Title |
Automated volumetric assessment with artificial neural networks might enable a more accurate assessment of disease burden in patients with multiple sclerosis |
|---|---|
Involved |
Gianluca Brugnara (Verfasser)
Fabian Isensee (Verfasser) Ulf Neuberger (Verfasser) David Bonekamp (Verfasser)
Jens Petersen (Verfasser)
Ricarda Diem (Verfasser) Brigitte Wildemann (Verfasser) Sabine Heiland (Verfasser) Wolfgang Wick (Verfasser) Martin Bendszus (Verfasser) Klaus H. Maier-Hein (Verfasser) Philipp Vollmuth (Verfasser) SpringerLink (Online service) (Sonstige) |
Published in |
European radiology : official organ of the European Association of Radiology 30, 4, 3.1.2020, date:4.2020, Seite 2356-2364 |
Published |
2020 |
Language |
|
Country |
|
Topic |
|
Subject |
Imaging / Radiology.
Diagnostic Radiology. Interventional Radiology. Neuroradiology.
Ultrasound.
Internal Medicine. |
DDC notation |
|
Persistent identifier |
urn:nbn:de:101:1-2020052803112311126922 (URN) |
Record ID |
1211086593 |
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