Zobrazeno 1 - 10
of 40
pro vyhledávání: '"David E. Freund"'
Publikováno v:
JAMA ophthalmology. 136(12)
Importance Although deep learning (DL) can identify the intermediate or advanced stages of age-related macular degeneration (AMD) as a binary yes or no, stratified gradings using the more granular Age-Related Eye Disease Study (AREDS) 9-step detailed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3036d5fb157d0ade8abab87ec33d227
https://pubmed.ncbi.nlm.nih.gov/30242352
https://pubmed.ncbi.nlm.nih.gov/30242352
Autor:
David E. Freund, Philippe Burlina, Jun Kong, Neil Joshi, Arnaldo Horta, Neil M. Bressler, Katia D. Pacheco, Michael Pekala
Publikováno v:
ICMLA
This work investigates a hybrid method based on random forests and deep image features to combine non-visual side channel information with image data for classification. We apply this to automated retinal image analysis (ARIA) and the detection of ag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::332f4b3eba27110030741305e553f7cb
https://doi.org/10.1109/icmla.2017.00-75
https://doi.org/10.1109/icmla.2017.00-75
Publikováno v:
Computers in biology and medicine. 82
BackgroundWhen left untreated, age-related macular degeneration (AMD) is the leading cause of vision loss in people over fifty in the US. Currently it is estimated that about eight million US individuals have the intermediate stage of AMD that is oft
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d176412de40f7c7fbbbe102da080c81
https://pubmed.ncbi.nlm.nih.gov/28167406
https://pubmed.ncbi.nlm.nih.gov/28167406
Publikováno v:
ISBI
Age-related macular generation (AMD) — when left untreated — is the main cause of blindness for individuals over the age of 50. With the US population now counting over 100 million individuals over 50, it is imperative to develop methods that can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7022a34610c3b0ac6cc9f3111ef06381
https://doi.org/10.1109/isbi.2016.7493240
https://doi.org/10.1109/isbi.2016.7493240
Utility of Deep Learning Methods for Referability Classification of Age-Related Macular Degeneration
Autor:
David E. Freund, Jun Kong, Neil Joshi, Phillippe M. Burlina, Katia D. Pacheco, Neil M. Bressler
Publikováno v:
JAMA Ophthalmology. 136:1305
This study uses fundus images from a national data set to assess 2 deep learning methods for referability classification of age-related macular degeneration.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81fe3f8ddfc4b0342a46ee4ededa77fd
https://doi.org/10.1001/jamaophthalmol.2018.3799
https://doi.org/10.1001/jamaophthalmol.2018.3799
Background: Age-related macular degeneration (AMD), left untreated, is the leading cause of vision loss in people older than 55. Severe central vision loss occurs in the advanced stage of the disease, characterized by either the in growth of choroida
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c02ae7e0e7c1addff0778106d1824538
https://europepmc.org/articles/PMC4670087/
https://europepmc.org/articles/PMC4670087/
Autor:
Michael Pekala, Katia D. Pacheco, Neil M. Bressler, Philippe Burlina, Neil Joshi, David E. Freund
Publikováno v:
JAMA Ophthalmology. 135:1170
Importance Age-related macular degeneration (AMD) affects millions of people throughout the world. The intermediate stage may go undetected, as it typically is asymptomatic. However, the preferred practice patterns for AMD recommend identifying indiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17416d3df172ac0d64565f682e3c420e
https://doi.org/10.1001/jamaophthalmol.2017.3782
https://doi.org/10.1001/jamaophthalmol.2017.3782
Publikováno v:
Waves in Random Media. 11:33-43
This paper is a companion to our previous contribution deriving a new approximate bistatic model for electromagnetic scattering from perfectly conducting rough surfaces. We evaluate this model numerically and compare it with an ‘exact’ numerical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c94456240bae9d813d15b1b686355fdf
https://doi.org/10.1088/0959-7174/11/1/303
https://doi.org/10.1088/0959-7174/11/1/303
Autor:
Morgana M. Trexler, Xiomara Calderon-Colon, Daniel G. Mulreany, Qiongyu Guo, David E. Freund, Russell L. McCally, Oliver D. Schein, Jennifer L. Breidenich, Oscar M. Uy, Zhiyong Xia, Jennifer H. Elisseeff, Jason E. Tiffany
Publikováno v:
Biomaterials. 33(33)
The frequency of ocular injuries on the battlefield has been steadily increasing during recent conflicts. Combat-related eye injuries are difficult to treat and solutions requiring donor tissue are not ideal and are often not readily available. Colla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51ccb52f5f9f6b33fc049f9b2d4f06ca
https://pubmed.ncbi.nlm.nih.gov/22920579
https://pubmed.ncbi.nlm.nih.gov/22920579
Publikováno v:
EMBC
We describe a novel approach for screening retinal imagery to detect evidence of abnormalities. In this paper, we focus our efforts on age-related macular degeneration (AMD), a pathology that may often go undetected in the early or intermediate stage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::865371a627488318319c59772bca4fe3
https://pubmed.ncbi.nlm.nih.gov/22255207
https://pubmed.ncbi.nlm.nih.gov/22255207