Viktor Wottschel
Viktor Wottschel
Data Scientist, Amsterdam University Medical Center
Verified email at amsterdamumc.nl
Title
Cited by
Cited by
Year
Progression of regional grey matter atrophy in multiple sclerosis
A Eshaghi, RV Marinescu, AL Young, NC Firth, F Prados, ...
Brain 141 (6), 1665-1677, 2018
922018
Image quality transfer and applications in diffusion MRI
DC Alexander, D Zikic, A Ghosh, R Tanno, V Wottschel, J Zhang, E Kaden, ...
NeuroImage 152, 283-298, 2017
612017
Predicting outcome in clinically isolated syndrome using machine learning
V Wottschel, DC Alexander, PP Kwok, DT Chard, ML Stromillo, ...
NeuroImage: Clinical 7, 281-287, 2015
462015
Gray matter MRI differentiates neuromyelitis optica from multiple sclerosis using random forest
A Eshaghi, V Wottschel, R Cortese, M Calabrese, MA Sahraian, ...
Neurology 87 (23), 2463-2470, 2016
322016
MRI predictors of amyloid pathology: results from the EMIF-AD Multimodal Biomarker Discovery study
M Ten Kate, A Redolfi, E Peira, I Bos, SJ Vos, R Vandenberghe, S Gabel, ...
Alzheimer's research & therapy 10 (1), 1-12, 2018
282018
Localization of the epileptogenic zone using interictal MEG and machine learning in a large cohort of drug-resistant epilepsy patients
IA Nissen, CJ Stam, ECW van Straaten, V Wottschel, JC Reijneveld, ...
Frontiers in neurology 9, 647, 2018
132018
MRI-based prediction of conversion from clinically isolated syndrome to clinically definite multiple sclerosis using SVM and lesion geometry
K Bendfeldt, B Taschler, L Gaetano, P Madoerin, P Kuster, ...
Brain imaging and behavior 13 (5), 1361-1374, 2019
82019
SVM recursive feature elimination analyses of structural brain MRI predicts near-term relapses in patients with clinically isolated syndromes suggestive of multiple sclerosis
V Wottschel, DT Chard, C Enzinger, M Filippi, JL Frederiksen, C Gasperini, ...
NeuroImage: Clinical 24, 102011, 2019
82019
ExploreASL: an image processing pipeline for multi-center ASL perfusion MRI studies
HJMM Mutsaerts, J Petr, P Groot, P Vandemaele, S Ingala, AD Robertson, ...
NeuroImage 219, 117031, 2020
72020
Multi-study validation of data-driven disease progression models to characterize evolution of biomarkers in Alzheimer's disease
D Archetti, S Ingala, V Venkatraghavan, V Wottschel, AL Young, M Bellio, ...
NeuroImage: Clinical 24, 101954, 2019
62019
Multitracer model for staging cortical amyloid deposition using PET imaging
LE Collij, F Heeman, G Salvadó, S Ingala, D Altomare, A de Wilde, ...
Neurology 95 (11), e1538-e1553, 2020
32020
Reduced accuracy of MRI deep grey matter segmentation in multiple sclerosis: an evaluation of four automated methods against manual reference segmentations in a multi-center cohort
A de Sitter, T Verhoeven, J Burggraaff, Y Liu, J Simoes, S Ruggieri, ...
Journal of neurology 267 (12), 3541-3554, 2020
22020
P2‐445: EVENT‐BASED MODELING OF THE TEMPORAL ORDERING OF REGIONAL β‐AMYLOID DEPOSITION IN THE BRAIN
IL Alves, L Collij, F Heeman, V Wottschel, E Konijnenberg, A den Braber, ...
Alzheimer's & Dementia 14 (7S_Part_16), P887-P888, 2018
22018
Studying the extracellular contribution to the double wave vector diffusion-weighted signal
P Ulloa, V Wottschel, MA Koch
Current Directions in Biomedical Engineering 1 (1), 240-244, 2015
22015
Prediction of second neurological attack in patients with clinically isolated syndrome using support vector machines
V Wottschel, O Ciccarelli, DT Chard, DH Miller, DC Alexander
2013 International Workshop on Pattern Recognition in Neuroimaging, 82-85, 2013
22013
The relation between APOE genotype and cerebral microbleeds in cognitively unimpaired middle-and old-aged individuals
S Ingala, L Mazzai, CH Sudre, G Salvadó, A Brugulat-Serrat, V Wottschel, ...
Neurobiology of Aging 95, 104-114, 2020
12020
Supervised machine learning in multiple sclerosis: applications to clinically isolated syndromes
V Wottschel
UCL (University College London), 2017
12017
P1‐009: A Data‐Driven Comparison of the Progression of Brain Atrophy in Posterior Cortical Atrophy and Alzheimer's Disease
RV Marinescu, AL Young, NP Oxtoby, NC Firth, M Lorenzi, A Eshaghi, ...
Alzheimer's & Dementia 12, P401-P402, 2016
12016
Prediction of Second Clinical Attack in CIS patients using SVMs
V Wottschel, DC Alexander, DT Chard, DH Miller, O Ciccarelli
Magnetic Resonance Materials in Physics, Biology and Medicine 26 (1), 262-263, 2013
12013
Predicting clinical conversion to multiple sclerosis in patients with clinically isolated syndrome using machine learning techniques
O Ciccarelli, PP Kwok, V Wottschel, D Chard, ML Stromillo, N De Stefano, ...
MULTIPLE SCLEROSIS JOURNAL 18, 30-31, 2012
12012
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