Tony Chi Wing MOK

Algorithm Engineer

Alibaba DAMO Academy,
Hangzhou, China

Email: cwmokab at connect dot ust dot hk

Biography

I am an Algorithm Engineer at Alibaba DAMO Academy, Hangzhou, China. Before that, I got my Ph.D. and BS degrees both from the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology. My Ph.D. advisor is Prof. Albert Chi Shing CHUNG. My research interests are in medical image registration, medical image analysis and deep learning.

News

• [03/2024] One paper about Deformable Multi-Modality Medical Image Registration is accepted by CVPR 2024.

• [10/2023] Our method "Deformable Medical Image Registration Under Distribution Shifts with Neural Instance Optimization" combined with LapIRN ranks 1^st place in the MICCAI Learn2Reg 2023 challenge.

• [09/2022] Our method "Unsupervised Deformable Image Registration with Absent Correspondences" combined with the instance optimization ranks 1^st place in the the MICCAI BraTS-Reg 2022 challenge.

• [06/2022] Our paper "Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative and Post-Recurrence Brain Tumor MRI Scans" is accepted by MICCAI 2022.

• [03/2022] One paper about medical affine registration with vision transformer is accepted by CVPR 2022.

• [09/2021] Our method "Conditional Deformable Image Registration with Convolutional Neural Network" ranks 1^st place in the MICCAI Learn2Reg 2021 challenge.

• [06/2021] Our paper "Conditional Deformable Image Registration with Convolutional Neural Network" is early accepted by MICCAI 2021.

• [10/2020] Our method "Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks" ranks 1^st place in the MICCAI Learn2Reg 2020 challenge.

• [05/2020] One paper about image registration is accepted by MICCAI 2020.

• [03/2020] One paper about diffeomorphic image registration is accepted by CVPR 2020.

Selected Publications [Google Scholar]

• 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
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
  [arXiv] (coming soon)

• Deformable Medical Image Registration Under Distribution Shifts with Neural Instance Optimization
  Tony C. W. Mok, Zi Li, Yingda Xia, Jiawen Yao, Ling Zhang, Jingren Zhou, Le Lu
  International Workshop on Machine Learning in Medical Imaging (MICCAI MLMI), 2023. [Oral Presentation]
  

  Ranked 1^st place in the MICCAI Learn2Reg 2023 medical image registration challenge (with Zi LI)

• Unsupervised 3D registration through optimization-guided cyclical self-training
  Alexander Bigalke, Lasse Hansen, Tony C. W. Mok, Mattias P. Heinrich
  Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.
  [arXiv] [code]

• 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
  Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.
  [arXiv] [code]

• 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
  Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022.
  [arXiv] [code]

  Ranked 1^st place in the MICCAI BraTS-Reg 2022 Brain Tumor Sequence Registration Challenge
  

• Affine Medical Image Registration with Coarse-to-Fine Vision Transformer
  Tony C. W. Mok, Albert C. S. Chung
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  [arXiv] [code]

• Conditional Deformable Image Registration with Convolutional Neural Network
  Tony C. W. Mok, Albert C. S. Chung
  Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021. [Oral Presentation]
  [arXiv] [code]

  Ranked 1^st place in the MICCAI Learn2Reg 2021 medical image registration challenge

• Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks
  Tony C. W. Mok, Albert C. S. Chung
  Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020. [Oral Presentation]
  [arXiv] [code]

  Ranked 1^st place in the MICCAI Learn2Reg 2020 medical image registration challenge
  

• Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks
  Tony C. W. Mok, Albert C. S. Chung
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  [arXiv] [code]

• Learning Data Augmentation for Brain Tumor Segmentation with Coarse-to-Fine Generative Adversarial Networks
  Tony C. W. Mok, Albert C. S. Chung
  International MICCAI Brainlesion Workshop, 2018. [Oral Presentation]
  [arXiv]

• 3D Randomized connection network with graph-based label inference
  Siqi Bao, Pei Wang, Tony C. W. Mok, Albert C. S. Chung
  IEEE Transactions on Image Processing (TIP), 2018.