Deep learning for fully-automatic quantification of avascular necrosis of the femoral head on 3D hip MRI in young patients eligible for joint preserving hip surgery: A pilot study

Ruckli, Adrian Cyrill; Vuilleumier, S; Boschung, A; Lerch, Till; Steppacher, Simon Damian; Tannast, Moritz; Siebenrock, Klaus-Arno; Burger, Jürgen; Gerber, Nicolas; Schmaranzer, Florian (2021). Deep learning for fully-automatic quantification of avascular necrosis of the femoral head on 3D hip MRI in young patients eligible for joint preserving hip surgery: A pilot study (Unpublished). In: SCR (Swiss Congress of Radiology).

Item Type:

 Conference or Workshop Item (Poster)

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 Head Organs and Neurology (DKNS) > Clinic of Ear, Nose and Throat Disorders (ENT)
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology
08 Faculty of Science > School of Biomedical and Precision Engineering (SBPE)
08 Faculty of Science > School of Biomedical and Precision Engineering (SBPE) > Personalised Medicine

UniBE Contributor:

 Ruckli, Adrian Cyrill, Lerch, Till, Steppacher, Simon Damian, Tannast, Moritz, Siebenrock, Klaus-Arno, Burger, Jürgen, Gerber, Nicolas, Schmaranzer, Florian

Subjects:

 600 Technology > 610 Medicine & health

Language:

 English

Submitter:

 Maria de Fatima Henriques Bernardo

Date Deposited:

 11 May 2021 08:50

Last Modified:

 24 Oct 2023 10:47

Additional Information:

Online event

URI:

 https://boris.unibe.ch/id/eprint/156214

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