rachellea Goto Github PK

cs550nn

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."

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."

explainable-ct-ai

CT scan machine learning models including AxialNet and HiResCAM

glassboxmedicine

Code from my machine learning and medicine blog Glass Box https://glassboxmedicine.com/

hirescam

HiResCAM gradient-based convolutional neural network explanation method

lincrnas

Code for, "Genome-wide interrogation reveals hundreds of long intergenic noncoding RNAs that associate with cardiometabolic traits"

medgenetics

Mutation pathogenicity prediction for channelopathic and cardiomyopathic genes RYR2, KCNQ1, KCNH2, and SCN5A

pytorch-computer-vision

PyTorch tutorial for computer vision

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.

research-container

Singularity Definition File for research projects

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."