PhD Hennadii Madan [37292]

1. MADAN, Hennadii, BERLOT, Rok, RAY, Nicola J., PERNUŠ, Franjo, ŠPICLIN, Žiga. Practical priors for Bayesian inference of latent biomarkers. IEEE journal of biomedical and health informatics. [Print ed.]. Feb. 2020, vol. 24, no. 2, str. 396-406, ilustr. ISSN 2168-2194. https://ieeexplore.ieee.org/document/8854978, DOI: 10.1109/JBHI.2019.2945077. [COBISS.SI-ID 12721492]

2. MADAN, Hennadii, PERNUŠ, Franjo, ŠPICLIN, Žiga. Reference-free error estimation for multiple measurement methods. Statistical methods in medical research. 2019, vol. 28, issue 7, str. 2196-2209, ilustr. ISSN 0962-2802. http://journals.sagepub.com/doi/full/10.1177/0962280217754231, DOI: 10.1177/0962280217754231. [COBISS.SI-ID 11948116]

3. MADAN, Hennadii, PERNUŠ, Franjo, LIKAR, Boštjan, ŠPICLIN, Žiga. A framework for automatic creation of gold-standard rigid 3D-2D registration datasets. International journal of computer assisted radiology and surgery : a journal for interdisciplinary research, developemnt and applications of image guided diagnosis and therapy. Feb. 2017, vol. 12, no. 2, str. 263-275, ilustr. ISSN 1861-6410. http://link.springer.com/article/10.1007/s11548-016-1482-4, DOI: 10.1007/s11548-016-1482-4. [COBISS.SI-ID 11592532]

4. MADAN, Hennadii, LIKAR, Boštjan, PERNUŠ, Franjo, ŠPICLIN, Žiga. Device and methods for "gold standard" registration of clinical 3D and 2D cerebral angiograms. In: YANIV, Ziv R. (ed.), WEBSTER, Robert J. (ed.). Medical Imaging 2015. Image-Guided Procedures, Robotic Interventions, and Modeling. Medical Imaging 2015, Image-Guided Procedures, Robotic Interventions, and Modeling, Orlando, Florida, United States, 22-24 February 2015. [Bellingham: SPIE], 2015. Str. 1-10, ilustr. Proceedings of SPIE, vol. 9415. ISBN 978-1-6284-1505-6. ISSN 0277-786X. http://spie.org/Publications/Proceedings/Paper/10.1117/12.2081908?origin_id=x4325&start_volume_number=9400, DOI: 10.1117/12.2081908. [COBISS.SI-ID 11012948]

5. VISHNYAKOVA, K. S., MUGUE, N. S., ZELENINA, D. A., MIKODINA, E. V., KOVALEVA, O. A., MADAN, Hennadii, YEGOROV, Y. E. Cell culture and karyotype of Sakhalin sturgeon Acipenser mikadoi. Biochemistry (Moscow). Supplement. Series A, Membrane and cell biology. Mar. 2009, vol. 3, no. 1, str. 42-54, ilustr. ISSN 1990-7478. http://link.springer.com/article/10.1134/S1990747809010061, DOI: 10.1134/S1990747809010061. [COBISS.SI-ID 11093588]

6. VYSHNYAKOVA, Kateryna L., MUGUE, N. S., ZELENINA, D. A., MIKODINA, E. V., KOVALEVA, O. A., MADAN, Hennadii, YEGOROV, Y. E. Kulʹtura kletok i kariotip sahalinskogo osetra Acipenser mikadoi. Biologičeskie membrany. 2008, tom 25, no. 6, str. 420-433, ilustr. ISSN 0233-4755. [COBISS.SI-ID 11117140]

7. MADAN, Hennadii, BERLOT, Rok, RAY, Nicola J., PERNUŠ, Franjo, ŠPICLIN, Žiga. Predicting nucleus basalis of Meynert volume from compartmental brain segmentations. In: REKIK, Islem (ed.), et al. Predictive intelligence in medicine : proceedings. First International Workshop, PRIME 2018, held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018. Switzerland: Springer, cop. 2018. Str. 68-75, ilustr. Lecture notes in computer science, SL6 - Image processing, computer vision, pattern recognition, and graphics, 11121. ISBN 978-3-030-00320-3. ISSN 1611-3349. https://link.springer.com/chapter/10.1007/978-3-030-00320-3_9, DOI: 10.1007/978-3-030-00320-3_9. [COBISS.SI-ID 12236116]

8. MADAN, Hennadii, PERNUŠ, Franjo, ŠPICLIN, Žiga. Benchmarking quantitative imaging biomarker measurement methods without a gold standard. In: DESCOTEAUX, Maxime (ed.), et al. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2017 : proceedings, part II. 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017. Cham: Springer, cop. 2017. Str. 763-771, ilustr. Lecture notes in computer science, 10434. ISBN 978-3-319-66184-1. ISSN 0302-9743. https://link.springer.com/chapter/10.1007/978-3-319-66185-8_86, DOI: 10.1007/978-3-319-66185-8_86. [COBISS.SI-ID 11879252]

9. MADAN, Hennadii, PERNUŠ, Franjo, LIKAR, Boštjan, ŠPICLIN, Žiga. Regression without truth with Markov chain Monte-Carlo. In: KUPINSKI, Matthew A. (ed.), NISHIKAWA, Robert M. (ed.). Medical Imaging 2017. Image Perception, Observer Performance, and Technology Assessment. Medical Imaging 2017 : Image Perception, Observer Performance, and Technology Assessment, Orlando, Florida, February 11, 2017. [Bellingham: SPIE], 2017. Str. 1-7, ilustr. Proceedings of SPIE, vol. 10136. ISBN 978-1-5106-0717-0. ISSN 0277-786X. https://spie.org/Publications/Proceedings/Paper/10.1117/12.2255880, DOI: 10.1117/12.2255880. [COBISS.SI-ID 11721556]

10. MADAN, Hennadii, SAVŠEK, Lina, ŠEGA, Saša, ŠPICLIN, Žiga. Method for assessing quality of lesion volume and brain atrophy measurements. Multiple sclerosis. Oct. 2017, vol. 23, iss. s3, str. 593-594. ISSN 1477-0970. http://journals.sagepub.com/toc/msja/23/3_suppl. [COBISS.SI-ID 824739]

11. MADAN, Hennadii. Error estimation in quantitative medical image analysis : PhD thesis. Ljubljana: [H. Madan], 2018. XX, 104 str., ilustr. Repository of the University of Ljubljana – RUL , http://www.dlib.si/details/URN:NBN:SI:doc-15818LVC. [COBISS.SI-ID 12105812]