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

Johnny Tam

Showing results (11-20 of 52) with videos related to

Pageof 6
Sort By:
Investigative Ophthalmology & Visual Science|October 30, 2018
Cone Photoreceptor Cell Segmentation and Diameter Measurement on Adaptive Optics Images Using Circularly Constrained Active Contour ModelJianfei Liu, HaeWon Jung, Alfredo Dubra, et al.
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections : First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings|April 25, 2022
Automated Iterative Label Transfer Improves Segmentation of Noisy Cells in Adaptive Optics Retinal ImagesJianfei Liu, Nancy Aguilera, Tao Liu, et al.
Microscopy Research and Technique|March 12, 2014
Super-resolution imaging with stochastic single-molecule localization: concepts, technical developments, and biological applicationsAnna Oddone, Ione Verdeny Vilanova, Johnny Tam, et al.
Biomedical Optics Express|January 8, 2019
Trans-retinal cellular imaging with multimodal adaptive opticsZhuolin Liu, Johnny Tam, Osamah Saeedi, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 8, 2019
Active Appearance Model Induced Generative Adversarial Network for Controlled Data AugmentationJianfei Liu, Christine Shen, Tao Liu, et al.
Ophthalmic Medical Image Analysis : 6Th International Workshop, OMIA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, Proceedings. OMIA (Workshop) (6Th : 2019 : Shenzhen Shi, China)|November 9, 2019
Deriving Visual Cues from Deep Learning to Achieve Subpixel Cell Segmentation in Adaptive Optics Retinal ImagesJianfei Liu, Christine Shen, Tao Liu, et al.
Biomedical Optics Express|October 31, 2017
Noninvasive near infrared autofluorescence imaging of retinal pigment epithelial cells in the human retina using adaptive opticsTao Liu, HaeWon Jung, Jianfei Liu, et al.
NPJ Artificial Intelligence|December 12, 2025
Artificial intelligence-assisted retinal imaging enables dense pixel sampling from sparse measurementsVineeta Das, Andrew J Bower, Nancy Aguilera, et al.
Communications Biology|November 21, 2018
Combining multimodal adaptive optics imaging and angiography improves visualization of human eyes with cellular-level resolutionHaeWon Jung, Tao Liu, Jianfei Liu, et al.
IEEE Journal of Biomedical and Health Informatics|August 6, 2020
Spatially Aware Dense-LinkNet Based Regression Improves Fluorescent Cell Detection in Adaptive Optics Ophthalmic ImagesJianfei Liu, Yoo-Jean Han, Tao Liu, et al.
Pageof 6

Showing results (11-20 of 52) with videos related to

Sort By:
Pageof 6
Investigative Ophthalmology & Visual Science|October 30, 2018
Cone Photoreceptor Cell Segmentation and Diameter Measurement on Adaptive Optics Images Using Circularly Constrained Active Contour ModelJianfei Liu, HaeWon Jung, Alfredo Dubra, et al.
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections : First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings|April 25, 2022
Automated Iterative Label Transfer Improves Segmentation of Noisy Cells in Adaptive Optics Retinal ImagesJianfei Liu, Nancy Aguilera, Tao Liu, et al.
Microscopy Research and Technique|March 12, 2014
Super-resolution imaging with stochastic single-molecule localization: concepts, technical developments, and biological applicationsAnna Oddone, Ione Verdeny Vilanova, Johnny Tam, et al.
Biomedical Optics Express|January 8, 2019
Trans-retinal cellular imaging with multimodal adaptive opticsZhuolin Liu, Johnny Tam, Osamah Saeedi, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 8, 2019
Active Appearance Model Induced Generative Adversarial Network for Controlled Data AugmentationJianfei Liu, Christine Shen, Tao Liu, et al.
Ophthalmic Medical Image Analysis : 6Th International Workshop, OMIA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, Proceedings. OMIA (Workshop) (6Th : 2019 : Shenzhen Shi, China)|November 9, 2019
Deriving Visual Cues from Deep Learning to Achieve Subpixel Cell Segmentation in Adaptive Optics Retinal ImagesJianfei Liu, Christine Shen, Tao Liu, et al.
Biomedical Optics Express|October 31, 2017
Noninvasive near infrared autofluorescence imaging of retinal pigment epithelial cells in the human retina using adaptive opticsTao Liu, HaeWon Jung, Jianfei Liu, et al.
NPJ Artificial Intelligence|December 12, 2025
Artificial intelligence-assisted retinal imaging enables dense pixel sampling from sparse measurementsVineeta Das, Andrew J Bower, Nancy Aguilera, et al.
Communications Biology|November 21, 2018
Combining multimodal adaptive optics imaging and angiography improves visualization of human eyes with cellular-level resolutionHaeWon Jung, Tao Liu, Jianfei Liu, et al.
IEEE Journal of Biomedical and Health Informatics|August 6, 2020
Spatially Aware Dense-LinkNet Based Regression Improves Fluorescent Cell Detection in Adaptive Optics Ophthalmic ImagesJianfei Liu, Yoo-Jean Han, Tao Liu, et al.
Pageof 6