Norwegian version
Jorunn Marie Andersen

Jorunn Marie Andersen

About

Jorunn M. Andersen is a biomedical laboratory scientist and has a PhD in biomedicine. She is head of the research group Reproductive Health in Men, in collaboration with Viola Lobert (TKD). Jorunn has extensive research experience in the field of male reproductive health, and her doctoral work dealt with sperm quality in the context of obesity, hormone levels and fatty acid composition in sperm. In recent years, sperm quality, semen analyses, and the development and use of artificial intelligence in laboratory analyses have been focus areas.

Jorunn has a strong commitment to teaching. She is program coordinator for the Master's program in Health and Technology at the Faculty of Health Sciences, and teaches at the specialization in biomedicine. She also teaches in several courses at the Bachelor of Biomedical Laboratory Sciences, with emphasis on the subject area of Medical Biochemistry. She is a member of the Advisory Committee for Medical Biochemistry, which is part of NITO and The Norwegian institute of biomedical Science.

Fields of study

Academic disciplines

Midical sciences   Computer technology   Clinical medical sciences

Research projects

Completed research projects

Scientific publications

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. 6 p. 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.

Hicks, Steven; Lasantha Bandara Thambawita, Vajira; 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/https://doi.org/10.1145/3394171.34

Hicks, Steven; Halvorsen, Pål ; Haugen, Trine B. ; Andersen, Jorunn Marie ; Witczak, Oliwia ; Hammer, Hugo Lewi ; Nguyen, Duc Tien Dang; Lux, Mathias; Riegler, Michael (2019). Medico multimedia task at mediaeval 2019. CEUR Workshop Proceedings. Vol. 2670.

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.





These publications are obtained from Cristin. The list may be incomplete