Tony C. W. Mok

48 papers A* 6Journal 26Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
TumorChain: Interleaved Multimodal Chain-of-Thought Reasoning for Traceable Clinical Tumor Analysis.
CoRR
Sijing Li, Zhongwei Qiu, Jiang Liu, Wenqiao Zhang, Tianwei Lin, Yihan Xie, Jianxiang An, Boxiang Yun, Chenglin Yang, Jun Xiao, Guangyu Guo, Jiawen Yao, Wei Liu, Yuan Gao, Ke Yan, Weiwei Cao, Zhilin Zheng, Tony C. W. Mok, Kai Cao, Yu Shi, Jiuyu Zhang, Jian Zhou, Beng Chin Ooi, Yingda Xia, Ling Zhang
2025 J jnl
Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges.
CoRR
Lasse Hansen, Wiebke Heyer, Christoph Großbröhmer, Frederic Madesta, Thilo Sentker, Jiazheng Wang, Yuxi Zhang, Hang Zhang, Min Liu, Junyi Wang, Xi Zhu, Yuhua Li, Liwen Wang, Daniil Morozov, Nazim Haouchine, Joel Honkamaa, Pekka Marttinen, Yichao Zhou, Zuopeng Tan, Zhuoyuan Wang, Yi Wang, Hongchao Zhou, Shunbo Hu, Yi Zhang, Qian Tao, Lukas Förner, Thomas Wendler, Bailiang Jian, Christian Wachinger, Jin Kim, Dan Ruan, Marek Wodzinski, Henning Müller, Tony C. W. Mok, Xi Jia, Jinming Duan, Mikael Brudfors, Seyed-Ahmad Ahmadi, Yunzheng Zhu, William Hsu, Tina Kapur, William M. Wells, Alexandra J. Golby, Aaron Carass, Harrison X. Bai, Yihao Liu, Perrine Paul-Gilloteaux, Joakim Lindblad, Natasa Sladoje, Andreas Walter, Junyu Chen, Reuben Dorent, Alessa Hering, Mattias P. Heinrich
2025 — conf
Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT.
MICCAI (2)
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
2025 J jnl
OncoReg: Medical Image Registration for Oncological Challenges.
CoRR
Wiebke Heyer, Yannic Elser, Lennart Berkel, Xinrui Song, Xuanang Xu, Pingkun Yan, Xi Jia, Jinming Duan, Zi Li, Tony C. W. Mok, Bowen Li, Christian Staackmann, Christoph Großbröhmer, Lasse Hansen, Alessa Hering, Malte Maria Sieren, Mattias P. Heinrich
2025 A* conf
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans.
AAAI
Heng Guo, Jianfeng Zhang, Jiaxing Huang, Tony C. W. Mok, Dazhou Guo, Ke Yan, Le Lu, Dakai Jin, Minfeng Xu
2025 J jnl
UniReg: Foundation Model for Controllable Medical Image Registration.
CoRR
Zi Li, Jianpeng Zhang, Tai Ma, Tony C. W. Mok, Yan-Jie Zhou, Zeli Chen, Xianghua Ye, Le Lu, Dakai Jin
2024 — ed.
Biomedical Image Registration - 11th International Workshop, WBIR 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
WBIR
Marc Modat, Ivor J. A. Simpson, Ziga Spiclin, Wietske A. P. Bastiaansen, Alessa Hering, Tony C. W. Mok
2024 J jnl
Boosting Medical Image-based Cancer Detection via Text-guided Supervision from Reports.
CoRR
Guangyu Guo, Jiawen Yao, Yingda Xia, Tony C. W. Mok, Zhilin Zheng, Junwei Han, Le Lu, Dingwen Zhang, Jian Zhou, Ling Zhang
2024 A* conf
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-Ray Expert Models.
CVPR
Weiwei Cao, Jianpeng Zhang, Yingda Xia, Tony C. W. Mok, Zi Li, Xianghua Ye, Le Lu, Jian Zheng, Yuxing Tang, Ling Zhang
2024 J jnl
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models.
CoRR
Weiwei Cao, Jianpeng Zhang, Yingda Xia, Tony C. W. Mok, Zi Li, Xianghua Ye, Le Lu, Jian Zheng, Yuxing Tang, Ling Zhang
2024 J jnl
Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans.
CoRR
Bizhe Bai, Yan-Jie Zhou, Yujian Hu, Tony C. W. Mok, Yilang Xiang, Le Lu, Hongkun Zhang, Minfeng Xu
2024 — conf
Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-contrast CT Scans.
MICCAI (1)
Bizhe Bai, Yan-Jie Zhou, Yujian Hu, Tony C. W. Mok, Yilang Xiang, Le Lu, Hongkun Zhang, Minfeng Xu
2024 A* conf
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data.
CVPR
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 J jnl
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data.
CoRR
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 J jnl
Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT.
CoRR
Zi Li, Ying Chen, Zeli Chen, Yanzhou Su, Tai Ma, Tony C. W. Mok, Yan-Jie Zhou, Yunhai Bai, Zhinlin Zheng, Le Lu, Yirui Wang, Jia Ge, Xianghua Ye, Senxiang Yan, Dakai Jin
2024 A* conf
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration.
CVPR
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 J jnl
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration.
CoRR
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 J jnl
Rapid and Accurate Diagnosis of Acute Aortic Syndrome using Non-contrast CT: A Large-scale, Retrospective, Multi-center and AI-based Study.
CoRR
Yujian Hu, Yilang Xiang, Yan-Jie Zhou, Yangyan He, Shifeng Yang, Xiaolong Du, Chunlan Den, Youyao Xu, Gaofeng Wang, Zhengyao Ding, Jingyong Huang, Wenjun Zhao, Xuejun Wu, Donglin Li, Qianqian Zhu, Zhenjiang Li, Chenyang Qiu, Ziheng Wu, Yunjun He, Chen Tian, Yihui Qiu, Zuodong Lin, Xiaolong Zhang, Yuan He, Zhenpeng Yuan, Xiaoxiang Zhou, Rong Fan, Ruihan Chen, Wenchao Guo, Jianpeng Zhang, Tony C. W. Mok, Zi Li, Le Lu, Dehai Lang, Xiaoqiang Li, Guofu Wang, Wei Lu, Zhengxing Huang, Minfeng Xu, Hongkun Zhang
2024 J jnl
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model using 3D Whole-body CT Scans.
CoRR
Heng Guo, Jianfeng Zhang, Jiaxing Huang, Tony C. W. Mok, Dazhou Guo, Ke Yan, Le Lu, Dakai Jin, Minfeng Xu
2023 — conf
Deformable Medical Image Registration Under Distribution Shifts with Neural Instance Optimization.
MLMI@MICCAI (1)
Tony C. W. Mok, Zi Li, Yingda Xia, Jiawen Yao, Ling Zhang, Jingren Zhou, Le Lu
2023 — conf
Groupwise Image Registration with Atlas of Multiple Resolutions Refined at Test Phase.
MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI
Ziyi He, Tony C. W. Mok, Albert C. S. Chung
2023 J jnl
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans. Medical Imaging
Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
2023 J jnl
Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images.
CoRR
Xiaoyu Bai, Fan Bai, Xiaofei Huo, Jia Ge, Tony C. W. Mok, Zi Li, Minfeng Xu, Jingren Zhou, Le Lu, Dakai Jin, Xianghua Ye, Jingjing Lu, Ke Yan
2023 — conf
SAMConvex: Fast Discrete Optimization for CT Registration Using Self-supervised Anatomical Embedding and Correlation Pyramid.
MICCAI (10)
Zi Li, Lin Tian, Tony C. W. Mok, Xiaoyu Bai, Puyang Wang, Jia Ge, Jingren Zhou, Le Lu, Xianghua Ye, Ke Yan, Dakai Jin
2023 J jnl
SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid.
CoRR
Zi Li, Lin Tian, Tony C. W. Mok, Xiaoyu Bai, Puyang Wang, Jia Ge, Jingren Zhou, Le Lu, Xianghua Ye, Ke Yan, Dakai Jin
2023 — conf
Unsupervised 3D Registration Through Optimization-Guided Cyclical Self-training.
MICCAI (10)
Alexander Bigalke, Lasse Hansen, Tony C. W. Mok, Mattias P. Heinrich
2023 J jnl
Unsupervised 3D registration through optimization-guided cyclical self-training.
CoRR
Alexander Bigalke, Lasse Hansen, Tony C. W. Mok, Mattias P. Heinrich
2022 A* conf
Affine Medical Image Registration with Coarse-to-Fine Vision Transformer.
CVPR
Tony C. W. Mok, Albert C. S. Chung
2022 J jnl
Affine Medical Image Registration with Coarse-to-Fine Vision Transformer.
CoRR
Tony C. W. Mok, Albert C. S. Chung
2022 — conf
Dcor-VLDet: A Vertebra Landmark Detection Network for Scoliosis Assessment with Dual Coordinate System.
MLMI@MICCAI
Han Zhang, Tony C. W. Mok, Albert C. S. Chung
2022 — conf
Joint Denoising and Super-Resolution for Fluorescence Microscopy Using Weakly-Supervised Deep Learning.
MOVI@MICCAI
Colin S. C. Tsang, Tony C. W. Mok, Albert C. S. Chung
2022 — conf
Robust Image Registration with Absent Correspondences in Pre-operative and Follow-Up Brain MRI Scans of Diffuse Glioma Patients.
BrainLes@MICCAI
Tony C. W. Mok, Albert C. S. Chung
2022 J jnl
Robust Image Registration with Absent Correspondences in Pre-operative and Follow-up Brain MRI Scans of Diffuse Glioma Patients.
CoRR
Tony C. W. Mok, Albert C. S. Chung
2022 J jnl
Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative and Post-Recurrence Brain Tumor MRI Scans.
CoRR
Tony C. W. Mok, Albert C. S. Chung
2022 — conf
Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative and Post-recurrence Brain Tumor MRI Scans.
MICCAI (6)
Tony C. W. Mok, Albert C. S. Chung
2021 — conf
Conditional Deep Laplacian Pyramid Image Registration Network in Learn2Reg Challenge.
MIDOG/MOOD/Learn2Reg@MICCAI
Tony C. W. Mok, Albert C. S. Chung
2021 — conf
Conditional Deformable Image Registration with Convolutional Neural Network.
MICCAI (4)
Tony C. W. Mok, Albert C. S. Chung
2021 J jnl
Conditional Deformable Image Registration with Convolutional Neural Network.
CoRR
Tony C. W. Mok, Albert C. S. Chung
2021 J jnl
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
CoRR
Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
2020 A* conf
Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks.
CVPR
Tony C. W. Mok, Albert C. S. Chung
2020 J jnl
Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks.
CoRR
Tony C. W. Mok, Albert C. S. Chung
2020 — conf
Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks.
MICCAI (3)
Tony C. W. Mok, Albert C. S. Chung
2020 J jnl
Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks.
CoRR
Tony C. W. Mok, Albert C. S. Chung
2020 — conf
Large Deformation Image Registration with Anatomy-Aware Laplacian Pyramid Networks.
MICCAI (Challenges)
Tony C. W. Mok, Albert C. S. Chung
2018 J jnl
3D Randomized Connection Network With Graph-Based Label Inference.
IEEE Trans. Image Process.
Siqi Bao, Pei Wang, Tony C. W. Mok, Albert C. S. Chung
2018 — conf
Learning Data Augmentation for Brain Tumor Segmentation with Coarse-to-Fine Generative Adversarial Networks.
BrainLes@MICCAI (1)
Tony C. W. Mok, Albert C. S. Chung
2018 J jnl
Learning Data Augmentation for Brain Tumor Segmentation with Coarse-to-Fine Generative Adversarial Networks.
CoRR
Tony C. W. Mok, Albert C. S. Chung
2017 J jnl
3D Randomized Connection Network with Graph-based Label Inference.
CoRR
Siqi Bao, Pei Wang, Tony C. W. Mok, Albert C. S. Chung