Professor Bhavna Antony
Professor, Information Technology
DIRECTIONAL OPTICAL COHERENCE TOMOGRAPHY IMAGING OF MACULAR PATHOLOGY
A Multi-Modal AI-Driven Cohort Selection Tool to Predict Suboptimal Non-Responders to Aflibercept Loading-Phase for Neovascular Age-Related Macular Degeneration: PRECISE Study Report 1
Mixed multiscale BM4D for three-dimensional optical coherence tomography denoising
Navigating the Terrain of Large Language Models in Higher Education- A systematic literature review
A Case for the Use of Artificial Intelligence in Glaucoma Assessment
Directional reflectivity of the ellipsoid zone in dry age-related macular degeneration
Estimating Global Visual Field Indices in Glaucoma by Combining Macula and Optic Disc OCT Scans Using 3-Dimensional Convolutional Neural Networks
Attention-Guided 3D-CNN Framework for Glaucoma Detection and Structural-Functional Association Using Volumetric Images
Forecasting Retinal Nerve Fiber Layer Thickness from Multimodal Temporal Data Incorporating OCT Volumes
3D-CNN for Glaucoma Detection Using Optical Coherence Tomography
A feature agnostic approach for glaucoma detection in OCT volumes
A new promising way for tackling the 'Pharma Dilemma': Artificial intelligence for clinical trials
Artificial Intelligence for Clinical Trial Design
Automated summarisation of SDOCT volumes using deep learning: Transfer learning vs de novo trained networks
Layer boundary evolution method for macular OCT layer segmentation
Uncertainty guided semi-supervised segmentation of retinal layers in OCT images
Analysis of Agreement of Retinal-Layer Thickness Measures Derived from the Segmentation of Horizontal and Vertical Spectralis OCT Macular Scans
Deformable medical image registration using generative adversarial networks
Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images Using Bayesian Deep Learning
Retinal optical coherence tomography image enhancement via deep learning
The henle fiber layer in albinism: Comparison to normal and relationship to outer nuclear layer thickness and foveal cone density
Automated segmentation of mouse OCT volumes (ASiMOV): Validation & clinical study of a light damage model
Collaborative SDOCT segmentation and analysis software
Longitudinal Analysis of Mouse SDOCT Volumes
Novel method using 3-dimensional segmentation in spectral domain-optical coherence tomography imaging in the chick reveals defocus-induced regional and time-sensitive asymmetries in the choroidal thickness
Simultaneous Segmentation of Retinal Surfaces and Microcystic Macular Edema in SDOCT Volumes
Voxel based morphometry in optical coherence tomography: Validation & core findings
Directional Optical Coherence Tomography Provides Accurate Outer Nuclear Layer and Henle Fiber Layer Measurements
3D graph-based automated segmentation of corneal layers in anterior-segment optical coherence tomography images of mice
Automated 3D segmentation of multiple surfaces with a shared hole: Segmentation of the neural canal opening in SD-OCT volumes
Incorporation of learned shape priors into a graph-theoretic approach with application to the 3D segmentation of intraretinal surfaces in SD-OCT volumes of mice
A combined machine-learning and graph-based framework for the segmentation of retinal surfaces in SD-OCT volumes
Incorporation of Texture-based Features in Optimal Graph-Theoretic Approach with Application to the 3-D Segmentation of Intraretinal Surfaces in SD-OCT Volumes
Automated 3-D method for the correction of axial artifacts in spectral-domain optical coherence tomography images
Automated 3-D segmentation of intraretinal layers from optic nerve head optical coherence tomography images