Thomas Tveitstøl

  • PhD student; M.Sc.
Thomas is a phd student working in the EU-project AI-Mind.
 
He has a masters degree from the Norwegian University of Science and Technology in f Physics and Mathematics, with specialisation in Biophysics and Medical Technology.
His work in the AI-Mind project will focus on source reconstruction and deep learning approaches to EEG data
 

Publications 2026

Gemein LAW, Gaubert S, Paquet C, Paillard J, Holst SC, Tveitstøl T, Haraldsen IRJH, Kam-Thong T, Hawellek DJ, Hipp JF, Engemann DA (2026)
Clinically altered brain activity may not look like aged brain activity: Implications for brain-age modeling and biomarker strategies
Alzheimers Dement (N Y), 12 (3), e70302
DOI 10.1002/trc2.70302, PubMed 42688976

Perez A, Hammer HL, Andersson V, Saarinen T, Alfonsín S, Giuffrè GM, Caraglia N, Martellacci N, Ramírez-Toraño F, Tveitstøl T, Kinnunen A, Liljeström M, Hotta J, Koivisto AM, Quaranta D, Quijano-Rubio C, Kollmorgen G, Zetterberg H, Christensen E, Renvall H, Marra C, Maestú F, Rossini PM, Hatlestad-Hall C, Haraldsen IH (2026)
Cognitive components derived from traditional neuropsychological tests and their associations with plasma p-tau217 and p-tau181 in mild cognitive impairment: a multisite analysis
Geroscience (in press)
DOI 10.1007/s11357-026-02466-7, PubMed 42584831

Tveitstol T, Tveter M, Hatlestad-Hall C, Hammer HL, Engemann DA, Haraldsen IRJH (2026)
Assessing the Robustness of Deep Learning Based Brain Age Prediction Models Across Multiple EEG Datasets
IEEE Trans Biomed Eng, 73 (7), 2582-2601
DOI 10.1109/TBME.2025.3639477, PubMed 41329579

Tveter M, Tveitstøl T, Hatlestad-Hall C, Hammer HL, Haraldsen IRJH (2026)
Uncertainty in deep learning for EEG under dataset shifts
Artif Intell Med, 174, 103374
DOI 10.1016/j.artmed.2026.103374, PubMed 41650580

Publications 2024

Haraldsen IH, Hatlestad-Hall C, Marra C, Renvall H, Maestú F, Acosta-Hernández J, Alfonsin S, Andersson V, Anand A, Ayllón V, Babic A, Belhadi A, Birck C, Bruña R, Caraglia N, Carrarini C, Christensen E, Cicchetti A, Daugbjerg S, Di Bidino R, Diaz-Ponce A, Drews A, Giuffrè GM, Georges J, Gil-Gregorio P, Gove D, Govers TM, Hallock H, Hietanen M, Holmen L et al. (2024)
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
Front Neurorobot, 17, 1289406
DOI 10.3389/fnbot.2023.1289406, PubMed 38250599

Tveitstøl T, Tveter M, Pérez T AS, Hatlestad-Hall C, Yazidi A, Hammer HL, Hebold Haraldsen IRJ (2024)
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models
Front Neuroinform, 17, 1272791
DOI 10.3389/fninf.2023.1272791, PubMed 38351907

Tveter M, Tveitstøl T, Hatlestad-Hall C, Pérez T AS, Taubøll E, Yazidi A, Hammer HL, Haraldsen IRJH (2024)
Advancing EEG prediction with deep learning and uncertainty estimation
Brain Inform, 11 (1), 27
DOI 10.1186/s40708-024-00239-6, PubMed 39461914

Tveter M, Tveitstøl T, Nygaard T, Pérez T AS, Kulashekhar S, Bruña R, Hammer HL, Hatlestad-Hall C, Hebold Haraldsen IRJ (2024)
EEG electrodes and where to find them: automated localization from 3D scans
J Neural Eng, 21 (5)
DOI 10.1088/1741-2552/ad7c7e, PubMed 39293479