Tony C. W. Mok

Orcid: 0000-0002-4779-9337

According to our database1, Tony C. W. Mok authored at least 20 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration.
CoRR, 2024

2023
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans. Medical Imaging, March, 2023

Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images.
CoRR, 2023

Deformable Medical Image Registration Under Distribution Shifts with Neural Instance Optimization.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

SAMConvex: Fast Discrete Optimization for CT Registration Using Self-supervised Anatomical Embedding and Correlation Pyramid.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Groupwise Image Registration with Atlas of Multiple Resolutions Refined at Test Phase.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Unsupervised 3D Registration Through Optimization-Guided Cyclical Self-training.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Dcor-VLDet: A Vertebra Landmark Detection Network for Scoliosis Assessment with Dual Coordinate System.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Joint Denoising and Super-Resolution for Fluorescence Microscopy Using Weakly-Supervised Deep Learning.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022

Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative and Post-recurrence Brain Tumor MRI Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Affine Medical Image Registration with Coarse-to-Fine Vision Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Robust Image Registration with Absent Correspondences in Pre-operative and Follow-Up Brain MRI Scans of Diffuse Glioma Patients.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
CoRR, 2021

Conditional Deep Laplacian Pyramid Image Registration Network in Learn2Reg Challenge.
Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

Conditional Deformable Image Registration with Convolutional Neural Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Large Deformation Image Registration with Anatomy-Aware Laplacian Pyramid Networks.
Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020

Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018
3D Randomized Connection Network With Graph-Based Label Inference.
IEEE Trans. Image Process., 2018

Learning Data Augmentation for Brain Tumor Segmentation with Coarse-to-Fine Generative Adversarial Networks.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018


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