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Professor Bhavna Antony

Professor, Information Technology

Information Technology 04

Section/Portfolio:

Location:

Berwick Campus, Online

Field of Research

  • Multimodal analysis and synthesis
  • Computer vision
  • Ophthalmology

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

  • Conference Proceedings

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

  • Conference Proceedings

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