Browsing TKD - Institutt for informasjonsteknologi by Author "Haraldsen, Ira Hebold"
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Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: the AI-Mind clinical study protocol
Haraldsen, Ira Hebold; Hatlestad-Hall, Christoffer; Marra, Camillo; Renvall, Hanna; Maestú, Fernando; Acosta-Hernández, Jorge; Alfonsin, Soraya; Andersson, Vebjørn; Anand, Abhilash; Ayllón, Victor; Babic, Aleksandar; Belhadi, Asma; Birck, Cindy; Bruña, Ricardo; Caraglia, Naike; Carrarini, Claudia; Christensen, Erik; Cicchetti, Americo; Daugbjerg, Signe; Di Bidino, Rossella; Diaz-Ponce, Ana; Drews, Ainar; Giuffrè, Guido Maria; Georges, Jean; Gil-Gregorio, Pedro; Gove, Dianne; Govers, Tim M.; Hallock, Harry; Hietanen, Marja; Holmen, Lone; Hotta, Jaakko; Kaski, Samuel; Khadka, Rabindra; Kinnunen, Antti S.; Koivisto, Anne M.; Kulashekhar, Shrikanth; Larsen, Denis; Liljeström, Mia; Lind, Pedro; Marcos Dolado, Alberto; Marshall, Serena; Merz, Susanne; Miraglia, Francesca; Montonen, Juha; Mäntynen, Ville; Øksengård, Anne Rita; Olazarán, Javier; Paajanen, Teemu; Peña, José M.; Peña, Luis; Peniche, Daniel lrabien; Sanz Perez, Ana; Radwan, Mohamed; Ramírez-Toraño, Federico; Rodríguez-Pedrero, Andrea; Saarinen, Timo; Salas-Carrillo, Mario; Salmelin, Riitta; Sousa, Sonia; Suyuthi, Abdillah; Toft, Mathias; Toharia, Pablo; Tveitstøl, Thomas; Tveter, Mats; Upreti, Ramesh; Vermeulen, Robin J.; Vecchio, Fabrizio; Yazidi, Anis; Rossini, Paolo Maria (Peer reviewed; Journal article, 2023)More than 10 million Europeans show signs of mild cognitive impairment (MCI), a transitional stage between normal brain aging and dementia stage memory disorder. The path MCI takes can be divergent; while some maintain ... -
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models
Tveitstøl, Thomas; Tveter, Mats; Pérez Teseyra, Ana Silvina; Hatlestad-Hall, Christoffer; Yazidi, Anis; Hammer, Hugo Lewi; Haraldsen, Ira Hebold (Peer reviewed; Journal article, 2023)Introduction: A challenge when applying an artificial intelligence (AI) deep learning (DL) approach to novel electroencephalography (EEG) data, is the DL architecture’s lack of adaptability to changing numbers of EEG ...