Rahele Kafieh

University of Durham

United Kingdom

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Research Interests

Medical Imaging

100%

Neurology

80%

Retinal Disease

100%

Ophthalmology

90%

Retinal Imaging

70%

Multiple Sclerosis

50%

Optical Imaging

30%

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Articles18

Analyzing Retinal Vessel Morphology in MS Using Interpretable AI on Deep Learning-Segmented IR-SLO Images

Year:

2025

STRIKE-MS: Synergistic Texture and Raw Intensity Knowledge Extraction for Active MS Lesion Detection on Non-Contrast MRI

Year:

2025

Application of Artificial Intelligence in Ophthalmology: An Updated Comprehensive Review

Year:

2024

Discrimination of multiple sclerosis using scanning laser ophthalmoscopy images with autoencoder-based feature extraction

Year:

2024

Deep learning for discrimination of active and inactive lesions in multiple sclerosis using non-contrast FLAIR MRI: A multicenter study

Year:

2024

Diagnosis of Multiple Sclerosis by Detecting Asymmetry Within the Retina Using a Similarity-Based Neural Network

Year:

2024

CNV-Net: Segmentation, Classification and Activity Score Measurement of Choroidal Neovascularization (CNV) Using Optical Coherence Tomography Angiography (OCTA).

Year:

2023

Application of ImageJ in Optical Coherence Tomography Angiography (OCT-A): A Literature Review

Year:

2023

Biased Deep Learning Methods in Detection of COVID-19 Using CT Images: A Challenge Mounted by Subject-Wise-Split ISFCT Dataset

Year:

2023

Differentiating Glaucomatous Optic Neuropathy From Non-glaucomatous Optic Neuropathies Using Deep Learning Algorithms

Year:

2023

Optimal Deep Learning Architecture for Automated Segmentation of Cysts in OCT Images Using X-Let Transforms

Year:

2023

Deep learning and classic machine learning models in the automatic diagnosis of multiple sclerosis using retinal vessels

Year:

2023

An optimized deep learning approach based on autoencoder network for P300 detection in brain computer interface systems

Year:

2022

Parapapillary choroidal microvascular density in acute primary angle-closure and primary open-angle glaucoma: an optical coherence tomography angiography study

Year:

2022

Intraretinal Layer Segmentation Using Cascaded Compressed U-Nets

Year:

2022

An Interpretable Convolutional Neural Network for P300 Detection: Analysis of Time Frequency Features for Limited Data

Year:

2022

Synthetic OCT data in challenging conditions: three-dimensional OCT and presence of abnormalities

Year:

2022

A Device-Independent, Shape Preserving Retinal Optical Coherence Tomography Image Alignment Method Applying TV-Unet for RPE Layer Detection

Year:

2022

Collaborators2

David Steel

Honorary Professor of Retinal Surgery

Newcastle University

UNITED KINGDOM

Massood Mohammadi

Indiana University Health

UNITED STATES

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