Stars
[MIDL 2025] Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders
Standardized initialization and loading of pretrained MIL models
Standardized benchmark for computational pathology foundation models.
A PyTorch library and evaluation platform for end-to-end compression research
SurGen: 1020 H&E-stained Whole Slide Images With Survival and Genetic Markers
Toolkit for large-scale whole-slide image processing.
Multimodal Whole Slide Foundation Model for Pathology
Multimodal prototyping for cancer survival prediction - ICML 2024
Integrating histology and spatial transcriptomics - NeurIPS 2024
Transcriptomics-guided Slide Representation Learning in Computational Pathology - CVPR 2024
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024
Demographic bias in misdiagnosis by computational pathology models - Nature Medicine
[Nature Machine Intelligence 2024] Code and evaluation repository for the paper
Pathology Foundation Model - Nature Medicine
Analysis of 3D pathology samples using weakly supervised AI - Cell
Multiple Pairwise Comparisons (Post Hoc) Tests in Python
Medical imaging processing for AI applications.
Variance pooling to incorporate ITH in CPath models - MICCAI 2022
A contrastive learning framework for 3D electron microscopy data
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
Deep Learning-based Frozen Section to FFPE Translation
DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep learning
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Open source tools for computational pathology - Nature BME
scRNAseq analysis notes from Ming Tang
📊 A simple command-line utility for querying and monitoring GPU status
AI-based pathology predicts origins for cancers of unknown primary - Nature