| Artificial intelligence in dry eye disease AM Storås, I Strümke, MA Riegler, J Grauslund, HL Hammer, A Yazidi, ... The ocular surface 23, 74-86, 2022 | 41 | 2022 |
| Overview of ImageCLEF 2023: Multimedia retrieval in medical, socialmedia and recommender systems applications B Ionescu, H Müller, A Drăgulinescu, W Yim, AB Abacha, N Snider, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction …, 2023 | 39 | 2023 |
| VISEM-Tracking, a human spermatozoa tracking dataset V Thambawita, SA Hicks, AM Storås, T Nguyen, JM Andersen, O Witczak, ... Scientific Data 10 (1), 260, 2023 | 12 | 2023 |
| Overview of ImageCLEFmedical 2023-Medical Visual Question Answering for Gastrointestinal Tract. S Hicks, AM Storås, P Halvorsen, T de Lange, M Riegler, V Thambawita CLEF (Working Notes), 1316-1327, 2023 | 8 | 2023 |
| Generation of synthetic tabular healthcare data using generative adversarial networks AHZ Nik, MA Riegler, P Halvorsen, AM Storås International Conference on Multimedia Modeling, 434-446, 2023 | 6 | 2023 |
| Predicting an unstable tear film through artificial intelligence F Fineide, AM Storås, X Chen, MS Magnø, A Yazidi, MA Riegler, ... Scientific Reports 12 (1), 21416, 2022 | 6 | 2022 |
| Huldra: A framework for collecting crowdsourced feedback on multimedia assets M Hammou, C Midoglu, SA Hicks, A Storås, SS Sabet, I Strümke, ... Proceedings of the 13th ACM Multimedia Systems Conference, 203-209, 2022 | 6 | 2022 |
| Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa. V Thambawita, S Hicks, AM Storås, JM Andersen, O Witczak, TB Haugen, ... MediaEval, 2022 | 6 | 2022 |
| Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations S Hicks, A Storås, MA Riegler, C Midoglu, M Hammou, T de Lange, ... Plos one 19 (5), e0304069, 2024 | 5 | 2024 |
| ImageCLEF 2023 highlight: multimedia retrieval in medical, social media and content recommendation applications B Ionescu, H Müller, AM Drăgulinescu, A Popescu, A Idrissi-Yaghir, ... European Conference on Information Retrieval, 557-567, 2023 | 5 | 2023 |
| PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps JA Fagereng, V Thambawita, AM Storås, S Parasa, T De Lange, ... 2022 IEEE 35th International Symposium on Computer-Based Medical Systems …, 2022 | 5 | 2022 |
| Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet Applications B Ionescu, H Müller, AM Drăgulinescu, WW Yim, A Ben Abacha, N Snider, ... International Conference of the Cross-Language Evaluation Forum for European …, 2023 | 3 | 2023 |
| Usefulness of heat map explanations for deep-learning-based electrocardiogram analysis AM Storås, OE Andersen, S Lockhart, R Thielemann, F Gnesin, ... Diagnostics 13 (14), 2345, 2023 | 2 | 2023 |
| MLC at HECKTOR 2022: The Effect and Importance of Training Data When Analyzing Cases of Head and Neck Tumors Using Machine Learning V Thambawita, AM Storås, SA Hicks, P Halvorsen, MA Riegler 3D Head and Neck Tumor Segmentation in PET/CT Challenge, 166-177, 2022 | 2 | 2022 |
| Predicting tacrolimus exposure in kidney transplanted patients using machine learning AM Storås, A Åsberg, P Halvorsen, MA Riegler, I Strümke 2022 IEEE 35th International Symposium on Computer-Based Medical Systems …, 2022 | 2 | 2022 |
| Explainability methods for machine learning systems for multimodal medical datasets: research proposal AM Storås, I Strümke, MA Riegler, P Halvorsen Proceedings of the 13th ACM Multimedia Systems Conference, 347-351, 2022 | 2 | 2022 |
| Unsupervised Image Segmentation via Self-Supervised Learning Image Classification. AM Storås MediaEval, 2021 | 2 | 2021 |
| Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024 B Ionescu, H Müller, AM Drăgulinescu, A Idrissi-Yaghir, A Radzhabov, ... European Conference on Information Retrieval, 44-52, 2024 | 1 | 2024 |
| Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction AM Storås, F Fineide, M Magnø, B Thiede, X Chen, I Strümke, ... Scientific Reports 13 (1), 22946, 2023 | 1 | 2023 |
| Predicting Meibomian Gland Dropout and Feature Importance Analysis with Explainable Artificial Intelligence FA Fineide, AM Storås, MA Riegler, TP Utheim 2023 IEEE 36th International Symposium on Computer-Based Medical Systems …, 2023 | 1 | 2023 |
