Tony C. W. Mok
Orcid: 0000-0002-4779-9337
According to our database1,
Tony C. W. Mok
authored at least 25 papers
between 2018 and 2024.
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Bibliography
2024
Rapid and Accurate Diagnosis of Acute Aortic Syndrome using Non-contrast CT: A Large-scale, Retrospective, Multi-center and AI-based Study.
CoRR, 2024
Boosting Medical Image-based Cancer Detection via Text-guided Supervision from Reports.
CoRR, 2024
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models.
CoRR, 2024
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data.
CoRR, 2024
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model using 3D Whole-body CT Scans.
CoRR, 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
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
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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2018
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