Thomas Sanchez's repositories
stochasticGreedyMRI
Stochastic greedy algorithm for optimizing Cartesian sampling for MRI
pcml_project2
Second project of PCML : implementation of a Recommander System
t-sanchez.github.io
My personal website
active-mri-acquisition
Active Acquisition for fastMRI
ada-parliament-ML
Project for the Applied Data Analysis course from EPFL: Visualisation on the votes at the Swiss National Council
ada_homework
Homework for the applied data analysis course from epfl
AFFIRM
A deep recursive fetal motion estimation and correction framework based on slice and volume affinity fusion
Brain-ID
[ECCV 2024] Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
CDM
Code & data monthly resources
DIS
CS-423 Distributed Information Systems
fetal_nisnap
Display segmentation results over MRI scans in Jupyter notebooks.
fetpype
Pipeline for processing MRI acquired in vivo in Human fetus
focus-beamertheme
Focus: a minimalist presentation theme for LaTeX Beamer.
phd_thesis
My PhD thesis
FaBiAN
FaBiAN is the first Fetal Brain magnetic resonance Acquisition Numerical phantom that simulates realistic T2-weighted magnetic resonance images of the developing fetal brain throughout gestation. It is open source and supports reproducibility studies to improve fetal brain diagnosis.
fourier-feature-networks
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
mialsuperresolutiontoolkit
The Medical Image Analysis Laboratory Super-Resolution ToolKit (MIALSRTK) consists of a set of C++ and Python processing and workflow tools necessary to perform motion-robust super-resolution fetal MRI reconstruction in the BIDS Apps framework.
mriqc
Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain
mriqc-learn
Learning on MRIQC-generated image quality metrics (IQMs).
NeSVoR
NeSVoR is a package for GPU-accelerated slice-to-volume reconstruction.
NiftyMIC
NiftyMIC is a research-focused toolkit for motion correction and volumetric image reconstruction of 2D ultra-fast MRI.
SelfMedMAE
Code for ISBI 2023 paper "Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation"
SVoRT
SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI