Yao Kuan Wang

1. 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]

2. WAGNER, Tobias, COCKMARTIN, Lesley, MARSHALL, Nicholas, WANG, Yao Kuan, BOSMANS, Hilde. Comprehensive study on the difference in radiomic feature values between for-processing and for-presentation mammographic images and their discriminative power regarding BI-RADS density classification. 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. 11 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/12286/1228615/Comprehensive-study-on-the-difference-in-radiomic-feature-values-between/10.1117/12.2625776.short?SSO=1, DOI: 10.1117/12.2625776. [COBISS.SI-ID 150973187]

3. 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]

4. 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]

5. 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]

6. 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]

7. 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]

8. 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, DOI: 10.1088/1361-6560/adb367. [COBISS.SI-ID 226342403]

9. 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]

10. 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. DOI: 10.1088/1361-6560/adc9f8. [COBISS.SI-ID 235859203]

11. 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]