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Med-AIR@CUHK's Projects

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Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation

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[MICCAI2023] Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging

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[IEEE JBHI'20] Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification

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[ICRA'23] Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot

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[IPMI'23] Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification

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[IEEE TMI'22] DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images

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[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train

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[MICCAI'22] Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery

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[ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

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[NeurIPS'23] Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization

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[npj Digital Medicine'21] Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. (Nature publishing group)

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[AAAI'22] HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images

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[ICLR'24] Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate

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[ISBI'24] Segmentation of Tiny Intracranial Hemorrhage via Learning-to-Rank Local Feature Enhancement

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[MICCAI'22] Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance

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[IEEE TMI'23] IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation

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[IROS'21] SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning

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[MICCAI'22] Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift

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[IROS'23] Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot

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