huqian999

SmileGAN

FetalCPSeg

A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI

psi-net

[TMI'20] Code for "Ψ-Net: Stacking Densely Convolutional LSTMs for Sub-Cortical Brain Structure Segmentation".

UNet-family

Paper and implementation of UNet-related model.

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

ContextPrior

Implementation for "Context Prior for Scene Segmentation"

SFTGAN

CVPR18 - Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform

SimpleCVReproduction

Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.

ModelsGenesis

[MICCAI 2019] [MEDIA 2020] Models Genesis

3D-SW-UNet

The implementation of the 3D-SW-UNet for brain tissue segmentation implemented in Tensorflow

sub-cortical_segmentation

Sub-cortical brain tissue segmentation using CNN

sub-cortical_segmentation

Sub-cortical brain tissue segmentation using CNN

Autofocus-Layer

Autofocus Layer for Semantic Segmentation

models

DLTK Model Zoo

squeeze_and_excitation

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

freesurfer

Neuroimaging analysis and visualization suite

HyperDenseNet

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

MedicalZooPytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

voxelmorph

Unsupervised Learning for Image Registration

QuickNATv2

Fast Whole Brain Segmentation (Layers, codes and Pre-trained Models)

quickNAT_pytorch

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

Deformable-Image-Registration-Projects

Deformable Image Registration Projects

brainstorm

Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"

MICCAI-OpenSourcePapers

MICCAI 2019-2023 Open Source Papers

clinicadl

Framework for the reproducible processing of neuroimaging data with deep learning methods

ADDL

Apply deep learning on ADNI MRI for Alzheimer disease diagnostic.

u-net-brain-tumor

U-Net Brain Tumor Segmentation

AD_Prediction

Alzheimer's Disease Prediction by using ResNet, AlexNet

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

DeepLabV3-Tensorflow

Reimplementation of DeepLabV3