Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Julian, Lo"'
Autor:
Julian Lo, MASc, Timothy T. Yu, BASc, Da Ma, PhD, Pengxiao Zang, MEng, Julia P. Owen, PhD, Qinqin Zhang, PhD, Ruikang K. Wang, PhD, Mirza Faisal Beg, PhD, Aaron Y. Lee, MD, MSc, Yali Jia, PhD, Marinko V. Sarunic, PhD, MBA
Publikováno v:
Ophthalmology Science, Vol 1, Iss 4, Pp 100069- (2021)
Purpose: To evaluate the performance of a federated learning framework for deep neural network-based retinal microvasculature segmentation and referable diabetic retinopathy (RDR) classification using OCT and OCT angiography (OCTA). Design: Retrospec
Externí odkaz:
https://doaj.org/article/303b9dd4d0f94ee3a1e8c6c74867b0df
Autor:
Emily C. Cherney, Liping Zhang, Julian Lo, Tram Huynh, Donna Wei, Vijay Ahuja, Claude Quesnelle, Gary L. Schieven, Alan Futran, Gregory A. Locke, Zeyu Lin, Laura Monereau, Charu Chaudhry, Jordan Blum, Sha Li, Mark Fereshteh, Bifang Li-Wang, Sanjeev Gangwar, Chin Pan, Colin Chong, Xiao Zhu, Shana L. Posy, John S. Sack, Ping Zhang, Max Ruzanov, Mary Harner, Fahad Akhtar, Gretchen M. Schroeder, Gregory Vite, Brian Fink
Publikováno v:
Journal of Medicinal Chemistry. 65:3518-3538
Autor:
Jillian Chan, Robert Carruthers, Claire A. Sheldon, Eduardo V. Navajas, Marinko V. Sarunic, Magdalena A. Wirth, Julian Lo, Haaris M. Khan
Publikováno v:
Retina. 41:2172-2178
PURPOSE To determine whether optical coherence tomography angiography is of diagnostic utility for Susac syndrome (SuS) by quantifying microvascular retinal changes. METHODS We enrolled 18 eyes of 9 healthy controls and 18 eyes of 9 patients with chr
Publikováno v:
2021 IEEE Photonics Conference (IPC).
Optical coherence tomography angiography (OCT-A) may help in the diagnosis of diabetic retinopathy (DR). The OCT-A field-of-view and the volume acquisition rate are limited by the number of samples. We explore the effect of reduced lateral sampling o
Autor:
Haaris M. Khan, Julian Lo, Samuel Yip, Peter Gooderham, Marinko V. Sarunic, Claire A. Sheldon, Magdalena A. Wirth
Publikováno v:
Neuroophthalmology
Moyamoya (MM) disease is a chronic cerebrovascular disease that can lead to progressive stenosis of the terminal portions of the internal carotid arteries and their proximal branches. We sought to investigate and quantify retinal vascular changes in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb86d085bf994af9e9666fa8b555baa3
https://europepmc.org/articles/PMC8555513/
https://europepmc.org/articles/PMC8555513/
Publikováno v:
Biomedical optics express. 12(10)
Optical coherence tomography (OCT) and OCT angiography (OCT-A) may benefit the screening of diabetic retinopathy (DR). This study investigated the effect of laterally subsampling OCT/OCT-A en face scans by up to a factor of 8 when using deep neural n
Autor:
Da Ma, Julian Lo, Mirza Faisal Beg, Michael Chambers, Marinko V. Sarunic, Timothy T. Yu, Cyrus WaChong
Publikováno v:
Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV.
We present novel approaches of implementing state-of-the-art deep learning techniques for the processing of optical coherence tomography angiography (OCT-A) images for the classification of diabetic retinopathy (DR) severity. The effects of feature-e
Autor:
Eduardo V. Navajas, Sonja Karst, David Maberley, Julian Lo, Nathan Schuck, Morgan Heisler, Marinko V. Sarunic, Abdollah Safari
Publikováno v:
Investigative Ophthalmology & Visual Science
Purpose The purpose of this study was to compare perfusion parameters of the parafovea with scans outside the parafovea to find an area most susceptible to changes secondary to diabetic retinopathy (DR). Methods Patients with different DR severity le
Autor:
Zaid Mammo, Mahadev Bhalla, Mirza Faisal Beg, Julian Lo, Myeong Jin Ju, Morgan Heisler, Marinko V. Sarunic, Sieun Lee
Publikováno v:
Biomed Opt Express
Optical coherence tomography (OCT) has become an essential tool in the evaluation of glaucoma, typically through analyzing retinal nerve fiber layer changes in circumpapillary scans. Three-dimensional OCT volumes enable a much more thorough analysis
Autor:
Julian Lo, Arman Athwal, Mirza Faisal Beg, Francis Tran, Sven Lončarić, Morgan Heisler, Donghuan Lu, Ivana Zadro, Marinko V. Sarunic
Publikováno v:
Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXIV.
We present updates upon our novel machine-learning methods for the acquisition, processing, and classification of Optical Coherence Tomography Angiography (OCT-A) images. Transitioning from traditional registration methods to machine-learning based m