Jakob Heydorn Lagerlöf
Title: Affiliated Researcher School/office: School of Medical Sciences
Email:
Phone: +46 19 303000
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Research subject
Publications
Articles in journals |
Conference papers |
Articles in journals
- Waldén, M. , Aldrimer, M. , Heydorn Lagerlöf, J. , Eklund, M. , Grönberg, H. , Nordström, T. & Palsdottir, T. (2022). A Head-to-head Comparison of Prostate Cancer Diagnostic Strategies Using the Stockholm3 Test, Magnetic Resonance Imaging, and Swedish National Guidelines: Results from a Prospective Population-based Screening Study. European urology open science, 38, 32-39.
- Andersén, C. , Rydén, T. , Thunberg, P. & H. Lagerlöf, J. (2020). Deep learning based digitisation of prostate brachytherapy needles in ultrasound images. Medical physics, 47 (12), 6414-6420.
- Lagerlöf, J. H. , Rydén, T. & Bernhardt, P. (2018). A Parallel Computation Approach to Detailed 3D Modelling of the Complete Oxygen Distribution in Large Tumours. Cancer Studies and Therapeutics, 3 (4), 1-4.
Conference papers
- Andersén, C. , Rydén, T. , Thunberg, P. & Heydorn Lagerlöf, J. (2019). Presults for the aI-Brachy study: Utilizing deep learning for needle reconstruction in prostate brachytherapy. Paper presented at Nationellt möte om sjukhusfysik 2019, Falkenbergs strandbad, Sverige, 12-15 november, 2019..