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Objave v letu '2024'

Izvirni znanstveni članki

Žiga Bizjak, Žiga Špiclin

Aneurysm growth evaluation and detection: a computer-assisted follow-up MRA analysis

Scientific Reports, 14:19609, 2024

JCR faktor vpliva: 3,8 (2024) -- Najboljša kategorija (angl.): 25/134 multidisciplinary sciences -- Kvartil: 1

Izvirni znanstveni članki

Andrej Planinc, Nina Špegel, Zala Podobnik, Uroš Šinigoj, Petra Skubic, June Ho Choi, Wonhyoung Park, Tina Robič, Nika Tabor, Leon Jarabek, Žiga Špiclin, Žiga Bizjak

Assessing accuracy and consistency in intracranial aneurysm sizing: human expertise vs. artificial intelligence

Scientific Reports, 14:16080, 2024

JCR faktor vpliva: 3,8 (2024) -- Najboljša kategorija (angl.): 25/134 multidisciplinary sciences -- Kvartil: 1

Izvirni znanstveni članki

Lara Dular, Žiga Špiclin

BASE: brain age standardized evaluation

NeuroImage, 285:120469, 2024

JCR faktor vpliva: 4,7 (2023) -- Najboljša kategorija (angl.): 1/15 neuroimaging -- Kvartil: 1

Izvirni znanstveni članki

Domen Rački, Dejan Tomaževič, Danijel Skočaj

Coupling of unsupervised and supervised deep learning-based approaches for surface anomaly detection

Journal of Electronic Imaging, 33(3):031207, 2024

JCR faktor vpliva: 1,0 (2023) -- Najboljša kategorija (angl.): 285/352 engineering, electrical & electronic -- Kvartil: 4

Izvirni znanstveni članki

Lara Dular, Franjo Pernuš, Žiga Špiclin

Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction models

Computers in Biology and Medicine, 173:108320, 2024

JCR faktor vpliva: 7,0 (2023) -- Najboljša kategorija (angl.): 2/65 mathematical & computational biology -- Kvartil: 1

Izvirni znanstveni članki

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

JCR faktor vpliva: 4,9 (2023) -- Najboljša kategorija (angl.): 20/204 radiology, nuclear medicine & medical imaging -- Kvartil: 1

Izvirni znanstveni članki

Maj Jožef, Igor Locatelli, Gregor Brecl Jakob, Lina Savšek, Katarina Šurlan Popovič, Žiga Špiclin, Uroš Rot, Mitja Kos

Psychometric evaluation of the 5-item Medication Adherence Report Scale questionnaire in persons with multiple sclerosis

PLoS One, 19(3):e0294116, 2024

JCR faktor vpliva: 2,9 (2023) -- Najboljša kategorija (angl.): 31/134 multidisciplinary sciences -- Kvartil: 1

Izvirni znanstveni članki

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, 2024

JCR faktor vpliva: 3,2 (2023) -- Najboljša kategorija (angl.): 46/204 radiology, nuclear medicine & medical imaging -- Kvartil: 1

Izvirni znanstveni članki

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

JCR faktor vpliva: 3,2 (2023) -- Najboljša kategorija (angl.): 46/204 radiology, nuclear medicine & medical imaging -- Kvartil: 1

Prispevki na konferencah

Domen Ocepek, Gašper Podobnik, Bulat Ibragimov, Tomaž Vrtovec

Deep implicit statistical shape models for 3D lumbar vertebrae image delineation

SPIE Medical Imaging 2024: Image Processing, Feb 18-22, San Diego, CA, USA (O. Colliot, J. Mitra, Eds.), 12926:1292638, 2024

Prispevki na konferencah

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

Prispevki na konferencah

June H. Choi, Žiga Bizjak, Wonhyoung Park, Jannik Sobisch, Žiga Špiclin

Deep shape based intracranial aneurysm rupture prediction

SPIE Medical Imaging 2024: Computer-Aided Diagnosis, Feb 18-22, San Diego, CA, USA (W. Chen, S.M. Astley, Eds.), 12927:129272I, 2024

Prispevki na konferencah

Peter Naglič, Zuhail P. Kottoli, Matjaž Humar

Digital holography with embedded microlasers: a preliminary study

SPIE Photonics West 2024: Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XXII, Jan 27-Feb 1, San Francisco, CA, USA (A. Tarnok, J.P. Houston, Eds.), 12846:1284609, 2024

Prispevki na konferencah

Peter Naglič, Ernesto Pini, Lorenzo Pattelli, Miran Bürmen

Massively parallel Monte Carlo simulations of light propagation in anisotropic scattering media by open-source PyXOpto engine

SPIE Photonics West 2024: Biomedical Applications of Light Scattering XIV, Jan 27-Feb 1, San Francisco, CA, USA (A. Wax, V. Backman, Eds.), 12856:1285608, 2024

Prispevki na konferencah

Kamil Ibragimov, Gašper Podobnik, Teodor Trojner, Gregor Rečnik, Tomaž Vrtovec

Mid-sagittal cross-section identification for vertebra landmarking in MR spine images

SPIE Medical Imaging 2024: Image Processing, Feb 18-22, San Diego, CA, USA (O. Colliot, J. Mitra, Eds.), 12926:1292637, 2024

Prispevki na konferencah

Ana Marin, Peter Naglič, Miran Bürmen

Open-source protocol for preparation of turbid phantoms with microsphere suspensions

SPIE Photonics West 2024: Design and Quality for Biomedical Technologies XVII, Jan 27-Feb 1, San Francisco, CA, USA (G. Vargas, Ed.), 12833:1283305, 2024

Prispevki na konferencah

Ernesto Pini, Peter Naglič, Miran Bürmen, Alexander Gatto, Henrik Schäfer, Diederik Wiersma, Lorenzo Pattelli

Time-resolved light transport in structurally anisotropic media

SPIE Photonics West 2024: Biomedical Applications of Light Scattering XIV, Jan 27-Feb 1, San Francisco, CA, USA (A. Wax, V. Backman, Eds.), 12856:1285606, 2024

Prispevki na konferencah

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

Povzetki prispevkov na konferencah

Andraž Mehle, Domen Kitak, Mila Kovačević, Ana Baumgartner, Dejan Tomaževič

Advancing machine vision for high-shear granulation: building a deep learning model for formulation-independent in-process monitoring

APACT USA Conference 2024, Apr 23-25, New Brunswick, NJ, USA, 2024

Doktorske disertacije

Žiga Bizjak

Artificial intelligence based analysis of cerebral angiograms for aneurysm diagnosis and prognosis

PhD thesis: University of Ljubljana, Faculty of Electrical Engineering, Slovenia (Ž. Špiclin), 2024

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