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20122022
most citedIntra-Retinal Layer Segmentation of 3D Optical Coherence Tomography Using Coarse Grained Diffusion Map

4 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

eess.IV2022

Automatic Detection of Microaneurysms in OCT Images Using Bag of Features

Elahe Sadat Kazemi Nasab, Ramin Almasi, Bijan Shoushtarian +2

Diabetic Retinopathy (DR) caused by diabetes occurs as a result of changes in the retinal vessels and causes visual impairment. Microaneurysms (MAs) are the early clinical signs of…

eess.IV2019

An Exact and Fast CBCT Reconstruction via Pseudo-Polar Fourier Transform based Discrete Grangeat's Formula

N. Teyfouri, H. Rabbani, R. Kafieh +1

The recent application of Fourier Based Iterative Reconstruction Method (FIRM) has made it possible to achieve high-quality 2D images from a fan beam Computed Tomography (CT) scan…

eess.IV2019

Classification of dry age-related macular degeneration and diabetic macular edema from optical coherence tomography images using dictionary learning

Elahe Mousavi, Rahele Kafieh, Hossein Rabbani

Age-related Macular Degeneration (AMD) and Diabetic Macular Edema (DME) are the major causes of vision loss in developed countries. Alteration of retinal layer structure and appear…

cs.CV2018

Three-dimensional Optical Coherence Tomography Image Denoising through Multi-input Fully-Convolutional Networks

Ashkan Abbasi, Amirhassan Monadjemi, Leyuan Fang +2

In recent years, there has been a growing interest in applying convolutional neural networks (CNNs) to low-level vision tasks such as denoising and super-resolution. Due to the coh…

cs.CV20124 cited

Intra-Retinal Layer Segmentation of 3D Optical Coherence Tomography Using Coarse Grained Diffusion Map

Raheleh Kafieh, Hossein Rabbani, Michael D. Abramoff +1

Optical coherence tomography (OCT) is a powerful and noninvasive method for retinal imaging. In this paper, we introduce a fast segmentation method based on a new variant of spectr…