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Rudolph, Jan 
ORCID: https://orcid.org/0000-0002-4849-8034; Rueckel, Johannes; Döpfert, Jörg; Ling, Wen Xin; Opalka, Jens; Brem, Christian; Hesse, Nina; Ingenerf, Maria ORCID: https://orcid.org/0000-0001-6465-4597; Koliogiannis, Vanessa; Solyanik, Olga; Hoppe, Boj F. ORCID: https://orcid.org/0000-0001-6248-5128; Zimmermann, Hanna ORCID: https://orcid.org/0000-0002-1476-3477; Flatz, Wilhelm; Forbrig, Robert ORCID: https://orcid.org/0000-0002-1054-1463; Patzig, Maximilian; Rauchmann, Boris‐Stephan; Perneczky, Robert ORCID: https://orcid.org/0000-0003-1981-7435; Peters, Oliver; Priller, Josef; Schneider, Anja; Fliessbach, Klaus; Hermann, Andreas; Wiltfang, Jens; Jessen, Frank; Düzel, Emrah; Buerger, Katharina ORCID: https://orcid.org/0000-0002-5898-9953; Teipel, Stefan; Laske, Christoph; Synofzik, Matthis; Spottke, Annika; Ewers, Michael; Dechent, Peter; Haynes, John‐Dylan; Levin, Johannes ORCID: https://orcid.org/0000-0001-5092-4306; Liebig, Thomas; Ricke, Jens; Ingrisch, Michael ORCID: https://orcid.org/0000-0003-0268-9078 und Stoecklein, Sophia
(2024):
Artificial intelligence–based rapid brain volumetry substantially improves differential diagnosis in dementia.
In: Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, Bd. 16, Nr. 4, e70037
[PDF, 1MB]
ORCID: https://orcid.org/0000-0002-4849-8034; Rueckel, Johannes; Döpfert, Jörg; Ling, Wen Xin; Opalka, Jens; Brem, Christian; Hesse, Nina; Ingenerf, Maria ORCID: https://orcid.org/0000-0001-6465-4597; Koliogiannis, Vanessa; Solyanik, Olga; Hoppe, Boj F. ORCID: https://orcid.org/0000-0001-6248-5128; Zimmermann, Hanna ORCID: https://orcid.org/0000-0002-1476-3477; Flatz, Wilhelm; Forbrig, Robert ORCID: https://orcid.org/0000-0002-1054-1463; Patzig, Maximilian; Rauchmann, Boris‐Stephan; Perneczky, Robert ORCID: https://orcid.org/0000-0003-1981-7435; Peters, Oliver; Priller, Josef; Schneider, Anja; Fliessbach, Klaus; Hermann, Andreas; Wiltfang, Jens; Jessen, Frank; Düzel, Emrah; Buerger, Katharina ORCID: https://orcid.org/0000-0002-5898-9953; Teipel, Stefan; Laske, Christoph; Synofzik, Matthis; Spottke, Annika; Ewers, Michael; Dechent, Peter; Haynes, John‐Dylan; Levin, Johannes ORCID: https://orcid.org/0000-0001-5092-4306; Liebig, Thomas; Ricke, Jens; Ingrisch, Michael ORCID: https://orcid.org/0000-0003-0268-9078 und Stoecklein, Sophia
(2024):
Artificial intelligence–based rapid brain volumetry substantially improves differential diagnosis in dementia.
In: Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, Bd. 16, Nr. 4, e70037
[PDF, 1MB]