PyTorch Implementation of Noise2Noise (Lehtinen et al., 2018)

NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation

A C++ library for computer-assisted segmentation of vessels in 2D medical images and a sample Qt/OpenGL application.

Quantification of vessel tortuosity for MATLAB.

Maximum intensity projection for medical image

A toolkit for integrating histology and spatial transcriptomics - NeurIPS 2024

Matlab code for: 1. reconstructing CT image by applying back projection, filtered back projection and convolution back projection; 2. maximum intensity projection.

Auto-differentiable digitally reconstructed radiographs in PyTorch

[MedIA‘25] Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields

Fast and Accurate ML in 3 Lines of Code

2-PM Vessel Dataset

We present a comprehensive and deep review of the HFM in challenges, opportunities, and future directions. The released paper: https://arxiv.org/abs/2404.03264

A curated list of foundation models for vision and language tasks in medical imaging

Multimodal Whole Slide Foundation Model for Pathology

[MICCAI 2023 Oral] The official code of "Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction" (top 9%)

Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images - ICCV 2021

A comprehensive opensource software package providing a complete pipeline from medical image data segmentation to patient specific blood flow simulation and analysis.

SimTK OpenSim C++ libraries and command-line applications, and Java/Python wrapping.

Official implementation of SAM-Med2D

[TPAMI 2024] Self-Supervised Learning for Real-World Super-Resolution from Dual and Multiple Zoomed Observations

PSFj - Know your microscope fluorescence

A curated list of awesome 3d generation papers

Open source tools for computational pathology - Nature BME

Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework f…