Fields of study
Academic disciplines
Computer technology Forensic psychology Information and communication technology Communication and distributed systems Information and communication systems Information and communication science Gastroenterology Mathematics and natural scienses Simulation, visualisation, signal processing, image analysis Medical technology
Research projects
Ongoing research projects
-
Strengthening solidarity for democratic unity across border (SOLIDEM)
The SOLIDEM project focuses on the weakening of trust and solidarity in European welfare states, including Norway.
Completed research projects
-
Artificial intelligence - a novel tool in assisted reproduction technology
The project aims to improve the methods for selecting sperm and embryos and increase the chance of pregnancy and live-born children.
Publications and research
Scientific publications
Papachrysos, Nikolaos; Smedsrud, Pia Helen; Ånonsen, Kim Vidar; Berstad, Tor Jan; Espeland, Håvard; Petlund, Andreas; Hedenström, Per;
Halvorsen, Pål
; Varkey, Jonas;
Hammer, Hugo Lewi
;
Riegler, Michael Alexander
; de Lange, Thomas
(2025).
A comparative study benchmarking colon polyp with computer-aided detection (CADe) software.
DEN Open.
https://doi.org/10.1002/deo2.70061
Lien, Le; Nguyen, Thu;
Riegler, Michael Alexander
;
Halvorsen, Pål
; Nguyen, Binh
(2025).
Multimodal missing data in healthcare: A comprehensive review and future directions.
Computer Science Review.
Vol. 56.
https://doi.org/10.1016/j.cosrev.2024.100720
Salehi, Pegah; Sheshkal, Sajad Amouei; Thambawita, Vajira L B;
Gautam, Sushant
; Shafiee Sabet, Saeed; Johansen, Dag;
Riegler, Michael Alexander
;
Halvorsen, Pål
(2025).
Comparative Analysis of Audio Feature Extraction for Real-Time Talking Portrait Synthesis.
Big Data and Cognitive Computing.
Vol. 9.
https://doi.org/10.3390/bdcc9030059
Chatterjee, Ayan;
Riegler, Michael Alexander
; Ganesh, K.;
Halvorsen, Pål
(2025).
Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer.
Scientific Reports.
Vol. 15.
https://doi.org/10.1038/s41598-025-87510-w
Jha, Debesh; Sharma, Vanshali; Banik, Debapriya; Bhattacharya, Debayan; Roy, Kaushiki; Hicks, Steven; Tomar, Nikhil Kumar; Thambawita, Vajira L B; Krenzer, Adrian; Ji, Ge-Peng; Poudel, Sahadev; Batchkala, George; Alam, Saruar; Ahmed, Awadelrahman M.A.; Trinh, Quoc-Huy; Khan, Zeshan; Nguyen, Tien-Phat; Shrestha, Shruti; Nathan, Sabari; Gwak, Jeonghwan Gwak; Jha, Ritika Kumari; Zhang, Zheyuan; Schlaefer, Alexander; Bhattacharjee, Debotosh; Bhuyan, M.K.; Das, Pradip K.; Fan, Deng-Ping; Parasa, Sravanthi; Ali, Sharib;
Riegler, Michael Alexander
;
Halvorsen, Pål
; de Lange, Thomas; Bagci, Ulas
(2025).
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges.
Medical Image Analysis.
Vol. 99.
https://doi.org/10.1016/j.media.2024.103307
Boeker, Matthias; Swarbrick, Dana; Côté-Allard, Ulysse;
Riegler, Michael
;
Halvorsen, Pål
;
Hammer, Hugo Lewi
(2024).
Predictive Modelling of Muscle Fatigue in Climbing.
Lienhart, Rainer; Moeslund, Thomas B.; Saito, Hideo (Ed.).
MMSports '24: Proceedings of the 7th ACM International Workshop on Multimedia Content Analysis in Sports.
ACM Digital Library.
https://doi.org/10.1145/3689061.368906
Sheshkal, Sajad Amouei; Gundersen, Morten Pensgård;
Riegler, Michael
; Utheim, Øygunn Aass; Gunnar Gundersen, Kjell; Rootwelt, Helge; Elgstøen, Katja B. Prestø;
Hammer, Hugo Lewi
(2024).
Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data.
Diagnostics (Basel).
Vol. 14.
https://doi.org/10.3390/diagnostics14232696
Storås, Andrea; Mæland, Steffen; Isaksen, Jonas L; Hicks, Steven Alexander; Thambawita, Vajira L B; Graff, Claus;
Hammer, Hugo Lewi
;
Halvorsen, Pål
;
Riegler, Michael Alexander
; Kanters, Jørgen K
(2024).
Evaluating gradient-based explanation methods for neural network ECG analysis using heatmaps.
9 p.
JAMIA Journal of the American Medical Informatics Association.
Vol. 32.
https://doi.org/10.1093/jamia/ocae280
Vo, Minh-Quan; Nguyen, Thu;
Riegler, Michael
;
Hammer, Hugo Lewi
(2024).
Efficient Estimation of Generative Models Using Tukey Depth.
16 p.
Algorithms.
Vol. 17.
https://doi.org/10.3390/a17030120
Svennevik, Hanna; Hicks, Steven;
Riegler, Michael
; Storelvmo, Trude;
Hammer, Hugo Lewi
(2024).
A dataset for predicting cloud cover over Europe.
Scientific Data.
Vol. 11.
https://doi.org/10.1038/s41597-024-03062-0
