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Search results for biblio_year:2019
Filters: 1 is biblio_type:PhD Thesis and 2 is biblio_year:2018 and 3 is biblio_type:Proceedings, refereed and Author is Trine B. Haugen  [Reset Search]
2019
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 In MediaEval 2019, 27-29 October 2019, Sophia Antipolis, France., 2019.PDF icon medico_2019_paper_2_ae_based_method_vajira.pdf (1.6 MB)
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 (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 In 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. Predicting Sperm Motility and Morphology using Deep Learning and Handcrafted Features In MediaEval., 2019.
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 In MediaEval 2019, 27-29 October 2019, Sophia Antipolis, France., 2019.PDF icon medico_2019_vajira_1.pdf (1.43 MB)
S. Hicks, T. B. Haugen, P. Halvorsen and M. Riegler. Using Deep Learning to Predict Motility and Morphology of Human Sperm In MediaEval., 2019.
T. B. Haugen, S. Hicks, J. M. Andersen, O. Witczak, H. L. Hammer, R. Borgli and P. Halvorsen. VISEM: A Multimodal Video Dataset of Human Spermatozoa In 10th ACM Multimedia Systems Conference (MMSys)., 2019.PDF icon mmsys_dataset_sperm.pdf (4.31 MB)