Ocular Image Analysis Research Group

School of Advanced Medical Technologies in Medicine (ATiM)

About


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.

About

ACHIVEMENT

Ocular Image Analysis Research Group

Goals


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).
Goals

ACHIVEMENT


  •  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.

ACHIVEMENT

Open positions


  • 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

Open positions Open positions

Articles


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.

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Team


Dr. Hossein Rabbani

manager

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

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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

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Dr. Zahra Amini

Associate professor at IUMS

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

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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

Contact


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