Implementation of treatment-aware longitudinal registration model.

A Molecular-Guided Foundation Model with Adaptive Region Modeling for Whole Slide Image Analysis

Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021

The repository of the code of LLVE-AMNet.

Lightweight coding agent that runs in your terminal

MorphoXAI: A human-in-the-loop explanation framework for morphologically transparent AI predictions from whole-slide images

Pathix is a modular framework for computational pathology and whole-slide image analysis. It supports patch-based learning, multi-instance learning (MIL), graph construction from WSIs, and graph ne…

An interpretable graph-based representation model for pathology whole slide images (WSI) leveraging patch-level relations and prototype learning.

The implementations for NeurIPS 2024 paper "Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images".

[MICCAI'23] HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis

Codex-native Academic Research Skills suite for human-in-the-loop academic research workflows

Academic Research Skills for Claude Code: research → write → review → revise → finalize

A collection of latest Hyperbolic LLM Models with the corresponding paper titles, years of publication, links to the code, and dataset links.

Pathology Whole-Slide Image Model (MILs, SFMs) WSI benchmark

[KDD 2026] The source code of paper "HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction"

Codex-assisted daily academic paper reader and recommendation workflow

nnMIL: A generalizable multiple instance learning framework for computational pathology

Scaling Autonomous Research in Medical Image Segmentation

Elevate your AI research writing, no more tedious polishing ✨

This repository contains the implementation of TILAb-score as described in the original paper.

[ICLR 2024]Implementation of "Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction"

[ICLR 2026] HistoPrism: Unlocking Functional Pathway Analysis from Pan-Cancer Histology via Gene Expression Prediction

[ICLR2026] The implementation of "Structural Prognostic Event Modeling for Multimodal Cancer Survival Analysis"

A Curated List of Awesome Works in Computational Pathology, Aiming to Serve as a One-stop Resource for Researchers, Practitioners, and Enthusiasts Interested in Digital Pathology.