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Michael Rebsamen

Observed names: M. Rebsamen, Rebsamen M, Rebsamen, Michael, Rebsamen, Michael Andreas
Observed institutions: University of Bern, University of Zurich, University Hospital of Bern, Klinik Bethesda, Universitätsklinik Balgrist, Institut für Diagnostische und Interventionelle Neuroradiologie
ORCID: 0000-0002-8441-1485
Observed ORCID: 0000-0002-8441-1485
OpenAlex ID: A5000251783
The ENIGMA‐Epilepsy working group: Mapping disease from large data sets
2020 · Sanjay M. Sisodiya, Christopher D. Whelan, et al. · Human Brain Mapping · 87
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Triplanar Ensemble of 3D-to-2D CNNs with Label-Uncertainty for Brain Tumor Segmentation
2020 · Richard McKinley, Michael Rebsamen, et al. · Lecture notes in computer science · 75
Direct cortical thickness estimation using deep learning‐based anatomy segmentation and cortex parcellation
2020 · Michael Rebsamen, Christian Rummel, et al. · Human Brain Mapping · 64
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results
2022 · Raghav Mehta, Angelos Filos, et al. · The Journal of Machine Learning for Biomedical Imaging · 63
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Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction
2019 · Yannick Suter, Alain Jungo, et al. · Lecture notes in computer science · 54
Topographic divergence of atypical cortical asymmetry and atrophy patterns in temporal lobe epilepsy
2021 · Bo-yong Park, Sara Larivière, et al. · Brain · 52
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Patterns of subregional cerebellar atrophy across epilepsy syndromes: An ENIGMA‐Epilepsy study
2024 · Rebecca Kerestes, Andrew Perry, et al. · Epilepsia · 29
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Monro-Kellie Hypothesis: Increase of Ventricular CSF Volume after Surgical Closure of a Spinal Dural Leak in Patients with Spontaneous Intracranial Hypotension
2020 · T. Dobrocky, M. Rebsamen, et al. · American Journal of Neuroradiology · 26
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Brain Morphometry Estimation: From Hours to Seconds Using Deep Learning
2020 · Michael Rebsamen, Yannick Suter, et al. · Frontiers in Neurology · 26
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Divide and Conquer: Stratifying Training Data by Tumor Grade Improves Deep Learning-Based Brain Tumor Segmentation
2019 · Michael Rebsamen, Urspeter Knecht, et al. · Frontiers in Neuroscience · 25
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Reliable brain morphometry from contrast‐enhanced T1w‐MRI in patients with multiple sclerosis
2022 · Michael Rebsamen, Richard McKinley, et al. · Human Brain Mapping · 22
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Transient brain structure changes after high phenylalanine exposure in adults with phenylketonuria
2024 · Raphaela Muri, Christian Rummel, et al. · Brain · 17
Somatotopy of cervical dystonia in motor-cerebellar networks: Evidence from resting state fMRI
2021 · Giuseppe A. Zito, Clément Tarrano, et al. · Parkinsonism & Related Disorders · 15
Cortical thickness and its relationship to cognitive performance and metabolic control in adults with phenylketonuria
2022 · Raphaela Muri, Stephanie Maissen‐Abgottspon, et al. · Journal of Inherited Metabolic Disease · 13
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QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
2021 · Mehta, Raghav, Filos, Angelos, et al. · arXiv (Cornell University) · 13
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Large-scale transient peri-ictal perfusion magnetic resonance imaging abnormalities detected by quantitative image analysis
2023 · Manuel Köstner, Michael Rebsamen, et al. · Brain Communications · 12
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Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks
2019 · McKinley, Richard, Rebsamen, Michael, et al. · arXiv (Cornell University) · 11
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Growing importance of brain morphometry analysis in the clinical routine: The hidden impact of MR sequence parameters
2023 · Michael Rebsamen, Milena Capiglioni, et al. · Journal of Neuroradiology · 10
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Hippocampal volume in patients with bilateral and unilateral peripheral vestibular dysfunction
2022 · Corina G. Schöne, Michael Rebsamen, et al. · NeuroImage Clinical · 10
Multiple sclerosis as a model to investigate SARS‐CoV ‐2 effect on brain atrophy
2022 · Michael Rebsamen, Christoph Friedli, et al. · CNS Neuroscience & Therapeutics · 9
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A Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis Derived From Deep Learning-Based Segmentation of T1w-MRI
2022 · Michael Rebsamen, Piotr Radojewski, et al. · Frontiers in Neurology · 9
Anti‐neurochondrin antibody as a biomarker in primary autoimmune cerebellar ataxia—a case report and review of the literature
2022 · Anina Schwarzwald, Anke Salmen, et al. · European Journal of Neurology · 8
QU-BraTS: MICCAI BraTS 2020 challenge on quantifying uncertainty in brain tumor segmentation -- analysis of ranking metrics and benchmarking results
2021 · Mehta, Raghav, Filos, Angelos, et al. · UPCommons institutional repository (Universitat Politècnica de Catalunya) · 7
Case report: Psychosis and catatonia in an adolescent patient with adipsic hypernatremia and autoantibodies against the subfornical organ
2023 · Matthias Liebrand, Michael Rebsamen, et al. · Frontiers in Psychiatry · 6
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Surface-Based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019
2019 · Michael Rebsamen, Christian Rummel, et al. · Lecture notes in computer science · 6
Works count: 45
Citation count: 687
H-index: 13
I10-index: 19
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