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automatic-spontaneous-echo-contrast

bme

bme-590-machine-learning-in-imaging

This repository is used for Duke BME 590 Machine Learning in Imaging course taught in Spring 2019.

chexnet-keras

This project is a tool to build CheXNet-like models, written in Keras.

circleci.py

Python Wrapper around the CircleCI API

codecs

colabtools

Python libraries for Google Colaboratory

conduit

Cloud API to control ESP8266 devices from anywhere in the world (ESP8266 IoT library)

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cornerstone3d-beta

Cornerstone is a set of JavaScript libraries that can be used to build web-based medical imaging applications. It provides a framework to build radiology applications such as the OHIF Viewer.

cornerstonewadoimageloader

DICOM WADO Image Loader for the cornerstone library

datasets

A collection of datasets ready to use with TensorFlow

dcmjs

Javascript implementation of DICOM manipulation

deepdrr

Code for "DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided Procedures". https://arxiv.org/abs/1803.08606

docker-spark-standalone

:ship: Standalone Apache Spark Docker image

docker_auth

Authentication server for Docker Registry 2

doctr-tfjs-demo

Javascript demo of docTR, powered by TensorFlowJS

efficient_densenet_tensorflow

A memory efficient implementation of densenet.

formio

A Form and Data Management Platform for Progressive Web Applications.

fullwave2

Fullwave 2 beta version

gdal-docker

A Dockerfile compiling the latest GDAL github checkout with a broad range of drivers

generative_inpainting

Generative Image Inpainting with Contextual Attention, CVPR 2018

hikari

Boilerplate Code For Apps

house-course

house course assignments

io

Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO

itk

Insight Segmentation and Registration Toolkit -- Mirror

kage

Backend boilerplate.

keras-scaffold

leflow

Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks

mimicknet

Matching clinical-grade ultrasound post-processing without the hassle.