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 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 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

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