Iteratively Coupled Multiple Instance Learning

Code for Retrieval-Augmented Multiple Instance Learning (RAM-MIL).

SI-MIL

The code repository for ICML24 paper "Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images"

Decoupling common and unique representations for multimodal self-supervised learning

A graph-transformer for whole slide image classification

Style Transfer as Optimal Transport

Neurips 2024

A generative toolkit to translate H&E images to multiplexed IHC

Pytorch implementation for H2GT

[IEEE T-PAMI 2023] Unified heterogeneous transformer-based graph neural network for motion prediction

[MICCAI 2024]Official implementation of "Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining"

Implementation of paper "Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring" accepted by MICCAI 2024

A repository for Prototype Attention-based Multiple Instance Learning.

A Python library of pre- and post-processing tools for applying deep learning to whole-slide images

Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., MedRxiv (2023). We publicly release Phikon 🚀

A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular state revelation of gliomas

A vision-language foundation model for computational pathology - Nature Medicine

custom pytorch implementation of MoCo v3

Repository for paper "Masked Hypergraph Learning for Weakly Supervised Histopathology Whole Slide Image Classification."

BioFusionNet is a highly effective framework for cancer risk prediction, demonstrating its superior performance using multimodal data.