Fagfelt
Kunstig intelligens Maskinlæring
Forskningsgrupper
Forskningsprosjekter
Avsluttede forskningsprosjekter
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Kunstig intelligens - et nytt verktøy innen assistert reproduksjonsteknologi
Prosjektet har som mål å forbedre metodene for å velge ut sædceller og embryo, og dermed øke sjansen for graviditet og levendefødte barn.
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Styrke solidaritet for demokratisk enhet på tvers av grenser (SOLIDEM)
Prosjektet fokuserer på svekkende tillit og solidaritet i europeiske velferdsstater, inkludert Norge.
Publikasjoner og forskningsresultater
Vitenskapelige publikasjoner
Borgli, Hanna;
Riegler, Michael
; Stensland, Håkon Kvale;
Halvorsen, Pål
(2026).
Map2VidSeg Revisited: A controlled-upgrade study of classifier-derived prompts for medical video segmentation.
Artificial Intelligence in Medicine.
Vol. 183.
https://doi.org/10.1016/j.artmed.2026.103558
Presacan, Oriana; Nik, Alireza Hossein Zadeh; Ojha, Jaya; Thambawita, Vajira L B; Ionescu, Bogdan;
Riegler, Michael Alexander
(2026).
When silence is safer: a review and decision-theoretic framework for LLM abstention in healthcare.
npj Digital Medicine.
Vol. 9.
https://doi.org/10.1038/s41746-026-02882-1
Vo, Tuan L.; Nguyen, Thu; Ramos, Luis Miguel Lopez;
Hammer, Hugo Lewi
;
Riegler, Michael Alexander
;
Halvorsen, Pål
(2026).
Explainability of machine learning models under missing data.
Applied Soft Computing.
Vol. 196.
https://doi.org/10.1016/j.asoc.2026.115105
Mørch-Pedersen, Marie; Nørregaard, Malene; Graff, Claus; Vad, Oliver B.; Lundegaard, Pia R.; Svendsen, Jesper Hastrup; Hansen, Torben; Linneberg, Allan; Jørgensen, Peter G.; Jensen, Magnus T.; Rossing, Peter; Ellervik, Christina; Linz, Dominik; Thambawita, Vajira L B; Maleckar, Mary Margot Catherine;
Riegler, Michael Alexander
; Kanters, Jørgen K.; Isaksen, Jonas L.
(2026).
Pooling cohorts for deep learning analysis: a potential source of bias for electrocardiogram analysis.
Biomedical Signal Processing and Control.
Vol. 122.
https://doi.org/10.1016/j.bspc.2026.110424
Torpmann-Hagen, Birk;
Halvorsen, Pål
;
Riegler, Michael
; Johansen, Dag
(2026).
Probabilistic Runtime Verification, Evaluation, and Risk Assessment of Visual Deep Learning Systems.
ACM Transactions on Intelligent Systems and Technology (TIST).
Vol. 17.
https://doi.org/10.1145/3795523
Stummer, Florian O.; Tsai, Timothy; Wikberg, Carl; Nymberg, Veronica Milos; Radlgruber, Ilja; Müller, Angelina;
Riegler, Michael Alexander
; Petrazzuoli, Ferdinando; Vinker, Shlomo; Frese, Thomas
(2026).
Misaligned by design: evaluating and deploying generative AI for the real-world conditions of primary care: a Nordic and European perspective.
Scandinavian Journal of Primary Health Care.
Vol. 44.
https://doi.org/10.1080/02813432.2026.2735209
Kakulavarapu, Radhika;
Delbarre, Erwan
; Sharma, Akriti;
Jahanlu, David
;
Riegler, Michael Alexander
;
Haugen, Trine B.
; Iliceto, Mario; Stensen, Mette Haug
(2026).
Investigating discrepancies in accuracy, agreement and interpretability for single-frame embryo classification tasks conducted by embryologists and deep learning models.
Frontiers in Reproductive Health.
Vol. 8.
https://doi.org/10.3389/frph.2026.1778326
Boeker, Matthias; Alexandersen, Andreas; Thambawita, Vajira; Midoglu, Cise; Johansen, Dag;
Riegler, Michael
;
Halvorsen, Pål
(2026).
REST, Exploring Sleep Patterns and Influencing Factors in Elite Female Football Athletes.
Scientific Data.
Vol. 13.
https://doi.org/10.1038/s41597-025-06331-8
Mondal, Ayan; Chatterjee, Ayan;
Riegler, Michael
(2026).
Gastrointestinal image classification with GIDNet CNN model and non-linear Tansh activation function.
Computers in Biology and Medicine.
Vol. 204.
https://doi.org/10.1016/j.compbiomed.2026.111500
P., Le, Lien; Xuan-Hien, Nguyen, Thi; Nguyen, Thu;
Riegler, Michael
;
Halvorsen, Pål
; T., Nguyen, Binh
(2026).
Data Imputation for Noisy Time-Series Data in Healthcare.
Nguyen, Ngoc Thanh; Anh, Vu Dinh Duc; Kozierkiewic, Adrianna; Van, Sinh Nguyen; Núñez, Manuel; Treur, Jan (Red.).
Computational Collective Intelligence: 17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12–15, 2025, Proceedings, Part II | SpringerLink.
Springer.
https://doi.org/10.1007/978-3-032-09321-9_15