Deep Learning for Reaction-Diffusion Glioma Growth Modeling: Towards a Fully Personalized Model? — Supporting Data

Martens, Corentin; Rovai, Antonin; Bonatto, Daniele; Metens, Thierry; Debeir, Olivier; Decaestecker, Christine; Goldman, Serge; Van Simaeys, Gaetan

doi:10.5281/zenodo.6563613

Published May 19, 2022 | Version 1.0

Dataset Open

Deep Learning for Reaction-Diffusion Glioma Growth Modeling: Towards a Fully Personalized Model? — Supporting Data

1. Université libre de Bruxelles

Supporting data for Martens et al. Deep Learning for Reaction-Diffusion Glioma Growth Modelling: Towards a Fully Personalised Model? arXiv:2111.13404.

Files

martens-2021.zip

Files (155.8 MB)

Name	Size	Download all
martens-2021.zip md5:cc9607d963b9326d2cc54800199ed7a8	155.8 MB	Preview Download

Additional details

Is cited by: Preprint: arXiv:2111.13404 (arXiv)

424

Views

Downloads

Show more details

	All versions	This version
Views	424	424
Downloads	70	70
Data volume	12.5 GB	12.5 GB

More info on how stats are collected....

DOI

Resource type

Dataset

Publisher

Zenodo

License: Creative Commons Attribution 4.0 International

The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more

Technical metadata

Created: May 19, 2022
Modified: May 20, 2022

Deep Learning for Reaction-Diffusion Glioma Growth Modeling: Towards a Fully Personalized Model? — Supporting Data

Authors/Creators

Description

Files

martens-2021.zip

Files (155.8 MB)

Additional details

Related works