Dr. Yaroub Elloumi Profile

Dr. Yaroub Elloumi

at Laboratoire TIM

SPIE Involvement:

Author

Publications (8)

Proceedings Article | 4 January 2021 Paper

Fast and accurate mobile-aided screening system of moderate diabetic retinopathy

Yaroub Elloumi, Manef Ben Mbarek, Rahma Boukadida, Mohamed Akil, Mohamed Hedi Bedoui

Proceedings Volume 11605, 116050U (2021) https://doi.org/10.1117/12.2588505

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SPIE Journal Paper | 2 December 2020

Efficient graphical-processor-unit parallelization algorithm for computing Eigen values

Sofien Bensayadia, Yaroub Elloumi, Mohamed Akil, Mohamed Hédi Bedoui

JEI, Vol. 29, Issue 06, 063008, (December 2020) https://doi.org/10.1117/12.10.1117/1.JEI.29.6.063008

KEYWORDS: Image segmentation, Image processing, Computer architecture, Databases, Pathology, Gaussian filters, Data modeling, Image filtering, Data processing, Image enhancement

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Proceedings Article | 20 May 2020 Paper

Computational aspects of deep learning models for detection of eye retina abnormalities

M. Akil, Y. Elloumi, R. Kachouri

Proceedings Volume 11401, 1140109 (2020) https://doi.org/10.1117/12.2557601

KEYWORDS: Eye models, Performance modeling, Data modeling, Convolution, Eye, Retina

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Proceedings Article | 22 April 2020 Presentation + Paper

A deep learning-based smartphone app for real-time detection of five stages of diabetic retinopathy

S. Majumder, Y. Elloumi, M. Akil, R. Kachouri, N. Kehtarnavaz

Proceedings Volume 11401, 1140106 (2020) https://doi.org/10.1117/12.2557554

KEYWORDS: Neural networks, Eye, Cameras, Retina, Image classification, Image processing

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Proceedings Article | 14 May 2019 Presentation + Paper

Detection of retinal abnormalities using smartphone-captured fundus images: a survey

Mohamed Akil, Yaroub Elloumi

Proceedings Volume 10996, 109960K (2019) https://doi.org/10.1117/12.2519094

KEYWORDS: Pathology, Image quality, Cameras, Photography, Image processing, Lenses, Retina, Ophthalmoscopy, Eye, Ophthalmology

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Proceedings Article | 14 May 2019 Paper

Ocular diseases diagnosis in fundus images using a deep learning: approaches, tools and performance evaluation

Yaroub Elloumi, Mohamed Akil, Henda Boudegga

Proceedings Volume 10996, 109960T (2019) https://doi.org/10.1117/12.2519098

KEYWORDS: Pathology, Convolution, Surface plasmons, Image segmentation, Data modeling, Image enhancement, Image processing, MATLAB, Neural networks, Gaussian filters

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