John van Swieten

According to our database, John van Swieten authored at least 4 papers between 2014 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease.

Esther E. Bron, Stefan Klein, Janne M. Papma, Lize C. Jiskoot, Vikram Venkatraghavan, Jara Linders, Pauline Aalten, Peter Paul De Deyn, Geert Jan Biessels, Jurgen A. H. R. Claassen, Huub A. M. Middelkoop, Marion Smits, Wiro J. Niessen, John van Swieten, Wiesje M. van der Flier, Inez H. G. B. Ramakers, Aad van der Lugt

CoRR, 2020

2019

The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint.

Enrico Premi, Vince D. Calhoun, Matteo Diano, Stefano Gazzina, Maura Cosseddu, Antonella Alberici, Silvana Archetti, Donata Paternicò, Roberto Gasparotti, John van Swieten, Daniela Galimberti, Raquel Sánchez-Valle, Robert Laforce Jr., Fermin Moreno, Matthis Synofzik, Caroline Graff, Mario Masellis, Maria Carmela Tartaglia, Miren Zulaica

NeuroImage, 2019

Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort.

Claire Cury, Stanley Durrleman, David M. Cash, Marco Lorenzi, Jennifer M. Nicholas, Martina Bocchetta, John van Swieten, Barbara Borroni, Daniela Galimberti, Mario Masellis, Maria Carmela Tartaglia, James B. Rowe, Caroline Graff, Fabrizio Tagliavini, Giovanni B. Frisoni, Robert Laforce Jr., Elizabeth C. Finger, Alexandre de Mendonça, Jason D. Warren

NeuroImage, 2019

2014

Feature Selection Based on SVM Significance Maps for Classification of Dementia.

Esther Bron, Marion Smits, John van Swieten, Wiro J. Niessen, Stefan Klein

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014