Author

Viktor Wottschel

Amsterdam NeuroscienceORCID 0000-0002-2902-2268Unclaimed ORCID profile · follow to get notified of new preprints

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Assay:imaging· 3 Research Focus:database / resource· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Frederik BarkhofiD· 3 shared Alle Meije WinkiD· 2 shared David Lee ThomasiD· 2 shared Ferrán PradosiD· 2 shared Henk J. M. M. MutsaertsiD· 2 shared Jan PetriD· 2 shared Joost P.A. KuijeriD· 2 shared Silvia IngalaiD· 2 shared

Activity by Year

2018-2021 · peak 1/yr

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10 top collaborators · 43 mutual co-author links

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3 shared papersNeuroscience

Frederik BarkhofORCID

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3 papers

Recent·Most cited

The European Prevention of Alzheimer's Dementia (EPAD) MRI Dataset and Processing Workflow

Luigi Lorenzini, Silvia Ingala, Alle Meije Wink, Joost P.A. Kuijer, Viktor Wottschel, Mathijs Berend Johannes Dijsselhof, Carole H. Sudre, Sven Haller, José Luís Molinuevo, Juan Domingo Gispert, David M. Cash, David Lee Thomas, Sjoerd B. Vos, Ferrán Prados, Jan Petr, , Henk J. M. M. Mutsaerts

The paper describes an MRI dataset and processing pipeline for the EPAD study, identifying quality control features and image-derived phenotypes related to aging and dementia.

bioRxiv · Sep 29, 2021 · PreprintNeuroscience

ExploreASL: an image processing pipeline for multi-center ASL perfusion MRI studies

Henk J. M. M. Mutsaerts, Jan Petr, Paul F. C. Groot, Pieter Vandemaele, Silvia Ingala, Andrew D. Robertson, Lena Václavů, Inge Rasmus Groote, Hugo J. Kuijf, Fernando O. Zelaya, Owen O’Daly, Saima Hilal, Alle Meije Wink, Ilse M.J. Kant, Matthan W.A. Caan, , Frederik Barkhof

ExploreASL provides a standardized image processing pipeline for multi-center ASL MRI studies, improving reproducibility and enabling group-level statistical analysis across diverse clinical populations.

NeuroImage · Jun 8, 2020Peer-reviewedNeuroscience

Progression of regional grey matter atrophy in multiple sclerosis

Arman Eshaghi, Razvan Valentin Marinescu, Alexandra L. Young, Nicholas C. Firth, Ferrán Prados, M. Jorge Cardoso, Carmen Tur, Floriana De Angelis, Niamh Cawley, Wallace J. Brownlee, Nicola De Stefano, Maria Laura Stromillo, Marco Battaglini, Serena Ruggieri, Claudio Gasperini, , Jacqueline A. Palace

This study identifies the sequence of grey matter atrophy progression in multiple sclerosis using longitudinal MRI data and shows its association with disability accumulation in relapsing-remitting MS.

Brain · Mar 16, 2018Peer-reviewedNeuroscience