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C. Midoglu, A. Storås, S. S. Sabet, M. Hammou, S. Hicks, I. Strümke, M. Riegler, C. Griwodz and P. Halvorsen

Experiences and Lessons Learned from a Crowdsourced-Remote Hybrid User Survey Framework

In 2022 IEEE International Symposium on Multimedia (ISM). Italy: IEEE, 2022.
Proceedings, refereed
2022
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F. Fineide, A. Storås, X. Chen, M. S. Magnø, A. Yazidi, M. Riegler and T. P. Utheim

Predicting an unstable tear film through artificial intelligence

Scientific Reports 12, no. 1 (2022): 21416.
Journal Article
2022
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S. Hicks, V. Thambawita, A. Storås, T. B. Haugen, H. L. Hammer, P. Halvorsen, M. Riegler and M. H. Stensen

Automatic Tracking of the ICSI procedure using Deep Learning

Human Reproduction 37, no. Supplement_1 (2022).
Journal Article
2022
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J. A. Fageren, V. Thambawita, A. Storås, S. Parasa, T. de Lange, P. Halvorsen and M. Riegler

PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps

In IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2022.
Proceedings, refereed
2022
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2022

Journal articles

F. Fineide, A. Storås, X. Chen, M. S. Magnø, A. Yazidi, M. Riegler and T. P. Utheim

Predicting an unstable tear film through artificial intelligence

Scientific Reports 12, no. 1 (2022): 21416.
Status: Published
S. Hicks, V. Thambawita, A. Storås, T. B. Haugen, H. L. Hammer, P. Halvorsen, M. Riegler and M. H. Stensen

Automatic Tracking of the ICSI procedure using Deep Learning

Human Reproduction 37, no. Supplement_1 (2022).
Status: Published
A. Storås, R. Prabhu, H. L. Hammer and I. Strümke

Bias og kvantitativ analyse innen velferd

Tidsskrift for velferdsforskning 25, no. 3 (2022): 1-24.
Status: Published
A. Storås, I. Strümke, M. Riegler, J. Grauslund, H. L. Hammer, A. Yazidi, P. Halvorsen, K. G. Gundersen, T. P. Utheim and C. J. Jackson

Artificial intelligence in dry eye disease

The Ocular Surface 23 (2022): 74-86.
Status: Published
V. Thambawita, S. Hicks, A. Storås, O. Witczak, J. M. Andersen, H. L. Hammer, P. Halvorsen, M. Riegler and H. B. Trine

Real-time deep learning based multi object tracking of spermatozoa in fresh samples

Human Reproduction 37, no. Supplement_1, July 2022, deac107.104 (2022).
Status: Published

Proceedings, refereed

J. A. Fageren, V. Thambawita, A. Storås, S. Parasa, T. de Lange, P. Halvorsen and M. Riegler

PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps

In IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2022.
Status: Published
M. Hammou, C. Midoglu, S. Hicks, A. Storås, S. S. Sabet, I. Strümke, M. Riegler and P. Halvorsen

Huldra: A Framework for Collecting Crowdsourced Feedback on Multimedia Assets

In Proceedings of the 13th ACM Multimedia Systems Conference (MMSys '22). ACM, 2022.
Status: Published
C. Midoglu, A. Storås, S. S. Sabet, M. Hammou, S. Hicks, I. Strümke, M. Riegler, C. Griwodz and P. Halvorsen

Experiences and Lessons Learned from a Crowdsourced-Remote Hybrid User Survey Framework

In 2022 IEEE International Symposium on Multimedia (ISM). Italy: IEEE, 2022.
Status: Published
A. Storås, I. Strümke, M. Riegler and P. Halvorsen

Explainability methods for machine learning systems for multimodal medical datasets: research proposal

In ACM Multimedia Systems (MMSys) Conference. ACM, 2022.
Status: Published
A. Storås, M. Riegler, T. B. Haugen, V. Thambawita, S. Hicks, H. L. Hammer, R. Kakulavarapu, P. Halvorsen and M. H. Stensen

Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure

In NAIS: Symposium of the Norwegian AI Society . Vol. 1650. NAIS 2022, 2022.
Status: Published