(NeurIPS 2025) UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation

[ICML 2025] Official Implementation of "Hessian Geometry of Latent Space in Generative Models"

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

This repository includes the official implementation of our paper "Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion Transformers"

Official PyTorch implementation for "Large Language Diffusion Models"

Large Medical Image Foundation Model

Official Repository for "Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?" (Daniel P. Jeong, Saurabh Garg, Zachary C. Lipton, Michael Oberst) (EMNLP 2024, Oral)

MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications

[MICCAI' 24] DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation

This project aims to collect the latest "call for reviewers" links from various top CS/ML/AI conferences/journals

This is the official repository for the paper "SC-VAE: Sparse Coding-based Variational Autoencoder with Learned ISTA"

This the repo for the MICCAI paper

Collection of explainable methods and models

Official code for `Visual Attention Emerges from Recurrent Sparse Reconstruction' (ICML 2022)

Code for paper: DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification [ECCV 2024]

Accelerated Oblique Random Survival Forests

Generalized Optimal Sparse Decision Trees

Optimal Sparse Survival Trees

[CIKM '24] SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks

This repo is for the paper Click-Based Interactive Segmentation for Medical Image Analysis Using Online Variation Gaussian Process

Implementation for Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport

Code for the paper "SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation "

The code for Bi-JROS.

The code for the paper: TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning

医学影像数据集列表

The code for the paper: TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning