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VAMBN
Variational Autoencoders Modular Bayesian Networks (VAMBN) is a modelling approach to generate high quality, longitudinal & heterogeneous synthetic patient level data.
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Description
Variational Autoencoders Modular Bayesian Networks (VAMBN)
This repository hosts the code for VAMBN 2.0. Unlike its predecessor, this version features a PyTorch-based HI-VAE (see Nazabal et al.'s paper) and employs Snakemake to manage the workflow of Python and R scripts.
Documentation
For detailed information, visit the documentation page.
Support
For questions or support, please contact the NFDI4Health helpdesk at helpdesk@nfdi4health.de.
License
This software is licensed under the GNU General Public License (GPL) for non-commercial use. For commercial use, please contact Holger Fröhlich to obtain a commercial license.
Development & Bug tracking
This project is under active development. Expect changes and potential bugs. Please open an issue for any problems you encounter.
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Reference papers
- 1.Author(s): Lisa Kühnel, Julian Schneider, Ines Perrar, Tim Adams, Sobhan Moazemi, Fabian Prasser, Ute Nöthlings, Holger Fröhlich, Juliane FluckPublished in Scientific Reports by Springer Science and Business Media LLC in 202410.1038/s41598-024-62102-2
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Mentions
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- 1.Author(s): Alejandra Jayme, Vincent HeuvelinePublished by openRxiv in 202610.64898/2026.05.10.26352710
- 2.Author(s): Erwin Boutsma, Katja Herzog, Rebecca C. Rancourt, Torsten G. Blum, Alberto Moreno, Francisco J. Núñez-Benjumea, Hanna Ćwiek-Kupczyńska, Rada Hussein, Holger Fröhlich, Lotte Groth Jensen, Anne Funck Hansen, Nadja Kartschmit, Anja Burmann, Mira Grättinger, Sumit Madan, Rita Peeters, Venkata P. Satagopam, Tieneke B.M. Schaaij-Visser, Philip Gribbon, Christian MuehlendyckPublished in 202610.12688/openreseurope.23459.4
- 3.Author(s): Tim Adams, Colin Birkenbihl, Karen Otte, Hwei Geok Ng, Jonas Adrian Rieling, Anatol-Fiete Näher, Ulrich Sax, Fabian Prasser, Holger Fröhlich, Alzheimer’s Disease Neuroimaging InitiativePublished by openRxiv in 202410.1101/2024.12.06.24317239
- 4.Author(s): Tamara Raschka, Meemansa Sood, Bruce Schultz, Aybuge Altay, Christian Ebeling, Holger FröhlichPublished by openRxiv in 202210.1101/2022.02.04.479087
- 5.Author(s): Meemansa Sood, Mohamed Aborageh, Daniel Domingo-Fernández, Robbert Harms, Thomas Lordick, Colin Birkenbihl, Andrew P Owens, Neva Coello, Vaibhav A. Narayan, Dag Aarsland, Maximilian Bügler, Holger Fröhlich, for the Alzheimer’s Disease Neuroimaging Initiative, RADAR-AD ConsortiumPublished by openRxiv in 202110.1101/2021.11.07.21265705
- 6.Author(s): Philipp Wendland, Colin Birkenbihl, Marc Gomez-Freixa, Meemansa Sood, Maik Kschischo, Holger FröhlichPublished by openRxiv in 202110.1101/2021.09.26.21263968
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HF
Holger Fröhlich
Fraunhofer Institute for Scientific Computing and Intelligent Algorithms
0000-0002-5328-1243
Mail HolgerML
Manuel Lentzen
Author
Fraunhofer Institute for Scientific Computing and Intelligent Algorithms
TA
Tim Adams
Fraunhofer Institute for Scientific Computing and Intelligent Algorithms
HGN
Hwei Geok Ng
HF
Holger Fröhlich
Fraunhofer Institute for Scientific Computing and Intelligent Algorithms
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