Results 31 to 40 of about 7,210,127 (300)

Structured illumination microscopy for in-vivo human retinal imaging: a theoretical assessment [PDF]

, 2012
Structured illumination microscopy applied to in-vivo retinal imaging has the potential to provide a low-cost and powerful diagnostic tool for retinal disease.
Gruppetta, Gustafsson, Hagan, Karadaglic, Karadaglic, Kner, Neil, Sabah Chetty, Shroff, Shroff, Steve Gruppetta, Thibos   +11 more
core   +1 more source

Retinal imaging in Alzheimer's and neurodegenerative diseases

Alzheimer's & Dementia, 2020
In the last 20 years, research focused on developing retinal imaging as a source of potential biomarkers for Alzheimer's disease and other neurodegenerative diseases, has increased significantly. The Alzheimer's Association and the Alzheimer's & Dementia:
Peter J. Snyder, J. Alber, C. Alt, L. Bain, B. Bouma, F. Bouwman, D. DeBuc, M. Campbell, Maria C. Carrillo, Emily Y. Chew, M. F. Cordeiro, M. Dueñas, Brian Fernández, M. Koronyo-Hamaoui, C. La Morgia, Roxana O. O Carare, S. Sadda, P. Wijngaarden, H. Snyder   +18 more
semanticscholar   +1 more source

Multimodal Imaging of Photoreceptor Structure in Choroideremia [PDF]

, 2016
Purpose Choroideremia is a progressive X-linked recessive dystrophy, characterized by degeneration of the retinal pigment epithelium (RPE), choroid, choriocapillaris, and photoreceptors.
Carroll, Joseph, Dubra, Alfredo, Fishman, Gerald A., Johnson, Ryan D., Stepien, Kimberly E., Summerfelt, Phyllis, Sun, Lynn W., Weinberg, David V., Williams, Vesper   +8 more
core   +19 more sources

Fluorescein angiography compared to three-dimensional measurements by the retinal thickness analyzer in classic choroidal neovascularization [PDF]

, 2007
Purpose: To compare and correlate imaging of classic subfoveal choroidal neovascularization (CNV) with noninvasive 3-dimensional imaging by the retinal thickness analyzer (RTA) to conventional fluorescein angiography (FA).
Kampik, Anselm, Neubauer, A. S., Rombold, F., Strauss, R. W.   +3 more
core   +1 more source

Effective deep learning approaches for predicting COVID-19 outcomes from chest computed tomography volumes

Scientific Reports, 2022
The rapid evolution of the novel coronavirus disease (COVID-19) pandemic has resulted in an urgent need for effective clinical tools to reduce transmission and manage severe illness.
Anthony Ortiz, Anusua Trivedi, Jocelyn Desbiens, Marian Blazes, Caleb Robinson, Sunil Gupta, Rahul Dodhia, Pavan K. Bhatraju, W. Conrad Liles, Aaron Lee, Juan M. Lavista Ferres   +10 more
doaj   +1 more source

Novel Retinal Imaging Technologies [PDF]

, 2017
Newly-developed imaging techniques show extensive promise and potential to improve early detection, accurate diagnosis, and management of retinal diseases.
Li Y, Xia X, Paulus YM
core   +1 more source

Imaging diabetic retinal disease: clinical imaging requirements

Acta Ophthalmologica, 2022
AbstractDiabetic retinopathy (DR) is a sight‐threatening complication of diabetes mellitus (DM) and it contributes substantially to the burden of disease globally. During the last decades, the development of multiple imaging modalities to evaluate DR, combined with emerging treatment possibilities, has led to the implementation of large‐scale screening
Vivian Schreur, Morten B. Larsen, Lucia Sobrin, Abdhish R. Bhavsar, Anneke I. den Hollander, B. Jeroen Klevering, Carel B. Hoyng, Eiko K. de Jong, Jakob Grauslund, Tunde Peto   +9 more
openaire   +5 more sources

Optical Coherence Tomographic Angiography Imaging in Age-Related Macular Degeneration. [PDF]

, 2017
Optical coherence tomographic angiography (OCTA) is emerging as a rapid, noninvasive imaging modality that can provide detailed structural and flow information on retinal and choroidal vasculature.
Desai, Ria, Fawzi, Amani, Gill, Manjot, Ma, Jeffrey, Nesper, Peter, Skondra, Dimitra   +5 more
core   +3 more sources

Insights into Systemic Disease through Retinal Imaging-Based Oculomics

Translational Vision Science & Technology, 2020
Among the most noteworthy developments in ophthalmology over the last decade has been the emergence of quantifiable high-resolution imaging modalities, which are typically non-invasive, rapid and widely available.
S. Wagner, D. J. Fu, L. Faes, Xiaoxuan Liu, Josef Huemer, Hagar Khalid, D. Ferraz, Edward Korot, Christopher J. Kelly, K. Balaskas, A. Denniston, P. Keane   +11 more
semanticscholar   +1 more source

Comparison of smartphone-based retinal imaging systems for diabetic retinopathy detection using deep learning

BMC Bioinformatics, 2020
Diabetic retinopathy (DR), the most common cause of vision loss, is caused by damage to the small blood vessels in the retina. If untreated, it may result in varying degrees of vision loss and even blindness.
M. Karakaya, Recep E. Hacisoftaoglu
semanticscholar   +1 more source