medical-projects's repositories
AI-for-Medicine-Specialization-Coursera
About this Specialization .. AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This three-course Specialization will give you practical experience in applying machine learning to concrete problems in medicine. These courses go beyond the foundations of deep learning to teach you the nuances in applying AI to medical use cases. If you are new to deep learning or want to get a deeper foundation of how neural networks work, we recommend taking the Deep Learning Specialization.
aigt
Deep learning software modules for image-guided medical procedures
ANTsPyNet
Medical image analysis framework merging ANTsPy and deep learning
ANTsRNet
Medical image analysis framework merging ANTsR and deep learning
avatarify
Avatars for Zoom, Skype and other video-conferencing apps.
baal
Using approximate bayesian posteriors in deep nets for active learning
biomedical_image_segmentation
Implements deep learning models for semantic segmentation of microscopy and medical imaging data
cscw-caringbridge-interaction-network
Repository containing analysis code for research published in CSCW 2020.
CTK
A set of common support code for medical imaging, surgical navigation, and related purposes.
DeepRC
DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning
deidentify
A Python library to de-identify medical records with state-of-the-art NLP methods.
fhir-1
FHIR Protocol Buffers
GMIC
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
hopfield-layers
Hopfield Networks is All You Need
MITK
The Medical Imaging Interaction Toolkit.
ModelsGenesis
Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019
pyglFlow
Python front with OpenGL compute shaders to perform dense optical flow on the GPU
RELLIS-3D
RELLIS-3D: A Multi-modal Dataset for Off-Road Robotics
SleepEEGNet
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
SSL_CR_Histo
Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis"
stackoverflow
my answers in Stack Overflow :bowtie: :octocat:
stanfordmlgroup.github.io
Group Website
TPC-LoS-prediction
This repository contains the code used for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit (https://arxiv.org/abs/2007.09483).
treetime
Maximum likelihood inference of time stamped phylogenies and ancestral reconstruction
Unsupervised-Semantic-Segmentation
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals.
visbrain
A multi-purpose GPU-accelerated open-source suite for brain data visualization
whopaysthisdoctor.org
whopaysthisdoctor.org website