Shimkus, E.; Kružić, I.; Mladenović, S.; Perić, I.; Gunjača, M.J.; Tadić, T.; Dolić, K.; Anđelinović, Š.; Bašić, Ž.; Jerković, I.
Classifying Sex from MSCT-Derived 3D Mandibular Models Using an Adapted PointNet++ Deep Learning Approach in a Croatian Population. J. Imaging 2025, 11, 328.
https://doi.org/10.3390/jimaging11100328
AMA Style
Shimkus E, Kružić I, Mladenović S, Perić I, Gunjača MJ, Tadić T, Dolić K, Anđelinović Š, Bašić Ž, Jerković I.
Classifying Sex from MSCT-Derived 3D Mandibular Models Using an Adapted PointNet++ Deep Learning Approach in a Croatian Population. Journal of Imaging. 2025; 11(10):328.
https://doi.org/10.3390/jimaging11100328
Chicago/Turabian Style
Shimkus, Eva, Ivana Kružić, Saša Mladenović, Iva Perić, Marija Jurić Gunjača, Tade Tadić, Krešimir Dolić, Šimun Anđelinović, Željana Bašić, and Ivan Jerković.
2025. "Classifying Sex from MSCT-Derived 3D Mandibular Models Using an Adapted PointNet++ Deep Learning Approach in a Croatian Population" Journal of Imaging 11, no. 10: 328.
https://doi.org/10.3390/jimaging11100328
APA Style
Shimkus, E., Kružić, I., Mladenović, S., Perić, I., Gunjača, M. J., Tadić, T., Dolić, K., Anđelinović, Š., Bašić, Ž., & Jerković, I.
(2025). Classifying Sex from MSCT-Derived 3D Mandibular Models Using an Adapted PointNet++ Deep Learning Approach in a Croatian Population. Journal of Imaging, 11(10), 328.
https://doi.org/10.3390/jimaging11100328