This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 964220. This website reflects only the author’s view and the Commission is not responsible for any use that may be made of the information it contains.
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AI-Mind publications 

 Peer-reviewed scientific publications have been an important part of the AI-Mind project, supporting the dissemination of research findings to the scientific community, healthcare professionals and other relevant stakeholders. Throughout the project, AI-Mind partners published research results in leading journals, contributing to advances in AI-supported dementia risk assessment and early diagnosis.

Advancing EEG prediction with deep learning and uncertainty estimation (opens in new window)

Author(s): Mats Tveter, Thomas Tveitstøl, Christoffer Hatlestad-Hall, Ana S. Pérez T., Erik Taubøll, Anis Yazidi, Hugo L. Hammer, Ira R. J. Hebold Haraldsen
Published inBrain Informatics, Issue 11, 2024, ISSN 2198-4018
Publisher: Springer Science and Business Media LLC
DOI: 10.1186/s40708-024-00239-6

DREAMS: A Python framework for training deep learning models on EEG data with model card reporting for medical applications (opens in new window)

Author(s): Rabindra Khadka, Pedro G. Lind, Anis Yazidi, Asma Belhadi
Published inSoftwareX, Issue 30, 2025, Page(s) 102140, ISSN 2352-7110
PublisherElsevier BV
DOI: 10.1016/j.softx.2025.102140

Health technology assessment framework for artificial intelligence-based technologies (opens in new window)

Author(s): Rossella Di Bidino, Signe Daugbjerg, Sara C. Papavero, Ira H. Haraldsen, Americo Cicchetti, Dario Sacchini
Published inInternational Journal of Technology Assessment in Health Care, Issue 40, 2024, ISSN 0266-4623
Publisher: Cambridge University Press
DOI: 10.1017/s0266462324000308

A systematic literature review of user trust in AI-enabled systems: an HCI perspective (opens in new window)

Author(s)Amna Khana, Tita Alissa Bach, Harry Hallockb, Gabriela Beltrão, and Sonia Sousa
Published inInternational Journal of Human–Computer Interaction, 2022, ISSN 1044-7318
Publisher: Lawrence Erlbaum Associates Inc.
DOI: 10.1080/10447318.2022.2138826

Challenges and Trends in User Trust Discourse in AI Popularity (opens in new window)

Author(s)Sonia Sousa , José Cravino and Paulo Martins
Published inMultimodal Technologies and Interactions, Issue vol 7, 2, 2023, Page(s) 13, ISSN 2414-4088
Publisher: MDPI
DOI: 10.3390/mti7020013

Assessing the robustness of deep learning based brain age prediction models across multiple EEG datasets (opens in new window)

Author(s): Thomas Tveitstøl, Mats Tveter, Christoffer Hatlestad-Hall, Hugo L. Hammer, Denis A. Engemann, Ira R.J. Hebold Haraldsen
Published inIEEE Transactions on Biomedical Engineering, 2025, Page(s) 1-23, ISSN 0018-9294
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tbme.2025.3639477

EEG electrodes and where to find them: automated localization from 3D scans (opens in new window)

Author(s)Mats Tveter, Thomas Tveitstøl, Tønnes Nygaard, Ana S Pérez T, Shrikanth Kulashekhar, Ricardo Bruña, Hugo L Hammer, Christoffer Hatlestad-Hall, Ira R J Hebold Haraldsen
Published inJournal of Neural Engineering, Issue 21, 2024, Page(s) 056022, ISSN 1741-2560
PublisherInstitute of Physics Publishing
DOI10.1088/1741-2552/ad7c7e

AI-Mind: Revolutionizing Personalized Neurology Through Automated Diagnostics and Advanced Data Management (opens in new window)

Author(s): Ira R. J. Hebold Haraldsen, Christoffer Hatlestad-Hall, Camillo Marra, Fernando Maestu, Hanna Renvall, Paolo Rossini
Published inDrug Repurposing, Issue 1, 2024, ISSN 2941-2528
PublisherScienceOpen
DOI: 10.58647/drugrepo.24.1.0005

Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models (opens in new window)

Author(s): Thomas Tveitstøl, Mats Tveter, Ana S. Pérez T., Christoffer Hatlestad-Hall, Anis Yazisi, Hugo L. Hammer, Ira R. J. Hebold Haraldsen
Published inFrontiers in Neuroinformatics, Issue Vol. 17, 2024, ISSN 1662-5196
PublisherFrontiers Research Foundation
DOI: 10.3389/fninf.2023.1272791

Bayesian reduced rank regression models generalizable neural fingerprints that differentiate between individuals in magnetoencephalography data (opens in new window)

Author(s): Joonas Haakana, Susanne Merz, Samuel Kaski, Hanna Renvall, Riitta Salmelin
Published inEuropean Journal of Neuroscience, Issue 59, 2024, Page(s) 2320-2335, ISSN 0953-816X
Publisher: Blackwell Publishing Inc.
DOI: 10.1111/ejn.16292

Evaluating dementia risk prediction in mild cognitive impairment: an early health technology assessment of the AI-Mind tool (opens in new window)

Author(s): Robin J. Vermeulen, Marcel G. M. Olde Rikkert, Ron Handels, Ira R. J. Hebold Haraldsen, Hanna Renvall, Paolo M. Rossini, Camillo Marra, Fernando Maestú, Maroeska M. Rovers, Tim M. Govers
Published in: GeroScience, 2026, ISSN 2509-2723
PublisherSpringer Science and Business Media LLC
DOI: 10.1007/s11357-025-02032-7

Enhanced visibility graph for EEG classification (opens in new window)

Author(s): Asma Belhadi, Pedro G. Lind, Youcef Djenouri, Anis Yazidi
Published in: Frontiers in Neuroscience, Issue 19, 2025, ISSN 1662-453X
Publisher: Frontiers Media SA
DOI10.3389/fnins.2025.1541062

Uncertainty in deep learning for EEG under dataset shifts (opens in new window)

Author(s): Mats Tveter, Thomas Tveitstøl, Christoffer Hatlestad-Hall, Hugo L. Hammer, Ira R.J. Hebold Haraldsen
Published in: Artificial Intelligence in Medicine, Issue 174, 2026, Page(s) 103374, ISSN 0933-3657
PublisherElsevier BV
DOI10.1016/j.artmed.2026.103374

Limited generalizability and high risk of bias in multivariable models predicting conversion risk from mild cognitive impairment to dementia: A systematic review (opens in new window)

Author(s)Robin Jeanna Vermeulen, Vebjørn Andersson, Jimmy Banken, Gerjon Hannink, Tim Martin Govers, Maroeska Mariet Rovers, Marcel Gerardus Maria Olde Rikkert
Published inAlzheimer’s & Dementia, Issue 21, 2025, ISSN 1552-5260
Publisher: Elsevier BV
DOI: 10.1002/alz.70069

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 (opens in new window)

Author(s)Ira H Haraldsen, Christoffer Hatlestad-Hall, Camillo Marra, Hanna Renvall, Fernando Maestú, Jorge Acosta-Hernández, Soraya Alfonsin, Vebjørn Andersson, Abhilash Anand, Victor Ayllón, Aleksandar Babic, Asma Belhadi, Cindy Birck, Ricardo Bruña, Naike Caraglia, Claudia Carrarini, Erik Christensen, Americo Cicchetti, Signe Daugbjerg, Rossella Di Bidino, Ana Diaz-Ponce, Ainar Drews, Guido Maria Gi
Published inFrontiers in Neurorobotics, Issue Vol. 17, 2024, ISSN 1662-5218
PublisherFrontiers Research Foundation
DOI: 10.3389/fnbot.2023.1289406

Early dementia diagnosis, MCI-to-dementia risk prediction, and the role of machine learning methods for feature extraction from integrated biomarkers, in particular for EEG signal analysis. (opens in new window)

Author(s): Prof. Paolo Maria Rossini, Fabrizio Vecchio, Francesca Miraglia
Published in: Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, Issue vol 18, 12, 2022, Page(s) 2699-2706, ISSN 1552-5279
Publisher: Wiley
DOI: 10.1002/alz.12645

Prognostic Information on Progression to Dementia: Quantification of the Impact on Quality of Life (opens in new window)

Author(s)Robin Jeanna Vermeulen, Bram Roudijk, Tim Martin Govers, Maroeska Mariet Rovers, Marcel Gerardus Maria Olde Rikkert, Ben Franciscus Martinus Wijnen
Published in: Journal of Alzheimer’s Disease, Issue 97, 2024, Page(s) 1829-1840, ISSN 1387-2877
Publisher: IOS Press
DOI: 10.3233/jad-231037

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The content presented on this website reflects the views of the authors only. The European Union is not liable for any use that may be made of the information contained therein. © The documents and materials listed on this website may only be used in accordance with the publishing license as indicated on the publisher’s website.  

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