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Neuroimaging, MRI, Machine Learning, Epilepsy, Brain Morphometry
Switzerland

Activities

Funding (1)

ScanOMetrics - Open-Source Brain Morphometry Assessment for Clinical Routine Using Explainable Deep Learning

2021-11-01 to 2025-10-31 | Grant
Swiss National Science Foundation (Bern, CH)
GRANT_NUMBER: 204593
Source: Self-asserted source
Michael Rebsamen via DimensionsWizard

Works (20)

Transient brain structure changes after high phenylalanine exposure in adults with phenylketonuria

Brain
2024-11-04 | Journal article
Contributors: Raphaela Muri; Christian Rummel; Richard McKinley; Michael Rebsamen; Stephanie Maissen-Abgottspon; Roland Kreis; Piotr Radojewski; Katarzyna Pospieszny; Michel Hochuli; Roland Wiest et al.
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Crossref

Growing importance of brain morphometry analysis in the clinical routine: The hidden impact of MR sequence parameters

Journal of Neuroradiology
2024-02 | Journal article
Contributors: Michael Rebsamen; Milena Capiglioni; Robert Hoepner; Anke Salmen; Roland Wiest; Piotr Radojewski; Christian Rummel
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Crossref

Cortical thickness and grey-matter volume anomaly detection in individual MRI scans: Comparison of two methods

2024-02-29 | Preprint
Contributors: David Romascano; Michael Rebsamen; Piotr Radojewski; Timo Blattner; Richard McKinley; Roland Wiest; Christian Rummel
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Crossref

Clinical Evaluation of a Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis

Clinical Neuroradiology
2023-12 | Journal article
Contributors: Michael Rebsamen; Baudouin Zongxin Jin; Tomas Klail; Sophie De Beukelaer; Rike Barth; Beata Rezny-Kasprzak; Uzeyir Ahmadli; Serge Vulliemoz; Margitta Seeck; Kaspar Schindler et al.
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Crossref

Anti‐neurochondrin antibody as a biomarker in primary autoimmune cerebellar ataxia—a case report and review of the literature

European Journal of Neurology
2023-04 | Journal article
Contributors: Anina Schwarzwald; Anke Salmen; Alejandro Xavier León Betancourt; Lara Diem; Helly Hammer; Piotr Radojewski; Michael Rebsamen; Nicole Kamber; Andrew Chan; Robert Hoepner et al.
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Crossref

Large-scale transient peri-ictal perfusion magnetic resonance imaging abnormalities detected by quantitative image analysis

Brain Communications
2023-03-02 | Journal article
Contributors: Manuel Köstner; Michael Rebsamen; Piotr Radojewski; Christian Rummel; Baudouin Jin; Raphael Meier; Uzeyir Ahmadli; Kaspar Schindler; Roland Wiest
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Crossref

Multiple sclerosis as a model to investigate SARS‐CoV‐2 effect on brain atrophy

CNS Neuroscience & Therapeutics
2023-02 | Journal article
Contributors: Michael Rebsamen; Christoph Friedli; Piotr Radojewski; Lara Diem; Andrew Chan; Roland Wiest; Anke Salmen; Christian Rummel; Robert Hoepner
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Crossref

Reliable brain morphometry from contrast‐enhanced T1w‐MRI in patients with multiple sclerosis

Human Brain Mapping
2023-02-15 | Journal article
Contributors: Michael Rebsamen; Richard McKinley; Piotr Radojewski; Maximilian Pistor; Christoph Friedli; Robert Hoepner; Anke Salmen; Andrew Chan; Mauricio Reyes; Franca Wagner et al.
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Crossref

Hippocampal volume in patients with bilateral and unilateral peripheral vestibular dysfunction

NeuroImage: Clinical
2022 | Journal article
Part of ISSN: 2213-1582
Contributors: Corina G. Schöne; Michael Rebsamen; Gerda Wyssen; Christian Rummel; Franca Wagner; Dominique Vibert; Fred W. Mast
Source: Self-asserted source
Michael Rebsamen

Cortical thickness and its relationship to cognitive performance and metabolic control in adults with phenylketonuria

Journal of Inherited Metabolic Disease
2022-11 | Journal article
Contributors: Raphaela Muri; Stephanie Maissen‐Abgottspon; Christian Rummel; Michael Rebsamen; Roland Wiest; Michel Hochuli; Bernadette M. Jansma; Roman Trepp; Regula Everts
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Crossref

A Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis Derived From Deep Learning-Based Segmentation of T1w-MRI

Frontiers in Neurology
2022-02 | Journal article
Part of ISSN: 1664-2295
Contributors: Michael Rebsamen; Piotr Radojewski; Richard McKinley; Mauricio Reyes; Roland Wiest; Christian Rummel
Source: Self-asserted source
Michael Rebsamen via Crossref Metadata Search

Somatotopy of cervical dystonia in motor-cerebellar networks: Evidence from resting state fMRI

Parkinsonism & Related Disorders
2022-01 | Journal article
Contributors: Giuseppe A. Zito; Clément Tarrano; Prasanthi Jegatheesan; Asya Ekmen; Benoît Béranger; Michael Rebsamen; Cécile Hubsch; Sophie Sangla; Cécilia Bonnet; Cécile Delorme et al.
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Crossref

Triplanar Ensemble of 3D-to-2D CNNs with Label-Uncertainty for Brain Tumor Segmentation

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
2020 | Book chapter
Part of ISBN: 9783030466398
Part of ISBN: 9783030466404
Part of ISSN: 0302-9743
Part of ISSN: 1611-3349
Source: Self-asserted source
Michael Rebsamen

Direct cortical thickness estimation using deep learning‐based anatomy segmentation and cortex parcellation

Human Brain Mapping
2020-12 | Journal article
Contributors: Michael Rebsamen; Christian Rummel; Mauricio Reyes; Roland Wiest; Richard McKinley
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Crossref

Monro-Kellie Hypothesis: Increase of Ventricular CSF Volume after Surgical Closure of a Spinal Dural Leak in Patients with Spontaneous Intracranial Hypotension

American Journal of Neuroradiology
2020-11 | Journal article
Contributors: T. Dobrocky; M. Rebsamen; C. Rummel; L. Häni; P. Mordasini; A. Raabe; C.T. Ulrich; J. Gralla; E.I. Piechowiak; J. Beck
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Crossref

The ENIGMA-Epilepsy working group: Mapping disease from large data sets.

Human brain mapping
2020-05-29 | Journal article
Source: Self-asserted source
Michael Rebsamen

Brain Morphometry Estimation: From Hours to Seconds Using Deep Learning

Frontiers in Neurology
2020-04-08 | Journal article
Part of ISSN: 1664-2295
Source: Self-asserted source
Michael Rebsamen

Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
2019 | Book chapter
Part of ISBN: 9783030117252
Part of ISBN: 9783030117269
Part of ISSN: 0302-9743
Part of ISSN: 1611-3349
Source: Self-asserted source
Michael Rebsamen

Surface-Based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019

2019 | Book chapter
Contributors: Michael Rebsamen; Christian Rummel; Ines Mürner-Lavanchy; Mauricio Reyes; Roland Wiest; Richard McKinley
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Crossref

Divide and Conquer: Stratifying Training Data by Tumor Grade Improves Deep Learning-Based Brain Tumor Segmentation

Frontiers in Neuroscience
2019-11-05 | Journal article
Part of ISSN: 1662-453X
Source: Self-asserted source
Michael Rebsamen