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Žiga Bizjak

Personal bibliography for the period 2018-2026

2018

1. BIZJAK, Žiga, KAMBIČ, Tim, RAVNIKAR, Robi, PANIĆ, Damjan, PODOBNIK, Janez, MIHELJ, Matjaž, MUNIH, Marko, ŠLAJPAH, Sebastjan. Haptično vstavljanje igle z uporabo teleoperacije. In: ŽEMVA, Andrej (ed.), TROST, Andrej (ed.). Zbornik sedemindvajsete mednarodne Elektrotehniške in računalniške konference ERK 2018 = Proceedings of the Twenty-seventh International Electrotechnical and Computer Science Conference ERK 2018. ERK 2018, Portorož, Slovenija, 17.-18. september 2018. Ljubljana: Društvo Slovenska sekcija IEEE, 2018. Str. 155-158, ilustr. Zbornik ... Elektrotehniške in računalniške konference (Online), 27. ISSN 2591-0442. http://erk.fe.uni-lj.si/2018/ERK18.pdf, http://www.dlib.si/details/URN:NBN:SI:DOC-HPVCFEEB. [COBISS.SI-ID 12192852]

2019

2. BIZJAK, Žiga, JERMAN, Tim, LIKAR, Boštjan, PERNUŠ, Franjo, CHIEN, Aichi, ŠPICLIN, Žiga. Registration based detection and quantification of intracranial aneurysm growth. In: MORI, Kensaku (ed.), HAHN, Horst K. (ed.). Medical Imaging 2019 : computer-aided diagnosis. Medical Imaging 2019, 16-21 February 2019, San Diego, California, USA. [Bellingham: SPIE], 2019. Str. 1-11, ilustr. Proceedings of SPIE, vol. 10950. ISSN 0277-786X. http://spie.org/Publications/Proceedings/Paper/10.1117/12.2512781?origin_id=x4325&start_volume_number=10900, DOI: 10.1117/12.2512781. [COBISS.SI-ID 12500564]
3. BIZJAK, Žiga. Zaznava in analiza morfologije intrakranialnih anevrizem v tridimenzionalnih angiografskih slikah : magistrsko delo. Ljubljana: [Ž. Bizjak], 2019. XVIII, 91 str., ilustr. https://repozitorij.uni-lj.si/IzpisGradiva.php?id=108181. [COBISS.SI-ID 12591956]

2020

4. BIZJAK, Žiga, LIKAR, Boštjan, PERNUŠ, Franjo, ŠPICLIN, Žiga. Vascular surface segmentation for intracranial aneurysm isolation and quantification. In: MARTEL, Anne L. (ed.), et al. Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 : 23rd International Conference Lima, Peru, October 4-8, 2020 : proceedings. Pt. VI. Cham: Springer, cop. 2020. Str. 128-137, ilustr. Lecture notes in computer science (Internet), 12266. ISBN 978-3-030-59725-2. ISSN 1611-3349. https://link.springer.com/chapter/10.1007/978-3-030-59725-2_13, DOI: 10.1007/978-3-030-59725-2_13. [COBISS.SI-ID 33250307]

2021

5. BIZJAK, Žiga, PERNUŠ, Franjo, ŠPICLIN, Žiga. Deep shape features for predicting future intracranial aneurysm growth. Frontiers in physiology. Jul. 2021, vol. 12, article 644349, str. 1-10, ilustr. ISSN 1664-042X. https://www.frontiersin.org/articles/10.3389/fphys.2021.644349/full, Repository of the University of Ljubljana – RUL , DOI: 10.3389/fphys.2021.644349. [COBISS.SI-ID 69012739]
6. BIZJAK, Žiga, LIKAR, Boštjan, PERNUŠ, Franjo, ŠPICLIN, Žiga. Modality agnostic intracranial aneurysm detection through supervised vascular surface classification. In: MAZUROWSKI, Maciej A. (ed.), DRUKKER, Karen (ed.). Medical Imaging 2021 : computer-aided diagnosis : 15-20 February 2021, online only, California, United States. [Bellingham: SPIE], 2021. Str. 1-8, ilustr. Proceedings of SPIE, vol. 11597. ISSN 0277-786X. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11597/115970O/Modality-agnostic-intracranial-aneurysm-detection-through-supervised-vascular-surface-classification/10.1117/12.2580868.short, DOI: 10.1117/12.2580868. [COBISS.SI-ID 53460739]
7. BIZJAK, Žiga, ŠPICLIN, Žiga. Napovedovanje prihodnje rasti intrakranialnih anevrizem. Elektrotehniški vestnik. [Slovenska tiskana izd.]. 2021, letn. 88, št. 3, str. 136-140, ilustr. ISSN 0013-5852. https://ev.fe.uni-lj.si/3-2021/Bizjak.pdf, http://www.dlib.si/details/URN:NBN:SI:doc-9UD2A7B3. [COBISS.SI-ID 66279427]
8. BURNIK, Iza. Porazdeljeni globoki modeli za izločanje intrakranialnega žilja iz angiogramov : magistrsko delo : magistrski študijski program druge stopnje Elektrotehnika. Ljubljana: [I. Burnik], 2021. XXII, 106 str., ilustr. Repository of the University of Ljubljana – RUL . [COBISS.SI-ID 83851523]

2022

9. CHIEN, Aichi, BIZJAK, Žiga, ŠPICLIN, Žiga, VINUELA, Fernando, International Stroke Conference 2022, Poster Abstracts, Aneurysms and Vascular Malformations Posters I. Automated methods of aneurysm growth detection compared with clinical assessment and follow-up. Stroke. [Online ed.]. Feb. 2022, vol. 53, iss. suppl. 1, 1 spletni vir. ISSN 1524-4628. https://www.ahajournals.org/doi/abs/10.1161/str.53.suppl_1.WP10, DOI: 10.1161/str.53.suppl_1.WP10. [COBISS.SI-ID 149238787]
10. CHIEN, Aichi, ŠPICLIN, Žiga, BIZJAK, Žiga, NAEL, Kambiz. Computer-assisted aneurysm growth evaluation and detection (AGED) : comparison with clinical aneurysm follow-up. Journal of blood disorders & transfusion. iss. 8, no. 1000517, str. 1-7, ilustr. ISSN 2155-9864. https://www.walshmedicalmedia.com/open-access/computerassisted-aneurysm-growth-evaluation-and-detection-aged-comparison-with-clinical-aneurysm-followup-113626.html, DOI: 10.4172/2155-9864.22.13.517. [COBISS.SI-ID 126937347]
11. BIZJAK, Žiga, CHOI, June Ho, PARK, Wonhyoung, ŠPICLIN, Žiga. Deep learning based modality-independent intracranial aneurysm detection. In: WANG, Linwei (ed.), et al. Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 : 25th International Conference Singapore, September 18-22, 2022 : proceedings. Pt. III. Cham: Springer, cop. 2022. Str. 760-769, ilustr. Lecture notes in computer science (Internet), 13433. ISBN 978-3-031-16437-8. ISSN 1611-3349. https://link.springer.com/chapter/10.1007/978-3-031-16437-8_73, DOI: 10.1007/978-3-031-16437-8_73. [COBISS.SI-ID 148438531]
12. KOS, Erazem. Grafični vmesnik za računalniško-podprto [!] analizo angiografskih slik z modeli globokega učenja : magistrsko delo : magistrski študijski program druge stopnje Elektrotehnika. Ljubljana: [E. Kos], 2022. XXIV, 97 str., ilustr. Repository of the University of Ljubljana – RUL . [COBISS.SI-ID 113809155]
13. BIZJAK, Žiga, CHIEN, Aichi, BURNIK, Iza, ŠPICLIN, Žiga. Novel dataset and evaluation of state-of-the-art vessel segmentation methods. In: COLLIOT, Olivier (ed.), IŠGUM, Ivana (ed.). Medical Imaging 2022 : image processing : 20 February - 28 March 2022, San Diego, California, United States. Pt. 1. Bellingham: SPIE, cop. 2022. Str. 1-10, ilustr. Proceedings of SPIE, vol. 12032, Progress in biomedical optics and imaging, vol. 23, no. 48. ISBN 978-1-51064-940-8. ISSN 0277-786X, ISSN 1605-7422. DOI: 10.1117/12.2611756. [COBISS.SI-ID 109106179]
14. TASIČ, Jan. Označevanje žilja Willisovega kroga v angiografskih slikah z modeli globokega učenja : magistrsko delo : magistrski študijski program druge stopnje Elektrotehnika. Ljubljana: [J. Tasič], 2022. XX, 76 str., ilustr. Repository of the University of Ljubljana – RUL . [COBISS.SI-ID 113884931]

2023

15. SOBISCH, Jannik, BIZJAK, Žiga, CHIEN, Aichi, ŠPICLIN, Žiga. Automated intracranial vessel labeling with learning boosted by vessel connectivity, radii and spatial context. In: BEKKERS, Erik (ed.), WOLTERINK, Jelmer M. (ed.), AVILES-RIVERO, Angelica (ed.). Geometric deep learning in medical image analysis : 18 November 2022, Amsterdam, The Netherlands : [proceedings of the First International Workshop on Geometric Deep Learning in Medical Image Analysis]. [S. l.]: ML Research Press, cop. 2023. Str. 34-44, ilustr. Proceedings of Machine Learning Research, vol. 194. ISSN 2640-3498. https://proceedings.mlr.press/v194/sobisch22a.html. [COBISS.SI-ID 148402691]
16. CHIEN, Aichi, ŠPICLIN, Žiga, BIZJAK, Žiga, International Stroke Conference 2023, Poster abstracts, Aneurysms and Vascular Malformations Posters. Automated vessel identification in the circle of willis using deep learning models to assist AI based lesion detection in cerebral vasculature. Stroke. [Online ed.]. Feb. 2023, vol. 54, iss. suppl. 1, 1 spletni vir. ISSN 1524-4628. https://www.ahajournals.org/doi/abs/10.1161/str.54.suppl_1.WP16, DOI: 10.1161/str.54.suppl_1.WP16. [COBISS.SI-ID 149246211]
17. JEMEC, Jaka. Avtonomna naprava za test devetih zatičev : magistrsko delo : magistrski študijski program druge stopnje Elektrotehnika. Ljubljana: [J. Jemec], 2023. XXVIII, 82 str., ilustr. Repository of the University of Ljubljana – RUL . [COBISS.SI-ID 142479363]
18. BIZJAK, Žiga, BRECL JAKOB, Gregor, ŠPICLIN, Žiga. Design and validation of an autonomous nine hole peg test. In: MsMilan2023 : 9th Joint ECTRIMS-ACTRIMS meeting : 11-13 October 2023 : Milan, Italy : abstract book. [S. l.]: Sage Publishing, cop. 2023. Str. 752-753. Multiple sclerosis, vol. 29, iss. 3, supl. ISSN 1477-0970. https://journals.sagepub.com/doi/full/10.1177/13524585231196195, DOI: 10.1177/13524585231196195. [COBISS.SI-ID 169609219]
19. BIZJAK, Žiga, ŠPICLIN, Žiga. A systematic review of deep-learning methods for intracranial aneurysm detection in CT angiography. Biomedicines. [Online ed.]. Nov. 2023, vol. 11, iss. 11, [article no.] 2921, str. 1-14, ilustr. ISSN 2227-9059. https://www.mdpi.com/2227-9059/11/11/2921, DOI: 10.3390/biomedicines11112921. [COBISS.SI-ID 171325955]

2024

20. BIZJAK, Žiga, ROBIČ, Tina. Advancing dental caries detection in panoramic xrays : a two-step deep learning approach = Odkrivanje zobnega kariesa na ortopantomogramih : pristop v dveh korakih z uporabo globokega učenja. Informatica medica slovenica. 2024, letn. 29, št. 1, str. 1-7, ilustr. ISSN 1318-2129. https://ims.mf.uni-lj.si/wp-content/uploads/sites/14/2024/09/2024-1_1_BizjakRobic-1.pdf, http://www.dlib.si/details/URN:NBN:SI:doc-VBRA61WV. [COBISS.SI-ID 212814083]
21. BIZJAK, Žiga, ŠPICLIN, Žiga. Aneurysm growth evaluation and detection: a computer-assisted follow-up MRA analysis. Scientific reports. 2024, 14, article number 19609, 11 str., ilustr. ISSN 2045-2322. https://www.nature.com/articles/s41598-024-70453-z, Repository of the University of Ljubljana – RUL , DOI: 10.1038/s41598-024-70453-z. [COBISS.SI-ID 208225283]
22. BIZJAK, Žiga. Artificial intelligence based analysis of cerebral angiograms for aneurysm diagnosis and prognosis : PhD thesis. Ljubljana: [Ž. Bizjak], 2024. XL, 170 str., ilustr. Repository of the University of Ljubljana – RUL . [COBISS.SI-ID 200510211]
23. PLANINC, Andrej, ŠPEGEL, Nina, PODOBNIK, Zala, ŠINIGOJ, Uroš, SKUBIC, Petra, CHOI, June Ho, PARK, Wonhyoung, ROBIČ, Tina, TABOR, Nika, JARABEK, Leon, ŠPICLIN, Žiga, BIZJAK, Žiga. Assessing accuracy and consistency in intracranial aneurysm sizing : human expertise vs. artifcial intelligence. Scientific reports. 2024, 14, article number 16080, 11 str., ilustr. ISSN 2045-2322. https://www.nature.com/articles/s41598-024-65825-4, Repository of the University of Ljubljana – RUL , DOI: 10.1038/s41598-024-65825-4. [COBISS.SI-ID 204579587]
24. BIZJAK, Žiga, CHOI, June Ho, PARK, Wonhyoung, PERNUŠ, Franjo, ŠPICLIN, Žiga. Deep geometric learning for intracranial aneurysm detection : towards expert rater performance. Journal of neurointerventional surgery. [Online ed.]. Nov. 2023, vol. 16, iss. 11, [article no.] 020905, 7 str., ilustr. ISSN 1759-8486. https://jnis.bmj.com/content/16/11/1157, DOI: 10.1136/jnis-2023-020905. [COBISS.SI-ID 169460739]
25. CHOI, June Ho, BIZJAK, Žiga, PARK, Wonhyoung, SOBISCH, Jannik, ŠPICLIN, Žiga. Deep shape based intracranial aneurysm rupture prediction. In: CHEN, Weijie (ed.), ASTLEY, Susan M. (ed.). Medical imaging 2024 : computer-aided diagnosis : 19-22 February 2024 San Diego, California, United States. Bellingham: SPIE, cop. 2024. 8 str., ilustr. Proceedings of SPIE, the international society for optical engineering, vol. 12927, Progress in biomedical optics and imaging (Online), vol. 25, no. 51. ISBN 978-1-51-067159-1. ISSN 1996-756X, ISSN 2410-9045. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12927/3007178/Deep-shape-based-intracranial-aneurysm-rupture-prediction/10.1117/12.3007178.short, DOI: 10.1117/12.3007178. [COBISS.SI-ID 194163459]
26. BIZJAK, Žiga, ROBIČ, Tina. DentAge : deep learning for automated age prediction using panoramic dental X-ray images. Journal of forensic sciences. [Online ed.]. Nov. 2024, vol. 69, iss. 6, str. 2069-2074, ilustr. ISSN 1556-4029. https://onlinelibrary.wiley.com/doi/10.1111/1556-4029.15629, Repository of the University of Ljubljana – RUL , DOI: 10.1111/1556-4029.15629. [COBISS.SI-ID 208221955]
27. HAUPTMAN, Anamarija, PETROVČIČ, Maruša, ŠPICLIN, Žiga, BIZJAK, Žiga. Določanje ravnine za zaznavanje ovir in proste poti avtonomnega mobilnega robota. In: ŽEMVA, Andrej (ed.), TROST, Andrej (ed.). Zbornik triintridesete mednarodne Elektrotehniške in računalniške konference ERK 2024 = Proceedings of the 33rd International Electrotechnical and Computer Science Conference ERK 2024 : Portorož, Slovenija, 26. - 27. september 2024. Ljubljana: Slovenska sekcija IEEE: Fakulteta za elektrotehniko, 2024. Str. 563-566, ilustr. Zbornik ... Elektrotehniške in računalniške konference (Online), 33. ISSN 2591-0442. https://erk.fe.uni-lj.si/2024/papers/hauptman(dolocanje_ravnine).pdf. [COBISS.SI-ID 209321731]
28. HOŽIČ, David, PRIMŠAR, Blaž, ŠPICLIN, Žiga, BIZJAK, Žiga. Samodejno zaznavanje ovir z RGB+D kamero za vodenje avtonomnega mobilnega robota. In: ŽEMVA, Andrej (ed.), TROST, Andrej (ed.). Zbornik triintridesete mednarodne Elektrotehniške in računalniške konference ERK 2024 = Proceedings of the 33rd International Electrotechnical and Computer Science Conference ERK 2024 : Portorož, Slovenija, 26. - 27. september 2024. Ljubljana: Slovenska sekcija IEEE: Fakulteta za elektrotehniko, 2024. Str. 567-572, ilustr. Zbornik ... Elektrotehniške in računalniške konference (Online), 33. ISSN 2591-0442. https://erk.fe.uni-lj.si/2024/papers/hozic(samodejno_zaznavanje).pdf. [COBISS.SI-ID 209328899]
29. ŽIBERT, Nik. Vpogled v razmišljanje mladostnikov : raziskovanje otroškega razumevanja in percepcije umetne inteligence : diplomsko delo. Ljubljana: [N. Žibert], 2024. 1 spletni vir (1 datoteka PDF (98 str.)), ilustr. Repository of the University of Ljubljana – RUL . [COBISS.SI-ID 209815043]

2025

30. KUŠNIK, Blaž, BIZJAK, Žiga, ŠPICLIN, Žiga. D3 Algoritmi za togo poravnavo CT-MR in CT-CBCT slik. [S. l.: s. n.], 2025. 1 spletni vir (1 datoteka PDF (34 str.)), ilustr. https://cloud.lst.fe.uni-lj.si/f/83bc7ba590554c319943/, Repository of the University of Ljubljana – RUL . [COBISS.SI-ID 272792579]
31. ŽUKOVEC, Martin, KUŠNIK, Blaž, BIZJAK, Žiga, ŠPICLIN, Žiga. D4 Algoritmi deformabilne CT-CBCT poravnave. [S. l.: s. n.], 2025. 1 spletni vir (1 datoteka PDF (32 str.)), ilustr. https://cloud.lst.fe.uni-lj.si/f/06349c5014ef44798b5f/, Repository of the University of Ljubljana – RUL . [COBISS.SI-ID 272794371]
32. DOMAJNKO, Helena, ŠPICLIN, Žiga, BIZJAK, Žiga. Hibridni CNN-LSTM sistem globokega učenja za avtomatsko razvrščanje stanj testa devetih zatičev iz slike. In: ŽEMVA, Andrej (ed.), TROST, Andrej (ed.). Zbornik štiriintridesete mednarodne Elektrotehniške in računalniške konference ERK 2025 = Proceedings of the 34th International Electrotechnical and Computer Science Conference ERK 2025 : Portorož, Slovenija, 25. - 26. september 2025. Ljubljana: Slovenska sekcija IEEE: Fakulteta za elektrotehniko, 2025. Str. 451-456, ilustr. Zbornik ... Elektrotehniške in računalniške konference (Online), 34. ISSN 2591-0442. https://erk.fe.uni-lj.si/2025/papers/domajnko(hibridni_cnn_lstm).pdf. [COBISS.SI-ID 252678659]
33. CHOI, June Ho, SOBISCH, Jannik, KIM, Minwoo, PARK, Jung Cheol, AHN, Jae Sung, KWUN, Byung Duk, ŠPICLIN, Žiga, BIZJAK, Žiga, PARK, Wonhyoung. Prediction of intracranial aneurysm rupture from computed tomography angiography using an automated artificial intelligence framework. Computers in biology and medicine. Oct. 2025, vol. 197, part a, [article no.] 110965, 8 str., ilustr. ISSN 1879-0534. https://www.sciencedirect.com/science/article/pii/S0010482525013174, Repository of the University of Ljubljana – RUL , DOI: 10.1016/j.compbiomed.2025.110965. [COBISS.SI-ID 252732419]
34. BOBIĆ, Nina. Vrednotenje generativnega difuzijskega modela SynDiff in metrik kakovosti za sintezo medicinskih slik : magistrsko delo : magistrski študijski program druge stopnje Elektrotehnika. Ljubljana: [N. Bobić], 2025. 1 spletni vir (1 datoteka PDF (XXXIV, 201 str.)), ilustr. Repository of the University of Ljubljana – RUL . [COBISS.SI-ID 253434371]

2026

35. BOBIĆ, Nina, PRELOŽNIK, Domen, BIZJAK, Žiga, ŠPICLIN, Žiga. D10 Integrirano in validirano adaptivno planiranje. [S. l.: s. n.], 2026. 1 spletni vir (1 datoteka PDF (15 str.)), ilustr. https://cloud.lst.fe.uni-lj.si/f/1f5a289c62ef4b5bb994/, Repository of the University of Ljubljana – RUL . [COBISS.SI-ID 272855811]
36. BIZJAK, Žiga, ŠPICLIN, Žiga. D6 Sprožilci prilagoditev in modeli za podporo odločanju. [S. l.: s. n.], 2026. 1 spletni vir (1 datoteka PDF (16 str.)), ilustr. https://cloud.lst.fe.uni-lj.si/f/fdeb03c7dbca4e4aac3b/, Repository of the University of Ljubljana – RUL . [COBISS.SI-ID 272795395]
37. PRELOŽNIK, Domen, BIZJAK, Žiga, ŠPICLIN, Žiga. D9 Avtomatsko načrtovanje radioterapije. [S. l.: s. n.], 2026. 1 spletni vir (1 datoteka PDF (12 str.)), ilustr. https://cloud.lst.fe.uni-lj.si/f/4a96564ef54e468a8fe0/, Repository of the University of Ljubljana – RUL . [COBISS.SI-ID 272852995]
38. ZAJC, Žan, BIZJAK, Žiga, BRECL JAKOB, Gregor, BÜRMEN, Miran. Kinematični parametri roke kot kvantitativni označevalci invalidnosti in kognicije pri multipli sklerozi. In: POTOČNIK, Božidar (ed.). ROSUS 2026 : računalniška obdelava slik in njena uporaba v Sloveniji 2026 : zbornik 20. strokovne konference : [19. marec 2026, Maribor, Slovenija]. 1. izd. Maribor: Univerza v Mariboru, Univerzitetna založba: Fakulteta za elektrotehniko, računalništvo in informatiko, 2026. Str. 37-48, ilustr. ISBN 978-961-299-111-1. https://press.um.si/index.php/ump/sl/catalog/book/1022/chapter/1035, Repository of the University of Ljubljana – RUL , DOI: 10.18690/um.feri.4.2026.4. [COBISS.SI-ID 279499011]
39. ŽAGAR, Jan. Napovedovanje kakovosti sinteze medicinskih slik z metrikami kakovosti : magistrsko delo : magistrski študijski program druge stopnje Elektrotehnika. Ljubljana: [J. Žagar], 2026. 1 spletni vir (1 datoteka PDF (XXVI, 60 str.)), ilustr. Repository of the University of Ljubljana – RUL . [COBISS.SI-ID 282447107]
40. BIZJAK, Žiga, ŽAGAR, Jan, ŠPICLIN, Žiga. Visual fidelity-driven quality assessment of medical image translation. medRxiv. 20. Mar. 2026, 14 str., ilustr. ISSN 3067-2007. https://www.medrxiv.org/content/10.64898/2026.03.18.26348721v1, DOI: 10.64898/2026.03.18.26348721. [COBISS.SI-ID 272832515]
41. BIZJAK, Žiga, ŽAGAR, Jan, ŠPICLIN, Žiga. Visual fidelity–driven quality assessment of medical image translation. Scientific reports. 2026, [16] str., ilustr. ISSN 2045-2322. https://www.nature.com/articles/s41598-026-60570-2, DOI: 10.1038/s41598-026-60570-2. [COBISS.SI-ID 286977539]
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A source of bibliographic data: shared data base COBISS.SI/COBIB.SI, 9. 8. 2026