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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.
Proceedings, refereed
2023
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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.
Proceedings, refereed
2023
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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.
Proceedings, refereed
2023
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A. Sharma, M. H. Stensen, E. Delbarre, T. B. Haugen and H. L. Hammer

Explainable Artificial Intelligence for Human Embryo Cell Cleavage Stages Analysis

In Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval. ACM, 2022.
Proceedings, refereed
2022
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2021

Proceedings, refereed

V. Thambawita, T. B. Haugen, M. Stensen, O. Witczak, H. L. Hammer, P. Halvorsen and M. Riegler

Identification of spermatozoa by unsupervised learning from video data

In 37th Virtual Annual Meeting of the European Society of Human Reproduction and Embryology (ESHRE). Oxford University Press, 2021.
Status: Published
V. Thambawita, S. Hicks, J. Isaksen, M. H. Stensen, T. B. Haugen, J. Kanters, S. Parasa, T. de Lange, H. D. Johansen, D. Johansen et al.

DeepSynthBody: the beginning of the end for data deficiency in medicine

In The International Conference on Applied Artificial Intelligence (ICAPAI). IEEE, 2021.
Status: Published
2020

Proceedings, refereed

S. Hicks, V. Thambawita, H. L. Hammer, T. B. Haugen, J. M. Andersen, O. Witczak, P. Halvorsen and M. Riegler

ACM Multimedia BioMedia 2020 Grand Challenge Overview

In Proceedings of the 28th ACM International Conference on Multimedia. New York, NY, USA: Association for Computing Machinery, 2020.
Status: Published
S. Hicks, D. Jha, V. Thambawita, P. Halvorsen, H. L. Hammer and M. Riegler

The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy

In 25th International Conference on Pattern Recognition (ICPR). IEEE, 2020.
Status: Published
M. A. Pinto-Orellana and H. L. Hammer

Analysis of Optical Brain Signals Using Connectivity Graph Networks

In International Cross-Domain Conference for Machine Learning and Knowledge Extraction. Springer, 2020.
Status: Published
S. Pontes-Filho, P. Lind, A. Yazidi, J. Zhang, H. L. Hammer, G. B. M. Mello, I. Sandvig, G. Tufte and S. Nichele

EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality

In International Conference on the Applications of Evolutionary Computation (Part of EvoStar). Cham: Springer, 2020.
Status: Published
H. Svoren, V. Thambawita, P. Halvorsen, P. Jakobsen, E. Garcia-Ceja, F. M. Noori, H. L. Hammer, M. Lux, M. Riegler and S. Hicks

Toadstool: A Dataset for Training Emotional IntelligentMachines Playing Super Mario Bros

In The ACM Multimedia Systems Conference (MMSys). The ACM Multimedia Systems Conference (MMSys): ACM, 2020.
Status: Published
V. Thambawita, S. Hicks, H. Borgli, H. K. Stensland, D. Jha, M. K. Svensen, S. Pettersen, D. Johansen, H. D. Johansen, S. D. Pettersen et al.

PMData: a sports logging dataset

In Proceedings of the 11th ACM Multimedia Systems Conference. ACM, 2020.
Status: Published
2019

Proceedings, refereed

H. L. Hammer, M. Riegler, L. Øvrelid and E. Velldal

THREAT: A Large Annotated Corpus for Detection of Violent Threats

In 2019 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2019.
Status: Published
T. B. Haugen, S. Hicks, J. M. Andersen, O. Witczak, H. L. Hammer, R. Borgli, P. Halvorsen and M. Riegler

VISEM: a multimodal video dataset of human spermatozoa

In Proceedings of the 10th ACM Multimedia Systems Conference. ACM, 2019.
Status: Published