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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

Chatterjee, Ayan; Riegler, Michael ; Halvorsen, Pål (2025). Designing an ethical and explainable automatic coaching (eCoach) system for community based, persuasive recommendations. Multimedia Tools and Applications.
https://doi.org/10.1007/s11042-025-21116-2

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

Presacan, Oriana; Dorobanţiu, Alexandru; Isaksen, Jonas L.; Willi, Tobias; Graff, Claus; Riegler, Michael Alexander ; Sridhar, Arun R.; Kanters, Jørgen K.; Thambawita, Vajira L B (2025). Evaluating the feasibility of 12-lead electrocardiogram reconstruction from limited leads using deep learning. Communications Medicine. Vol. 5.
https://doi.org/10.1038/s43856-025-00814-w

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



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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.

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

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.



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

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.

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.

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

Riegler, Michael (2023). Sperm-tracking, use of a human sperm dataset. Workshop in Spermatology. OsloMet.

Riegler, Michael (2023). Automatic Tracking of the ICSI procedure using Deep Learning. Workshop in Spermatology. OsloMet.

Riegler, Michael Alexander ; Reinertsen, Hilde; Sareen, Siddharth (2023). Hvordan vil kunstig intelligens forme verden de neste ti årene?.

Habault, Guillaume; Dao, Minh-Son; Riegler, Michael ; Nguyen, Duc Tien Dang; Nakashima, Yuta; Gurrin, Cathal (2023). ICDAR’23: Intelligent Cross-Data Analysis and Retrieval. Habault, Guillaume; Dao, Minh-Son; Riegler, Michael; Nguyen, Duc Tien Dang; Nakashima, Yuta; Gurrin, Cathal (Red.). ICDAR’23: Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval. s. 674-675. Association for Computing Machinery (ACM).
https://doi.org/10.1145/3591106.3592302



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