Tomaž Vrtovec obtained his degree in electrical engineering from University of Ljubljana, Slovenia, in 2002, his PhD in electrical engineering from University of Ljubljana, Slovenia, in 2007, and his PhD in medicine from Utrecht University, the Netherlands, in 2011. During his studies, he was a visiting researcher at CSIRO, Australia, and University Medical Center Utrecht, the Netherlands. In 2019, he was elected to full professor at University of Ljubljana, Faculty of Electrical Engineering, Slovenia, where he was also appointed chair of the Department of Biomedical Engineering in 2023. His research interests within the Laboratory of Imaging Technologies include medical image analysis, biomedical engineering, and application development, specifically in the fields of spine surgery and radiotherapy planning. In the past, he was program committee member of MICCAI 2016, organization committee member of the CSI 2015 & 2016 and MSKI 2017 & 2018 MICCAI workshops, and committee chair for the best student paper award at IEEE ISBI 2016. He currently acts as program committee member of SPIE Medical Imaging: Image Processing, and as associate editor of Journal of Medical Imaging, Image Analysis & Stereology and Slovenian Medical Journal.

PhD in Medical Sciences (Utrecht University, Faculty of Medicine, the Netherlands)

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

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

Full Professor (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Associate Professor (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Assistant Professor (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Lecturer (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Visiting researcher at the Image Sciences Institute (University Medical Centre Utrecht, the Netherlands)

Teaching assistant (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Visiting researcher at the BioMedIA Lab (Commonwealth Scientific and Industrial Research Organisation - CSIRO, Sydney, Australia)

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

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

Final student award for outstanding academic achievements (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Student award for academic achievements (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Member of the organization 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)

Chair of the best student paper award committee - IEEE ISBI 2016 (13th IEEE International Symposium on Biomedical Imaging)

Member of the program committee - MICCAI 2016 (19th International Conference on Medical Image Computing and Computer-Assisted Intervention)

Member of the organization committee - Computational Methods and Clinical Applications for Spine Imaging, CSI 2015 and CSI 2016 (a workshop in conjunction with the 18th and 19th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 and MICCAI 2016)

Member of the program committee - Computational Methods and Clinical Applications for Spine Imaging, CSI 2013 and CSI 2014 (workshops in conjunction with the 16th and 17th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013 and MICCAI 2014)

Reviewer for international journals (e.g. IEEE TMI, IEEE TBME, MedIA, IJCARS, CMPB, PMB, MedPhys, Spine, etc.), reviewer for international conferences (e.g. MICCAI, IPMI, ICPR, ISBI, MIAR, etc.), reviewer for international grants (e.g. FHB Hong Kong, CRC Canada, NWO the Netherlands, etc.)

Collaborative research on organs-of-risk segmentation for radiotheraphy planning (ULFE-UCPH-2023)

Software development based on active shape model and deep learning algorithms for the application in spine medical image analysis (Raylytic GmbH)

Sepideh Amiri, Reza Karimzadeh, Tomaž Vrtovec, Erik Gudmann Steuble Brandt, Henrik S. Thomsen, Michael Brun Andersen, Christoph Felix Müller, Anders Bertil Rodell, Bulat Ibragimov: Centerline-guided reinforcement learning model for pancreatic duct identifications. Journal of Medical Imaging, 11(6):064002, 2024 [doi:10.1117/1.JMI.11.6.064002 ] [COBISS-ID: ]

Gašper Podobnik, Bulat Ibragimov, Elias Tappeiner, Chanwoong Lee, Jin Sung Kim, Zacharia Mesbah, Romain Modzelweski, Yihao Ma, Fan Yang, Mikołaj Rudecki, Marek Wodziński, Primož Peterlin, Primož Strojan, Tomaž Vrtovec: HaN-Seg: The head and neck organ-at-risk CT and MR segmentation challenge. Radiotherapy and Oncology, 198:110410, 2024 [doi:10.1016/j.radonc.2024.110410 ] [COBISS-ID:202738179 ]

Sepideh Amiri, Tomaž Vrtovec, Tamerlan Mustafaev, Christopher L. Deufel, Henrik S. Thomsen, Martin Hylleholt Sillesen, Erik Gudmann Steuble Brandt, Michael Brun Andersen, Christoph Felix Müller, Bulat Ibragimov: Reinforcement learning-based anatomical maps for pancreas sub-region and duct segmentation. Medical Physics, 51(10):7378-7392, 2024 [doi:10.1002/mp.17300 ] [COBISS-ID:202626819 ]

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 ] [COBISS-ID:181670147 ]

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 ] [COBISS-ID:136767491 ]