xiaoli Yin, Le Lu, Ling Zhang |
| 2024 | MICCAI | Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-contrast CT Scans. | Bizhe Bai, Yan-Jie Zhou, Yujian Hu, Tony C. W. Mok, Yilang Xiang, Le Lu, Hongkun Zhang, Minfeng Xu |
| 2023 | MICCAI | Unsupervised 3D Registration Through Optimization-Guided Cyclical Self-training. | Alexander Bigalke, Lasse Hansen, Tony C. W. Mok, Mattias P. Heinrich |
| 2023 | MICCAI | Groupwise Image Registration with Atlas of Multiple Resolutions Refined at Test Phase. | Ziyi He, Tony C. W. Mok, Albert C. S. Chung |
| 2023 | MICCAI | SAMConvex: Fast Discrete Optimization for CT Registration Using Self-supervised Anatomical Embedding and Correlation Pyramid. | Zi Li, Lin Tian, Tony C. W. Mok, Xiaoyu Bai, Puyang Wang, Jia Ge, Jingren Zhou, Le Lu, Xianghua Ye, Ke Yan, Dakai Jin |
| 2022 | CVPR | Affine Medical Image Registration with Coarse-to-Fine Vision Transformer. | Tony C. W. Mok, Albert C. S. Chung |
| 2022 | MICCAI | Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative and Post-recurrence Brain Tumor MRI Scans. | Tony C. W. Mok, Albert C. S. Chung |
| 2022 | MICCAI | Joint Denoising and Super-Resolution for Fluorescence Microscopy Using Weakly-Supervised Deep Learning. | Colin S. C. Tsang, Tony C. W. Mok, Albert C. S. Chung |
| 2022 | MICCAI | Dcor-VLDet: A Vertebra Landmark Detection Network for Scoliosis Assessment with Dual Coordinate System. | Han Zhang, Tony C. W. Mok, Albert C. S. Chung |
| 2021 | MICCAI | Conditional Deformable Image Registration with Convolutional Neural Network. | Tony C. W. Mok, Albert C. S. Chung |
| 2021 | MICCAI | Conditional Deep Laplacian Pyramid Image Registration Network in Learn2Reg Challenge. | Tony C. W. Mok, Albert C. S. Chung |
| 2020 | CVPR | Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks. | Tony C. W. Mok, Albert C. S. Chung |
| 2020 | MICCAI | Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks. | Tony C. W. Mok, Albert C. S. Chung |
| 2020 | MICCAI | Large Deformation Image Registration with Anatomy-Aware Laplacian Pyramid Networks. | Tony C. W. Mok, Albert C. S. Chung |
| 2018 | MICCAI | Learning Data Augmentation for Brain Tumor Segmentation with Coarse-to-Fine Generative Adversarial Networks. | Tony C. W. Mok, Albert C. S. Chung |