gerardmjuan Goto Github PK

3d-conv-ad

Implementation and testing of 3D convolutional neural networks for AD diagnosis

brainfortlib-neuroimage-hub

Hub where all tasks related to preprocessing, processing, archiving, distribution and all other aspects of working with neuroimaging data.

dhcp-structural-pipeline

structural analysis of neonatal brain MRI scans

drawem

Developing brain Region Annotation With Expectation-Maximization

fc-sc-data-pipeline

Code that applies a data pipeline to extract Functional and Structural connectivity matrices from MRI data.

fetpype

Pipeline for processing MRI acquired in vivo in Human fetus

gerardmjuan.github

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

gerardmjuan.github.io

Personal website

hippo-surf-analysis

test

mcv-m3

Traffic Sign

mcv-m4

Video Surveillance for Road Traffic detection

mcv-m5

oasis-scripts

Example download scripts for the OASIS3 project

optic-nerve-3dcnn-ms

Code for the working paper "Automatic detection of optical nerve lesions using a 3D convolutional neural network"

perinatal-pipeline-docker

Fork from perinatal pipeline for automatic brain segmentation, integrating it into a Docker image

perinatal-pipeline-docker-dep

Fork from perinatal pipeline for automatic brain segmentation, integrating it into a Docker image

phd-thesis-ad-ml

My PhD thesis original Latex code. With supplementary information.

pymkl

rnn-vae

Implementation of a recurrent latent variable model. Trying to implement the model from:

rocket_viewer_ftl

This simple and generic viewer allows you to visualize different kinds of data such as medical and biological images, 3D surfaces, electric signals (ECGs) and documents.

simlr-ad

Using SIMLR for AD clustering and subtyping.

slam

Surface anaLysis And Modeling

structural-pipeline-measures

Measurements/Reporting for the dHCP Structural Pipeline

surface-vision-transformers

This repository contains code to apply vision transformers on surface data

timeseries-clustering-vae

Variational Recurrent Autoencoder for timeseries clustering in pytorch

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

tv-regularization-hyperspectral

tvb_c

A C implementation of TVB's simulation core. It implements a brain network model composed of ReducedWongWang neural masses with feedback inhibition control (Schirner et al. 2018, Deco et al. 2014)