Mohamed AKIL

Mohamed AKIL

ESIEE Paris

H-index: 18

Europe-France

About Mohamed AKIL

Mohamed AKIL, With an exceptional h-index of 18 and a recent h-index of 13 (since 2020), a distinguished researcher at ESIEE Paris, specializes in the field of dedicated and parallel architectures for image processing, Real-Time implementation on embedded processors and Smartphone platfo.

His recent articles reflect a diverse array of research interests and contributions to the field:

A fast and accurate method for glaucoma screening from smartphone-captured fundus images

Fast and efficient retinal blood vessel segmentation method based on deep learning network

Detection of retinal abnormalities in fundus image using CNN deep learning networks

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

Fully automatic brain tumor segmentation with deep learning-based selective attention using overlapping patches and multi-class weighted cross-entropy

Mohamed AKIL Information

University

Position

LIGM -

Citations(all)

1503

Citations(since 2020)

970

Cited By

778

hIndex(all)

18

hIndex(since 2020)

13

i10Index(all)

33

i10Index(since 2020)

18

Email

University Profile Page

ESIEE Paris

Google Scholar

View Google Scholar Profile

Mohamed AKIL Skills & Research Interests

dedicated and parallel architectures for image processing

Real-Time implementation on embedded processors and Smartphone platfo

Top articles of Mohamed AKIL

Title

Journal

Author(s)

Publication Date

A fast and accurate method for glaucoma screening from smartphone-captured fundus images

Irbm

Yasmine Mrad

Yaroub Elloumi

Mohamed Akil

Mohamed Hédi Bedoui

2022/8/1

Fast and efficient retinal blood vessel segmentation method based on deep learning network

Computerized Medical Imaging and Graphics

Henda Boudegga

Yaroub Elloumi

Mohamed Akil

Mohamed Hedi Bedoui

Rostom Kachouri

...

2021/6/1

Detection of retinal abnormalities in fundus image using CNN deep learning networks

Mohamed Akil

Yaroub Elloumi

Rostom Kachouri

2021/1/1

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

Sharmin Majumder

Yaroub Elloumi

Mohamed Akil

Rostom Kachouri

Nasser Kehtarnavaz

2020/4/22

Fully automatic brain tumor segmentation with deep learning-based selective attention using overlapping patches and multi-class weighted cross-entropy

Medical image analysis

Mohamed Akil

Rachida Saouli

Rostom Kachouri

2020/7/1

See List of Professors in Mohamed AKIL University(ESIEE Paris)