Ingrid Utseth

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://doi.org/https://proceedings.mlr.press/v307/utseth26a.html , 2026. Vitenskapelig artikkel

Comparing Foundation Models for Medical Images: A Study on Limited Data and Generalization , 2026. Poster

Operationalizing and Testing Machine Learning Models for Acoustic Target Classification , 2025. Vitenskapelig foredrag

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. Vitenskapelig foredrag

Leveraging Data with Strong, Weak and No Labels in Marine Acoustics 2025. Poster

Deep learning for marine acoustics: Leveraging data with strong, weak and no labels 2025. Faglig foredrag

Deep learning methods for acoustic target classification , 2025. Annen presentasjon

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. Vitenskapelig artikkel

A Rock, Paper, Scissors Robot for Engaging Interest in Research , 2024. Poster

Fisheries acoustics and deep learning , 2024. Vitenskapelig foredrag

Experiments with foundation models for cardiac ultrasound images 2024. Rapport

Detection of timing events in cardiac ultrasound 2024. Rapport

Summary rock-paper-scissors robot 2024 2024. Rapport

Experiments with Foundation Models for Cardiac Ultrasound Images in Limited Data Scenarios 2024. Poster

Experiments with Foundation Models for Cardiac Ultrasound Images in Limited Data Scenarios 2024. Faglig foredrag

A Rock, Paper, Scissors Robot for Engaging Interest in Research pp. 450 452 , doi: https://doi.org/10.1145/3687272.3690914 , 2024. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Exploring the Use of AI for Enhanced Accessibility Testing of Web Solutions pp. 453 460 , doi: https://doi.org/10.3233/SHTI241041 , 2024. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Analysing large amounts of echosounder data using cloud based data access combined with deep learning models , 2024. Vitenskapelig foredrag

GB-prosjektet AI-basert UU-tilsyn 2023. Rapport

Oppsummering: stein-saks-papir robot 2023. Rapport

Learning from weakly labelled marine acoustic data 2023. Vitenskapelig foredrag

A story about data extraction and deep learning applied to fishery acoustic data 2023. Vitenskapelig foredrag

Learning from weakly labelled marine acoustic data 2023. Poster

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. Vitenskapelig artikkel

Forsker Ingrid har vært på tokt , 2023. Programdeltagelse

CRIMAC cruise report: Development of acoustic and optic methods for underwater target calssification - G.O. Sars 22.11 - 03.12 2022 , 2023. Rapport

Centre for research based innovation in marine acoustic abundance estimation and backscatter classification (CRIMAC) 2023. Poster

Improving marine acoustic target classification with context information 2022. Poster

Developing and deploying machine learning methods for acoustic data 2022. Vitenskapelig foredrag

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. Vitenskapelig artikkel

Using model averaging ensembles in semantic segmentation of marine echosounder data for acoustic classification of species 2021. Vitenskapelig foredrag

Improving marine acoustic target classification with context information 2021. Poster