activity
20132022
most citedTowards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning

4 citations · 8 across the 7 of their papers we have counts for

collaborators

7 papers

eess.IV2022

Localizing Anatomical Landmarks in Ocular Images using Zoom-In Attentive Networks

Xiaofeng Lei, Shaohua Li, Xinxing Xu +9

Localizing anatomical landmarks are important tasks in medical image analysis. However, the landmarks to be localized often lack prominent visual features. Their locations are elus…

eess.IV2021

The Three-Dimensional Structural Configuration of the Central Retinal Vessel Trunk and Branches as a Glaucoma Biomarker

Satish K. Panda, Haris Cheong, Tin A. Tun +10

Purpose: To assess whether the three-dimensional (3D) structural configuration of the central retinal vessel trunk and its branches (CRVT&B) could be used as a diagnostic marker fo…

eess.IV2020

Describing the Structural Phenotype of the Glaucomatous Optic Nerve Head Using Artificial Intelligence

Satish K. Panda, Haris Cheong, Tin A. Tun +8

The optic nerve head (ONH) typically experiences complex neural- and connective-tissue structural changes with the development and progression of glaucoma, and monitoring these cha…

eess.IV2020★ 4 cited

Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning

Sripad Krishna Devalla, Tan Hung Pham, Satish Kumar Panda +16

Since the introduction of optical coherence tomography (OCT), it has been possible to study the complex 3D morphological changes of the optic nerve head (ONH) tissues that occur al…

eess.IV2019

Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images

Tan Hung Pham, Sripad Krishna Devalla, Aloysius Ang +6

Accurate isolation and quantification of intraocular dimensions in the anterior segment (AS) of the eye using optical coherence tomography (OCT) images is important in the diagnosi…

stat.ME2018★ 4 cited

VIMCO: Variational Inference for Multiple Correlated Outcomes in Genome-wide Association Studies

Xingjie Shi, Yuling Jiao, Yi Yang +4

In Genome-Wide Association Studies (GWAS) where multiple correlated traits have been measured on participants, a joint analysis strategy, whereby the traits are analyzed jointly, c…