45 citations · 52 across the 8 of their papers we have counts for
8 papers
Optical Coherence Tomography Image Enhancement via Block Hankelization and Low Rank Tensor Network Approximation
Farnaz Sedighin, Andrzej Cichocki, Hossein Rabbani
In this paper, the problem of image super-resolution for Optical Coherence Tomography (OCT) has been addressed. Due to the motion artifacts, OCT imaging is usually done with a low…
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…
Multiscale Sparsifying Transform Learning for Image Denoising
Ashkan Abbasi, Amirhassan Monadjemi, Leyuan Fang +3
The data-driven sparse methods such as synthesis dictionary learning (e.g., K-SVD) and sparsifying transform learning have been proven effective in image denoising. However, they a…
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…
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…
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…
Thickness Mapping of Eleven Retinal Layers in Normal Eyes Using Spectral Domain Optical Coherence Tomography
Raheleh Kafieh, Hossein Rabbani, Fedra Hajizadeh +2
Purpose. This study was conducted to determine the thickness map of eleven retinal layers in normal subjects by spectral domain optical coherence tomography (SD-OCT) and evaluate t…
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…