Rahele Kafieh

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Here you can find my research and educational activities.

Biography image
Welcome to my website. I’m Rahele Kafieh, an assistant professor in Engineering Department at Durham University, Durham, United Kingdom. My research is concentrated on biomedical image analysis with more emphasis on ocular data. Form theoretical point of view, I like working on deep learning, graph based image analysis, and time-frequency methods, with purpose of segmentation, restoration and classification of medical data. I a member of BioMedEng Association and Institute Of Physics & Engineering In Medicine (IPEM).

I was a Research Associate, at the Institute of Biosciences, at Newcastle University, Newcastle upon Tyne, United Kingdom from 2021 to 2022, where my research was focused on the role of artificial intelligence (AI) in detection of neurological diseases from the eye.

I obtained my first tenure post as an assistant professor in School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Iran, in 2014 and remained there for 7 years, during which I obtained valuable experience in teaching and supervision of projects at the undergraduate and graduate levels. My research in Iran was focused on machine learning for biomedical image processing through close collaboration with clinicians.

I was a guest researcher at Neurocure Clinical Research Center, Charite University, Berlin, Germany in 2018 and 2019.

Here is link to my Google Scholar profile and Publications.

For Academic website, please visit https://www.durham.ac.uk/staff/raheleh-kafieh/

EXPERIENCES

 
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RESEARCH INTERESTS

Diffusion map segmentation

Med Image Anal. 2013

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3D Multi Scale Atomic Representation of OCT

IEEE Transactions on Medical Imaging 2015

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Lightweight Mimic denoising

IEEE Transactions on Instrumentation and Measurement 2021

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Livelayer

Scientific Reports 2021

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Database collection for MS and NMO

Multiple Sclerosis and Related Disorders 2021

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OCT Texture Analysisto differentiate HC and MS

BioMed Research International 2021

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Deep-covid

Med Image Anal. 2020

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COVID TV-Unet

Computer Methods and Programs in Biomedicine Update 2021

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Isfahan and Covid-19: Deep spatiotemporal rep

Chaos, Solitons and Fractals 2020

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Covid-19 in iran

Computational and Mathematical Methods in Medicine 2021

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Diffusion map segmentation

Med Image Anal. 2013

Learn More

3D Multi Scale Atomic Representation of OCT

IEEE Transactions on Medical Imaging 2015

Learn More

Livelayer

Scientific Reports 2021

Learn More

Lightweight Mimic denoising

IEEE Transactions on Instrumentation and Measurement 2021

Learn More

Database collection for MS and NMO

Multiple Sclerosis and Related Disorders 2021

Learn More

OCT Texture Analysisto differentiate HC and MS

BioMed Research International 2021

Learn More

Database collection for MS and NMO

Multiple Sclerosis and Related Disorders 2021

Learn More

OCT Texture Analysisto differentiate HC and MS

BioMed Research International 2021

Learn More

Deep-covid

Med Image Anal. 2020

Learn More

COVID TV-Unet

Computer Methods and Programs in Biomedicine Update 2021

Learn More

Covid-19 in iran

Computational and Mathematical Methods in Medicine 2021

Learn More

Isfahan and Covid-19: Deep spatiotemporal rep

Chaos, Solitons and Fractals 2020

Learn More

USEFUL LINKS

About deep learning OCT image analysis Datasets Covid-related AI

Ocular image processing

Are you interested?

  • durham university
  • Engineering Department, Durham University
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