English version
Michael Alexander Riegler

Michael Alexander Riegler

Forskningsprosjekter

Avsluttede forskningsprosjekter

Vitenskapelige publikasjoner

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

Sarkhoosh, Mehdi Houshmand; Gautam, Sushant; Midoglu, Cise; Nguyen, Thu; Held, Jan; Cioppa, Anthony; Giancola, Silvio; Thambawita, Vajira; Riegler, Michael ; Halvorsen, Pål (2025). Beyond Audio: Enhancing SoccerNet-Echoes with Multimodal Event Extraction Using LLMs. International Journal of Semantic Computing (IJSC). Vol. 19.
https://doi.org/10.1142/s1793351x25450035

Salehi, Pegah; Sheshkal, Sajad Amouei; Thambawita, Vajira; Riegler, Michael ; Halvorsen, Pål (2025). Multimodal Integration Challenges in Emotionally Expressive Child Avatars for Training Applications. Nordic Machine Intelligence (NMI). Vol. 5.
https://doi.org/10.5617/nmi.12537

Hammer, Hugo Lewi ; Thambawita, Vajira; Riegler, Michael (2025). Reply: Foundation models in IVF: from speculation to implementation with FEMI. Human Reproduction. Vol. 41.
https://doi.org/10.1093/humrep/deaf227

Riegler, Michael ; Hellton, Kristoffer Herland ; Thambawita, Vajira L B; Hammer, Hugo Lewi (2025). Using large language models to suggest informative prior distributions in Bayesian regression analysis. Scientific Reports. Vol. 15.
https://doi.org/10.1038/s41598-025-18425-9

Presacan, Oriana; Mesa, María Hernández; Aldea, Alexandru C.; Andresen, Siri; Outa, Amani al; Johannessen, Julie Aarmo; Ionescu, Bogdan; Knævelsrud, Helene; Riegler, Michael (2025). Explainable AI to unveil cellular autophagy dynamics. PLOS ONE. Vol. 20.
https://doi.org/10.1371/journal.pone.0331045

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

Hammer, Hugo Lewi ; Thambawita, Vajira; Riegler, Michael (2025). Foundation models: the next level of AI in ART. Human Reproduction. Vol. 40.
https://doi.org/10.1093/humrep/deaf136

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

Gautam, Sushant; Thambawita, Vajira L B; Riegler, Michael Alexander ; Halvorsen, Pål ; Hicks, Steven (2025). Overview of ImageCLEFmedical 2025 – Visual Question Answering and Synthetic Image Generation for Gastrointestinal Tract. CEUR Workshop Proceedings. Vol. 4038.
https://doi.org/https://ceur-ws.org/Vol-4038/





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

Forskningsrapporter

Hammer, Hugo Lewi ; Riegler, Michael Alexander ; Delbarre, Erwan ; Stensen, Mette Haug; Sharma, Akriti (2025). Application of Artificial Intelligence in Assisted Reproductive Technology. ISBN: 9788283646696. 243 s. OsloMet - storbyuniversitetet.
https://hdl.handle.net/11250/4963767

Nguyen, Duc Tien Dang; Riegler, Michael (2018). GameStory Task at MediaEval 2018. 3 s. CEUR Workshop Proceedings.
https://hdl.handle.net/11250/3366725

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.
https://hdl.handle.net/11250/4965311



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

Formidling

Halnes, Geir; Javaid, Anam; Solvang, Michael; Nichele, Stefano; Riegler, Michael ; Singstad, Bjørn-Jostein; Beferull-Lozano, Baltasar; Moreno, Emilio Ruiz; Lopez-Ramos, Luis M.; Khalife, Mehrzad Abdi; Ramstad, Ola Huse; Issa, Hamze; Surko, Arina; Sandvig, Axel; Ogul, Hasan; Fantin, Daniele; Sandvig, Ioanna; Vibe, Christopher; Visoka, Kushtrim; HoushmandSarkhoosh, Mehdi; Leyos, Aaron de; Umu, Sinan Ugur; Johannsen, Klaus; Indrehus, Kjetil; McMillan, Malcom; Kropiunig, Julia; Marinelli, Ryan Anthony; Machot, Fadi Al; Tai, Xue-Cheng; Gasparini, Andrea Alessandro; Parkes, David; Sari, Semra Oztemel; Fonnes, Gro; Midoglu, Cise; Tkachenko, Anton; Bashir, Maria; Lyng, Kari-Anne Kallerud; Demrozi, Florenc; Briggs, Kate; You, Junyong; Riemer-Sørensen, Signe; Adolphi, Benjamin Daniel; Horsch, Martin Thomas; Subramaniam, Arangan; Hallac, Ibrahim Riza; Plataniti, Lina; Liu, Hao; Lepperød, Mikkel Elle; Choi, Changkyu; Castberg, Preben; Qassi, Abdelaziz; Chan, Raymond H.; Stein, Anja; Preisig, Heinz Adolf; Stasik, Alexander Johannes; Sabet, Saeed Shafiee; Handegard, Nils Olav; Jenssen, Robert; Sæbø, Solve; Rubach, Synnøve; Netto, Waldir Leoncio; Pandey, Pankaj; Wuite, Jan; Shakeri, Arezo; Singh, Shailendra; Ramezani-Kebrya, Ali; Halvorsen, Pål ; Leslie, David S.; Iervasi, Matteo; Stokke, Mathis Korseberg; Kupka, Tomas; Li, Lingfeng; Fredriksen, Helge; Mirbagheri, Shakiba Sadat; Ramezanikebrya, Ali; Hay, Jacob Alexander; Djupskås, Aslak; FNorwayarmanbar, Mina; Sartori, Claudio; Reimers, Felix Simon; Nagler, Thomas; Leeson, Amber (2025). Proceedings of NORA’s annual conference 2025. Nordic Machine Intelligence (NMI). Vol. 5.
https://doi.org/10.5617/nmi.12551

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

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.
https://hdl.handle.net/11250/4816828

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

Riegler, Michael (2023). KI og kunstig befruktning.
https://hdl.handle.net/11250/4600436

Riegler, Michael ; Lison, Pierre; Falkum, Ingrid Lossius (2023). Kunstig intelligens-modeller er ikke miniatyr­versjoner av den menneskelige hjernen.
https://hdl.handle.net/11250/4150734

Riegler, Michael (2023). Sperm-tracking, use of a human sperm dataset. Workshop in Spermatology. OsloMet.
https://hdl.handle.net/11250/3233627

Riegler, Michael (2023). Automatic Tracking of the ICSI procedure using Deep Learning. Workshop in Spermatology. OsloMet.
https://hdl.handle.net/11250/4571063

Riegler, Michael Alexander ; Reinertsen, Hilde; Sareen, Siddharth (2023). Hvordan vil kunstig intelligens forme verden de neste ti årene?.
https://hdl.handle.net/11250/4119017





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