Cast suppression in radiographs by generative adversarial networks.

Autor: Hržić F; Department of Computer Engineering, Faculty of Engineering, University of Rijeka, Rijeka, Croatia.; Center for Artificial Intelligence and Cybersecurity, University of Rijeka, Rijeka, Croatia., Žužić I; Department of Informatics, Technical University of Munich, Munich, Germany., Tschauner S; Division of Pediatric Radiology, Department of Radiology, Medical University of Graz, Graz, Austria., Štajduhar I; Department of Computer Engineering, Faculty of Engineering, University of Rijeka, Rijeka, Croatia.; Center for Artificial Intelligence and Cybersecurity, University of Rijeka, Rijeka, Croatia.

Publikováno v: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2021 Nov 25; Vol. 28 (12), pp. 2687-2694.

Revealing the Diversity and Complex Relationships of Croatian Olive Germplasm.

Autor: Klepo, Tatjana¹ (AUTHOR) tatjana.klepo@hapih.hr, Benčić, Đani² (AUTHOR) bencic@agr.hr, Liber, Zlatko^3,4 (AUTHOR) zlatko.liber@biol.pmf.hr, Belaj, Angjelina⁵ (AUTHOR) angjelina.belaj@juntadeandalucia.es, Strikić, Frane⁶ (AUTHOR) fstrikic@unist.hr, Kević, Nives⁷ (AUTHOR) nkevic@pmfst.hr, Šatović, Zlatko^4,8 (AUTHOR)

Publikováno v: International Journal of Molecular Sciences. Mar2024, Vol. 25 Issue 6, p3170. 15p.

Razdvajanje faza u sustavu La0.5Sr0.5MnO3. (Croatian)

Autor: Žužić, A., Macan, J.

Publikováno v: Kemija u Industriji; 2022, Vol. 71 Issue 11/12, p685-689, 5p

Genotyping of Croatian Olive Germplasm with Consensus SSR Markers.

Autor: Bolarić, Snježana, Vokurka, Aleš, Batelja Lodeta, Kristina, Benčić, Đani

Publikováno v: Horticulturae; Apr2024, Vol. 10 Issue 4, p417, 21p

Suppression of immobilisation device on wrist radiography to improve fracture visualisation.

Autor: Lee S; Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, 06591, Republic of Korea.; Visual Analysis and Learning for Improved Diagnostics (VALID) Lab, College of Medicine, The Catholic University of Korea, Seoul, 06591, Republic of Korea., Chun KS; Visual Analysis and Learning for Improved Diagnostics (VALID) Lab, College of Medicine, The Catholic University of Korea, Seoul, 06591, Republic of Korea., Lee S; Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, 06591, Republic of Korea.; Visual Analysis and Learning for Improved Diagnostics (VALID) Lab, College of Medicine, The Catholic University of Korea, Seoul, 06591, Republic of Korea., Park H; Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, 06591, Republic of Korea.; Visual Analysis and Learning for Improved Diagnostics (VALID) Lab, College of Medicine, The Catholic University of Korea, Seoul, 06591, Republic of Korea., Le TD; Visual Analysis and Learning for Improved Diagnostics (VALID) Lab, College of Medicine, The Catholic University of Korea, Seoul, 06591, Republic of Korea., Jung JY; Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, 06591, Republic of Korea. jy.jung@songeui.ac.kr.; Visual Analysis and Learning for Improved Diagnostics (VALID) Lab, College of Medicine, The Catholic University of Korea, Seoul, 06591, Republic of Korea. jy.jung@songeui.ac.kr.

Publikováno v: European radiology [Eur Radiol] 2024 Dec 03. Date of Electronic Publication: 2024 Dec 03.