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Liu Hui's Projects

dcmqi icon dcmqi

dcmqi (DICOM for Quantitative Imaging) is a free, open source library that implements conversion between commonly used imaging research formats and the standard DICOM representation: https://qiicr.gitbooks.io/dcmqi-guide

deep-learning-for-mri icon deep-learning-for-mri

List of deep learning papers and abstracts for Magnetic Resonance Imaging (MRI) applications

deep-learning-in-production icon deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deep-review icon deep-review

A collaboratively written review paper on deep learning, genomics, and precision medicine

deep-survival icon deep-survival

Multi-Task Survival Analysis of Liver Transplantation Using Deep Learning

deep-ttf icon deep-ttf

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

deepdrr icon deepdrr

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

deephit icon deephit

DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks

deepkit-ml icon deepkit-ml

The collaborative real-time open-source machine learning devtool and training suite: Experiment execution, tracking, and debugging. With server and project management tools.

deepknee icon deepknee

Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach

deepmedic icon deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

deepmiil icon deepmiil

3D-volume Conv Pix2Pix cGans for PET/MR

deepmotion icon deepmotion

correction of motion artefacts in fMRI using deep learning models

deepneuro icon deepneuro

A deep learning python package for neuroimaging data. Made by:

deepreg icon deepreg

Medical image registration using deep learning (under development)

delira icon delira

Lightweight framework for fast prototyping and training deep neural networks in medical imaging

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