Publications

2019

  1. Jacobson, L. E. O., & Lind, W. (2019). Developing a Supply and Demand Planning Optimization-Case study from the Precast Industry. https://scholar.google.com/citations?view_op=view_citation&user=MAJxrGcAAAAJ&citation_for_view=MAJxrGcAAAAJ:u-x6o8ySG0sC

2020

  1. Jacobson, L. E. O., & Berneblad, P. (2020). Test of Pecking Order Theory-Empirical evidence from Europe. https://scholar.google.com/citations?view_op=view_citation&user=MAJxrGcAAAAJ&citation_for_view=MAJxrGcAAAAJ:u5HHmVD_uO8C

2023

  1. Jacobson, L. E. O., Hopgood, A. A., Bader-El-Den, M., Tamma, V., & Prendergast, D. (2023). Hybrid system for prostate MR image segmentation using expert knowledge and machine learning. International Conference on Innovative Techniques and Applications of …. https://scholar.google.com/citations?view_op=view_citation&user=MAJxrGcAAAAJ&citation_for_view=MAJxrGcAAAAJ:2osOgNQ5qMEC
  2. Jacobson, L. E. O., Hopgood, A. A., Bader-El-Den, M., Tamma, V., & Prendergast, D. (2023). Artificial Intelligence for Medical Image Interpretation Using Expert Knowledge and Machine Learning. 2023 IEEE Conference on Artificial Intelligence (CAI), 122–123. https://scholar.google.com/citations?view_op=view_citation&user=MAJxrGcAAAAJ&citation_for_view=MAJxrGcAAAAJ:9yKSN-GCB0IC

2024

  1. Jacobson, L. E. O., Bader-El-Den, M., Hopgood, A. A., Masum, S., & Tamma, V. (2024). Adaptive CNN Method for Prostate MR Image Segmentation Using Ensemble Learning. International Conference on Innovative Techniques and Applications of …. https://scholar.google.com/citations?view_op=view_citation&user=MAJxrGcAAAAJ&citation_for_view=MAJxrGcAAAAJ:qjMakFHDy7sC

2025

  1. Jacobson, L. E. O., Bader-El-Den, M., Maurya, L., Hopgood, A. A., & Tamma, V. (2025). Prostate MR image segmentation using a multi-stage network approach. International Urology and Nephrology, 1–29. https://scholar.google.com/citations?view_op=view_citation&user=MAJxrGcAAAAJ&citation_for_view=MAJxrGcAAAAJ:IjCSPb-OGe4C
  2. Jacobson, L. E. O. (2025). Integrated AI Techniques for Prostate MRI Segmentation and Intradialytic Hy-potension Prediction in Urological Care. https://scholar.google.com/citations?view_op=view_citation&user=MAJxrGcAAAAJ&citation_for_view=MAJxrGcAAAAJ:UeHWp8X0CEIC

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