Thomas Sanchez (t-sanchez)

t-sanchez

Geek Repo

Location:Lausanne

Home Page:t-sanchez.github.io

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Thomas Sanchez's repositories

stochasticGreedyMRI

Stochastic greedy algorithm for optimizing Cartesian sampling for MRI

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pcml_project2

Second project of PCML : implementation of a Recommander System

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t-sanchez.github.io

My personal website

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active-mri-acquisition

Active Acquisition for fastMRI

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ada-parliament-ML

Project for the Applied Data Analysis course from EPFL: Visualisation on the votes at the Swiss National Council

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ada_homework

Homework for the applied data analysis course from epfl

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AFFIRM

A deep recursive fetal motion estimation and correction framework based on slice and volume affinity fusion

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CDM

Code & data monthly resources

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CDM-code

Code examples for the code and data monthly

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DIS

CS-423 Distributed Information Systems

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fetal_nisnap

Display segmentation results over MRI scans in Jupyter notebooks.

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fetpype

Pipeline for processing MRI acquired in vivo in Human fetus

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focus-beamertheme

Focus: a minimalist presentation theme for LaTeX Beamer.

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phd_thesis

My PhD thesis

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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.

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fourier-feature-networks

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

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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.

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mriqc

Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain

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mriqc-learn

Learning on MRIQC-generated image quality metrics (IQMs).

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NeSVoR

NeSVoR is a package for GPU-accelerated slice-to-volume reconstruction.

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NiftyMIC

NiftyMIC is a research-focused toolkit for motion correction and volumetric image reconstruction of 2D ultra-fast MRI.

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SelfMedMAE

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

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slides

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

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SVoRT

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

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