[MICCAI 2026]Mutual Distillation of Dual-Foundation Models for Semi-Supervised PET/CT Segmentation

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Diffusion Models for Medical Imaging

Implement a reasoning LLM in PyTorch from scratch, step by step

[IJCV 2026] Multimodal Referring Segmentation

Domain adaptation method for medical image analysis, a collection of literature reviews and code implementations.

A corpus of textual data corresponding to synthetic clinical encounters, including each encounters’ dialogue transcript and clinical notes.

Deep Multiple Instance Learning library for Pytorch

A library that integrates different MIL methods into a unified framework

B站第三方 Windows 桌面客户端，使用 Windows App SDK 构建的原生应用

An MRI-pathology model (MRI-based Predicted Transformer for Prostate cancer (MRI-PTPCa)) was proposed to discover correlations between mp-MRI and tumor regressiveness of PCa and was further deploye…

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

 This project is dedicated to collecting high-quality macOS software and organizing them systematically by different categories for easy search and use.

A modern file manager that helps users organize their files and folders.

This is an official repo for fine-tuning SAM to customized medical images.

The learning routes of MIL (categorized, key paper listed, continuously updated)

😼 优雅地使用基于 clash/mihomo 的代理环境

A lightweight adapter bridges SAM with medical imaging [MedIA]

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Official repository of paper titled "UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities".

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

Papers of Medical Image Analysis on CVPR

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

A Survey on CLIP in Medical Imaging

A curated list of foundation models for vision and language tasks in medical imaging

PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

Segment Anything Model for Medical Image Segmentation: Open-Source Project Summary