Michael Alexander Riegler

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.

Ali, Sharib; Jha, Debesh; Ghatwary, Noha; Realdon, Stefano; Cannizzaro, Renato; Salem, Osama E.; Lamarque, Dominique; Daul, Christian; Riegler, Michael Alexander; Ånonsen, Kim Vidar; Petlund, Andreas; Halvorsen, Pål; Rittscher, Jens; de Lange, Thomas; East, James E (2023). A multi-centre polyp detection and segmentation dataset for generalisability assessment. Scientific Data . Vol. 10.
https://hdl.handle.net/10037/28669

Drejer, Catharina Sofie Rodenburg; Riegler, Michael; Halvorsen, Pål; S. Johnson, Miriam; Baugerud, Gunn Astrid (2023). Livestreaming Technology and Online Child Sexual Exploitation and Abuse: A Scoping Review. Trauma, Violence, & Abuse .

Storås, Andrea; Riegler, Michael Alexander; Haugen, Trine B.; Thambawita, Vajira L B; Hicks, Steven Alexander; 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. konferanseartikkel. Springer Nature.

Nordmo, Tor-Arne Schmidt; Espeseth, Martine; Juliussen, Bjørn Aslak; Riegler, Michael Alexander; Johansen, Dag (2022). Detection of Commercial Fishing-related Slipping Events using Multimodal Data. Bulterman, Dick; Kankanhalli, Mohan S.; Muehlhaeuser, Max; Persia, Fabio; Sheu, Phillip; Tsai, Jeffrey J.P.; D’Auria, Daniela; Ge, Mouzhi; Sert, Mustafa; Swaminathan, Vishy; Yamasaki, Toshihiko (Red.). Proceedings of the 2022 IEEE International Symposium on Multimedia (ISM). -. IEEE (Institute of Electrical and Electronics Engineers).

Hassan, Syed Zohaib; Sabet, Saeed; Salehi, Pegah; Ko, Hayley Manalang; Riiser, Ingvild; S. Johnson, Miriam; Baugerud, Gunn Astrid; Riegler, Michael; Halvorsen, Pål (2022). A Comparative Study of Interactive Environments for Investigative Interview of A Virtual Child Avatar. Bulterman, Dick; Kankanhalli, Mohan S.; Muehlhaeuser, Max; Persia, Fabio; Sheu, Phillip; Tsai, Jeffrey J.P.; D’Auria, Daniela; Ge, Mouzhi; Sert, Mustafa; Swaminathan, Vishy; Yamasaki, Toshihiko (Red.). Proceedings of the 2022 IEEE International Symposium on Multimedia (ISM). Paper. s. 194-201. IEEE (Institute of Electrical and Electronics Engineers).

Midoglu, Cise; Storås, Andrea; Sabet, Saeed; Hammou, Malek; Hicks, Steven; Strumke, Inga; Riegler, Michael; Griwodz, Carsten; Halvorsen, Pål (2022). Experiences and Lessons Learned from a Crowdsourced-Remote Hybrid User Survey Framework. Bulterman, Dick; Kankanhalli, Mohan S.; Muehlhaeuser, Max; Persia, Fabio; Sheu, Phillip; Tsai, Jeffrey J.P.; D’Auria, Daniela; Ge, Mouzhi; Sert, Mustafa; Swaminathan, Vishy; Yamasaki, Toshihiko (Red.). Proceedings of the 2022 IEEE International Symposium on Multimedia (ISM). Paper. s. 161-162. IEEE (Institute of Electrical and Electronics Engineers).

Torpmann-Hagen, Birk Sebastian Frostelid; Thambawita, Vajira L B; Riegler, Michael; Halvorsen, Pål; Glette, Kyrre (2022). Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation. Bulterman, Dick; Kankanhalli, Mohan S.; Muehlhaeuser, Max; Persia, Fabio; Sheu, Phillip; Tsai, Jeffrey J.P.; D’Auria, Daniela; Ge, Mouzhi; Sert, Mustafa; Swaminathan, Vishy; Yamasaki, Toshihiko (Red.). Proceedings of the 2022 IEEE International Symposium on Multimedia (ISM). Paper. s. 42-49. IEEE (Institute of Electrical and Electronics Engineers).

Jacobsen, Felicia; Hicks, Steven; Halvorsen, Pål; Riegler, Michael (2022). Estimating Predictive Uncertainty in Gastrointestinal Polyp Segmentation. Shen, Linlin; González, Alejandro Rodríguez; Santosh, KC; Lai, Zhihui; Sicilia, Rosa; Almeida, João Rafael; Kane, Bridget (Red.). 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS). Konferanse-artikkel. IEEE (Institute of Electrical and Electronics Engineers).

Fagereng, Jan Andre; Thambawita, Vajira L B; Storås, Andrea; Parasa, Sravanthi; de Lange, Thomas; Halvorsen, Pål; Riegler, Michael (2022). PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps. Shen, Linlin; González, Alejandro Rodríguez; Santosh, KC; Lai, Zhihui; Sicilia, Rosa; Almeida, João Rafael; Kane, Bridget (Red.). 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS). Konferanse-artikkel. s. 66-71- IEEE (Institute of Electrical and Electronics Engineers).

Forskningsrapporter

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

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.
https://arxiv.org/abs/1810.13278

Formidling

Riegler, Michael Alexander; Thambawita, Vajira; Nguyen, Thu; Hicks, Steven Alexander; Pettersen, Svein Arne; Johansen, Dag; Jain, Ramesh; Halvorsen, Pål (2023). ScopeSense: An 8.5-month sport, nutrition, and lifestyle lifelogging dataset. OSF Preprints.

Sareen, Siddharth; Riegler, Michael; Reinertsen, Hilde (2023). Hvordan vil kunstig intelligens forme verden de neste ti årene?.
https://www.morgenbladet.no/aktuelt/2023/01/26/hvo...

Nguyen, Phuc-Thinh; Dao, Minh-Son; Riegler, Michael Alexander; Kiran, Rage Uday; Dang, Thai-Thinh; Le, Duy-Dong; Nguyen-Ly, Kieu-Chinh; Pham, Thanh-Qui; Nguyen, Van-Luong (2023). Training Performance Indications for Amateur Athletes Based on Nutrition and Activity Lifelogs. Algorithms .

Nordmo, Tor-Arne Schmidt; Kvalsvik, Ove; Kvalsund, Svein Ove; Hansen, Birte; Halvorsen, Pål; Hicks, Steven; Johansen, Dag; Dagenborg, Håvard; Riegler, Michael Alexander (2022). FishAI: Sustainable Commercial Fishing Challenge. 3 s. Nordic Machine Intelligence (NMI) .

Thambawita, Vajira L B; Hicks, Steven; Storås, Andrea; Witczak, Oliwia; Andersen, Jorunn Marie; Hammer, Hugo Lewi; Halvorsen, Pål; Riegler, Michael Alexander; Haugen, Trine B. (2022). Real-time deep learning based multi object tracking of spermatozoa in fresh samples. Human Reproduction .

Hicks, Steven; Thambawita, Vajira L B; Storås, Andrea; Haugen, Trine B.; Hammer, Hugo Lewi; Halvorsen, Pål; Riegler, Michael Alexander; Stensen, Mette Haug (2022). P-272 Automatic Tracking of the ICSI procedure using Deep Learning. Human Reproduction . Vol. 37.

Storås, Andrea; Strumke, Inga; Riegler, Michael Alexander; Halvorsen, Pål (2022). Explainable Artificial Intelligence in Medicine. Nordic AI young researcher symposium (Nordic AI Meet) 2022. Norwegian Artificial Intelligence Research Consortium (NORA).

Storås, Andrea; Riegler, Michael Alexander; Halvorsen, Pål; Åsberg, Anders; Strumke, Inga (2022). Predicting drug exposure in kidney transplanted patients using machine learning. NORA Annual Conference 2022. Norwegian Artificial Intelligence Research Consortium (NORA).

Riegler, Michael Alexander; Johansen, Dag; Juliussen, Bjørn Aslak; Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Halvorsen, Pål; Johansen, Håvard D.; Rui, Jon Petter (2022). Njord: An out-in-the-wild real world fish vessel catch analysis dataset. Arctic Frontiers. Arctic Frontiers.

Johansen, Håvard D.; Johansen, Dag; Juliussen, Bjørn Aslak; Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Halvorsen, Pål; Riegler, Michael Alexander; Rui, Jon Petter (2022). Sustainable commercial fishing: Digital inspectors to the rescue. Arctic Frontiers. Arctic Frontiers.