Creation of a DICOM Segmentation Object from an AIM file storing the contours of a DICOM image series. Integrated into Stanford's ePAD platform as a plugin.

covid19-cxr-seg

ct2xray

COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTs

deepracer2020

Reinforcement learning reward function used at the DeepRacer February 2020 competition.

docker-fusion

Volumetric image registration of two DICOM image series via a Docker executable. Integrated into Stanford's ePAD platform as a plugin.

e2emd

End-to-end Malaria Diagnosis and 3D Cell Rendering with Deep Learning

featurespaceaugmentation

Orientation-Preserving Feature Space Augmentation for Enhanced Neural Network Training

fsaug

Network training with feature space augmentation in Python.

hi-ml

HI-ML toolbox for deep learning for medical imaging and Azure integration

hi-ml-multimodal

html-boilerplate

HTML project template code.

inf-net

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020. Used to generate annotated chest X-ray training data for segmenting COVID-19 lung lesions on X-rays.