[MICCAI 24] The official code repository for paper "FairDiff: Fair Segmentation with Point-Image Diffusion".

[ECCV 2024] FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification

[arXiv 2024] FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling

4M: Massively Multimodal Masked Modeling

[Journal of Biomedical and Health Informatics 2023] Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma

[CVPR 2024] FairCLIP: Harnessing Fairness in Vision-Language Learning

Official implementation for AnomalyCLIP (ICLR 2024)

[Medical Image Analysis 2024] RNFLT2Vec: Artifact-Corrected Representation Learning for Retinal Nerve Fiber Layer Thickness Maps

[ICCV 2023] Learning Support and Trivial Prototypes for Interpretable Image Classification

Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.

[ICLR 2024] FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling

[IEEE Transactions on Medical Imaging 2024] Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization

Accurate reimplementation of WinCLIP (pytorch version)

[TMI'20, AAAI'19] Synergistic Image and Feature Adaptation

A curated list of foundation models for vision and language tasks

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Official code for "A Closer Look at Audio-Visual Segmentation"

ICCV 2023 论文和开源项目合集

[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

EMNLP'22 | MedCLIP: Contrastive Learning from Unpaired Medical Images and Texts

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

[ICCV 2023] Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning

SAM & SAM 2 for Medical Image Segmentation: Open-Source Project Summary

Official code for "BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification"

The implementation of the technical report: "Customized Segment Anything Model for Medical Image Segmentation"

finetuning SAM with non-promptable decoder on medical images

[ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging

An official implementation of "On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations" (IPMI 2023)