Gerard Martí's Projects
Implementation and testing of 3D convolutional neural networks for AD diagnosis
Hub where all tasks related to preprocessing, processing, archiving, distribution and all other aspects of working with neuroimaging data.
structural analysis of neonatal brain MRI scans
Developing brain Region Annotation With Expectation-Maximization
Code that applies a data pipeline to extract Functional and Structural connectivity matrices from MRI data.
Pipeline for processing MRI acquired in vivo in Human fetus
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Personal website
test
Traffic Sign
Video Surveillance for Road Traffic detection
Example download scripts for the OASIS3 project
Code for the working paper "Automatic detection of optical nerve lesions using a 3D convolutional neural network"
Fork from perinatal pipeline for automatic brain segmentation, integrating it into a Docker image
Fork from perinatal pipeline for automatic brain segmentation, integrating it into a Docker image
My PhD thesis original Latex code. With supplementary information.
Implementation of a recurrent latent variable model. Trying to implement the model from:
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.
Using SIMLR for AD clustering and subtyping.
Surface anaLysis And Modeling
Measurements/Reporting for the dHCP Structural Pipeline
This repository contains code to apply vision transformers on surface data
Variational Recurrent Autoencoder for timeseries clustering in pytorch
A playbook for systematically maximizing the performance of deep learning models.
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)