Rachel Draelos, MD, PhD's repositories
ct-volume-preprocessing
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."
pytorch-computer-vision
PyTorch tutorial for computer vision
ct-net-models
Machine learning models for multi-organ, multi-disease prediction in chest CT volumes. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes."
sarle-labeler
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."
glassboxmedicine
Code from my machine learning and medicine blog Glass Box https://glassboxmedicine.com/
explainable-ct-ai
CT scan machine learning models including AxialNet and HiResCAM
medgenetics
Mutation pathogenicity prediction for channelopathic and cardiomyopathic genes RYR2, KCNQ1, KCNH2, and SCN5A
research-container
Singularity Definition File for research projects
pytorch-grad-cam
Advanced AI Explainability for computer vision. Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples and applications for classification, object detection, segmentation, explaining image similarity and more.