Dag Aarsland

According to our database, Dag Aarsland authored at least 9 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Regulatory considerations for developing remote measurement technologies for Alzheimer's disease research.

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

npj Digit. Medicine, 2024

2023

Augmented reality versus standard tests to assess cognition and function in early Alzheimer's disease.

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

npj Digit. Medicine, 2023

2022

Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model.

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

BMC Medical Informatics Decis. Mak., November, 2022

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.

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

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2019

The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study.

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

CoRR, 2019

2017

Classifying Alzheimer's disease, Lewy body dementia, and normal controls using 3D texture analysis in magnetic resonance images.

Ketil Oppedal, Kjersti Engan, Trygve Eftestøl, Mona K. Beyer, Dag Aarsland

Biomed. Signal Process. Control., 2017

2015

Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images.

Ketil Oppedal, Trygve Eftestøl, Kjersti Engan, Mona K. Beyer, Dag Aarsland

Int. J. Biomed. Imaging, 2015

2012

Using local binary pattern to classify dementia in MRI.

Ketil Oppedal, Kjersti Engan, Dag Aarsland, Mona K. Beyer, Ole-Bjorn Tysnes, Trygve Eftestøl

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2009

White matter hyperintensities do not impact cognitive function in patients with newly diagnosed Parkinson's disease.

Turi O. Dalaker, Jan P. Larsen, Michael G. Dwyer, Dag Aarsland, Mona K. Beyer, Guido Alves, Kolbjørn Brønnick, Ole-Bjorn Tysnes, Robert Zivadinov

NeuroImage, 2009