Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

David Cunefare

Showing results (1-10 of 30) with videos related to

Pageof 3
Sort By:
IEEE Transactions on Medical Imaging|September 24, 2016
Segmentation Based Sparse Reconstruction of Optical Coherence Tomography ImagesLeyuan Fang, Shutao Li, David Cunefare, et al.
Biomedical Optics Express|September 28, 2018
Deep longitudinal transfer learning-based automatic segmentation of photoreceptor ellipsoid zone defects on optical coherence tomography images of macular telangiectasia type 2Jessica Loo, Leyuan Fang, David Cunefare, et al.
American Journal of Ophthalmology|June 28, 2016
Repeatability of Choroidal Thickness Measurements on Enhanced Depth Imaging Optical Coherence Tomography Using Different Posterior BoundariesVivian S Vuong, Elad Moisseiev, David Cunefare, et al.
Biomedical Optics Express|July 1, 2017
Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph searchLeyuan Fang, David Cunefare, Chong Wang, et al.
Scientific Reports|July 28, 2017
Open source software for automatic detection of cone photoreceptors in adaptive optics ophthalmoscopy using convolutional neural networksDavid Cunefare, Leyuan Fang, Robert F Cooper, et al.
Biomedical Optics Express|August 28, 2019
RAC-CNN: multimodal deep learning based automatic detection and classification of rod and cone photoreceptors in adaptive optics scanning light ophthalmoscope imagesDavid Cunefare, Alison L Huckenpahler, Emily J Patterson, et al.
IEEE Transactions on Medical Imaging|July 11, 2018
Statistical Models of Signal and Noise and Fundamental Limits of Segmentation Accuracy in Retinal Optical Coherence TomographyTheodore B Dubose, David Cunefare, Elijah Cole, et al.
American Journal of Ophthalmology|October 18, 2017
Macular Fluid Reduces Reproducibility of Choroidal Thickness Measurements on Enhanced Depth Optical Coherence TomographySophia S Wong, Vivian S Vuong, David Cunefare, et al.
Journal of Biomedical Optics|August 18, 2016
Length-adaptive graph search for automatic segmentation of pathological features in optical coherence tomography imagesBrenton Keller, David Cunefare, Dilraj S Grewal, et al.
Biomedical Optics Express|May 28, 2016
Automatic detection of cone photoreceptors in split detector adaptive optics scanning light ophthalmoscope imagesDavid Cunefare, Robert F Cooper, Brian Higgins, et al.
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Medical Imaging|September 24, 2016
Segmentation Based Sparse Reconstruction of Optical Coherence Tomography ImagesLeyuan Fang, Shutao Li, David Cunefare, et al.
Biomedical Optics Express|September 28, 2018
Deep longitudinal transfer learning-based automatic segmentation of photoreceptor ellipsoid zone defects on optical coherence tomography images of macular telangiectasia type 2Jessica Loo, Leyuan Fang, David Cunefare, et al.
American Journal of Ophthalmology|June 28, 2016
Repeatability of Choroidal Thickness Measurements on Enhanced Depth Imaging Optical Coherence Tomography Using Different Posterior BoundariesVivian S Vuong, Elad Moisseiev, David Cunefare, et al.
Biomedical Optics Express|July 1, 2017
Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph searchLeyuan Fang, David Cunefare, Chong Wang, et al.
Scientific Reports|July 28, 2017
Open source software for automatic detection of cone photoreceptors in adaptive optics ophthalmoscopy using convolutional neural networksDavid Cunefare, Leyuan Fang, Robert F Cooper, et al.
Biomedical Optics Express|August 28, 2019
RAC-CNN: multimodal deep learning based automatic detection and classification of rod and cone photoreceptors in adaptive optics scanning light ophthalmoscope imagesDavid Cunefare, Alison L Huckenpahler, Emily J Patterson, et al.
IEEE Transactions on Medical Imaging|July 11, 2018
Statistical Models of Signal and Noise and Fundamental Limits of Segmentation Accuracy in Retinal Optical Coherence TomographyTheodore B Dubose, David Cunefare, Elijah Cole, et al.
American Journal of Ophthalmology|October 18, 2017
Macular Fluid Reduces Reproducibility of Choroidal Thickness Measurements on Enhanced Depth Optical Coherence TomographySophia S Wong, Vivian S Vuong, David Cunefare, et al.
Journal of Biomedical Optics|August 18, 2016
Length-adaptive graph search for automatic segmentation of pathological features in optical coherence tomography imagesBrenton Keller, David Cunefare, Dilraj S Grewal, et al.
Biomedical Optics Express|May 28, 2016
Automatic detection of cone photoreceptors in split detector adaptive optics scanning light ophthalmoscope imagesDavid Cunefare, Robert F Cooper, Brian Higgins, et al.
Pageof 3