Asst.
Luka Škrlj, M.Sc.

PhD Student

Position

2023 -- present
Researcher at the Laboratory of Imaging Technologies (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Last Publications

2025
Gašper Podobnik, Domen Ocepek, Luka Škrlj, Tomaž Vrtovec: Implicitly explicit: segmenting vertebrae with deep implicit statistical shape models. 4th International Workshop on Shape in Medical Imaging, ShapeMI 2024, Held in Conjunction with MICCAI 2024, Oct 6, Marrakesh, Morocco, Lecture Notes in Computer Science 15275:59-69, 2025 [doi:10.1007/978-3-031-75291-9_5 ] [COBISS-ID:214268163 ]
2024
Luka Škrlj, Matija Jelenc, Tomaž Vrtovec: Deep learning-based landmark localization in 3D CT images of the heart: method and dataset comparison. SPIE Medical Imaging 2024: Image Processing, Feb 18-22, San Diego, CA, USA (O. Colliot, J. Mitra, Eds.), 12926:129260F, 2024 [doi:10.1117/12.3006326 ] [COBISS-ID:192626179 ]
2024
Tomaž Vrtovec, Luka Škrlj: Zgodnje odkrivanje tveganja nenalezljivih bolezni pri bolnikih z rakom dojk na podlagi umetne inteligence (projekt ARTILLERY). 35. onkološki vikend: Umetna inteligenca v onkologiji in spremljanje bolnikov z rakom po zaključenem zdravljenju, 10. in 11. maj 2024, Portorož, Slovenija, 30-37, 2024 [https://www.onko-i.si/onkoloski-vikend ] [COBISS-ID:195414019 ]
2023
Luka Škrlj, Matija Jelenc, Tomaž Vrtovec: Detection of aortic cusp landmarks in computed tomography images with deep learning. 12th International Conference on Functional Imaging and Modeling of the Heart - FIMH 2023, Jun 19-22, Lyon, France (O. Bernard et al., Eds.), Lecture Notes in Computer Science 13958:301-309, 2023 [doi:10.1007/978-3-031-35302-4_31 ] [COBISS-ID:157219075 ]
2023
Luka Škrlj, Matija Jelenc, Franjo Pernuš, Tomaž Vrtovec: Zaznavanje oslonilnih točk aortne zaklopke v CT slikah s postopkom globokega učenja. 17. strokovna konferenca o računalniški obdelavi slik in njeni uporabi v Sloveniji - ROSUS 2023, 20. marec, Maribor, Slovenija (B. Potočnik, ur.), 61-68, 2023 [doi:10.18690/um.feri.4.2023.6 ] [COBISS-ID:146627587 ]