Machine Learning-Based Perivascular Space Volumetry in Alzheimer Disease

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Machine Learning-Based Perivascular Space Volumetry in Alzheimer Disease

Author: Deike, Katerina; Decker, Andreas; Scheyhing, Paul; Harten, Julia; Zimmermann, Nadine; Paech, Daniel; Peters, Oliver; Freiesleben, Silka D.; Schneider, Luisa-Sophie; Preis, Lukas; Priller, Josef; Spruth, Eike; Altenstein, Slawek; Lohse, Andrea; Fliessbach, Klaus; Kimmich, Okka; Wiltfang, Jens; Bartels, Claudia; Hansen, Niels; Jessen, Frank; Rostamzadeh, Ayda; Duezel, Emrah; Glanz, Wenzel; Incesoy, Enise I.; Butryn, Michaela; Buerger, Katharina; Janowitz, Daniel; Ewers, Michael; Perneczky, Robert; Rauchmann, Boris-Stephan; Teipel, Stefan; Kilimann, Ingo; Goerss, Doreen; Laske, Christoph; Munk, Matthias H.; Spottke, Annika; Roy, Nina; Wagner, Michael; Roeske, Sandra; Heneka, Michael T.; Brosseron, Frederic; Ramirez, Alfredo; Dobisch, Laura; Wolfsgruber, Steffen; Kleineidam, Luca; Yakupov, Renat; Stark, Melina; Schmid, Matthias C.; Berger, Moritz; Hetzer, Stefan; Dechent, Peter; Scheffler, Klaus; Petzold, Gabor C.; Schneider, Anja; Effland, Alexander; Radbruch, Alexander
Tübinger Autor(en):
Laske, Christoph
Scheffler, Klaus
Munk, Matthias Hans Joachim
Published in: Investigative Radiology (2024), Bd. 59, H. 9, S. 667-676
Verlagsangabe: Philadelphia : Lippincott Williams & Wilkins
Language: English
Full text: http://dx.doi.org/10.1097/RLI.0000000000001077
ISSN: 0020-9996
DDC Classifikation: 610 - Medicine and health
Dokumentart: Article
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