activity
20182024
most citedA feature agnostic approach for glaucoma detection in OCT volumes

215 citations · 218 across the 7 of their papers we have counts for

collaborators

7 papers

eess.IV2024★ 1 cited

A Hybrid Deep Learning Classification of Perimetric Glaucoma Using Peripapillary Nerve Fiber Layer Reflectance and Other OCT Parameters from Three Anatomy Regions

Ou Tan, David S. Greenfield, Brian A. Francis +4

Precis: A hybrid deep-learning model combines NFL reflectance and other OCT parameters to improve glaucoma diagnosis. Objective: To investigate if a deep learning model could be us…

q-bio.QM2024

Focal Loss Analysis of Peripapillary Nerve Fiber Layer Reflectance for Glaucoma Diagnosis

Ou Tan, Dongseok Choi, Aiyin Chen +6

Purpose: To evaluate nerve fiber layer (NFL) reflectance for glaucoma diagnosis using a large dataset. Methods: Participants were imaged with 4.9mm ONH scans using spectral-domain…

cs.CV2021

Uncertainty guided semi-supervised segmentation of retinal layers in OCT images

Suman Sedai, Bhavna Antony, Ravneet Rai +5

Deep convolutional neural networks have shown outstanding performance in medical image segmentation tasks. The usual problem when training supervised deep learning methods is the l…

eess.IV2020

Self-supervised Denoising via Diffeomorphic Template Estimation: Application to Optical Coherence Tomography

Guillaume Gisbert, Neel Dey, Hiroshi Ishikawa +3

Optical Coherence Tomography (OCT) is pervasive in both the research and clinical practice of Ophthalmology. However, OCT images are strongly corrupted by noise, limiting their int…

cs.LG2020

Dueling Deep Q-Network for Unsupervised Inter-frame Eye Movement Correction in Optical Coherence Tomography Volumes

Yasmeen M. George, Suman Sedai, Bhavna J. Antony +4

In optical coherence tomography (OCT) volumes of retina, the sequential acquisition of the individual slices makes this modality prone to motion artifacts, misalignments between ad…

cs.CV2019★ 2 cited

Inference of visual field test performance from OCT volumes using deep learning

Stefan Maetschke, Bhavna Antony, Hiroshi Ishikawa +3

Visual field tests (VFT) are pivotal for glaucoma diagnosis and conducted regularly to monitor disease progression. Here we address the question to what degree aggregate VFT measur…

cs.CV2018★ 215 cited

A feature agnostic approach for glaucoma detection in OCT volumes

Stefan Maetschke, Bhavna Antony, Hiroshi Ishikawa +3

Optical coherence tomography (OCT) based measurements of retinal layer thickness, such as the retinal nerve fibre layer (RNFL) and the ganglion cell with inner plexiform layer (GCI…