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Filters: Author is Tor Utheim  [Clear All Filters]
2023
A. Storås, M. Magnø, F. Fineide, B. Thiede, X. Chen, I. Strümke, P. Halvorsen, T. Utheim and M. Riegler. Identifying Important Proteins in Meibomian Gland Dysfunction with Explainable Artificial Intelligence In IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS2023)., 2023.
F. Fineide, A. Storås, M. Riegler and T. Utheim. Predicting Meibomian Gland Dropout and Feature Importance Analysis with Explainable Artificial Intelligence In IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS2023)., 2023.
F. Fineide, A. Storås, M. Magnø, H. L. Hammer, X. Chen, A. Khan, P. Halvorsen, T. Utheim and M. Riegler. Predicting the degree of meibomian gland dropout with artificial intelligence In ARVO Annual Meeting., 2023.
A. Storås, F. Fineide, H. L. Hammer, A. Khan, M. Magnø, C. Xiangjung, P. Halvorsen, T. Utheim and M. Riegler. Using explainable artificial intelligence (XAI) to explore factors affecting meibomian gland (MG) dropout In ARVO Annual Meeting., 2023.