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Dag Aarsland
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2020 – today
- 2024
- [j6]Gül Erdemli, Margarita Grammatikopoulou, Bertil Wagner, Srinivasan Vairavan, Jelena Curcic, Dag Aarsland, Gayle Wittenberg, Spiros Nikolopoulos, Marijn Muurling, Holger Fröhlich, Casper de Boer, Niraj M. Shanbhag, Vera J. M. Nies, Neva Coello, Dianne Gove, Ana Diaz, Suzanne Foy, Wim Dartee, Anna-Katharine Brem:
Regulatory considerations for developing remote measurement technologies for Alzheimer's disease research. npj Digit. Medicine 7(1) (2024) - 2023
- [j5]Marijn Muurling, Casper de Boer, Srinivasan Vairavan, Robbert L. Harms, Antonella Santuccione Chadha, Ioannis Tarnanas, Estefania Vilarino Luis, Dorota Religa, Martha Therese Gjestsen, Samantha Galluzzi, Marta Ibarria Sala, Ivan Koychev, Lucrezia Hausner, Mara Gkioka, Dag Aarsland, Pieter Jelle Visser, Anna-Katharine Brem:
Augmented reality versus standard tests to assess cognition and function in early Alzheimer's disease. npj Digit. Medicine 6 (2023) - 2022
- [j4]Amira Soliman, Jose Ramon Chang, Kobra Etminani, Stefan Byttner, Anette Davidsson, Begoña Martínez-Sanchis, Valle Camacho, Matteo Bauckneht, Roxana Stegeran, Marcus Ressner, Marc Agudelo-Cifuentes, Andrea Chincarini, Matthias Brendel, Axel Rominger, Rose Bruffaerts, Rik Vandenberghe, Milica G. Kramberger, Maja Trost, Nicolas Nicastro, Giovanni B. Frisoni, Afina W. Lemstra, Bart N. M. van Berckel, Andrea Pilotto, Alessandro Padovani, Silvia Morbelli, Dag Aarsland, Flavio Nobili, Valentina Garibotto, Miguel Ochoa Figueroa:
Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model. BMC Medical Informatics Decis. Mak. 22-S(6): 318 (2022) - [c2]Petter Minne, Alvaro Fernandez-Quilez, Dag Aarsland, Daniel Ferreira, Eric Westman, Afina W. Lemstra, Mara Ten Kate, Alessandro Padovani, Irene Rektorova, Laura Bonanni, Flavio Nobili, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Frédéric Blanc, Angelo Antonini, Ketil Oppedal:
A study on 3D classical versus GAN-based augmentation for MRI brain image to predict the diagnosis of dementia with Lewy bodies and Alzheimer's disease in a European multi-center study. Computer-Aided Diagnosis 2022
2010 – 2019
- 2019
- [i1]Gustav Mårtensson, Daniel Ferreira, Tobias Granberg, Lena Cavallin, Ketil Oppedal, Alessandro Padovani, Irena Rektorová, Laura Bonanni, Matteo Pardini, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Jaime Kulisevsky, Frédéric Blanc, Angelo Antonini, Patrizia Mecocci, Bruno Vellas, Magda Tsolaki, Iwona Kloszewska, Hilkka Soininen, Simon Lovestone, Andrew Simmons, Dag Aarsland, Eric Westman:
The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study. CoRR abs/1911.00515 (2019) - 2017
- [j3]Ketil Oppedal, Kjersti Engan, Trygve Eftestøl, Mona K. Beyer, Dag Aarsland:
Classifying Alzheimer's disease, Lewy body dementia, and normal controls using 3D texture analysis in magnetic resonance images. Biomed. Signal Process. Control. 33: 19-29 (2017) - 2015
- [j2]Ketil Oppedal, Trygve Eftestøl, Kjersti Engan, Mona K. Beyer, Dag Aarsland:
Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images. Int. J. Biomed. Imaging 2015: 572567:1-572567:14 (2015) - 2012
- [c1]Ketil Oppedal, Kjersti Engan, Dag Aarsland, Mona K. Beyer, Ole-Bjorn Tysnes, Trygve Eftestøl:
Using local binary pattern to classify dementia in MRI. ISBI 2012: 594-597
2000 – 2009
- 2009
- [j1]Turi O. Dalaker, Jan P. Larsen, Michael G. Dwyer, Dag Aarsland, Mona K. Beyer, Guido Alves, Kolbjørn Brønnick, Ole-Bjorn Tysnes, Robert Zivadinov:
White matter hyperintensities do not impact cognitive function in patients with newly diagnosed Parkinson's disease. NeuroImage 47(4): 2083-2089 (2009)
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last updated on 2024-12-10 21:47 CET by the dblp team
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