Žiga Bizjak [53941]

1. 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.]. 2023, vol. , iss. , [article no.] 020905, str. 1-7, ilustr. ISSN 1759-8486. https://jnis.bmj.com/content/early/2023/10/12/jnis-2023-020905, DOI: 10.1136/jnis-2023-020905. [COBISS.SI-ID 169460739]

2. 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]

3. 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, Digitalna knjižnica Slovenije - dLib.si. [COBISS.SI-ID 66279427]

4. 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, Repozitorij Univerze v Ljubljani – RUL, DOI: 10.3389/fphys.2021.644349. [COBISS.SI-ID 69012739]

5. 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]

6. CHOI, June Ho, BIZJAK, Žiga, PARK, Wonhyoung, SOBISCH, Jannik, ŠPICLIN, Žiga. Deep shape based intracranial aneurysm rupture prediction. V: CHEN, Weijie (ur.), ASTLEY, Susan M. (ur.). 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]

7. SOBISCH, Jannik, BIZJAK, Žiga, CHIEN, Aichi, ŠPICLIN, Žiga. Automated intracranial vessel labeling with learning boosted by vessel connectivity, radii and spatial context. V: BEKKERS, Erik (ur.), WOLTERINK, Jelmer M. (ur.), AVILES-RIVERO, Angelica (ur.). 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]

8. BIZJAK, Žiga, CHOI, June Ho, PARK, Wonhyoung, ŠPICLIN, Žiga. Deep learning based modality-independent intracranial aneurysm detection. V: WANG, Linwei (ur.), 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]

9. BIZJAK, Žiga, CHIEN, Aichi, BURNIK, Iza, ŠPICLIN, Žiga. Novel dataset and evaluation of state-of-the-art vessel segmentation methods. V: COLLIOT, Olivier (ur.), IŠGUM, Ivana (ur.). 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]

10. BIZJAK, Žiga, LIKAR, Boštjan, PERNUŠ, Franjo, ŠPICLIN, Žiga. Modality agnostic intracranial aneurysm detection through supervised vascular surface classification. V: MAZUROWSKI, Maciej A. (ur.), DRUKKER, Karen (ur.). 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]

11. BIZJAK, Žiga, LIKAR, Boštjan, PERNUŠ, Franjo, ŠPICLIN, Žiga. Vascular surface segmentation for intracranial aneurysm isolation and quantification. V: MARTEL, Anne L. (ur.), 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]

12. BIZJAK, Žiga, JERMAN, Tim, LIKAR, Boštjan, PERNUŠ, Franjo, CHIEN, Aichi, ŠPICLIN, Žiga. Registration based detection and quantification of intracranial aneurysm growth. V: MORI, Kensaku (ur.), HAHN, Horst K. (ur.). 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]

13. BIZJAK, Žiga, KAMBIČ, Tim, RAVNIKAR, Robi, PANIĆ, Damjan, PODOBNIK, Janez, MIHELJ, Matjaž, MUNIH, Marko, ŠLAJPAH, Sebastjan. Haptično vstavljanje igle z uporabo teleoperacije. V: ŽEMVA, Andrej (ur.), TROST, Andrej (ur.). 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, Digitalna knjižnica Slovenije - dLib.si. [COBISS.SI-ID 12192852]

14. BIZJAK, Žiga, BRECL JAKOB, Gregor, ŠPICLIN, Žiga. Design and validation of an autonomous nine hole peg test. V: 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]

15. 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]

16. 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]

17. 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]

18. JEMEC, Jaka. Avtonomna naprava za test devetih zatičev : magistrsko delo : magistrski študijski program druge stopnje Elektrotehnika. Ljubljana: [J. Jemec], 2023. XXVIII, 82 str., ilustr. Repozitorij Univerze v Ljubljani – RUL. [COBISS.SI-ID 142479363]

19. 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. Repozitorij Univerze v Ljubljani – RUL. [COBISS.SI-ID 113809155]

20. 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. Repozitorij Univerze v Ljubljani – RUL. [COBISS.SI-ID 113884931]

21. 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. Repozitorij Univerze v Ljubljani – RUL. [COBISS.SI-ID 83851523]