Multimodal Question Answering in the Medical Domain: A summary of Existing Datasets and Systems

Code, documentation, and discussion around the MIMIC-CXR database

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

Bachelor thesis project. A DICOM Viewer written in C++, QT and VTK.

Radiology Objects in COntext (ROCO): A Multimodal Image Dataset

Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow

Code for the CVPR paper "Interactive and Explainable Region-guided Radiology Report Generation"

Reproduce CheXNet

medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis

A C# DICOM Library

Starviewer, a cross-platform open source medical imaging software

Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Emory BMI GSoC Project Ideas

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet.

Niffler: A DICOM Framework for Machine Learning and Processing Pipelines.

Visual Question Answering in the Medical Domain VQA-Med 2019

Alaska Project Ideas, mentored by the researchers and collaborators of University of Alaska and supported by open-source entities and enthusiasts in Alaska.

This is the implementation of the CDGPT2 model mentioned in our paper 'Automated Radiology Report Generation using Conditioned Transformers'

Large Covid-19 CT scans dataset from the paper: https://doi.org/10.1016/j.bspc.2021.102588

Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data

Code and pretrained model for paper "Learning to Summarize Radiology Findings"

Image-based COVID-19 diagnosis. Links to software, data, and other resources.

Implementation of DenseNet model on Standford's MURA dataset using PyTorch

Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach

End-to-end Python CT volume preprocessing pipeline to convert raw DICOMs into clean 3D numpy arrays for ML. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes."

Physics-based data augmentation library for quantifying CT and CBCT images in radiotherapy [PMB'23, PMB'21, Medical Physics'21, AAPM'21]

Turn GitHub repositories into LLM tools. (ACL 2025)

Fully automated code for Covid-19 detection from CT scans from paper: https://doi.org/10.1016/j.bspc.2021.102588

Julia package for reading and writing DICOM (Digital Imaging and Communications in Medicine) files