Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jelena Novosel"'
Publikováno v:
IEEE Transactions on Medical Imaging. 36:1306-1315
Extraction of image-based biomarkers, such as the presence, visibility, or thickness of a certain layer, from 3-D optical coherence tomography data provides relevant clinical information. We present a method to simultaneously determine the number of
Publikováno v:
ICCV Workshops
Precise understanding of the scene around the car is of the utmost importance to achieve autonomous driving. Convolutional neural networks (CNNs) have been widely used for road scene understanding in the last few years with great success. Surround vi
Publikováno v:
IEEE transactions on medical imaging. 36(6)
Accurate quantification of retinal structures in 3-D optical coherence tomography data of eyes with pathologies provides clinically relevant information. We present an approach to jointly segment retinal layers and lesions in eyes with topology-disru
Autor:
Jelena Novosel, Ziyuan Wang, Lucas J. van Vliet, Henk de Jong, Koenraad A. Vermeer, Mirjam E J van Velthoven
Publikováno v:
ISBI
We present a locally-adaptive approach to segment the fluid and the interfaces between retinal layers in eyes affected by central serous retinopathy based on loosely-coupled level sets. The approach exploits the local attenuation coefficient differen
Autor:
L. I. van den Born, Jelena Novosel, Laurence H M Pierrache, Koenraad A. Vermeer, Lucas J. van Vliet, Caroline C W Klaver
Publikováno v:
EMBC
This paper presents a method to determine the number of visible layers in the outer retina and perform segmentation. Each layer in the outer retina is represented by a Gaussian function, and multiple models with a different number of layers are used
Autor:
Lucas J. van Vliet, Jelena Novosel, Johannes F. de Boer, Gijs Thepass, Koenraad A. Vermeer, Hans G Lemij
Publikováno v:
Novosel, J, Thepass, G, Lemij, H G, de Boer, J F, Vermeer, K A & van Vliet, L J 2015, ' Loosely coupled level sets for simultaneous 3D retinal layer segmentation in optical coherence tomography ', Medical Image Analysis, vol. 26, no. 1, pp. 146-158 . https://doi.org/10.1016/j.media.2015.08.008
ResearcherID
Medical Image Analysis, 26(1), 146-158. Elsevier
ResearcherID
Medical Image Analysis, 26(1), 146-158. Elsevier
Optical coherence tomography (OCT) yields high-resolution, three-dimensional images of the retina. Reliable segmentation of the retinal layers is necessary for the extraction of clinically useful information. We present a novel segmentation method th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f5d2327c2b4861a106d24a73cdb1cd3
https://hdl.handle.net/1871.1/4c234289-4dd8-45ac-9593-a53a72935de0
https://hdl.handle.net/1871.1/4c234289-4dd8-45ac-9593-a53a72935de0
Publikováno v:
ISBI
This paper presents a novel method for the segmentation of layered structures that have a predefined order. Layers are jointly segmented by simultaneous detection of their interfaces. This is done by means of a level set approach based on Bayesian in
Autor:
Jelena Novosel
Prmatra se nelinerana diferencijalna jednadžba njihala, te se problem rješava na više načina: metodom linearizacije, asimptotskim razvojem eliptičkog integrala i kvalitativnim pristupom diferencijalnim jednadžbama.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::2790aeb0d49651b693aa5df0493fddb6
https://www.bib.irb.hr/662555
https://www.bib.irb.hr/662555