Pål Halvorsen

Vitenskapelige publikasjoner

Ali, Sharib; Ghatwary, Noha; Jha, Debesh; Isik-Polat, Ece; Polat, Gorkem; Yang, Cheng; Li, Wuyang; Galdran, Adrian; Ballester, Miguel Angel Gonzalez; Thambawita, Vajira L B; Hicks, Steven; Poudel, Sahadev; Lee, Sang-Woong; Jin, Ziyi; Gan, Tianyuan; Yu, Chenghui; Yan, JiangPeng; Yeo, Doyeob; Lee, Hyunseok Lee; Tomar, Nikhil Kumar; Haitham, Mahmood; Ahmed, Amr; Riegler, Michael Alexander ; Daul, Christian; Halvorsen, Pål ; Rittscher, Jens; Salem, Osama E.; Lamarque, Dominique; Cannizzaro, Renato; Realdon, Stefano; de Lange, Thomas; East, James E (2024). Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge. Scientific Reports. Vol. 14.
https://doi.org/10.1038/s41598-024-52063-x

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

Nik, Alireza Hossein Zadeh; Riegler, Michael Alexander ; Halvorsen, Pål ; Storås, Andrea (2023). Generation of synthetic tabular healthcare data using generative adversarial networks. Dang-Nguyen, Duc-Tien (Red.). MultiMedia Modeling : 29th International conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part II. s. 434-446. Springer.
https://doi.org/10.1007/978-3-031-27077-2_34

Boeker, Matthias; Jakobsen, Petter; Riegler, Michael ; Stabell, Lena Antonsen; Fasmer, Ole Bernt; Halvorsen, Pål ; Hammer, Hugo Lewi (2023). Affect Recognition in Muscular Response Signals. 14 s. IEEE Access. Vol. 11.
https://doi.org/10.1109/ACCESS.2023.3279720

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; Borges Moreno e Mello, Gustavo; 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

Thambawita, Vajira L B; Storås, Andrea; Hicks, Steven; Halvorsen, Pål ; Riegler, Michael (2023). MLC at HECKTOR 2022: The Effect and Importance of Training Data When Analyzing Cases of Head and Neck Tumors Using Machine Learning. Andrearczyk, Vincent; Oreiller, Valentin; Hatt, Mathieu; Depeursinge, Adrien (Red.). Head and Neck Tumor Segmentation and Outcome Prediction . Springer Nature.
https://doi.org/https://doi.org/10.1007/978-3-031-

Ionescu, Bogdan; Müller, Henning; DRĂGULINESCU, ANA-MARIA; Popescu, Adrian; Idrissi-Yaghir, Ahmad; García Seco de Herrera, Alba; Andrei, Alexandra; Stan, Alexandru; Storås, Andrea; Ben Abacha, Asma; Friedrich, Christoph M.; Ioannidis, George; Adams, Griffin; Schäfer, Henning; Manguinhas, Hugo; Filipovich, Ihar; Coman, Ioan; Deshayes, Jérôme; Schöler, Johanna; Rückert, Johannes; Ştefan, Liviu Daniel; Bloch, Louise; Yetisgen, Meliha; Riegler, Michael Alexander ; Dogariu, Mihai; Constantin, Mihai Gabriel; Snider, Neal; Papachrysos, Nikolaos; Halvorsen, Pål ; Brüngel, Raphael; Kozlovski, Serge; Hicks, Steven; de Lange, Thomas; Thambawita, Vajira L B; Kovalev, Vassili; Yim, Wen-Wai (2023). ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. NN, NN (Red.). Advances in Information Retrieval. ECIR 2023. s. 557-567. Springer.
https://doi.org/10.1007/978-3-031-28241-6_64

Storås, Andrea; Fineide, Fredrik; Magnø, Morten Schjerven; Thiede, Bernd; Chen, Xiangjun; Strumke, Inga; Halvorsen, Pål ; Galtung, Hilde; Jensen, Janicke Cecilie Liaaen; Utheim, Tor Paaske ; Riegler, Michael Alexander (2023). Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction. Scientific Reports. Vol. 13.
https://doi.org/10.1038/s41598-023-50342-7

Machacek, Roman; Mozaffari, Leila; Sepasdar, Zahra; Parasa, Sravanthi; Halvorsen, Pål ; Riegler, Michael ; Thambawita, Vajira L B (2023). Mask-conditioned latent diffusion for generating gastrointestinal polyp images. Habault, Guillaume; Dao, Minh-Son; Riegler, Michael; Dang Nguyen, Duc Tien; Nakashima, Yuta; Gurrin, Cathal (Red.). ICDAR’23: Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval. Association for Computing Machinery (ACM).
https://doi.org/10.1145/3592571.3592978

Nguyen, Thu; Storås, Andrea; Thambawita, Vajira L B; Hicks, Steven; Halvorsen, Pål ; Riegler, Michael Alexander (2023). Multimedia Datasets: Challenges and Future Possibilities. Dang Nguyen, Duc Tien; Gurrin, Cathal; Larson, Martha; Smeaton, Alan F.; Rudinac, Stevan; Dao, Minh-Son (Red.). MultiMedia Modeling: 29th International Conference, MMM 2023, Bergen, Norway, January 9–12, 2023, Proceedings, Part II. Springer.
https://doi.org/10.1007/978-3-031-27818-1_58

Forskningsrapporter

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.

Stensland, Håkon Kvale; Halvorsen, Pål ; Griwodz, Carsten (2015). Processing Multimedia Workloads on Heterogeneous Multicore Architectures. 300 s. Akademika Publishing.
http://hdl.handle.net/10852/50618

Leister, Wolfgang; Sutinen, Tiia; Boudko, Svetlana; Marsh, Ian; Griwodz, Carsten; Halvorsen, Pål (2010). ADIMUS - Adaptive Internet Multimedia Streaming - Final Project Report. ISBN: 978-82-539-0536-5. 36 s.
http://publications.nr.no/5335/Leister_-_ADIMUS_-_

Halvorsen, Pål ; Griwodz, Carsten; Goebel, Vera Hermine; Plagemann, Thomas Peter (2003). Storage System Support for Multimedia Applications", Research Report No. 307,. ISBN: 82-7368-259-5. 18 s. Universitetet i Oslo.

Formidling

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.

Thambawita, Vajira L B; Hicks, Steven; Storås, Andrea; Andersen, Jorunn Marie ; Witczak, Oliwia ; Haugen, Trine B. ; Hammer, Hugo Lewi ; Nguyen, Thu; Halvorsen, Pål ; Riegler, Michael Alexander (2023). Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa. CEUR Workshop Proceedings.
https://2022.multimediaeval.com/paper5501.pdf

Thambawita, Vajira; Hicks, Steven A.; Storås, Andrea; Andersen, Jorunn Marie ; Witczak, Oliwia ; Nguyen, Thu; Haugen, Trine B. ; Hammer, Hugo Lewi ; Riegler, Michael ; Halvorsen, Pål (2023). Medico multimedia task at MedialEval: transparent tracking of spermatozoa. 22nd European Testis Workshop. European Testis Workshops/EMBO.

Røed, Ragnhild Klingenberg; Baugerud, Gunn Astrid ; Sabet, Saeed; Riegler, Michael A; Halvorsen, Pål ; Johnson, Miriam Sinkerud; Lamb, Michael E.; Powell, Martine B.; Quas, Jodi; Hassan, Syed Zohaib; Salehi, Pegah; Olimb, Ingvild (2023). Training Interviewing Skills with a Talking AI-Driven Child Avatar. The 38th Annual San Diego International Conference on Child and Family Maltreatment. Chadwick Center.

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.

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