Ocular Image Analysis Research Group

School of Advanced Medical Technologies in Medicine (ATiM)

The Ocular Images Analysis Research Group provides an environment to gather researchers which are interested in this field. The main goal of this research group is to present efficient algorithms for automatic and semi-automatic ocular image analysis.
The first session was held up in autumn 2009 and has been going on till now on Sundays at 2.00 pm.

The main goals of this research center can be summarized into five main goals:

Modeling
Preprocessing
Segmentation
feature extraction
and classification.

The mentioned topics are ordered from most principal subjects (modeling) to more practical areas (classification).

3rd rank in the OPTIMA Retinal Cyst Segmentation Challenge, MICCAI 2015 to extract the cysts from OCT images by Dr. Esmaeeli.

The Winner of ICASSP 2011 Travel Grant

The Winner of IEEE Signal Processing Society (SPS) Grant in Proc. 2010 IEEE International Conference on Image Processing (ICIP)
The Winner of IEEE ICIP Student Author Participation Award in Proc. 2009 IEEE International Conference on Image Processing (ICIP)
The winner of research Scholarship of TUBITAK 2216, 2014.
Election as the best booth in the second annual conference of AMT faculty.

portable ocular imaging device
Mathematical modeling of 3-D OCT images
Geometrical modeling of 3-D OCT images
Multivariate statistical modeling of 3-D OCT images
Application of MCA for ocular Images
Classification of ocular images using the Optimum basic functions
Classification of vein and artery based on pulsation in angiographic images
Segmentation of retinal layers of OCT images in patients with retinal holes
Combination the information of OCT and ERG
High Order Spectral (HOS) analysis of OCT images to analyze the layers
Comparison of OCT in left and right eyes in diabetic patients
Glaucoma diagnosis based on RNFL tissue
Comparison of GCL and RNFL thickness based on OCT
Detection occlusion of vessel based on OCT
Comparison of confocal microscopy with OCT projection results in corneal imaging
Vessel segmentation in EDI OCT
Classification of retinal vessels by point elongation method
Automatic detection foci in OCT image
Finding the optimal basis of retinal layers in OCT images
Micro aneurysm detection in OCT images

Local comparison of cup to disc ratio in right and left eyes based on fusion of color fundus images and OCT B-scans

Optical coherence tomography image denoising using Gaussianization transform

Thickness mapping of eleven retinal layers segmented using the diffusion maps method in normal eyes

A hybrid graph-based approach for right ventricle segmentation in cardiac MRI by long axis information transition

Publication

The Ocular Images Analysis Research Group provides an environment to gather researchers which are interested in this field. The main goal of this research group is to present efficient algorithms for automatic and semi-automatic ocular image analysis. The first session was held up in autumn 2009 and has been going on till now on Sundays at 2.00 pm.

Dr. Hossein Rabbani

manager

Associate professor at Isfahan University of Medicine Science IUMS, senior member of IEEE, founder of Medical Image & Signal Processing(MISP)

Dr. Raheleh Kafieh

Associate professor at IUMS

Title of PhD. thesis Combination of graph based and space-frequency methods in analysis of optical coherence tomography (OCT) images

Dr. Zahra Amini

Associate professor at IUMS

Title of PhD. thesis A new model based on multivariate gaussization of OCT

Dr. Alireza Mehri

Professor at IUMS

Mohammadreza akhlaghi

Associate Professor of Retina & Vitreous

School of Medicine Isfahan Eye Research Center Isfahan University of Medical Sciences

Dr. Alireza Vard

Assistant Professor

Iran
Eight corner Cottage (former library), next to the EDC building, Isfahan University of Medical Sciences

Ocular Image Analysis Research Group

School of Advanced Medical Technologies in Medicine (ATiM)

About

Goals

ACHIVEMENT

Open positions

Articles