Regular enrolement
Selected topics in medical physics
Assoc. Prof. Dr. Matija Milanič, Prof. Dr. Igor Serša
Prof. Dr. Igor Serša
The program of lectures is created every year, mainly lecturers are from various research institutions whose work is related to the field of medicine, partly - in less than half of the cases - lecturers come from industry or medical institutions. All lecturers have in common the use of various physical skills in their professional work
• Vezana na konkreten program predavanj, se oblikuje sproti.
• Related to the concrete set of lectures and seminars, is determined according to the needs.
In the course, students learn about the latest research findings in the broader field of medical physics.
Knowledge and understanding:
Obtaining a broad knowledge in physics.
Application:
Transfer of the knowledge and experience between variuos areas in physics. Taking part in scientific discussions.
Reflection:
Critical assessment of the data found in the literature. Critical evaluation of lecturers.
Transferable skills:
Taking part in a discussion
Lectures.
Attending the lectures.
5 - 10, a student passes the exam if he is graded from 6 to 10
Igor Serša:
- SNOJ, Žiga, SERŠA, Igor, MATIČIČ, Urša, CVETKO, Erika, OMEJEC, Gregor. Nerve fascicle depiction at MR microscopy and high-frequency US with anatomic verification. Radiology, 2021, vol. 297, no. 3, str. 672-674. DOI: 10.1148/radiol.2020201910. [COBISS-SI-ID 32560131]
- SERŠA, Igor. Magnetic resonance microscopy of samples with translational symmetry with FOVs smaller than sample size. Scientific reports. 2021, vol. 11, 541-1-541-12. DOI: 10.1038/s41598-020-80652-z. [COBISS-SI-ID 46632451
- SERŠA, Igor. Comparison of driven equilibrium and standard spin-echo sequence in MR microscopy : analysis of signal dependence on RF pulse imperfection and diffusion. Journal of magnetic resonance. Feb. 2024, vol. 359, str. 1-11, DOI: 10.1016/j.jmr.2024.107624. [COBISS-SI-ID 181658627]
Matija Milanič:
- MANOJLOVIĆ, Teo, TOMANIČ, Tadej, ŠTAJDUHAR, Ivan, MILANIČ, Matija. Rapid extraction of skin physiological parameters from hyperspectral images using machine learning. Applied intelligence. [Print ed.]. 2023, vol. 53, iss. 13, str. 16519–16539, ilustr. ISSN 0924-669X. DOI: 10.1007/s10489-022-04327-0. [COBISS-SI-ID 133571587]
- STERGAR, Jošt, DOLENEC, Rok, KOJC, Nika, LAKOTA, Katja, PERŠE, Martina, TOMŠIČ, Matija, MILANIČ, Matija. Hyperspectral evaluation of peritoneal fibrosis in mouse models. Biomedical optics express. 2020, vol. 11, no. 4, str. 1991-2006, ilustr. ISSN 2156-7085. Repozitorij Univerze v Ljubljani – RUL, DOI: 10.1364/BOE.387837. [COBISS-SI-ID 3414372]