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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).
Journal Article
2023
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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). Vol. 13833. Cham: Springer International Publishing, 2023.
Proceedings, refereed
2023
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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.
Proceedings, refereed
2023
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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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2020

Proceedings, refereed

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

Posters

S. Hicks, T. B. Haugen, M. Iliceto, H. L. Hammer, J. M. Andersen, O. Witczak, M. Riegler and M. Stensen

Big data is not always better – prediction of live birth using machine learning on time-lapse videos of human embryos

ESHRE virtual 36th Annual Meeting: ESHRE, 2020.
Status: Published
2019

Journal articles

S. Hicks, P. H. Smedsrud, M. Riegler, T. de Lange, A. Petlund, S. L. Eskeland, K. Pogorelov, P. T. Schmidt and P. Halvorsen

Deep Learning for Automatic Generation of Endoscopy Reports

Gastrointestinal Endoscopy 89, no. 6 (2019).
Status: Published
S. Hicks, J. M. Andersen, O. Witczak, V. Thambawita, P. Halvorsen, H. L. Hammer, T. B. Haugen and M. Riegler

Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction

Nature Scientific Reports 9, no. 1 (2019).
Status: Published
M. Riegler, J. Andersen, M. Andersen, H. L. Hammer, S. Hicks, A. Hicks, W. Oliwia and T. Haugen

Artificial intelligence as a tool in predicting sperm motility and morphology: P-116

Human Reproduction 34 (2019).
Status: Published
O. Witczak, J. Andersen, S. Hicks, H. L. Hammer, M. Riegler and T. Haugen

Artificial intelligence predicts sperm motility from sperm fatty acids: P-120

Human Reproduction 34 (2019).
Status: Published

Proceedings, refereed

S. Hicks, A. Petlund, T. de Lange, P. T. Schmidt, P. Halvorsen, M. Riegler, P. H. Smedsrud, T. B. Haugen, K. R. Randel, K. Pogorelov et al.

ACM Multimedia BioMedia 2019 Grand Challenge Overview

In The ACM International Conference on Multimedia (ACM MM). New York, New York, USA: ACM Press, 2019.
Status: Published
J. I. Frogner, F. M. Noori, P. Halvorsen, S. Hicks, E. Garcia-Ceja, J. Torresen and M. Riegler

One-Dimensional Convolutional Neural Networks on Motor Activity Measurements in Detection of Depression

In Proceedings of the 4th International Workshop on Multimedia for Personal Health & Health Care - HealthMedia '19. New York, NY, USA: ACM Press, 2019.
Status: Published
E. R. Eriksen, S. Hicks, M. Riegler, P. Halvorsen and V. Carapella

A Web-Based Software for Training and Quality Assessment in the Image Analysis Workflow for Cardiac T1 Mapping MRI

In 2019 IEEE International Symposium on Multimedia (ISM). 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