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J. Amann, D. Vetter, S. N. Blomberg, H. C. Christensen, M. Coffee, S. Gerke, T. K. Gilbert, T. Hagendorff, S. Holm, M. Livne et al.

To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems

PLOS Digital Health 1, no. 2 (2022): e0000016.
Journal Article
2022
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A. Storås, A. Åsberg, P. Halvorsen, M. Riegler and I. Strümke

Predicting Tacrolimus Exposure in Kidney Transplanted Patients Using Machine Learning

In 35th IEEE CBMS International Symposium on Computer-Based Medical Systems. IEEE, 2022.
Proceedings, refereed
2022
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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.
Journal Article
2022
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S. Hicks, I. Strümke, V. Thambawita, M. Hammou, M. Riegler, P. Halvorsen and S. Parasa

On evaluation metrics for medical applications of artificial intelligence

Scientific Reports 12 (2022): 1-9.
Journal Article
2022
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03 February 2022
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SimulaMet part of EU project to improve patient outcome in acute stroke treatment

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2022

Journal articles

J. Amann, D. Vetter, S. N. Blomberg, H. C. Christensen, M. Coffee, S. Gerke, T. K. Gilbert, T. Hagendorff, S. Holm, M. Livne et al.

To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems

PLOS Digital Health 1, no. 2 (2022): e0000016.
Status: Published
S. Hicks, I. Strümke, V. Thambawita, M. Hammou, M. Riegler, P. Halvorsen and S. Parasa

On evaluation metrics for medical applications of artificial intelligence

Scientific Reports 12 (2022): 1-9.
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
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

Proceedings, refereed

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). The ACM Multimedia Systems Conference (MMSys): ACM, 2022.
Status: Published
A. Storås, A. Åsberg, P. Halvorsen, M. Riegler and I. Strümke

Predicting Tacrolimus Exposure in Kidney Transplanted Patients Using Machine Learning

In 35th IEEE CBMS International Symposium on Computer-Based Medical Systems. 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

Posters

A. Storås, M. Riegler, P. Halvorsen, A. Åsberg and I. Strümke

Predicting drug exposure in kidney transplanted patients using machine learning

NORA Annual Conference 2022, 2022.
Status: Accepted

Talks, invited

A. Storås, I. Strümke, M. Riegler and P. Halvorsen

Explainable Artificial Intelligence in Medicine

In Nordic AI Meet 2022, 2022.
Status: Accepted

Public outreach

O. Lysne, I. Strümke and M. Riegler

Data samlet fra åpne kilder er ikke ufarlig

Kronikk: Aftenposten, 2022.
Status: Published