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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 ACM MMSys 2020, 2020.
Proceedings, refereed
2020
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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).
Journal Article
2019
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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).
Journal Article
2019
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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.
Proceedings, refereed
2019
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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 ACM MMSys 2020, 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
S. Hicks, P. Halvorsen, T. B. Haugen, J. M. Andersen, O. Witczak, K. Pogorelov, H. L. Hammer, D. Dang-Nguyen, M. Lux and M. Riegler

Predicting Sperm Motility and Morphology using Deep Learning and Handcrafted Features

In MediaEval, 2019.
Status: Accepted