Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Muneeswar, Nittala"'
Autor:
Navid Manafi, Deniz Oncel, Aditya Verma, Giulia Corradetti, Shin Kadomoto, Alireza Mahmoudi, Ahmed Alagorie, Ramasamy Kim, Jano van Hemert, Naresh Yadav, Rajeev Pappuru, Adnan Tufail, Houri Esmaeilkhanian, Muneeswar Nittala, Rajiv Raman, Srinivas Sadda
Background/Objectives: To assess the relationship between macular vessel density metrics and foveal avascular zone (FAZ) characteristics on optical coherence tomography angiography (OCTA) and lesion distribution in eyes with diabetic retinopathy (DR)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1904d80e09d6a77530d7e08a62aaba72
https://doi.org/10.21203/rs.3.rs-2566330/v1
https://doi.org/10.21203/rs.3.rs-2566330/v1
Autor:
Ahmed Alagorie, Giulia Corradetti, Iksoo Byon, Liran Tiosano, Yongsok Ji, Muneeswar Nittala, Swetha Bindu Velaga, Marco Nassisi, Srinivas Sadda
Objective: To evaluate the effect of changing slab position on the correlation between choriocapillaris (CC) flow deficits (FD) in eyes with geographic atrophy (GA) and yearly enlargement rate (yER) of GA. Methods: OCT and OCTA images obtained on Cir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b21adcfa46a5c555c6b79bdd9c77aada
https://doi.org/10.21203/rs.3.rs-2192009/v1
https://doi.org/10.21203/rs.3.rs-2192009/v1
Autor:
Michael D. Osterman, Yeunjoo E. Song, Muneeswar Nittala, SriniVas R. Sadda, William K. Scott, Dwight Stambolian, Margaret A. Pericak-Vance, Jonathan L. Haines
Publikováno v:
Investigative ophthalmologyvisual science. 63(8)
The purpose of this study was to identify genetic risk loci for retinal traits, including drusen, in an Amish study population and compare these risk loci to known risk loci of age-related macular degeneration (AMD).Participants were recruited from A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ccdb79d609c237e7d6438758af77429
https://pubmed.ncbi.nlm.nih.gov/35857289
https://pubmed.ncbi.nlm.nih.gov/35857289
Autor:
Adnan, Tufail, Caroline, Rudisill, Catherine, Egan, Venediktos V, Kapetanakis, Sebastian, Salas-Vega, Christopher G, Owen, Aaron, Lee, Vern, Louw, John, Anderson, Gerald, Liew, Louis, Bolter, Sowmya, Srinivas, Muneeswar, Nittala, SriniVas, Sadda, Paul, Taylor, Alicja R, Rudnicka
Publikováno v:
Ophthalmology. 124(3)
With the increasing prevalence of diabetes, annual screening for diabetic retinopathy (DR) by expert human grading of retinal images is challenging. Automated DR image assessment systems (ARIAS) may provide clinically effective and cost-effective det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::af7c8daa7cb310aa738871c978a00b60
https://pubmed.ncbi.nlm.nih.gov/28024825
https://pubmed.ncbi.nlm.nih.gov/28024825