t-sanchez Goto Github PK

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

cdm-code

Code examples for the code and data monthly

dis

CS-423 Distributed Information Systems

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.

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.

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.

monaifbs

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.

pcml_project2

Second project of PCML : implementation of a Recommander System

phd_thesis

My PhD thesis

selfmedmae

Code for ISBI 2023 paper "Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation"

slides

A repository containing various presentation or slides in connection to my research

stochasticgreedymri

Stochastic greedy algorithm for optimizing Cartesian sampling for MRI

svort

SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI

svr_v2

t-sanchez.github.io

My personal website