Primary tabs

2023
H. L. Hammer, M. Riegler and H. Tjelmeland. "Approximate Bayesian Inference Based on Expected Evaluation." Bayesian Analysis 1, no. 1 (2023).
A. Sharma, M. Stensen, E. Delbarre, M. Siddiqui, T. Haugen, M. Riegler and H. L. Hammer. Detecting human embryo cleavage stages using YOLO v5 object detection algorithm In Nordic Artificial Intelligence Research and Development. Springer, 2023.
R. K. Røed, G. A. Baugerud, S. Z. Hassan, S. S. Sabet, P. Salehi, M. Powell, M. Riegler, P. Halvorsen and M. S. Johnson. "Enhancing Questioning Skills through Child Avatar Chatbot Training with Feedback." Frontiers in Psychology (2023).
A. H. Z. Nik, M. Riegler, P. Halvorsen and A. Storås. Generation of Synthetic Tabular Healthcare Data Using Generative Adversarial Networks In International conference on multimedia modeling. Springer International Publishing, 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.
C. S. R. Drejer, M. Riegler, M. S. Johnson, P. Halvorsen and G. A. Baugerud. "Live Streaming Technology and Online Child Sexual Exploitation and Abuse - A Scoping Review." Trauma, Violence, & Abuse (2023).
P. H. Smedsrud, H. Espeland, T. J. D. Berstad, A. Petlund, T. de Lange, M. Riegler and P. Halvorsen. Man vs. AI: An in silico study of polyp detection performance In 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS). L'Aquila, Italy: IEEE, 2023.
S. Ali, D. Jha, N. Ghatwary, S. Realdon, R. Cannizzaro, O. E. Salem, D. Lamarque, C. Daul, K. V. Anonsen, M. Riegler et al. "A multi-center polyp detection and segmentation dataset for generalisability assessment." Nature Scientific Data 10 (2023).
T. Nguyen, A. Storås, V. Thambawita, S. Hicks, P. Halvorsen and M. Riegler. Multimedia datasets: challenges and future possibilities In International conference on multimedia modeling., 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.
M. Riegler, V. Thambawita, A. Chatterjee, T. Nguyen, S. Hicks, V. Telle-Hansen, S. A. Pettersen, D. Johansen, R. Jain and P. Halvorsen. ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset In International Conference on Multimedia Modeling (MMM), Edited by D. Dang-Nguyen, C. Gurrin, M. Larson, A. F. Smeaton, S. Rudinac, M. Dao, C. Trattner and P. Chen. Vol. 13833. Cham: Springer International Publishing, 2023.
P. Nguyen, M. Dao, M. Riegler, R. U. Kiran, T. Dang, D. Le, K. Nguyen-Ly, T. Pham and V. Nguyen. "Training Performance Indications for Amateur Athletes Based on Nutrition and Activity Lifelogs." Algorithms, no. 1 (2023): 30.
A. Storås, O. E. Andersen, S. Lockhart, R. Thielemann, F. Gnesin, V. Thambawita, S. Hicks, J. Kanters, I. Strümke, P. Halvorsen et al. "Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis." Diagnostics 13, no. 14 (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.
2022
S. Aneja, C. Midoglu, D. Dang-Nguyen, S. Khan, M. Riegler, P. Halvorsen, C. Bregler and B. Adsumilli. ACM Multimedia Grand Challenge on Detecting Cheapfakes. ACM Multimedia Conference (MM): ACM, 2022.
J. A. Alslie, A. B. Ovesen, T. S. Nordmo, H. D. Johansen, P. Halvorsen, M. Riegler and D. Johansen. "Áika: A Distributed Edge System for AI Inference." Big Data and Cognitive Computing 6, no. 2 (2022): 68.
W. Tavanapong, J. Oh, M. Riegler, M. I. Khaleel, B. Mitta and P. C. De Groen. "Artificial Intelligence for Colonoscopy: Past, Present, and Future." IEEE Journal of Biomedical and Health Informatics 26, no. 8 (2022): 3950-3965.
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.PDF icon dry_eye_ai_manuscript_nolinenumbers14november.pdf (989.75 KB)
A. Husa, C. Midoglu, M. Hammou, S. Hicks, D. Johansen, T. Kupka, M. Riegler and P. Halvorsen. Automatic Thumbnail Selection for Soccer Videos using Machine Learning In Proceedings of the 13th ACM Multimedia Systems Conference (MMSys '22). ACM, 2022.
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).
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.
A. Sharma, R. Kakulavarapu, V. Thambawita, M. Siddiqui, E. Delbarre, M. Riegler, H. L. Hammer and M. Stensen. Automating tracking of cell division for human embryo development in time lapse videos In Human Reproduction. Vol. 37. Oxford University Press, 2022.
A. Sharma, R. Kakulavarapu, V. Thambawita, M. Siddiqui, E. Delbarre, M. Riegler, H. L. Hammer and M. Stensen. "Automating tracking of cell division for human embryo development in time lapse videos." Human Reproduction 37, no. Supplement_1 (2022).
K. Radhika, D. Erwan, S. Mette, H. B. Trine and M. Riegler. "Cell exclusion during human embryo development result in altered morphokinetic patterns up to morula formation." Human Reproduction (2022).

Pages