Medical Image Analysis Laboratory
- 17 followers
- Lausanne, Switzerland
- https://www.unil.ch/mial/home.html
Popular repositories Loading
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mialsuperresolutiontoolkit
mialsuperresolutiontoolkit PublicThe 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…
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Perinatal_SR_Autoencoder
Perinatal_SR_Autoencoder PublicNetwork code for autoencoder training on dMRI pre-term newborns of the developing Human Connectome Project (dHCP)
Python 4
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fetal_brain_utils
fetal_brain_utils PublicUtilities for fetal brain reconstruction pipelines
Python 3
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Repositories
- interpret-lesion-unc Public Forked from NataliiaMolch/interpret-lesion-unc
Multiple sclerosis cortical lesion segmentation model on MP2RAGE - DE and MCDP uncertainty quantification - Lesion-scale uncertainty - Instance-wise uncertainty - Interpretability of lesion-scale uncertainty - Interpretability of instance-wise uncertainty
Medical-Image-Analysis-Laboratory/interpret-lesion-unc’s past year of commit activity - Perinatal_fODF_DL_estimation Public
Medical-Image-Analysis-Laboratory/Perinatal_fODF_DL_estimation’s past year of commit activity - dl_fiber_domain_shift Public
This repository contains the code for the paper "Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains" by Rizhong Lin, Ali Gholipour, Jean-Philippe Thiran, Davood Karimi, Hamza Kebiri, and Meritxell Bach Cuadra.
Medical-Image-Analysis-Laboratory/dl_fiber_domain_shift’s past year of commit activity - MS_WML_uncs Public Forked from NataliiaMolch/MS_WML_uncs
This repository contains the code used for the study of voxel- and lesion- scale uncertainty in application to white matter multiple sclerosis segmentation task.
Medical-Image-Analysis-Laboratory/MS_WML_uncs’s past year of commit activity - FaBiAN Public
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.
Medical-Image-Analysis-Laboratory/FaBiAN’s past year of commit activity - mialsuperresolutiontoolkit Public
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.
Medical-Image-Analysis-Laboratory/mialsuperresolutiontoolkit’s past year of commit activity
