Automated Evaluation of the Whole Body's Muscle-fat Composition by Machine Learning for Magnetic Resonance Images (MRI).

Bosbach, Wolfram Andreas; Senge, Jan Felix; Gurnari, Davide; Vergani, L; Buccino, Federica; Tindall, Marcus; Burfitt, Matthew; Stagg, Charlotte; Clarke, William; Heinrich, Martin; Kolisch, Rainer; Heiss, Christian; Ramedani, Saeid; von Tengg-Kobligk, Hendrik; Morhard, Christoph; Daneshvar, Keivan; Maryanski, M; Marszewska, M; Winiecki, Janusz; Haupt, Fabian; ... (April 2022). Automated Evaluation of the Whole Body's Muscle-fat Composition by Machine Learning for Magnetic Resonance Images (MRI). In: The 4th event of the Giessen International Conference Series on Trauma Surgery Technology. Warsaw. 10.5281/zenodo.7191419

Item Type:

Conference or Workshop Item (Abstract)

Division/Institute:

04 Faculty of Medicine > Department of Cardiovascular Disorders (DHGE) > Clinic of Angiology
04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > DBMR Forschung Mu35 > Forschungsgruppe Hämatologie / Onkologie (Pädiatrie)
04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > DBMR Forschung Mu35 > Forschungsgruppe Hämatologie / Onkologie (Pädiatrie)

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Bosbach, Wolfram Andreas, von Tengg-Kobligk, Hendrik, Daneshvar, Keivan, Haupt, Fabian, Huber, Adrian Thomas, Calastra, Camilla Giulia, Tuleja, Aleksandra Beata, Rössler, Jochen Karl, Baumgartner, Iris

Subjects:

600 Technology > 610 Medicine & health

Language:

English

Submitter:

Maria de Fatima Henriques Bernardo

Date Deposited:

19 Dec 2023 14:04

Last Modified:

19 Dec 2023 14:04

Publisher DOI:

10.5281/zenodo.7191419

Additional Information:

Conference proceeding

URI:

https://boris.unibe.ch/id/eprint/190390

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