Ingrid Utseth

Ingrid Utseth; Amund Hansen Vedal; Sarina Thomas; Line Eikvil; Comparing Foundation Models for Medical Images: A Study on Limited Data and Generalization , 2026. Poster

Ingrid Utseth; Amund Hansen Vedal; Sarina Thomas; Line Eikvil; Comparing Foundation Models for Medical Images: A Study on Limited Data and Generalization Proceedings of Machine Learning Research (PMLR), vol. 307, pp. 439 447 , (ISSN 2640-3498 ), doi: https://proceedings.mlr.press/v307/utseth26a.html , 2026. Scientific article

Nils Olav Handegard; Silje Smith-Johnsen; Arne Johannes Holmin; Cristian Muñoz Mas; Ingrid Utseth; Daniel Dondorp; Operationalizing and Testing Machine Learning Models for Acoustic Target Classification , 2025. Scientific lecture

Nils Olav Handegard; Stian Jacobsen; Espen Johnsen; Rolf Korneliussen; Ingrid Utseth; Implementing uncrewed surface vehicles in existing acoustic trawl surveys: data infrastructure, remote operating centre, edge computing, data compression and transfer, data quality monitoring, and automated target classification 2025. Scientific lecture

Ingrid Utseth; Olav Brautaset; Line Eikvil; Alba Ordonez; Arnt Børre Salberg; Muhammad Sarmad; Arne Johannes Holmin; Ahmet Pala; Nils Olav Handegard; Deep learning methods for acoustic target classification , 2025. Other presentation

Ingrid Utseth; Alba Ordonez; Muhammad Sarmad; Arnt Børre Salberg; Line Eikvil; Olav Brautaset; Nils Olav Handegard; Deep learning for marine acoustics: Leveraging data with strong, weak and no labels , 2025. Lecture

Ingrid Utseth; Muhammad Sarmad; Line Eikvil; Arnt Børre Salberg; Alba Ordonez; Olav Brautaset; Leveraging Data with Strong, Weak and No Labels in Marine Acoustics , 2025. Poster

Nils Olav Handegard; Arne Johannes Holmin; Ahmet Pala; Ingrid Utseth; Espen Johnsen; Integrating and assessing machine learning acoustic target classification models for fish survey estimations ICES Journal of Marine Science, vol. 82, (ISSN 1054-3139 1095-9289 ), doi: https://doi.org/10.1093/icesjms/fsaf069 , 2025. Scientific article

Kristin Skeide Fuglerud; Till Halbach; Ingrid Utseth; Anders U. Waldeland; Exploring the Use of AI for Enhanced Accessibility Testing of Web Solutions pp. 453 460 , doi: https://doi.org/10.3233/SHTI241041 , 2024. Scientific chapter / article / conference article

Ingrid Utseth; Amund Hansen Vedal; Line Eikvil; Anders U. Waldeland; Experiments with foundation models for cardiac ultrasound images 2024. Report

Ingrid Utseth; Amund Hansen Vedal; Line Eikvil; Detection of timing events in cardiac ultrasound 2024. Report

Trenton Schulz; Ingrid Utseth; Summary rock-paper-scissors robot 2024 2024. Report

Ingrid Utseth; Amund Hansen Vedal; Line Eikvil; Anders U. Waldeland; Experiments with Foundation Models for Cardiac Ultrasound Images in Limited Data Scenarios 2024. Poster

Ingrid Utseth; Amund Hansen Vedal; Line Eikvil; Anders U. Waldeland; Experiments with Foundation Models for Cardiac Ultrasound Images in Limited Data Scenarios 2024. Lecture

Trenton Schulz; Ingrid Utseth; A Rock, Paper, Scissors Robot for Engaging Interest in Research pp. 450 452 , doi: https://doi.org/10.1145/3687272.3690914 , 2024. Scientific chapter / article / conference article

Trenton Schulz; Ingrid Utseth; A Rock, Paper, Scissors Robot for Engaging Interest in Research , 2024. Poster

Nils Olav Handegard; Leif Bildøy; Olav Brautaset; Tomasz Furmanek; Arne Johannes Holmin; Ingrid Utseth; Ketil Malde; Fisheries acoustics and deep learning , 2024. Scientific lecture

Nils Olav Handegard; Leif Bildøy; Olav Brautaset; Tomasz Furmanek; Arne Johannes Holmin; Ahmet Pala; Ingrid Utseth; Ketil Malde; Analysing large amounts of echosounder data using cloud based data access combined with deep learning models , 2024. Scientific lecture

Till Halbach; Anders U. Waldeland; Ingrid Utseth; Kristin Skeide Fuglerud; GB-prosjektet AI-basert UU-tilsyn 2023. Report

Trenton Schulz; Ingrid Utseth; Oppsummering: stein-saks-papir robot 2023. Report

Olav Brautaset; Ingrid Utseth; Line Eikvil; Arnt-Børre Salberg; Nils Olav Handegard; Learning from weakly labelled marine acoustic data 2023. Scientific lecture

Nils Olav Handegard; Leif Bildøy; Olav Brautaset; Tomasz Furmanek; Arne Johannes Holmin; Ingrid Utseth; Sindre Vatnehol; Ketil Malde; A story about data extraction and deep learning applied to fishery acoustic data 2023. Scientific lecture

Olav Brautaset; Ingrid Utseth; Line Eikvil; Arnt-Børre Salberg; Nils Olav Handegard; Learning from weakly labelled marine acoustic data 2023. Poster

Ahmet Pala; Anna Oleynik; Ingrid Utseth; Nils Olav Handegard; Addressing class imbalance in deep learning for acoustic target classification ICES Journal of Marine Science, vol. 80, pp. 2530 2544 , (ISSN 1054-3139 1095-9289 ), doi: https://doi.org/10.1093/icesjms/fsad165 , 2023. Scientific article

Forsker Ingrid har vært på tokt , 2023. Media participation

Nils Olav Handegard; Maria Tenningen; Ahmed Pala; Babak Khodabandeloo; Rolf Korneliussen; Rokas Kubilius; Liz Beate Kolstad Kvalvik; Geir Pedersen; Shale Rosen; Jostein Saltskår; Erik Schuster; Ingrid Utseth; Eugenie Heliana Taraneh Westergerling; CRIMAC cruise report: Development of acoustic and optic methods for underwater target calssification - G.O. Sars 22.11 - 03.12 2022 , 2023. Report

Nils Olav Handegard; Tonny Algrøy; Inge Kristian Eliassen; Tonje Nesse Forland; Espen Johnsen; Audun Oppedal Pedersen; Geir Pedersen; Maria Tenningen; Ingrid Utseth; Centre for research based innovation in marine acoustic abundance estimation and backscatter classification (CRIMAC) 2023. Poster

Ingrid Utseth; Alba Ordonez; Line Eikvil; Olav Brautaset; Arnt Børre Salberg; Nils Olav Handegard; Improving marine acoustic target classification with context information 2022. Poster

Nils Olav Handegard; Olav Brautaset; Changkyu Choi; Tomasz Furmanek; Arne Johan Hestnes; Espen Johnsen; Alba Ordonez; Ingrid Utseth; Sindre Vatnehol; Geir Huse; Developing and deploying machine learning methods for acoustic data 2022. Scientific lecture

Alba Ordonez; Ingrid Utseth; Olav Brautaset; Rolf Korneliussen; Nils Olav Handegard; Evaluation of echosounder data preparation strategies for modern machine learning models Fisheries Research, vol. 254, (ISSN 0165-7836 1872-6763 ), doi: https://doi.org/10.1016/j.fishres.2022.106411 , 2022. Scientific article

Alba Ordonez; Ingrid Utseth; Line Eikvil; Nils Olav Handegard; Using model averaging ensembles in semantic segmentation of marine echosounder data for acoustic classification of species 2021. Scientific lecture

Ingrid Utseth; Alba Ordonez; Line Eikvil; Olav Brautaset; Arnt-Børre Salberg; Nils Olav Handegard; Improving marine acoustic target classification with context information 2021. Poster