medical-projects Goto Github PK

ml_net-1

ML-Net is a novel end-to-end deep learning framework for multi-label classification of biomedical tasks. ML-Net combines the label prediction network with a label count prediction network, which can determine the output labels based on both label confidence scores and document context in an end-to-end manner.

mlc-reproducing-adversarial-medicine

Slidedeck for my talk on reproducing the paper "Adversarial Attacks Against Medical Deep Learning Systems"

mlho

Machine Learns Health Outcomes (MLHO)

mmaction

An open-source toolbox for action understanding based on PyTorch

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

modelling-time-series-ehr

Use of use deep learning techniques to provide medical professionals an analytic framework to predict patient mortality at any time of interest. Such a solution provides essential feedback to clinicians when trying to assess the impact of treatment decisions or raise early warning signs to flag at risk patients in a busy hospital care setting.

models

DLTK Model Zoo

models-1

Models and examples built with TensorFlow

modelsgenesis

Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

modernrobotics

Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code is optimized neither for efficiency nor robustness.

moleculartransformer

monai

AI Toolkit for Healthcare Imaging

mqtb

Quantum Tomography Benchmarking

mrbreader

Small tool to unpack and prepare MRB (medical reality bundle) files from the 3D Slicer as a supervised deep learning data source.

mrf-reconstruction-media2020

Code for the Medical Image Analysis paper Balsiger et al., Spatially Regularized Parametric Map Reconstruction for Fast Magnetic Resonance Fingerprinting

mrf-reconstruction-mlmir2020

Code for the Machine Learning for Medical Image Reconstruction (MLMIR) 2020 paper Balsiger and Jungo et al., Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks

mri-braintumor-segmentation

MRI Brain Tumor Segmentation - BraTS Challenge 2020

mri-tvtv

Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse Problems: Applications in Medical Imaging

mrrobust

An healthcare chatbot for Alibaba Cloud Global AI Innovation Challenge

multi-scale-attention

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

multi-task-deep-network

Usage of Multi-task deep learning network for semantic segmentation in medical images

multi_scale_booster

multiclass-segmentation

Repository for the code related to the NIH marmoset longitudinal segmentation project.

multimetapath2vec

Modification of metapath2vec algorithm for representation learning

multimodal_fairness

multitasksleepnet

Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification

mura-classification

Intersession 2019- Deep Learning for Medical Image Analysis Class Final Project

mv-temporal-rgan

Multivariate recurrent GANs for generating biomedical time-series given consistent dimensionality. Methodology involves drawing symmetries to adversarial image generation

mva-dlmi

Deep Learning for Medical Imaging