CityU-AIM-Group

SIGMA

[CVPR' 22 ORAL] SIGMA: Semantic-complete Graph Matching for Domain Adaptative Object Detection

SFDA-FSM

[MIA' 22] Source free domain adaptation for medical image segmentation with fourier style mining

SOMA

[ICCV' 23 ORAL] Novel Scenes & Classes: Towards Adaptive Open-set Object Detection

NLTE

[CVPR' 22] Towards Robust Adaptive Object Detection under Noisy Annotations

SCAN

[AAAI' 22 ORAL] SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation

MultiModal-learning

SimT

[CVPR22'] SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation

D2Net

[TMI' 22] D2-Net: Dual Disentanglement Network for Brain Tumor Segmentation with Missing Modalities

JCAS

[MICCAI'22] Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels

PRR-Imbalance

[TMI'22] Personalized Retrogress-Resilient Federated Learning Towards Imbalanced Medical Data

EPT

Edge-oriented Point cloud Transformer for 3D Intracranial Aneurysm Segmentation. MICCAI22

Anna

[CVPR' 23] Adjustment and Alignment for Unbiased Open Set Domain Adaptation

DW-HieraSeg

[MedIA'21] Dynamic-weighting Hierarchical Segmentation Network for Medical Images

SFPolypDA

[TMI'22] A Source-free Domain Adaptive Polyp Detection Framework with Style Diversification Flow

FedDM

[TMI' 23] FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-conflicting

L2uDT

[TMI' 21] Semantic-oriented Labeled-to-unlabeled Distribution Translation for Image Segmentation

MPA-DA

[JBHI'21] Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation

MRM

[ICCV' 23] MRM: Masked Relation Modeling for Medical Image Pre-Training with Genetics

TEAR

[MICCAI' 22] Semi-Supervised Medical Image Classification with Temporal Knowledge-Aware Regularization

FedOSS

[TMI'23] FedOSS: Federated Open Set Recognition via Inter-client Discrepancy and Collaboration

FedPD

[ICCV' 23] FedPD: Federated Open Set Recognition with Parameter Disentanglement

ThresholdNet

[TMI'20] Learn to Threshold: ThresholdNet with Confidence-Guided Manifold Mixup for Polyp Segmentation

FedInI

[MICCAI' 22] Intervention & Interaction Federated Abnormality Detection with Noisy Clients

HABIT

This is an official PyTorch implementation of the paper "Hierarchical Bias Mitigation for Semi-Supervised Medical Image Classification"

Decoupled-Unbiased-Teacher

EndoCV-2021

[EndoCV'21] Joint Polyp Detection and Segmentation with Heterogeneous Endoscopic Data

FedGP

GFBS

[ACM MM'21] Exploring Gradient Flow Based Saliency for DNN Model Compression

InfProto

TGMA

[MICCAI'23] Transferability-Guided Multi-Source Model Adaptation for Medical Image Segmentation