Adnan
RASHID CHAUDHRY
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Apt: 98, 3 TER Rue de Ferrare Raymond Fischesser 77300 Fontainebleau Tel. (mobile): 0033625135012 E-mail : adnan.rashid(-at-)cmm.ensmp.fr Nationality: Pakistani D.O.B: 31-03-1982 Single |
Official
postal address: Adnan Rashid Chaudhry Attaché de
Recherche Centre de Morphologie
Mathématique – École des Mines de Paris Tel. : (33) 1 64 69 44
17 Fax. : (33) 1 64 69 47
07 35, rue St
Honoré 77305 Fontainebleau cedex, FRANCE
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Introduction
My name is Adnan Rashid Chaudhry. I am presently doing my thesis at the Centre de Morphologie Mathematique (CMM) Ecole des Mines de Paris (ParisTech). My main area of interest is medical image processing. From more than two years, I have been working on retinal image processing under the supervision of Jean-Claude Klein[1] who is one of the worldwide recognized experts in image processing related to ophthalmology.
For more than 10 years, Jean-Claude Klein has been engaged in research related to the processing of eye fundus images. Two main ophthalmologic areas of research being conducting at the CMM are “Diabetic Retinopathy” and “Age-Related Macular Degeneration”. Previously, a thesis has been conducted at the CMM on the Diabetic Retinopathy. The objectives of that research were the automatic detection of anatomical elements (Vessels, Optic Disk, Macula) and lesions (microaneurisms, hemorrhages, exudates).
The project is an on going research. During the first eight months of my thesis, I have improved the algorithms and the software modules developed by Thomas Walter during his thesis on a computer-assisted system for diabetic retinopathy diagnosis.
For more information please click
http://cmm.ensmp.fr/~walter/abstract.htm
Presently, I am working on my thesis titled as “Image processing Applications on Eye Fundus Autofluorescence images for Quantification and classification of Age-Related Macular Degeneration (AMD)”. The eye Fundus AutoFluorescence (FAF) is the latest image modality for the diagnosis of AMD. The image processing on FAF modality is much harder than on color fundus images for the development of automatic image processing tools. FAF images are monochromatic and show a low signal to noise ratio. In spite of these inconveniencies, I have successfully developed automatic tools for the detection of anatomical elements of retina, image registration techniques for multimodal retinal images, shading correction, image normalization and detection of AMD lesions. (Objectives of the Thesis)
During the course of my thesis, I have closely worked with experts in ophthalmology[2] for image databases development, description of medical objectives and evaluation of the methods, I have developed.
Note: My thesis will be defended by the end of September (2009).
EDUCATION
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2006-2009 |
PhD THESIS (FINAL YEAR) Title: Image processing Applications on Eye Fundus Autofluorescence images for Quantification and classification of Age-Related Macular Degeneration.ECOLE DES MINES DE
PARIS, Centre de Morphologie Mathématique (CMM), 35, rue Saint Honoré, 77305
Fontainebleau |
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2005-2006 |
RESEARCH
MasterS Course: Computer graphics
and Image Processing (INSA) INSTITUT NATIONAL DES SCIENCE APPLIQUEES DE
LYON-(France) |
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2005-2005 |
FRENCH
COURSES CUEF, Grenoble France et A l’Alliances
Français Islamabad, Pakistan |
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2001-2005 |
BACHELORS OF SOFTWARE ENGINEERING (CGPA=3.9/4) APCOMS, |
PUBLICATIONS
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2008 |
Ophthalmologic image registration based on Shape-Context: application
to Fundus Auto-Fluorescence (FAF) images ¨
Presented at the conference: The IASTED
conference on Visualization, Imaging and Image Processing (VIIP 2008),
September 1–3, 2008, Classification of Fundus Auto-Fluorescence (FAF) Patterns in
Age-Related Macular Diseases (AMD) ¨ Presented at the
conference: The ARVO’s 2008 Annual Meeting, Eyes on innovation, April
27-May 1, 2008, at |
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2009 |
Automatic macula detection in human eye
fundus autofluorescence images: Application to eye disease localization ¨ To be presented at the conference:
The 10th European Congress of Stereology and Image Analysis, University of Uniformisation
de l’éclairage en imagerie rétinienne : Application pour
les images d’autofluorescence du fond d’œil ¨ To be presented at the conference: The 22nd
edition of GRETSI, September 2009, Université
de Bourgogne, |
PROJECTS AND SKILLS
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2005-2006 |
Extraction of
Meta-Data from Old Arab Manuscripts And Documents (Internship)
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2004 |
3-D position
estimation
“Free
Hand Tool For Object Extraction “
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2003 |
Language recognizer
Human typing
habit recognizer
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2002 |
FFT
implementation Objective: 2-D FFT of an image
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