Trine Haugen
External collaborator
Publications
Simula-affiliated publications listed
2023
Journal Articles
V. Thambawita, S. Hicks, A. Storås, T. Nguyen, J. M. Andersen, O. Witczak, T. B. Haugen, H. L. Hammer, P. Halvorsen and M. Riegler
VISEM-Tracking, a human spermatozoa tracking dataset
Scientific Data
2022
Journal Articles
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
Proceedings, refereed
V. Thambawita, S. Hicks, A. Storås, J. M. Andersen, O. Witczak, T. B. Haugen, H. L. Hammer, T. Nguyen, P. Halvorsen and M. Riegler
Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa
MediaEval 2022
2021
Posters
T. B. Haugen, S. Hicks, O. Witczak, J. M. Andersen, L. Bjørndal, M. Riegler and M. H. Stensen
Assessment of sperm motility according to WHO classification using convolutional neural networks
2020
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
2019
Proceedings, refereed
V. Thambawita, P. Halvorsen, H. L. Hammer, M. Riegler and T. B. Haugen
Extracting temporal features into a spatial domain using autoencoders for sperm video analysis
MediaEval 2019
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
Medico Multimedia Task at MediaEval 2019
MediaEval
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
MediaEval
V. Thambawita, P. Halvorsen, H. L. Hammer, M. Riegler and T. B. Haugen
Stacked dense optical flows and dropout layers to predict sperm motility and morphology
MediaEval 2019, 27-29 October 2019, Sophia Antipolis, France
S. Hicks, T. B. Haugen, P. Halvorsen and M. Riegler
Using Deep Learning to Predict Motility and Morphology of Human Sperm
MediaEval 2019