Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Hrvoje Leventic"'
Publikováno v:
Applied Sciences, Vol 11, Iss 9, p 3912 (2021)
An accurate whole heart segmentation (WHS) on medical images, including computed tomography (CT) and magnetic resonance (MR) images, plays a crucial role in many clinical applications, such as cardiovascular disease diagnosis, pre-surgical planning,
Externí odkaz:
https://doaj.org/article/ffa6dc8320a8424e99d6f30ff091b71b
In the past decade, the digitalization of the health-care industry and electronic healthcare records (EHR) rises rapidly. The concept of smart health gradually gains momentum as information technology advances. Smart healthcare transforms and improve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84720e004ad6c003850811c01281cfb5
https://www.bib.irb.hr/1148246
https://www.bib.irb.hr/1148246
Autor:
Kresimir Romic, Marija Habijan, Irena Galić, Aleksandra Pižurica, Lazar Velicki, Danilo Babin, Hrvoje Leventic
Background Preservation and improvement of heart and vessel health is the primary motivation behind cardiovascular disease (CVD) research. Development of advanced imaging techniques can improve our understanding of disease physiology and serve as a m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbb1edebd384d03c70e05c365ab08c3e
https://www.bib.irb.hr/1102220
https://www.bib.irb.hr/1102220
Development of automated assistance systems for the visually impaired is still relatively uncommon research topic. However, the use of the cameras and image processing is widely spread and can be a good source of useful information for the visually i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de0cf4992d2d920bb2cb4b1b0be0fc48
https://doi.org/10.1109/elmar49956.2020.9219032
https://doi.org/10.1109/elmar49956.2020.9219032
Autor:
Ljubomir Jovanov, Daniel Devos, Ljiljana Platisa, Danilo Babin, Wilfried Philips, Marija Habijan, Hrvoje Leventic
Publikováno v:
Advanced Concepts for Intelligent Vision Systems ISBN: 9783030406042
ACIVS
ACIVS
Aortic stiffness is an important diagnostic and prognostic parameter for many diseases, and is estimated by measuring the Pulse Wave Velocity (PWV) from Cardiac Magnetic Resonance (CMR) images. However, this process requires combinations of multiple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20f5eef26e7f566c455fbc1927af4d4d
https://doi.org/10.1007/978-3-030-40605-9_7
https://doi.org/10.1007/978-3-030-40605-9_7
Publikováno v:
International journal of electrical and computer engineering systems
Volume 11
Issue 1
Volume 11
Issue 1
The most recent research is showing the importance and suitability of neural networks for medical image processing tasks. Nonetheless, their efficiency in segmentation tasks is greatly dependent on the amount of available training data. To overcome i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::894e328fbd97982696aa8cbfde41f258
https://hrcak.srce.hr/file/352958
https://hrcak.srce.hr/file/352958
Accurate determination of physiology and morphology of individual coronary artery is a prerequisite for its quantification as well as for planning procedures such as angioplasty. Therefore, in this paper, we propose a semi-automatic method for center
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13e820300a0686ace66d1f4805ab3459
https://www.bib.irb.hr/1085078
https://www.bib.irb.hr/1085078
Publikováno v:
Publons
We present a novel automatic adaptive thresholding method which, when combined with our previously published semi-automatic LAA segmentation method, provides a framework for the accurate LAA segmentation requiring minimal user interaction. The method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33e3baa5f1deebf676880a18f7b3f0f7
https://doi.org/10.1109/elmar.2019.8918651
https://doi.org/10.1109/elmar.2019.8918651
Publikováno v:
IWSSIP
PROCEEDINGS OF 2019 INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP 2019)
PROCEEDINGS OF 2019 INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP 2019)
Recent studies have demonstrated the importance of neural networks in medical image processing and analysis. However, their great efficiency in segmentation tasks is highly dependent on the amount of training data. When these networks are used on sma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a255e18e93fc874ef1a2bd5df5fdc271
https://doi.org/10.1109/iwssip.2019.8787253
https://doi.org/10.1109/iwssip.2019.8787253
Publikováno v:
APPLIED SCIENCES-BASEL
Applied Sciences, Vol 11, Iss 3912, p 3912 (2021)
Applied Sciences
Volume 11
Issue 9
Applied Sciences, Vol 11, Iss 3912, p 3912 (2021)
Applied Sciences
Volume 11
Issue 9
An accurate whole heart segmentation (WHS) on medical images, including computed tomography (CT) and magnetic resonance (MR) images, plays a crucial role in many clinical applications, such as cardiovascular disease diagnosis, pre-surgical planning,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7af4d94528b80fb6be767e148b4ba7e7
https://doi.org/10.3390/app11093912
https://doi.org/10.3390/app11093912