Publications

Marie-Sophie von Braun, Kristin Starke, Lucas Peter, Daniel Kürsten, Florian Welle, Hans Ralf Schneider, Max Wawrzyniak, Daniel P O Kaiser, Gordian Prasse, Cindy Richter, Elias Kellner, Marco Reisert, Julian Klingbeil, Anika Stockert, Karl-Titus Hoffmann, Gerik Scheuermann, Christina Gillmann, and Dorothee Saur. Prediction of tissue and clinical thrombectomy outcome in acute ischaemic stroke using deep learning. In Masud Husain (Eds.), Brain, awaf013, January 2025. [PUMA: biomarker cdss cnn computer_vision deep_learning neuroimaging neurology nopdf topic_lifescience xack yaff] URL

Marie-Sophie von Braun, Kristin Starke, Lucas Peter, Daniel Kürsten, Florian Welle, Hans Ralf Schneider, Max Wawrzyniak, Daniel P O Kaiser, Gordian Prasse, Cindy Richter, Elias Kellner, Marco Reisert, Julian Klingbeil, Anika Stockert, Karl-Titus Hoffmann, Gerik Scheuermann, Christina Gillmann, and Dorothee Saur. Prediction of tissue and clinical thrombectomy outcome in acute ischaemic stroke using deep learning. In Masud Husain (Eds.), Brain, awaf013, January 2025. [PUMA: biomarker cdss cnn computer_vision deep_learning myown neuroimaging neurology topic_lifescience] URL

Dimitra Kiakou, Adam Adamopoulos, and Nico Scherf. Graph-Based Disease Prediction in Neuroimaging: Investigating the Impact of Feature Selection. Worldwide Congress on “Genetics, Geriatrics and Neurodegenerative Diseases Research", 223--230, 2022. [PUMA: topic_neuroinspired Disease Feature Graph-Based Impact Investigating Neuroimaging Prediction Selection learning]