Tony C. W. Mok

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 36

Top Topics

Convolutional Neural Networks

Image Registration

Top Venues

IEEE Trans. Image Process.

Publications

Heng Guo, Jianfeng Zhang, Jiaxing Huang, Tony C. W. Mok, Dazhou Guo, Ke Yan, Le Lu, Dakai Jin, Minfeng Xu
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model using 3D Whole-body CT Scans. CoRR (2024)
Guangyu Guo, Jiawen Yao, Yingda Xia, Tony C. W. Mok, Zhilin Zheng, Junwei Han, Le Lu, Dingwen Zhang, Jian Zhou, Ling Zhang
Boosting Medical Image-based Cancer Detection via Text-guided Supervision from Reports. CoRR (2024)
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
Rapid and Accurate Diagnosis of Acute Aortic Syndrome using Non-contrast CT: A Large-scale, Retrospective, Multi-center and AI-based Study. CoRR (2024)
Bizhe Bai, Yan-Jie Zhou, Yujian Hu, Tony C. W. Mok, Yilang Xiang, Le Lu, Hongkun Zhang, Minfeng Xu
Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans. CoRR (2024)
Weiwei Cao, Jianpeng Zhang, Yingda Xia, Tony C. W. Mok, Zi Li, Xianghua Ye, Le Lu, Jian Zheng, Yuxing Tang, Ling Zhang
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models. CoRR (2024)
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
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data. CoRR (2024)
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
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration. CoRR (2024)
Alexander Bigalke, Lasse Hansen, Tony C. W. Mok, Mattias P. Heinrich
Unsupervised 3D registration through optimization-guided cyclical self-training. CoRR (2023)
Tony C. W. Mok, Zi Li, Yingda Xia, Jiawen Yao, Ling Zhang, Jingren Zhou, Le Lu
Deformable Medical Image Registration Under Distribution Shifts with Neural Instance Optimization. MLMI@MICCAI (1) (2023)
Ziyi He, Tony C. W. Mok, Albert C. S. Chung
Groupwise Image Registration with Atlas of Multiple Resolutions Refined at Test Phase. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI (2023)
Alexander Bigalke, Lasse Hansen, Tony C. W. Mok, Mattias P. Heinrich
Unsupervised 3D Registration Through Optimization-Guided Cyclical Self-training. MICCAI (10) (2023)
Zi Li, Lin Tian, Tony C. W. Mok, Xiaoyu Bai, Puyang Wang, Jia Ge, Jingren Zhou, Le Lu, Xianghua Ye, Ke Yan, Dakai Jin
SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid. CoRR (2023)
Zi Li, Lin Tian, Tony C. W. Mok, Xiaoyu Bai, Puyang Wang, Jia Ge, Jingren Zhou, Le Lu, Xianghua Ye, Ke Yan, Dakai Jin
SAMConvex: Fast Discrete Optimization for CT Registration Using Self-supervised Anatomical Embedding and Correlation Pyramid. MICCAI (10) (2023)
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
Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images. CoRR (2023)
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
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 42 (3) (2023)
Tony C. W. Mok, Albert C. S. Chung
Affine Medical Image Registration with Coarse-to-Fine Vision Transformer. CoRR (2022)
Tony C. W. Mok, Albert C. S. Chung
Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative and Post-recurrence Brain Tumor MRI Scans. MICCAI (6) (2022)
Tony C. W. Mok, Albert C. S. Chung
Affine Medical Image Registration with Coarse-to-Fine Vision Transformer. CVPR (2022)
Colin S. C. Tsang, Tony C. W. Mok, Albert C. S. Chung
Joint Denoising and Super-Resolution for Fluorescence Microscopy Using Weakly-Supervised Deep Learning. MOVI@MICCAI (2022)
Han Zhang, Tony C. W. Mok, Albert C. S. Chung
Dcor-VLDet: A Vertebra Landmark Detection Network for Scoliosis Assessment with Dual Coordinate System. MLMI@MICCAI (2022)
Tony C. W. Mok, Albert C. S. Chung
Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative and Post-Recurrence Brain Tumor MRI Scans. CoRR (2022)
Tony C. W. Mok, Albert C. S. Chung
Robust Image Registration with Absent Correspondences in Pre-operative and Follow-Up Brain MRI Scans of Diffuse Glioma Patients. BrainLes@MICCAI (2022)
Tony C. W. Mok, Albert C. S. Chung
Robust Image Registration with Absent Correspondences in Pre-operative and Follow-up Brain MRI Scans of Diffuse Glioma Patients. CoRR (2022)
Tony C. W. Mok, Albert C. S. Chung
Conditional Deformable Image Registration with Convolutional Neural Network. MICCAI (4) (2021)
Tony C. W. Mok, Albert C. S. Chung
Conditional Deep Laplacian Pyramid Image Registration Network in Learn2Reg Challenge. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Tony C. W. Mok, Albert C. S. Chung
Conditional Deformable Image Registration with Convolutional Neural Network. CoRR (2021)
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
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR (2021)
Tony C. W. Mok, Albert C. S. Chung
Large Deformation Image Registration with Anatomy-Aware Laplacian Pyramid Networks. MICCAI (Challenges) (2020)
Tony C. W. Mok, Albert C. S. Chung
Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks. CoRR (2020)
Tony C. W. Mok, Albert C. S. Chung
Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks. CVPR (2020)
Tony C. W. Mok, Albert C. S. Chung
Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks. CoRR (2020)
Tony C. W. Mok, Albert C. S. Chung
Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks. MICCAI (3) (2020)
Tony C. W. Mok, Albert C. S. Chung
Learning Data Augmentation for Brain Tumor Segmentation with Coarse-to-Fine Generative Adversarial Networks. CoRR (2018)
Tony C. W. Mok, Albert C. S. Chung
Learning Data Augmentation for Brain Tumor Segmentation with Coarse-to-Fine Generative Adversarial Networks. BrainLes@MICCAI (1) (2018)
Siqi Bao, Pei Wang, Tony C. W. Mok, Albert C. S. Chung
3D Randomized Connection Network With Graph-Based Label Inference. IEEE Trans. Image Process. 27 (8) (2018)
Siqi Bao, Pei Wang, Tony C. W. Mok, Albert C. S. Chung
3D Randomized Connection Network with Graph-based Label Inference. CoRR (2017)