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ai-deep-learning-lab-2021

Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab at RSNA 2021

ai-deep-learning-lab-2022

course-v3

The 3rd edition of course.fast.ai

dect-ca_v_hem-analysis

Code for analysis of dual-energy CT calcium versus hemorrhage data

dicomtools

A Python toolkit for parsing and analyzing metadata from DICOM files.

dotfiles

fastai

The fastai deep learning library, plus lessons and tutorials

fastai_dev

development of the next version of fastai

hello_world_deep_learning

Hello World Introduction to Deep Learning for Medical Image Classification

ich-detection-demo

kaggle-rsna-intracranial-hemorrhage-appian

keras-retinanet

Keras implementation of RetinaNet object detection.

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

mrnet-fastai

Deep Learning CNN using FastAI for the Stanford MRNet Knee MRI diagnosis challenge

rad-ml-tutorials

Interactive tutorials for AI applications in radiology

radiologycasetracker

SIIM 2020 Hackathon Project for tracking radiology cases

radnlp

NLP tools for radiology reports

rsna-image-ai-2020

rsna-nlp-2020

swift-jupyter

timemagic

Magic Cell commands for swift-jupyter

unsupervised-seg-mri

wfwiggins.github.io

Radiology Resident Data Science Curriculum Project