Mette H. Stensen

SpesialistSenteret Pilestredet Park — Norway

Medicine · Health Sciences

11h-index472citations29works2.32yr avg
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Research Topics

Reproductive Biology and Fertility(13), Ovarian function and disorders(6), Assisted Reproductive Technology and Twin Pregnancy(6), Sperm and Testicular Function(4), Explainable Artificial Intelligence (XAI)(4)

Publications28 total

Deep learning methods to forecasting human embryo development in time-lapse videos
PLoS ONE·2025· 1 citedOpen Access
P-293 Cell exclusions occurring at the 6-cell or 8-cell stage may be more detrimental to reproductive success than other cleavage stages
Human Reproduction·2025Open Access
Merging synthetic and real embryo data for advanced AI predictions
Scientific Reports·2025· 6 citedOpen Access
Merging synthetic and real embryo data for advanced AI predictions
arXiv (Cornell University)·2024· 1 citedOpen Access
Exploring Embryo Development at the Morula Stage - an AI-based Approach to Determine Whether to Use or Discard an Embryo
2024· 1 cited
Deep learning methods to forecasting human embryo development in time-lapse videos
2024· 5 citedOpen Access
Association of Endogenous Seminal L‐Carnitine Levels with Post‐Thaw Semen Parameters in Humans
Andrologia·2024· 2 citedOpen Access
Altered morphokinetics and differential reproductive outcomes associated with cell exclusion events in human embryos
Reproductive BioMedicine Online·2023· 7 citedOpen Access
Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos
Big Data and Cognitive Computing·2023· 9 citedOpen Access
Explainable Artificial Intelligence for Human Embryo Cell Cleavage Stages Analysis
2022· 6 citedOpen Access
Levels of L-carnitine in human seminal plasma are associated with sperm fatty acid composition
Asian Journal of Andrology·2022· 11 citedOpen Access
Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure
Communications in computer and information science·2022Open Access
Detecting Human Embryo Cleavage Stages Using YOLO V5 Object Detection Algorithm
Communications in computer and information science·2022· 6 citedOpen Access
Corrigendum. P–260 Towards better explainable deep learning models for embryo selection in ART
Human Reproduction·2021Open Access
P–029 Identification of spermatozoa by unsupervised learning from video data
Human Reproduction·2021· 1 cited
P–260 Towards better explainable deep learning models for embryo selection in ART
Human Reproduction·2021
Artificial intelligence in the fertility clinic: status, pitfalls and possibilities
Human Reproduction·2021· 80 citedOpen Access
DeepSynthBody: the beginning of the end for data deficiency in medicine
2021· 14 cited
Ovarian ageing: Clinical and molecular derangements during reproductive ageing in women - a new glimpse of an old problem
Duo Research Archive (University of Oslo)·2016Open Access
Fragmentation of human cleavage-stage embryos is related to the progression through meiotic and mitotic cell cycles
Fertility and Sterility·2014· 27 citedOpen Access
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Frequent Co-authors

Hugo L. Hammer(12), Trine B. Haugen(12), Michael A. Riegler(11), Akriti Sharma(8), Mario Iliceto(7), Erwan Delbarre(6), Radhika Kakulavarapu(5), Oliwia Witczak(4), Péter Fedorcsák(4), Tom Tanbo(4), Alexandru Dorobanțiu(4), Jorunn M. Andersen(3), Steven A. Hicks(3), Ritsa Storeng(3), Pål Halvorsen(3), Vajira Thambawita(3), Jarle Aarbakke(2), Thomas Åbyholm(2), Vajira Thambawita(2), Oriana Presacan(2)