Forskningsgrupper
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.
Publikasjoner og forskningsresultater
Vitenskapelige publikasjoner
Monakhov, Vladimir; Thambawita, Vajira L B; Halvorsen, Pål; Riegler, Michael
(2023).
GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos.
Sensors.
Vol. 23:2087.
https://doi.org/10.3390/s23042087
Riegler, Michael Alexander; Thambawita, Vajira; Chatterjee, Ayan; Nguyen, Thu; Hicks, Steven; Telle-Hansen, Vibeke; Pettersen, Svein Arne; Johansen, Dag; Jain, Ramesh; Halvorsen, Pål
(2023).
ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset.
Dang-Nguyen, Duc-Tien (Red.).
MultiMedia Modeling.
Springer.
https://doi.org/10.1007/978-3-031-27077-2_39
Storås, Andrea; Riegler, Michael Alexander; Haugen, Trine B.; Thambawita, Vajira L B; Hicks, Steven; Hammer, Hugo Lewi; Kakulavarapu, Radhika; Halvorsen, Pål; Stensen, Mette Haug
(2023).
Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure.
Zouganeli, Evi; Yazidi, Anis; Mello, Gustavo Borges Moreno E; Lind, Pedro (Red.).
Nordic Artificial Intelligence Research and Development: 4th Symposium of the Norwegian AI Society, NAIS 2022, Oslo, Norway, May 31-June 1, 2022, Revised Selected Papers.
Springer Nature.
https://doi.org/10.1007/978-3-031-17030-0_9
Thunold, Håvard Horgen; Riegler, Michael; Yazidi, Anis; Hammer, Hugo Lewi (2023). A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering. Diagnostics (Basel).
Sharma, Akriti; Ansari, Ayaz Z.; Kakulavarapu, Radhika; Stensen, Mette Haug; Riegler, Michael; Hammer, Hugo Lewi
(2023).
Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos.
21 s.
Big Data and Cognitive Computing.
Vol. 7.
https://doi.org/10.3390/bdcc7020091
Berg, Arild Skarsfjord; Johansen, Safora; Lund, Anne; Riegler, Michael; Andersen, Jorunn Marie
(2023).
A Salutogenic Approach for Collaboration in Health and Technology.
Garg, Bishan Swarup (Red.).
Health Promotion - Principles and Approaches.
IntechOpen.
https://doi.org/10.5772/intechopen.111866
Chatterjee, Ayan; Prinz, Andreas; Riegler, Michael; Das, Jishnu
(2023).
A systematic review and knowledge mapping on ICT-based remote and automatic COVID-19 patient monitoring and care.
BMC Health Services Research.
Vol. 23.
https://doi.org/10.1186/s12913-023-10047-z
Dang Nguyen, Duc Tien; Khan, Sohail Ahmed; Midoglu, Cise; Riegler, Michael; Halvorsen, Pål; Dao, Minh-Son (2023). Grand Challenge On Detecting Cheapfakes. ISBN: 979-8-3503-1315-4. 5 s. IEEE conference proceedings.
Habault, Guillaume; Dao, Minh-Son; Riegler, Michael; Dang Nguyen, Duc Tien; Nakashima, Yuta; Gurrin, Cathal (2023). ICDAR’23: Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval. ISBN: 979-8-4007-0178-8. Association for Computing Machinery (ACM).
Nordmo, Tor-Arne Schmidt; Riegler, Michael; Dagenborg, Håvard Johansen; Johansen, Dag (2023). Arctic HARE: A Machine Learning-Based System for Performance Analysis of Cross-Country Skiers. Dang-Nguyen, Duc-Tien (Red.). MultiMedia Modeling. s. 553-564. Springer.