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3d-f-cnn-brainstruct

This repository contains materials employed in our work to segment subcortical brain structures by employing a 3D fully Convolutional Neural Network.

academic-kickstart

Easily create a beautiful website using Academic and Hugo

academic-kickstart-netlify-cms

This is an integration of academic theme with Netlify CMS

caffe-release_segmentation

chainer

A flexible framework of neural networks for deep learning

csrankings

A web app for ranking computer science departments according to their research output in selective venues.

fewshot-segmentation

On the Texture Bias for Few-Shot CNN Segmentation

fewshot-segmentation-1

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

fsms-surrogate

Semi-supervised few-shot learning for medical image segmentation

google-research

Google Research

hyperdensenet

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

hyperdensenet_pytorch

Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation

ivd-net

Repository containing the source code of the IVD-Net segmentation network that we proposed for the MICCAI 2018 IVD segmentation challenge.

josedolz.github.io

keras-vis

Neural network visualization toolkit for keras

livianet

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

livianet_pytorch

This repository contains the pytorch implementation of our LiviaNET architecture

markdown-cheatsheet

Markdown Cheatsheet for Github Readme.md

msl-student-becomes-master

pfenet

PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).

progressive_dilated_unet

realistic-neural-talking-head-models

My implementation of Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (Egor Zakharov et al.).

repri-for-few-shot-segmentation

(CVPR 2021) Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166

semidensenet

Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.

unbiasedshapecompactness

This repository contains the code employed in our work: "Unbiased Shape Compactness for segmentation"