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Michael Rebsamen

Showing results (1-10 of 23) with videos related to

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Human Brain Mapping|August 14, 2020
Direct cortical thickness estimation using deep learning-based anatomy segmentation and cortex parcellationMichael Rebsamen, Christian Rummel, Mauricio Reyes, et al.
Frontiers in Neurology|April 24, 2020
Brain Morphometry Estimation: From Hours to Seconds Using Deep LearningMichael Rebsamen, Yannick Suter, Roland Wiest, et al.
Frontiers in Neuroscience|November 22, 2019
Divide and Conquer: Stratifying Training Data by Tumor Grade Improves Deep Learning-Based Brain Tumor SegmentationMichael Rebsamen, Urspeter Knecht, Mauricio Reyes, et al.
Frontiers in Neurology|March 7, 2022
A Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis Derived From Deep Learning-Based Segmentation of T1w-MRIMichael Rebsamen, Piotr Radojewski, Richard McKinley, et al.
Journal of Neuroradiology = Journal De Neuroradiologie|April 28, 2023
Growing importance of brain morphometry analysis in the clinical routine: The hidden impact of MR sequence parametersMichael Rebsamen, Milena Capiglioni, Robert Hoepner, et al.
Neuroimage. Clinical|June 1, 2024
Cortical thickness and grey-matter volume anomaly detection in individual MRI scans: Comparison of two methodsDavid Romascano, Michael Rebsamen, Piotr Radojewski, et al.
Neuroimage. Clinical|October 9, 2022
Hippocampal volume in patients with bilateral and unilateral peripheral vestibular dysfunctionCorina G Schöne, Michael Rebsamen, Gerda Wyssen, et al.
Journal of Experimental Orthopaedics|June 29, 2026
Promising performance of locally deployed large language models for postoperative orthopaedic patient questions: An In Silico analysisLea Lanter, Sophie Masel, Bettina Hochreiter, et al.
Brain Communications|March 17, 2023
Large-scale transient peri-ictal perfusion magnetic resonance imaging abnormalities detected by quantitative image analysisManuel Köstner, Michael Rebsamen, Piotr Radojewski, et al.
CNS Neuroscience & Therapeutics|December 8, 2022
Multiple sclerosis as a model to investigate SARS-CoV-2 effect on brain atrophyMichael Rebsamen, Christoph Friedli, Piotr Radojewski, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Human Brain Mapping|August 14, 2020
Direct cortical thickness estimation using deep learning-based anatomy segmentation and cortex parcellationMichael Rebsamen, Christian Rummel, Mauricio Reyes, et al.
Frontiers in Neurology|April 24, 2020
Brain Morphometry Estimation: From Hours to Seconds Using Deep LearningMichael Rebsamen, Yannick Suter, Roland Wiest, et al.
Frontiers in Neuroscience|November 22, 2019
Divide and Conquer: Stratifying Training Data by Tumor Grade Improves Deep Learning-Based Brain Tumor SegmentationMichael Rebsamen, Urspeter Knecht, Mauricio Reyes, et al.
Frontiers in Neurology|March 7, 2022
A Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis Derived From Deep Learning-Based Segmentation of T1w-MRIMichael Rebsamen, Piotr Radojewski, Richard McKinley, et al.
Journal of Neuroradiology = Journal De Neuroradiologie|April 28, 2023
Growing importance of brain morphometry analysis in the clinical routine: The hidden impact of MR sequence parametersMichael Rebsamen, Milena Capiglioni, Robert Hoepner, et al.
Neuroimage. Clinical|June 1, 2024
Cortical thickness and grey-matter volume anomaly detection in individual MRI scans: Comparison of two methodsDavid Romascano, Michael Rebsamen, Piotr Radojewski, et al.
Neuroimage. Clinical|October 9, 2022
Hippocampal volume in patients with bilateral and unilateral peripheral vestibular dysfunctionCorina G Schöne, Michael Rebsamen, Gerda Wyssen, et al.
Journal of Experimental Orthopaedics|June 29, 2026
Promising performance of locally deployed large language models for postoperative orthopaedic patient questions: An In Silico analysisLea Lanter, Sophie Masel, Bettina Hochreiter, et al.
Brain Communications|March 17, 2023
Large-scale transient peri-ictal perfusion magnetic resonance imaging abnormalities detected by quantitative image analysisManuel Köstner, Michael Rebsamen, Piotr Radojewski, et al.
CNS Neuroscience & Therapeutics|December 8, 2022
Multiple sclerosis as a model to investigate SARS-CoV-2 effect on brain atrophyMichael Rebsamen, Christoph Friedli, Piotr Radojewski, et al.
Pageof 3