PhD in Electrical Enginnering (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

BSc in Computer Science and Cybernetics (Kazan State University, Faculty of Computer Science and Cybernetics, Russia)

Scientific associate (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Associate Professor (University of Copenhagen, Department of Computer Science, Denmark)

Assistant Professor (University of Copenhagen, Department of Computer Science, Denmark)

Researcher at the Laboratory of Imaging Technologies (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Associate Professor (University of Copenhagen, Department of Computer Science, Denmark)

Assistant Professor (University of Copenhagen, Department of Computer Science, Denmark)

Senior Research Scientist (Auris Health Inc., San Francisco, USA)

Postdoc (Stanford University, Laboratory of Artificial Intelligence in Medicine, USA)

Researcher at the Laboratory of Imaging Technologies (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Junior researcher at the Laboratory of Imaging Technologies (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Member of the program committee - Computational Methods and Clinical Applications in Musculoskeletal Imaging, MSKI 2017 and MSKI 2018 (a workshop in conjunction with the 20th and 21st International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2017 and MICCAI 2018)

Gašper Podobnik, Bulat Ibragimov, Primož Peterlin, Primož Strojan, Tomaž Vrtovec: vOARiability: interobserver and intermodality variability analysis in OAR contouring from head and neck CT and MR images. Medical Physics, 51(3):2175-2186, 2024 [doi:10.1002/mp.16924 ]

Gašper Podobnik, Primož Strojan, Primož Peterlin, Bulat Ibragimov, Tomaž Vrtovec: HaN-Seg: The head and neck organ-at-risk CT & MR segmentation dataset. Medical Physics, 50(3):1917-1927, 2023 [doi:10.1002/mp.16197 ]

Danis Alukaev, Semen Kiselev, Tamerlan Mustafaev, Ahatov Ainur, Bulat Ibragimov, Tomaž Vrtovec: A deep learning framework for vertebral morphometry and Cobb angle measurement with external validation. European Spine Journal, 31(8):2115-2124, 2022 [doi:10.1007/s00586-022-07245-4 ]

Imad Eddine Ibrahim Bekkouch, Bulat Maksudov, Semen Kiselev, Tamerlan Mustafaev, Tomaž Vrtovec, Bulat Ibragimov: Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification. Medical Image Analysis, 78:102417, 2022 [doi:10.1016/j.media.2022.102417 ]

Tomaž Vrtovec, Bulat Ibragimov: Spinopelvic measurements of sagittal balance with deep learning: systematic review and critical evaluation. European Spine Journal, 31(8):2031-2045, 2022 [doi:10.1007/s00586-022-07155-5 ]