About
I am a biomedical laboratory scientist with a PhD in Biomedicine from the University of Oslo. I am leading the research group Male Reproductive Health, in collaboration with Viola Lobert (TKD). I have extensive research experience in the field and have participated in projects within semen analysis, lifestyle factors and sperm quality, and testicular cancer. With my background as a biomedical laboratory scientist, I am also interested in quality work in laboratory analyses and in recent years I have led and participated in several projects in the development and use of artificial intelligence (AI) for sperm analyses. The goal has been to develop effective and explainable AI models with high analytical quality. In the field of testicular cancer, I am recently involved in a project where we investigate the use of organoid models for mechanistic insight into the development of this form of cancer. The research projects I have participated in have resulted in several publications in renowned international journals and several openly available datasets.
At the Faculty of Health Sciences, I am the program coordinator for the Master's program in Health and Technology, where I also teach at the specialization in biomedicine. I also teach at the Bachelor's Programme in Biomedical Laboratory Sciences, with emphasis on medical biochemistry. I am also a member of the Advisory Committee for Medical Biochemistry, which is part of the Department of Biomedical Sciences (BFI) in NITO.
Research groups
Research projects
Ongoing research projects
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Development of an organoid model for insight into testicular cancer
This project develops a 3D human fetal testis organoid model to study how testicular cancer begins and how risk genes and environmental factors act.
Completed research projects
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Artificial intelligence - a novel tool in assisted reproduction technology
The project aims to improve the methods for selecting sperm and embryos and increase the chance of pregnancy and live-born children.
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Artificial intelligence – a novel tool in assisted reproduction technology
The project aims to improve the methods for selecting sperm and embryos and increase the chance of pregnancy and live-born children.
Publications and research
Scientific publications
Eilertsen, Heidi
;
Andersen, Jorunn Marie
;
Grimholt, Runa Marie
(2025).
Nøytrofile granulocytter fra Sysmex XN – kan vi stole på svaret når flagget «Blasts/Abn Lympho?» rapporteres?.
Bioingeniøren.
Vol. 7.
https://doi.org/https://forskning.bioingenioren.no
Iliceto, Mario;
Andersen, Jorunn Marie
; Stensen, Mette Haug;
Haugen, Trine B.
;
Witczak, Oliwia
(2024).
Association of Endogenous Seminal L-Carnitine Levels with Post-Thaw Semen Parameters in Humans.
Andrologia.
Vol. 2024.
https://doi.org/10.1155/2024/4327010
Berg, Arild Skarsfjord
;
Johansen, Safora
;
Lund, Anne
;
Riegler, Michael
;
Andersen, Jorunn Marie
(2023).
A Salutogenic Approach for Collaboration in Health and Technology.
Garg, Bishan Swarup (Ed.).
Health Promotion - Principles and Approaches.
IntechOpen.
https://doi.org/10.5772/intechopen.111866
Thambawita, Vajira L B; Hicks, Steven; Storås, Andrea; Nguyen, Thu;
Andersen, Jorunn Marie
;
Witczak, Oliwia
;
Haugen, Trine B.
;
Hammer, Hugo Lewi
;
Halvorsen, Pål
;
Riegler, Michael Alexander
(2023).
VISEM-Tracking, a human spermatozoa tracking dataset.
Scientific Data.
https://doi.org/10.1038/s41597-023-02173-4
Haugen, Trine B.
;
Witczak, Oliwia
; Hicks, Steven; Björndahl, Lars;
Andersen, Jorunn Marie
;
Riegler, Michael
(2023).
Sperm motility assessed by deep convolutional neural networks into WHO categories.
Scientific Reports.
Vol. 13.
https://doi.org/10.1038/s41598-023-41871-2
Iliceto, Mario; Stensen, Mette Haug;
Andersen, Jorunn Marie
;
Haugen, Trine B.
;
Witczak, Oliwia
(2022).
Levels of L-carnitine in human seminal plasma are associated with sperm fatty acid composition.
Asian Journal of Andrology (AJA).
Vol. 24.
https://doi.org/10.4103/aja2021107
Riegler, Michael Alexander
; Stensen, Mette Haug;
Witczak, Oliwia
;
Andersen, Jorunn Marie
; Hicks, Steven;
Hammer, Hugo Lewi
;
Delbarre, Erwan
;
Halvorsen, Pål
;
Yazidi, Anis
; Holst, Nicolai;
Haugen, Trine B.
(2021).
Artificial intelligence in the fertility clinic: status, pitfalls and possibilities.
Human Reproduction.
Vol. 36.
https://doi.org/10.1093/humrep/deab168
Vedal, Kristine; Svendsen, Victoria Haugen; Hansen, Ingeborg;
Andersen, Jorunn Marie
(2021).
Desentralisering av blodprøvetaking - økt opplæringsbehov i sykepleierstudiet?.
Bioingeniøren.
Vol. 56.
https://hdl.handle.net/11250/5133666
Hicks, Steven; Thambawita, Vajira Lasantha Bandara;
Hammer, Hugo Lewi
;
Haugen, Trine B.
;
Andersen, Jorunn Marie
;
Witczak, Oliwia
;
Halvorsen, Pål
;
Riegler, Michael
(2020).
ACM Multimedia BioMedia 2020 Grand Challenge Overview.
Qi, Guo-Jun; Ricci, Elisa; Zhang, Zhengyou; Zimmermann, Roger (Ed.).
MM '20: Proceedings of the 28th ACM International Conference on Multimedia. p. 4655-4658.
Association for Computing Machinery (ACM).
https://doi.org/10.1145/3394171.3416287
Hicks, Steven;
Halvorsen, Pål
;
Haugen, Trine B.
;
Andersen, Jorunn Marie
;
Witczak, Oliwia
;
Hammer, Hugo Lewi
; Nguyen, Duc Tien Dang; Lux, Mathias;
Riegler, Michael
(2019).
Predicting sperm motility and morphology using deep learning and handcrafted features.
CEUR Workshop Proceedings.
Vol. 2670.
https://hdl.handle.net/11250/4171603
