| Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2315 | 2018 |
| Triplanar Ensemble of 3D-to-2D CNNs with Label-Uncertainty for Brain Tumor Segmentation R McKinley, M Rebsamen, R Meier, R Wiest International MICCAI Brainlesion Workshop, 379-387, 2019 | 89 | 2019 |
| The ENIGMA‐Epilepsy working group: Mapping disease from large data sets SM Sisodiya, CD Whelan, SN Hatton, K Huynh, A Altmann, M Ryten, ... Human brain mapping, 2020 | 82 | 2020 |
| Deep learning versus classical regression for brain tumor patient survival prediction Y Suter, A Jungo, M Rebsamen, U Knecht, E Herrmann, R Wiest, M Reyes Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 61 | 2019 |
| Direct cortical thickness estimation using deep learning‐based anatomy segmentation and cortex parcellation M Rebsamen, C Rummel, M Reyes, R Wiest, R McKinley Human brain mapping 41 (17), 4804-4814, 2020 | 53 | 2020 |
| Topographic divergence of atypical cortical asymmetry and atrophy patterns in temporal lobe epilepsy B Park, S Larivière, R Rodríguez-Cruces, J Royer, S Tavakol, Y Wang, ... Brain, 2021 | 37 | 2021 |
| Divide and Conquer: Stratifying training data by tumor grade improves deep learning-based brain tumor segmentation M Rebsamen, U Knecht, M Reyes, R Wiest, R Meier, R McKinley Frontiers in Neuroscience 13, 2019 | 23 | 2019 |
| Monro-Kellie Hypothesis: Increase of Ventricular CSF Volume after Surgical Closure of a Spinal Dural Leak in Patients with Spontaneous Intracranial Hypotension T Dobrocky, M Rebsamen, C Rummel, L Häni, P Mordasini, A Raabe, ... American Journal of Neuroradiology 41 (11), 2055-2061, 2020 | 22 | 2020 |
| Brain Morphometry Estimation: From Hours to Seconds Using Deep Learning M Rebsamen, Y Suter, R Wiest, M Reyes, C Rummel Frontiers in Neurology 11, 244, 2020 | 20 | 2020 |
| Reliable brain morphometry from contrast‐enhanced T1w‐MRI in patients with multiple sclerosis M Rebsamen, R McKinley, P Radojewski, M Pistor, C Friedli, R Hoepner, ... Human brain mapping 44 (3), 970-979, 2023 | 19 | 2023 |
| Patterns of subregional cerebellar atrophy across epilepsy syndromes: An ENIGMA‐Epilepsy study R Kerestes, A Perry, L Vivash, TJ O'Brien, MKM Alvim, D Arienzo, ... Epilepsia 65 (4), 1072-1091, 2024 | 10 | 2024 |
| Hippocampal volume in patients with bilateral and unilateral peripheral vestibular dysfunction CG Schöne, M Rebsamen, G Wyssen, C Rummel, F Wagner, D Vibert, ... NeuroImage: Clinical 36, 103212, 2022 | 10 | 2022 |
| Somatotopy of cervical dystonia in motor-cerebellar networks: Evidence from resting state fMRI GA Zito, C Tarrano, P Jegatheesan, A Ekmen, B Béranger, M Rebsamen, ... Parkinsonism & related disorders 94, 30-36, 2022 | 10 | 2022 |
| Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks R McKinley, M Rebsamen, R Meier, M Reyes, C Rummel, R Wiest arXiv preprint arXiv:1904.02436, 2019 | 10 | 2019 |
| Cortical thickness and its relationship to cognitive performance and metabolic control in adults with phenylketonuria R Muri, S Maissen‐Abgottspon, C Rummel, M Rebsamen, R Wiest, ... Journal of inherited metabolic disease 45 (6), 1082-1093, 2022 | 9 | 2022 |
| Multiple sclerosis as a model to investigate SARS‐CoV‐2 effect on brain atrophy M Rebsamen, C Friedli, P Radojewski, L Diem, A Chan, R Wiest, ... CNS Neuroscience & Therapeutics, 2022 | 8 | 2022 |
| A Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis Derived From Deep Learning-Based Segmentation of T1w-MRI M Rebsamen, P Radojewski, R McKinley, M Reyes, R Wiest, C Rummel Frontiers in neurology 13, 2022 | 8 | 2022 |
| Transient brain structure changes after high phenylalanine exposure in adults with phenylketonuria R Muri, C Rummel, R McKinley, M Rebsamen, S Maissen-Abgottspon, ... Brain 147 (11), 3863-3873, 2024 | 7 | 2024 |
| Anti‐neurochondrin antibody as a biomarker in primary autoimmune cerebellar ataxia—a case report and review of the literature A Schwarzwald, A Salmen, AX Léon Betancourt, L Diem, H Hammer, ... European journal of neurology, 2022 | 6 | 2022 |
| Surface-Based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019 M Rebsamen, C Rummel, I Mürner-Lavanchy, M Reyes, R Wiest, ... Adolescent Brain Cognitive Development Neurocognitive Prediction: First …, 2019 | 6 | 2019 |
Roland WiestProfessorVerified email at insel.ch
