| 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 | 328 | 2018 |
| 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 | 127 | 2017 |
| 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 | 105 | 2020 |
| 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 | 87 | 2015 |
| 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, 1-12, 2018 | 75 | 2018 |
| 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 | 73 | 2016 |
| 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 | 63 | 2020 |
| 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 | 50 | 2019 |
| Application of the ATN classification scheme in a population without dementia: Findings from the EPAD cohort S Ingala, C De Boer, LA Masselink, I Vergari, L Lorenzini, K Blennow, ... Alzheimer's & Dementia 17 (7), 1189-1204, 2021 | 48 | 2021 |
| 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 | 47 | 2018 |
| Spatial-temporal patterns of β-amyloid accumulation: a subtype and stage inference model analysis LE Collij, G Salvadó, V Wottschel, SE Mastenbroek, P Schoenmakers, ... Neurology 98 (17), e1692-e1703, 2022 | 43 | 2022 |
| 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 | 41 | 2019 |
| 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, 1361-1374, 2019 | 32 | 2019 |
| The sequence of structural, functional and cognitive changes in multiple sclerosis I Dekker, MM Schoonheim, V Venkatraghavan, AJC Eijlers, I Brouwer, ... NeuroImage: Clinical 29, 102550, 2021 | 28 | 2021 |
| White matter microstructure disruption in early stage amyloid pathology LE Collij, S Ingala, H Top, V Wottschel, KE Stickney, J Tomassen, ... Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 13 (1 …, 2021 | 24 | 2021 |
| The open-access European Prevention of Alzheimer’s Dementia (EPAD) MRI dataset and processing workflow L Lorenzini, S Ingala, AM Wink, JPA Kuijer, V Wottschel, M Dijsselhof, ... NeuroImage: Clinical 35, 103106, 2022 | 17 | 2022 |
| 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 | 17 | 2020 |
| 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, 3541-3554, 2020 | 14 | 2020 |
| Opportunities for understanding MS mechanisms and progression with MRI using large-scale data sharing and artificial intelligence H Vrenken, M Jenkinson, DL Pham, CRG Guttmann, D Pareto, ... Neurology 97 (21), 989-999, 2021 | 11 | 2021 |
| Clinical applicability of quantitative atrophy measures on MRI in patients suspected of Alzheimer’s disease S Ingala, IS van Maurik, D Altomare, R Wurm, E Dicks, RA van Schijndel, ... European Radiology 32 (11), 7789-7799, 2022 | 4 | 2022 |
Frederik BarkhofVU University Medical CenterVerified email at vumc.nl
