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Ansatteoversikt
Michael Alexander Riegler

Michael Alexander Riegler

Stillingstittel
  • professor
Besøksadresse
  • Pilestredet 52, 0167 Oslo
Telefon
  • Mobil: +47 401 06 386
  • Kontor: +47 672 36 943
E-post
  • michael.riegler@oslomet.no
Tilhørighet

Forskningsgrupper

Forskningsprosjekter

Aktive forskningsprosjekter

Avsluttede forskningsprosjekter

Publikasjoner og forskningsresultater

Vitenskapelige publikasjoner

Vikan, Magnhild ; Aryan, Ramtin ; Kannelønning, Mari Serine ; Riegler, Michael ; Danielsen, Stein Ove (2025). Reflecting on LLM Support in Reflexive Thematic Analysis: An Exploratory Study. Qualitative Health Research.
https://doi.org/10.1177/10497323251365211

Duric, Adrian; Tørresen, Jim; Riegler, Michael ; Hammer, Hugo Lewi (2025). Explanation Supported Learning: Improving Prediction Performance with Explainable Artificial Intelligence. IEEE International Symposium on Computer-Based Medical Systems.
https://doi.org/10.1109/CBMS65348.2025.00125

Chen, Shuwen; Fan, Shicheng; Qiao, Zheng; Wu, Zixiong; Lin, BaoBao; Li, Zhijie; Riegler, Michael Alexander ; Wong, Matthew Yu Heng; Opheim, Arve Isak; Korostynska, Olga ; Nielsen, Kaare Magne ; Glott, Thomas; Martinsen, Anne Catrine Trægde ; Telle-Hansen, Vibeke ; Lim, Chwee Tech (2025). Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence. Advanced Materials.
https://doi.org/10.1002/adma.202500412

Salehi, Pegah; Sheshkal, Sajad Amouei; Thambawita, Vajira L B; Gautam, Sushant; Sabet, Saeed Shafiee; 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

Torpmann-Hagen, Birk Sebastian Frostelid; Riegler, Michael Alexander ; Halvorsen, Pål ; Johansen, Dag (2025). Runtime Verification for Visual Deep Learning Systems With Loss Prediction. IEEE Access. Vol. 13.
https://doi.org/10.1109/ACCESS.2025.3552157

Presacan, Oriana; Dorobanţiu, Alexandru; Thambawita, Vajira L B; Riegler, Michael Alexander ; Stensen, Mette Haug; Iliceto, Mario; Aldea, Alexandru; Sharma, Akriti (2025). Merging synthetic and real embryo data for advanced AI predictions. Scientific Reports. Vol. 15.
https://doi.org/10.1038/s41598-025-94680-0

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 ; Lange, Thomas de; 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

Chatterjee, Ayan; Thambawita, Vajira L B; Riegler, Michael ; Halvorsen, Pål (2025). Supervised Anomaly Detection in Univariate Time-Series Using 1D Convolutional Siamese Networks. IEEE Access. Vol. 13.
https://doi.org/10.1109/ACCESS.2025.3561375

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

Garcia-Ceja, Enrique; Stautland, Andrea; Riegler, Michael ; Halvorsen, Pål ; Hinojosa, Salvador; Ochoa-Ruiz, Gilberto; Berle, Jan Øystein; Førland, Wenche; Mjeldheim, Kristin; Ødegaard, Ketil Joachim; Jakobsen, Petter (2025). OBF-Psychiatric, a motor activity dataset of patients diagnosed with major depression, schizophrenia, and ADHD. Scientific Data. Vol. 12.
https://doi.org/10.1038/s41597-025-04384-3



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Forskningsrapporter

Hammer, Hugo Lewi ; Riegler, Michael Alexander ; Delbarre, Erwan ; Stensen, Mette Haug; Sharma, Akriti (2025). Application of Artificial Intelligence in Assisted Reproductive Technology. OsloMet - storbyuniversitetet.

Thambawita, Vajira; Jha, Debesh; Riegler, Michael ; Halvorsen, Pål ; Hammer, Hugo Lewi ; Johansen, Håvard D.; Johansen, Dag (2018). The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning. 3 s. MediaEval 2018, arXiv:1810.13278, Cornell University.

Nguyen, Duc Tien Dang; Riegler, Michael (2018). GameStory Task at MediaEval 2018. 3 s. CEUR Workshop Proceedings.



Publikasjonslisten er hentet ut av Nasjonalt vitenarkiv (NVA). Listen kan være ufullstendig.

Formidling

Chatterjee, Ayan; Riegler, Michael ; Johnson, Miriam S. ; Das, Jishnu; Pahari, Nibedita; Ramachandra, Raghavendra; Ghosh, Bikramaditya; Saha, Arpan; Bajpai, Ram (2025). Erratum: Author Correction: Exploring online public survey lifestyle datasets with statistical analysis, machine learning and semantic ontology (Scientific reports (2024) 14 1 DOI: 10.1038/s41598-024-74539-6.). Scientific Reports. Vol. 15.
https://doi.org/10.1038/s41598-025-86904-0

Nassehi, Damoun; Riegler, Michael (2024). Kritisk veiskille for integrering av kunstig intelligens. Vol. 144.
https://doi.org/10.4045/tidsskr.24.0445

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 ; Lange, Thomas de (2024). A comparative study benchmarking colon polyp detection with CADe software. Endoscopy. Vol. S02.
https://doi.org/10.1055/s-0044-1782889

Mikkola, Marja; Desmet, Karolien; Kommisrud, Elisabeth; Riegler, Michael (2024). Recent advancements and trends in Assisted Reproductive Technologies (ART) to increase success of artificial insemination and embryo transfer programs – the European perspective. 2024 SBTE Annual meeting. Bracilian Society of Embryo Technology.

Riegler, Michael (2023). KI og kunstig befruktning.

Riegler, Michael ; Lison, Pierre; Falkum, Ingrid Lossius (2023). Kunstig intelligens-modeller er ikke miniatyr­versjoner av den menneskelige hjernen.

Thambawita, Vajira L B; Storås, Andrea; Huynh, Tuan-Luc; Nguyen, Hai-Dang; Tran, Minh-Triet; Le, Trung-Nghia; Halvorsen, Pål ; Riegler, Michael ; Hicks, Steven; Tran, Thien-Phuc (2023). Medico Multimedia Task at MediaEval 2023: Transparent Tracking of Spermatozoa. MediaEval 2023 Multimedia Benchmark Workshop 2023.

Chatterjee, Ayan; Pahari, Nibedita; Prinz, Andreas; Riegler, Michael (2023). Author Correction: Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation (Scientific Reports, (2022), 12, 1, (19825), 10.1038/s41598-022-24118-4). Scientific Reports. Vol. 13.
https://doi.org/10.1038/s41598-023-30029-9

Storås, Andrea; Fineide, Fredrik; Hammer, Hugo Lewi ; Khan, Ayyad Ahmad Zartasht; Magnø, Morten Schjerven; Chen, Xiangjun; Halvorsen, Pål ; Utheim, Tor Paaske ; Riegler, Michael Alexander (2023). Using explainable artificial intelligence (XAI) to explore factors affecting meibomian gland (MG) dropout. Investigative Ophthalmology and Visual Science.

Fineide, Fredrik; Storås, Andrea; Magnø, Morten Schjerven; Hammer, Hugo Lewi ; Chen, Xiangjun; Khan, Ayyad Ahmad Zartasht; Halvorsen, Pål ; Utheim, Tor Paaske ; Riegler, Michael Alexander (2023). Predicting the degree of meibomian gland dropout with artificial intelligence. Investigative Ophthalmology and Visual Science.



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