Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Tobiloba Adejumo"'
Autor:
David Le, Taeyoon Son, Tae-Hoon Kim, Tobiloba Adejumo, Mansour Abtahi, Shaiban Ahmed, Alfa Rossi, Behrouz Ebrahimi, Albert Dadzie, Guangying Ma, Jennifer I. Lim, Xincheng Yao
Publikováno v:
Communications Engineering, Vol 3, Iss 1, Pp 1-11 (2024)
Abstract Optical coherence tomography angiography (OCTA) provides unrivaled capability for depth-resolved visualization of retinal vasculature at the microcapillary level resolution. For OCTA image construction, repeated OCT scans from one location a
Externí odkaz:
https://doaj.org/article/feec4cc0e03b4195b54c61e1c28c7d0a
Publikováno v:
African Scientific Reports, Pp 100-100 (2023)
Multimedia cloud (MC) is an aspect of cloud computing that facilitates the effective use of multimedia services by end users in the context of cloud infrastructures. Despite rising network traffic, cloud computing technology provides novel strategies
Externí odkaz:
https://doaj.org/article/435eab97e56446fe8542dd1840949b20
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
Chromatic dispersion is a common problem to degrade the system resolution in optical coherence tomography (OCT). This study is to develop a deep learning network for automated dispersion compensation (ADC-Net) in OCT. The ADC-Net is based on a modifi
Externí odkaz:
https://doaj.org/article/db7e655e263149c599766d6e1df1ec92
Publikováno v:
Bioengineering, Vol 10, Iss 3, p 313 (2023)
Accurate image registration is essential for eye movement compensation in optical coherence tomography (OCT) and OCT angiography (OCTA). The spatial resolution of an OCT instrument is typically anisotropic, i.e., has different resolutions in the late
Externí odkaz:
https://doaj.org/article/8e8a63a898214c2589fbb82998191b2e
Autor:
Jiwoong J. Jeong, Amara Tariq, Tobiloba Adejumo, Hari Trivedi, Judy W. Gichoya, Imon Banerjee
Publikováno v:
J Digit Imaging
In recent years, generative adversarial networks (GANs) have gained tremendous popularity for various imaging related tasks such as artificial image generation to support AI training. GANs are especially useful for medical imaging–related tasks whe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e873f7ac3f7f36810349689aa88e010
https://doi.org/10.1007/s10278-021-00556-w
https://doi.org/10.1007/s10278-021-00556-w
Publikováno v:
Ophthalmic Technologies XXXIII.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8da57e7fa183b7924f5e092d86c0931
https://doi.org/10.1117/12.2646254
https://doi.org/10.1117/12.2646254
Publikováno v:
Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd78b4e4962502a45aa66bdc24576fd0
https://doi.org/10.1117/12.2651672
https://doi.org/10.1117/12.2651672
Autor:
David Le, Taeyoon Son, Tae-Hoon Kim, Tobiloba Adejumo, Mansour Abtahi, Shaiban Ahmed, Alfa Rossi, Behrouz Ebrahimi, Albert Dadzie, Xincheng Yao
As one modality extension of optical coherence tomography (OCT), OCT angiography (OCTA) provides unparalleled capability for depth-resolved visualization of retinal vasculature at the microcapillary level resolution. For OCTA image construction, repe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23aaef5e3b23aaa3a5cb66c70f03aafe
https://doi.org/10.21203/rs.3.rs-2387074/v1
https://doi.org/10.21203/rs.3.rs-2387074/v1
Publikováno v:
Ophthalmic Technologies XXXII.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a20230400a6865dea9403bd27a74059
https://doi.org/10.1117/12.2608296
https://doi.org/10.1117/12.2608296
Publikováno v:
Biomed Opt Express
This study is to characterize reflectance profiles of retinal blood vessels in optical coherence tomography (OCT), and to validate these vascular features to guide artery-vein classification in OCT angiography (OCTA) of human retina. Depth-resolved O
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ecef7f0ea0d1b99f182a937971401d6
https://pubmed.ncbi.nlm.nih.gov/35284164
https://pubmed.ncbi.nlm.nih.gov/35284164