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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).
Journal Article
2022
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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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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.
Proceedings, refereed
2022
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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).
Journal Article
2022
View

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2022

Proceedings, refereed

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.
Status: Published
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.
Status: Published
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.
Status: Published
2019

Journal articles

H. L. Hammer, A. Yazidi and H. Rue

A new quantile tracking algorithm using a generalized exponentially weighted average of observations

Applied Intelligence 49 (2019): 1406-1420.
Status: Published
H. L. Hammer and A. Yazidi

Smooth estimates of multiple quantiles in dynamically varying data streams

Pattern Analysis and Applications (2019): 1-12.
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
A. A. Mofrad, A. Yazidi and H. L. Hammer

On solving the SPL problem using the concept of probability flux

Applied Intelligence 49 (2019): 2699-2722.
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
N. Tatara, H. L. Hammer, J. Mirkovic, M. K. R. Kjøllesdal and H. K. Andreassen

Associations Between Immigration-Related User Factors and eHealth Activities for Self-Care: Case of First-Generation Immigrants From Pakistan in the Oslo Area, Norway

JMIR public health and surveillance 5 (2019): e11998.
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