Stars
A foundation model framework for analyzing multiplexed tissue imaging data across molecular, cellular and tissue scales enabling clinical diagnostics, biological discovery and patient case retrieval.
[NeurIPS'25][OralGPT & MMOral] The official repo of OralGPT & MMOral Bench.
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images - ICCV 2021
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.
A visual–omics foundation model to bridge histopathology with spatial transcriptomics
A vision language model for gigapixel whole slide images in histopathology
Cost-efficient and Instruction-driven AI Conversation in Digital Pathology
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
[MICCAI 2024] Official Repo of "HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction"
[TPAMI 2025] Large-Scale 3D Medical Image Pre-training with Geometric Context Priors
[ECCV 2024] Official Implementation of 《WSI-VQA: Interpreting Whole Slide Image by Generative Question Answering》
Official Inplementation of 《WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole Slide Images》(MICCAI 2024 Oral/ Best Paper Candidate)
Historical Report Guided Bi-modal Concurrent Learning for Pathology Report Generation
Toolkit for large-scale whole-slide image processing.
Open source tools for computational pathology - Nature BME
Feather - Lightweight supervised slide foundation models (ICML 2025)
Vision-Language Pathology Foundation Model - Nature Medicine
A library that integrates different MIL methods into a unified framework
Accurate spatial quantification in computational pathology with multiple instance learning
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
[AAAI-2026] Patho-AgenticRAG: Towards Multimodal Agentic Retrieval-Augmented Generation for Pathology VLMs via Reinforcement Learning
Cross-Cancer Knowledge Transfer in WSI-based Prognosis Prediction (https://arxiv.org/abs/2508.13482)
This repo provides the pipeline of processing TCGA whole-slide images for downstream pathology analysis.
AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images (Medical Image Analysis 2024)
Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification (IEEE TMI 2024)
Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation (ICML 2024)
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology (ICLR 2025)