Fast Automatic Bone Segmentation Using Machine Learning for MRI Based Dynamic 3d Hip Impingement Simulation Based on t1 VIBE DIXON of the Pelvis in Routine MRI

Lerch, T; Zeng, G; Schmaranzer, F; Boschung, A; Gerber, N; Siebenrock, K-A; Tannast, M (November 2020). Fast Automatic Bone Segmentation Using Machine Learning for MRI Based Dynamic 3d Hip Impingement Simulation Based on t1 VIBE DIXON of the Pelvis in Routine MRI (Unpublished). In: RSNA 2020.

Item Type:

 Conference or Workshop Item (Speech)

Division/Institute:

 04 Faculty of Medicine > Faculty Institutions > sitem Center for Translational Medicine and Biomedical Entrepreneurship
04 Faculty of Medicine > Department of Orthopaedic, Plastic and Hand Surgery (DOPH) > Clinic of Orthopaedic Surgery
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research
04 Faculty of Medicine > Faculty Institutions > sitem Center for Translational Medicine and Biomedical Entrepreneurship > Personalised Medicine

UniBE Contributor:

 Lerch, Till; Zeng, Guodong; Schmaranzer, Florian; Boschung, Adam; Siebenrock, Klaus-Arno and Tannast, Moritz

Subjects:

 600 Technology > 610 Medicine & health
500 Science > 570 Life sciences; biology

Language:

 English

Submitter:

 Maria de Fatima Henriques Bernardo

Date Deposited:

 18 Jan 2021 16:17

Last Modified:

 17 May 2021 17:12

Additional Information:

ID: 20005974
Online congress

URI:

 https://boris.unibe.ch/id/eprint/150047

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