Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Attila Budai"'
Autor:
Andrea Sprödhuber, Johannes Wolz, Heinrich J. Audebert, Attila Budai, Inga Laumeier, Georg Michelson
Publikováno v:
Ophthalmic Research. 60:1-8
Objectives: To measure the density of retinal vessels from digitized fundus photographs in patients with recent stroke and age-matched controls. To investigate whether the parameter retinal vascular density (RVD) served as a quantitative marker for c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e09d4ca552ed748ca6f8aa29f2555f41
https://doi.org/10.1159/000488491
https://doi.org/10.1159/000488491
Autor:
Jiri Jan, Attila Budai, Elli Angelopoulou, Radim Kolar, Ondrej Svoboda, Jiri Gazarek, Pavel Cernosek, Tomas Kubena, Jan Odstrcilik, Joachim Hornegger
Publikováno v:
IET Image Processing. 7:373-383
Automatic assessment of retinal vessels plays an important role in the diagnosis of various eye, as well as systemic diseases. A public screening is highly desirable for prompt and effective treatment, since such diseases need to be diagnosed at an e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1197546b46890c814729da219a0d2b22
https://doi.org/10.1049/iet-ipr.2012.0455
https://doi.org/10.1049/iet-ipr.2012.0455
Publikováno v:
2014 IEEE International Conference on Imaging Systems and Techniques (IST) Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::390c7c0d78cf009c1228d2a23f725b77
https://doi.org/10.1109/ist.2014.6958459
https://doi.org/10.1109/ist.2014.6958459
Publikováno v:
Informatik aktuell ISBN: 9783642541100
Bildverarbeitung für die Medizin
Bildverarbeitung für die Medizin
One of the most common modalities to examine the eye- background is the fundus image. These images are photographs taken through the pupil by a fundus camera. The evaluation of these im- ages is usually carried out by ophthalmologists or experts duri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0625a597c333aef31af8ca0e8b036c56
https://doi.org/10.1007/978-3-642-54111-7_25
https://doi.org/10.1007/978-3-642-54111-7_25
Publikováno v:
Informatik aktuell ISBN: 9783642541100
Bildverarbeitung für die Medizin
Bildverarbeitung für die Medizin
Fundus video cameras enable the acquisition of image se- quences to analyze fast temporal changes on the human retina in a non-invasive manner. In this work, we propose a tracking-by-detection scheme for the optic disk to capture the human eye motion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4eaa7b6d6714fb8c72b9018a09c9e78
https://doi.org/10.1007/978-3-642-54111-7_26
https://doi.org/10.1007/978-3-642-54111-7_26
Autor:
Zdenek Kuna, Radim Kolar, Tomas Kubena, Jiri Gazarek, Jan Odstrcilik, Jiri Jan, Martina Vodakova, Marina Ronzhina, Markus A. Mayer, Attila Budai, Robert Laemmer, Pavel Cernosek, R. P. Tornow, Martin Lamoš
Publikováno v:
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS. 2014, vol. 38, issue 6, p. 508-516.
Images of ocular fundus are routinely utilized in ophthalmology. Since an examination using fundus camera is relatively fast and cheap procedure, it can be used as a proper diagnostic tool for screening of retinal diseases such as the glaucoma. One o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7be1b2b54a7b7d6bfa5ab839cf7d6ab
https://pubmed.ncbi.nlm.nih.gov/24906911
https://pubmed.ncbi.nlm.nih.gov/24906911
Publikováno v:
CBMS
Fundus imaging is one of the most frequently used modalities for screening, diagnosis of eye diseases and some vascular abnormalities. Due to its wide availability, automatic evaluation of fundus images offers great potential benefits to current clin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1b7419073b077f3f4443a41112612ed
https://doi.org/10.1109/cbms.2013.6627765
https://doi.org/10.1109/cbms.2013.6627765
Autor:
Attila Budai, Joel S. Schuman, Hiroshi Ishikawa, James G. Fujimoto, Martin F. Kraus, Lauren Branchini, Joachim Hornegger, Julia Schottenhamml, Chieh-Li Chen, Gadi Wollstein, Jay S. Duker, Tony H. Ko, Jonathan J. Liu
Publikováno v:
Biomedical Optics Express
Variability in illumination, signal quality, tilt and the amount of motion pose challenges for post-processing based 3D-OCT motion correction algorithms. We present an advanced 3D-OCT motion correction algorithm using image registration and orthogona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ec84c7b4c9541ae963b126ca530eefc
https://doi.org/10.1364/boe.5.002591
https://doi.org/10.1364/boe.5.002591
Autor:
R. P. Tornow, P. Mackova, Jan Odstrcilik, Attila Budai, Radim Kolar, Jiri Jan, Martina Vodakova
Publikováno v:
Scopus-Elsevier
Lecture Notes in Computational Vision and Biomechanics ISBN: 9783319134062
Lecture Notes in Computational Vision and Biomechanics ISBN: 9783319134062
The retinal nerve fiber layer (RNFL) is one of the most affected retinal structures due to the glaucoma disease. Progression of this disease results in the RNFL atrophy that can be detected as the decrease of the layer’s thickness. Usually, the RNF
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cf4cc76757b81923ad41ca2b64328c7
http://www.scopus.com/inward/record.url?eid=2-s2.0-84973169033&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84973169033&partnerID=MN8TOARS
Autor:
Jan Odstrcilik, Joachim Hornegger, Martin F. Kraus, Thomas Köhler, Georg Michelson, Attila Budai
Publikováno v:
Scopus-Elsevier
CBMS
CBMS
Fundus imaging is the most commonly used modality to collect information about the human eye background. Objective and quantitative assessment of quality for the acquired images is essential for manual, computer-aided and fully automatic diagnosis. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ac53babc73327d04bdaa3c56579bea6
http://www.scopus.com/inward/record.url?eid=2-s2.0-84897040823&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84897040823&partnerID=MN8TOARS