Žan Klaneček

1. KLANEČEK, Žan. Elektronske lastnosti ogljikovih nanocevk. Matrika : izbrane teme sodobne fizike in matematike. 2017, letn. 4, št. 2, 14 str. ISSN 2385-8567. http://matrika.fmf.uni-lj.si/letnik-4/stevilka-2/6_Zan_Klanecek.pdf, http://www.dlib.si/details/URN:NBN:SI:doc-ONA5FRR8. [COBISS.SI-ID 18135385]

2. SIMONČIČ, Urban (avtor, mentor), KLANEČEK, Žan (sodelavec pri raziskavi), PERME, Katja (sodelavec pri raziskavi), FURLAN, Aneja (sodelavec pri raziskavi), MLINARIČ, Matej (sodelavec pri raziskavi), ROGELJ, Luka (sodelavec pri raziskavi), OLENIK, Jaka (sodelavec pri raziskavi), LAMPRET, Rok (sodelavec pri raziskavi), FINŽGAR, Jernej Rudi (sodelavec pri raziskavi). INtegrirana aplikacija za Arhiviranje, Manipulacijo, Obdelavo in analizo medicinskih Slik : končno poročilo o doseženih ciljih : javni razpis Projektno delo z gospodarstvom in negospodarstvom v lokalnem in regionalnem okolju - Po kreativni poti do znanja 2016/2017. Ljubljana: Fakulteta za matematiko in fiziko, 2017. 10 str. [COBISS.SI-ID 139779075]

3. SMERKOL, Maj, ŠTEBLAJ, Jurij, KLANEČEK, Žan, MRAZ, Miha, ZIMIC, Nikolaj, MOŠKON, Miha. Computational analysis of parametric variability influence on the dynamics of synchronized cellular populations. V: REŽEN, Tadeja (ur.). Book of abstracts. 1st electronic ed. Ljubljana: University of Ljubljana, Faculty of Medicine, 2019. Str. 42. ISBN 978-961-267-161-7. http://cfgbc.mf.uni-lj.si/events/seminars/2019eracosysmed/docs/bookOfAbstracts_2019eracosysmed.pdf. [COBISS.SI-ID 1538250691]

4. KLANEČEK, Žan. Razvoj numeričnega modela laserske epilacije : magistrsko delo. Ljubljana: [Ž. Klaneček], 2019. 85 str., ilustr. https://repozitorij.uni-lj.si/IzpisGradiva.php?id=110385&lang=slv, Repozitorij Univerze v Ljubljani – RUL. [COBISS.SI-ID 3369572]

5. HUFF, Daniel T., KLANEČEK, Žan, STUDEN, Andrej, JERAJ, Robert. Framework for assessing the impact of CNN-based image segmentation on multi-step biomarker extraction. V: APS March Meeting 2021, Monday-Friday, March 15-19, 2021 : virtual meeting. College Park: American Physical Society, 2021. http://meetings.aps.org/Meeting/MAR21/Session/F15.8. [COBISS.SI-ID 57164547]

6. STUDEN, Andrej, JERAJ, Robert, MARIN, Ana, ŠEGEDIN, Barbara, VIDERGAR-KRALJ, Barbara, CASAR, Božidar, KUHELJ, Dimitrij, ŠTOKELJ, Eva, RAZDEVŠEK, Gašper, STERGAR, Jošt, STRAŠEK, Katja, ZALETEL, Katja, RIVETTI, Luciano, JENSTERLE, Luka, LEŽAIČ, Luka, ROGELJ, Luka, TROŠT, Maja, VRANKAR, Martina, TURK, Maruša, PEROVNIK, Matej, LOGAR, Mateja, OREHAR, Matic, MILANIČ, Matija, LUKAČ, Matjaž, KOLENC, Petra, TOMŠE, Petra, PETERLIN, Primož, DOLENEC, Rok, DIUZHENKO, Sergei, GABERŠČEK, Simona, TOMANIČ, Tadej, SIMONČIČ, Urban, KLANEČEK, Žan, DRAKULIĆ, Živa. Kaj nam slikanje lahko pove o okužbi z virusom SARS-CoV-2?. Mikrobiolog.si. dec. 2021, letn. 1, št. 3, str. 24-25, ilustr. ISSN 2784-4463. http://www.smd.si/wp-content/uploads/2022/02/3_mikrobiolog_si.pdf. [COBISS.SI-ID 139984131]

7. KLANEČEK, Žan, NAGANAWA, Shotaro, KIM, John, RIVETTI, Luciano, STUDEN, Andrej, YIP, Stephen S. F., JERAJ, Robert. Performance and robustness of machine learning-based radiomic COVID-19 severity prediction. V: APS March Meeting 2021, Monday-Friday, March 15-19, 2021 : virtual meeting. College Park: American Physical Society, 2021. https://meetings.aps.org/Meeting/MAR21/Session/H71.115. [COBISS.SI-ID 57161731]

8. JERAJ, Robert, KLANEČEK, Žan, STUDEN, Andrej, YIP, Stephen S. F. What can imaging tell us about SARS-Cov-2 infection. V: APS March Meeting 2021, Monday-Friday, March 15-19, 2021 : virtual meeting. College Park: American Physical Society, 2021. https://meetings.aps.org/Meeting/MAR21/Session/C58.3. [COBISS.SI-ID 139939331]

9. WANG, Yao Kuan, KLANEČEK, Žan, WAGNER, Tobias, COCKMARTIN, Lesley, MARSHALL, Nicholas, STUDEN, Andrej, JERAJ, Robert, BOSMANS, Hilde. Applying radiomics-based risk prediction models from digital mammography to digital breast tomosynthesis: a preliminary reliability survey. V: BOSMANS, Hilde (ur.), MARSHALL, Nicholas (ur.), VAN ONGEVAL, Chantal (ur.). 16th International Workshop on Breast Imaging, IWBI2022 : 22–25 May 2022, Leuven, Belgium. Bellingham: SPIE, 2022. 10 str. Proceedings of SPIE, the International Society for Optical Engineering, vol. 12286. ISBN 978-1-5106-5585-0. ISSN 1996-756X. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12286/1228614/Applying-radiomics-based-risk-prediction-models-from-digital-mammography-to/10.1117/12.2624599.short, DOI: 10.1117/12.2624599. [COBISS.SI-ID 150974723]

10. STUDEN, Andrej, KLANEČEK, Žan, KRAJC, Mateja, VRHOVEC, Miloš, HERTL, Kristijana, JERAJ, Robert, JARM, Katja, PREMOŠA, Luka, ŠTEFANIČ, Jan. Improvement of a radiomics based automated breast density algorithm evaluated on a time series of mammograms. V: APS March Meeting 2022, Monday-Friday, March 14-18, 2022, Chicago, USA. College Park: American Physical Society, 2022. https://meetings.aps.org/Meeting/MAR22/Session/Q29.10. [COBISS.SI-ID 108298499]

11. KLANEČEK, Žan, STUDEN, Andrej, VRHOVEC, Miloš, HERTL, Kristijana, KRAJC, Mateja, JARM, Katja, JERAJ, Robert, et al. Leveraging predictive uncertainty of a convolutional neural network to flag unacceptable segmentations. V: AAPM 2022 : 64th Annual Meeting & Exhibition : July 10-14, Washington, DC. Alexandria: AAPM. https://w4.aapm.org/meetings/2022AM/programInfo/programAbs.php?sid=10698&aid=66776. [COBISS.SI-ID 150959363]

12. HRIBERNIK, Nežka, HUFF, Daniel T., STUDEN, Andrej, ZEVNIK, Katarina, KLANEČEK, Žan, EMAMEKHOO, Hamid, ŠKALIČ, Katja, JERAJ, Robert, REBERŠEK, Martina (avtor, korespondenčni avtor). Quantitative imaging biomarkers of immune-related adverse events in immune-checkpoint blockade-treated metastatic melanoma patients : a pilot study. European journal of nuclear medicine and molecular imaging. [Print ed.]. 2022, vol. 49, iss. 6, str. 1857-1869, ilustr. ISSN 1619-7070. https://link.springer.com/article/10.1007/s00259-021-05650-3, DiRROS - Digitalni repozitorij raziskovalnih organizacij Slovenije, DOI: 10.1007/s00259-021-05650-3. [COBISS.SI-ID 91868163]
projekt: P30 CA014520; financer: UWCCC
projekt: T32 CA009206; financer: National Cancer Institute of the National Institutes of Health
projekt: P3-0321; financer: The Slovenian Research Agency

13. KLANEČEK, Žan, HERTL, Kristijana, JARM, Katja, KRAJC, Mateja, STUDEN, Andrej, VRHOVEC, Miloš, JERAJ, Robert, et al. A study on the impact of parameter settings on the biological reproducibility and sensitivity of extracted radiomic features from full field digital mammography images. V: Physics of Medical Imaging : 20-24 February 2022, San Diego, California, United States. [Bellingham]: SPIE, 2022. https://spie.org/medical-imaging/presentation/A-study-on-the-impact-of-parameter-settings-on-the/12031-77. [COBISS.SI-ID 102828291]

14. KLANEČEK, Žan, HERTL, Kristijana, JARM, Katja, KRAJC, Mateja, STUDEN, Andrej, VRHOVEC, Miloš, JERAJ, Robert, et al. Uncertainty estimation for deep learning-based image segmentation via Monte Carlo test-time dropout: application on pectoral muscle segmentation from full field digital mammography images. V: APS March Meeting 2022, Monday-Friday, March 14-18, 2022, Chicago, USA. College Park: American Physical Society, 2022. https://meetings.aps.org/Meeting/MAR22/Session/Q29.2. [COBISS.SI-ID 102789123]

15. MILANIČ, Matija, KLANEČEK, Žan. Vključevanje različne IKT z namenom približati študijsko vsebino študentom : predstavitev na posvetu Učitelji učiteljem: Novi trendi, izkušnje in izzivi v visokošolskem poučevanju, Fakulteta za elektrotehniko, Ljubljana, 16. 12. 2022. [COBISS.SI-ID 134964483]

16. JARM, Katja, ZADNIK, Vesna, BIRK, Mojca, VRHOVEC, Miloš, HERTL, Kristijana, KLANEČEK, Žan, STUDEN, Andrej, ŠVAL, Cveto, KRAJC, Mateja. Breast cancer risk assessment and risk distribution in 3,491 Slovenian women invited for screening at the age of 50 : a population-based cross-sectional study. Radiology and oncology. [Print ed.]. Sep. 2023, vol. 57, no. 3, str. 337-347, vi. ISSN 1318-2099. https://www.radioloncol.com/index.php/ro/article/view/4102/5173, DiRROS - Digitalni repozitorij raziskovalnih organizacij Slovenije, http://www.dlib.si/details/URN:NBN:SI:doc-SCFPCVC8, DOI: 10.2478/raon-2023-0039. [COBISS.SI-ID 167515651]

17. KLANEČEK, Žan, HREN, Rok, SIMONČIČ, Urban, TAŠIČ MUC, Blaž, LUKAČ, Matjaž, MILANIČ, Matija. Finite Element Method (FEM) modeling of laser-tissue interaction during hair removal. Applied sciences. Jul. 2023, vol. 13, art. no. 8553, 20 str., ilustr. ISSN 2076-3417. https://www.mdpi.com/2076-3417/13/14/8553/pdf, DOI: 10.3390/app13148553. [COBISS.SI-ID 159690755]

18. KLANEČEK, Žan, WAGNER, Tobias, WANG, Yao Kuan, COCKMARTIN, Lesley, MARSHALL, Nicholas, SCHOTT, Brayden, DEATSCH, Alison, VRHOVEC, Miloš, STUDEN, Andrej, BOSMANS, Hilde, JERAJ, Robert. Flagging of unacceptable segmentations: Monte Carlo dropout vs. Deep-Ensembles. V: APS March Meeting 2023 : Las Vegas (March 5-10, [2023]), virtual (March 20-22 [2023]). [College Park: APS. https://meetings.aps.org/Meeting/MAR23/Session/LL10.4. [COBISS.SI-ID 150980355]

19. VELLA, Daniele, LUKAČ, Matjaž, JERNEJČIČ, Urban, LUKAČ, Nejc, KLANEČEK, Žan, MILANIČ, Matija, JEZERŠEK, Matija. Measurements of hair temperature avalanche effect with alexandrite and Nd:YAG hair removal lasers. Lasers in surgery and medicine. Jan. 2023, vol. 55, iss. 1, str. 1-10, ilustr. ISSN 1096-9101. https://onlinelibrary.wiley.com/doi/full/10.1002/lsm.23622, Repozitorij Univerze v Ljubljani – RUL, DOI: 10.1002/lsm.23622. [COBISS.SI-ID 133764611]

20. KLANEČEK, Žan, STUDEN, Andrej, HERTL, Kristijana, JARM, Katja, KRAJC, Mateja, VRHOVEC, Miloš, JERAJ, Robert, et al. Uncertainty estimation for deep learning-based pectoral muscle segmentation via Monte Carlo dropout. Physics in Medicine & Biology. May 2023, vol. 68, art. no. 115007, 10 str., ilustr. ISSN 0031-9155. https://iopscience.iop.org/article/10.1088/1361-6560/acd221/pdf, DOI: 10.1088/1361-6560/acd221. [COBISS.SI-ID 150931203]

21. KLANEČEK, Žan, HREN, Rok, SIMONČIČ, Urban, LUKAČ, Matjaž, MILANIČ, Matija. Verification of a Finite-Element Method (FEM) model for simulating laser-tissue interaction in hair removal systems. V: ŽEMVA, Andrej (ur.), TROST, Andrej (ur.). Zbornik dvaintridesete mednarodne Elektrotehniške in računalniške konference ERK 2023 = Proceedings of the 32nd International Electrotechnical and Computer Science Conference ERK 2023 : Portorož, Slovenija, 28. - 29. september 2023. Ljubljana: Slovenska sekcija IEEE: Fakulteta za elektrotehniko, 2023. Str. 416-418, ilustr. Zbornik ... Elektrotehniške in računalniške konference (Online), 32. ISSN 2591-0442. https://erk.fe.uni-lj.si/2023/program.php. [COBISS.SI-ID 166733571]

22. STRAŠEK, Katja, HUFF, Daniel T., HRIBERNIK, Nežka, SANTORO FERNANDES, Victor, MA, Vincent T., KLANEČEK, Žan, STUDEN, Andrej, ZEVNIK, Katarina, REBERŠEK, Martina, JERAJ, Robert. Assessing the impact of CNN architectures for whole organ segmentation on predictive models of organ toxicity. V: APS March Meeting 2024 : March 4–8, 2024, Minneapolis & Virtual. College Park: American Physical Society, 2024. Bulletin of the American Physical Society, 2024. https://meetings.aps.org/Meeting/MAR24/Session/Z18.3. [COBISS.SI-ID 188658435]

23. WAGNER, Tobias, KLANEČEK, Žan, WANG, Yao Kuan, COCKMARTIN, Lesley, MARSHALL, Nicholas, STUDEN, Andrej, JERAJ, Robert, BOSMANS, Hilde. Incorporating longitudinal screening data into image-based breast cancer risk assessment. V: GIGER, Maryellen Lissak (ur.). 17th International Workshop on Breast Imaging, IWBI 2024 : 9–12 June 2024, Chicago, IL, United States. Bellingham: SPIE, 2024. 6 str., ilustr. Proceedings of SPIE, vol. 13174. ISBN 978-1-5106-8021-0. ISSN 1996-756X. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/13174/3026995/Incorporating-longitudinal-screening-data-into-image-based-breast-cancer-risk/10.1117/12.3026995.short, DOI: 10.1117/12.3026995. [COBISS.SI-ID 230041603]

24. WANG, Yao Kuan, KLANEČEK, Žan, WAGNER, Tobias, COCKMARTIN, Lesley, MARSHALL, Nicholas, STUDEN, Andrej, JERAJ, Robert, BOSMANS, Hilde. Longitudinal analysis of micro-calcifications features for breast cancer risk prediction with the Mirai model. V: GIGER, Maryellen Lissak (ur.). 17th International Workshop on Breast Imaging, IWBI 2024 : 9–12 June 2024, Chicago, IL, United States. Bellingham: SPIE, 2024. 5 str., ilustr. Proceedings of SPIE, vol. 13174. ISBN 978-1-5106-8021-0. ISSN 1996-756X. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/13174/3027024/Longitudinal-analysis-of-micro-calcifications-features-for-breast-cancer-risk/10.1117/12.3027024.short, DOI: 10.1117/12.3027024. [COBISS.SI-ID 230044931]

25. KLANEČEK, Žan, STUDEN, Andrej, HERTL, Kristijana, JARM, Katja, KRAJC, Mateja, VRHOVEC, Miloš, JERAJ, Robert. Longitudinal interpretability of deep learning-based breast cancer risk prediction model: comparison of different attribution methods. V: GIGER, Maryellen Lissak (ur.). 17th International Workshop on Breast Imaging, IWBI 2024 : 9–12 June 2024, Chicago, IL, United States. Bellingham: SPIE, 2024. 7 str. Proceedings of SPIE, vol. 13174. ISBN 978-1-5106-8021-0. ISSN 1996-756X. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/13174/131741W/Longitudinal-interpretability-of-deep-learning-based-breast-cancer-risk-prediction/10.1117/12.3025858.short, DOI: 10.1117/12.3025858. [COBISS.SI-ID 198408195]

26. KLANEČEK, Žan, WANG, Yao Kuan, WAGNER, Tobias, COCKMARTIN, Lesley, MARSHALL, Nicholas, SCHOTT, Brayden, DEATSCH, Alison, STUDEN, Andrej, VRHOVEC, Miloš, BOSMANS, Hilde, JERAJ, Robert. Longitudinal interpretability of deep-learning based breast cancer risk prediction model. V: APS March Meeting 2024 : March 4–8, 2024, Minneapolis & Virtual. College Park: American Physical Society, 2024. Bulletin of the American Physical Society, 2024. https://meetings.aps.org/Meeting/MAR24/Session/Z18.2. [COBISS.SI-ID 198336259]

27. KLANEČEK, Žan, STUDEN, Andrej, JARM, Katja, KRAJC, Mateja, VRHOVEC, Miloš, JERAJ, Robert. Prepoznavanje ogroženosti za nastanek raka dojk na mamografskih slikah. V: ŽGAJNAR, Janez (ur.), DURATOVIĆ KONJEVIĆ, Amela (ur.). 35. onkološki vikend : umetna inteligenca v onkologiji in spremljanje bolnikov z rakom po zaključenem zdravljenju : zbornik : Portorož, GH Bernardin, 10. in 11. maj 2024. Ljubljana: Kancerološko združenje Slovenskega zdravniškega društva: Onkološki inštitut, 2024. Str. 24-29. ISBN 978-961-7029-82-6. DiRROS - Digitalni repozitorij raziskovalnih organizacij Slovenije, http://www.dlib.si/details/URN:NBN:SI:doc-6M14QUB2. [COBISS.SI-ID 196815619]

28. WAGNER, Tobias, KLANEČEK, Žan, WANG, Yao Kuan, COCKMARTIN, Lesley, MARSHALL, Nicholas, STUDEN, Andrej, JERAJ, Robert, BOSMANS, Hilde. Transfer learning from breast cancer detection models for image-based breast cancer risk 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. 6 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/12927/3006670/Transfer-learning-from-breast-cancer-detection-models-for-image-based/10.1117/12.3006670.short, DOI: 10.1117/12.3006670. [COBISS.SI-ID 229738499]

29. SCHOTT, Brayden, SANTORO FERNANDES, Victor, KLANEČEK, Žan, PINCHUK, Dmitry, JERAJ, Robert. Uncertainty quantification for deep learning-based metastatic tumor delineation on [sup]68Ga-DOTATATE PET/CT images. V: APS March Meeting 2024 : March 4–8, 2024, Minneapolis & Virtual. College Park: American Physical Society, 2024. Bulletin of the American Physical Society, 2024. https://meetings.aps.org/Meeting/MAR24/Session/Z18.14. [COBISS.SI-ID 188872195]

30. SCHOTT, Brayden, PINCHUK, Dmitry, SANTORO FERNANDES, Victor, KLANEČEK, Žan, RIVETTI, Luciano, DEATSCH, Alison, PERLMAN, Scott, LI, Yixuan, JERAJ, Robert. Uncertainty quantification via localized gradients for deep learning-based medical image assessments. Physics in Medicine & Biology. 2024, vol. 69, no. 15, art. no. 155015, 19 str., ilustr. ISSN 0031-9155. Repozitorij Univerze v Ljubljani – RUL, DOI: 10.1088/1361-6560/ad611d. [COBISS.SI-ID 239051523]

31. KLANEČEK, Žan. Advanced methods of medical image analysis for breast cancer risk prediction : doctoral thesis. Ljubljana: [Ž. Klaneček], 2025. 178 str., ilustr. Repozitorij Univerze v Ljubljani – RUL. [COBISS.SI-ID 244299523]

32. KLANEČEK, Žan, WANG, Yao Kuan, WAGNER, Tobias, COCKMARTIN, Lesley, MARSHALL, Nicholas, SCHOTT, Brayden, DEATSCH, Alison, STUDEN, Andrej, JARM, Katja, KRAJC, Mateja, VRHOVEC, Miloš, BOSMANS, Hilde, JERAJ, Robert. Impact of pectoral muscle removal on deep-learning-based breast cancer risk prediction. Physics in Medicine & Biology. Feb. 2025, vol. 70, no. 5, str. 1-19, ilustr. ISSN 0031-9155. https://iopscience.iop.org/article/10.1088/1361-6560/adb367, Repozitorij Univerze v Ljubljani – RUL, DOI: 10.1088/1361-6560/adb367. [COBISS.SI-ID 226342403]

33. SCHOTT, Brayden, KLANEČEK, Žan, SANTORO FERNANDES, Victor, TIE, Xin, SALGADO-MALDONADO, Sebastián, DEATSCH, Alison, JERAJ, Robert. InfoOOD: information bottleneck optimization for post hoc medical image out-of-distribution detection. Physics in medicine & biology. Oct. 2025, vol. 70, no. 21, art. no. 215013, 16 str., ilustr. ISSN 1361-6560. https://iopscience.iop.org/article/10.1088/1361-6560/ae110e, DOI: 10.1088/1361-6560/ae110e. [COBISS.SI-ID 277232131]

34. KLANEČEK, Žan, WANG, Yao Kuan, WAGNER, Tobias, COCKMARTIN, Lesley, MARSHALL, Nicholas, STUDEN, Andrej, JARM, Katja, KRAJC, Mateja, VRHOVEC, Miloš, JERAJ, Robert, et al. Longitudinal interpretability of deep learning based breast cancer risk prediction. Physics in Medicine & Biology. 2025, vol. 70, no. 1, str. 015001-1-015001-23. ISSN 0031-9155. DOI: 10.1088/1361-6560/ad9db3. [COBISS.SI-ID 220949507]

35. KLANEČEK, Žan, WANG, Yao Kuan, WAGNER, Tobias, COCKMARTIN, Lesley, MARSHALL, Nicholas, SCHOTT, Brayden, DEATSCH, Alison, STUDEN, Andrej, JARM, Katja, KRAJC, Mateja, VRHOVEC, Miloš, JERAJ, Robert, et al. Sensitivity of a deep-learning-based breast cancer risk prediction model. Physics in Medicine & Biology. 2025, vol. 70, no. 8, str. 085014-1-085014-19. ISSN 0031-9155. Repozitorij Univerze v Ljubljani – RUL, DOI: 10.1088/1361-6560/adc9f8. [COBISS.SI-ID 235859203]

36. SCHOTT, Brayden, SANTORO FERNANDES, Victor, KLANEČEK, Žan, PERLMAN, Scott, JERAJ, Robert. Uncertainty quantification for deep learning-based metastatic lesion segmentation on whole body PET/CT. Physics in Medicine & Biology. 2025, vol. 70, no. 11, art. no. 115009, 17 str., ilustr. ISSN 0031-9155. Repozitorij Univerze v Ljubljani – RUL, DOI: 10.1088/1361-6560/add9df. [COBISS.SI-ID 239055363]

37. WANG, Yao Kuan, KLANEČEK, Žan, WAGNER, Tobias, COCKMARTIN, Lesley, MARSHALL, Nicholas, STUDEN, Andrej, JERAJ, Robert, BOSMANS, Hilde. Using explainable AI to characterize features in the Mirai mammographic breast cancer risk prediction model. Radiology. Artificial intelligence. Nov. 2025, vol. 7, no. 6, 10 str., ilustr. ISSN 2638-6100. Repozitorij Univerze v Ljubljani – RUL, DOI: 10.1148/ryai.240417. [COBISS.SI-ID 248268803]