A curated list of awesome resources, papers, datasets, and tools related to AI in radiology. This repository aims to provide a comprehensive collection of materials to facilitate research, learning, and development in the field of AI-powered radiology.

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This is a helper repository for the CDD-CESM Mammogram Dataset containing all the tools for pre-processing and segmentation models.

CXRMate: Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report Generation

Translate radiology reports from clinical to lay text

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

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A powerful, enterprise-grade multi-agent system for advanced radiological analysis, diagnosis, and treatment planning. This system leverages specialized AI agents working in concert to provide comprehensive medical imaging analysis and care recommendations.

Automatic extraction of structured labels from radiology reports. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes."

Code and dataset for paper - Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique

RadioLOGIC: A general model for processing unstructured reports and making decisions in healthcare

ThaiRIS Version 1.8 Free OpenSource Radiology Information system (RIS)

Automatic generation of descriptive radiological reports from X-RAY scans

There is progress to be made in building artificially intelligent systems to detect abnormalities that are not only accurate but can handle the true breadth of findings that radiologists encounter in body (chest, abdomen, and pelvis) Computed Tomography (CT). Currently, the major bottleneck for developing multi-disease classifiers is a lack of manually annotated data. The purpose of this work was to develop high throughput multi-label annotators for body CT reports that can be applied across a variety of abnormalities, organs, and disease states thereby mitigating the need for human annotation.

An open-source on-prem text annotation software suite.

Using MAIRA-2 multimodal transformer designed for the generation of grounded or non-grounded radiology reports from chest X-rays.

Regex-based text parser for common radiology report

Code and experiments from my thesis on multimodal deep learning for medical imaging, using DeiT, TinyBERT, and CLIP on chest and skeletal X-ray datasets.

IHE Management of Radiology Report Templates (MRRT) for Django

MSR Cambridge Internship Summer 2023

Radiology training software for local training. Practice with departmental DICOM cases, run mock exams, track progress.

A Dagster pipeline to fetch radiology reports from ADIT and send them to RADIS for FTS.

Research collaboration with the University of Aberdeen & NHS Grampian (Supervisor: Dr. Luke Farrow)