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[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
[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"
[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)