Viktor Wottschel
Viktor Wottschel
Research Associate, VUmc
Verified email at vumc.nl
TitleCited byYear
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
392017
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
352018
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
302015
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
222016
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), 100, 2018
82018
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
52019
Localization of the epileptogenic zone using interictal MEG and machine learning in a large cohort of drug-resistant epilepsy patients
IA Nissen, CJ Stam, EC van Straaten, V Wottschel, JC Reijneveld, ...
Frontiers in Neurology 9, 647, 2018
42018
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
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
Temporal ordering of multimodal biomarker abnormality in multiple sclerosis
I Dekker, MM Schoonheim, V Venkatraghavan, AJC Eijlers, I Brouwer, ...
MULTIPLE SCLEROSIS JOURNAL 25, 461-462, 2019
2019
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
2019
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
2019
PREDICTING COGNITIVE DECLINE THROUGH STRUCTURAL MRI BIOMARKERS: RESULTS FROM THE EMIF-AD BIOMARKER DISCOVERY STUDY
S Ingala, M ten Kate, A Redolfi, V Wottschel, E Peira, I Bos, SJB Vos, ...
Alzheimer's & Dementia: The Journal of the Alzheimer's Association 14 (7 …, 2018
2018
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: The Journal of the Alzheimer's Association 14 (7 …, 2018
2018
AUTOMATED SELECTION OF MULTIMODAL MRI BIOMARKERS FOR DIAGNOSIS OF DEMENTIA
V Wottschel, AM Wink, BM Tijms, L Collij, J Kuijer, WM van der Flier, ...
Alzheimer's & Dementia: The Journal of the Alzheimer's Association 13 (7 …, 2017
2017
Supervised machine learning in multiple sclerosis: applications to clinically isolated syndromes
V Wottschel
UCL (University College London), 2017
2017
Progression of regional grey matter atrophy in multiple sclerosis
A Eshaghi, RV Marinescu, AL Young, NC Firth, F Prados, MJ Cardoso, ...
bioRxiv, 190116, 2017
2017
Individual prediction of clinically definite MS in patients presenting with clinically isolated syndrome using machine learning
V Wottschel, DC Alexander, DT Chard, C Enzinger, M Filippi, ...
32nd Congress of the European-Committee-for-Treatment-and-Research-in …, 2016
2016
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Articles 1–20