Rostom KACHOURI

Rostom KACHOURI

ESIEE Paris

H-index: 13

Europe-France

About Rostom KACHOURI

Rostom KACHOURI, With an exceptional h-index of 13 and a recent h-index of 10 (since 2020), a distinguished researcher at ESIEE Paris, specializes in the field of Deep Learning, Machine Learning, Artificial Intelligence, Computer Science, Image Recognition.

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

Invited speaker/Tutorial IPTA 2023 _ Retinal images: From biometry to early diagnosis of ocular pathologies

Une méthode à base d’apprentissage ensembliste pour le dépistage du stade précoce de la RD

Enhancing Myocardial Disease Prediction with DOC-NET+ Architecture: A Custom Data Analysis Approach for the EMIDEC Challenge

Early glaucoma screening Decision Tree using in-depth clinical analysis of the optic nerve head

COLOR FUNDUS IMAGE ENHANCEMENT-A DEEP LEARNING BASED DESKTOP APP FOR EARLIER SCREENING OF DIABETIC RETINOPATHY USING REAL-TIME HANDHELD FUNDUS CAMERA

A Robustness Study of Machine Learning Based Methods for Macula Detection in Pathological Fundus Images

Innovation en Imagerie Rétinienne: Approches GANs et Méthode Proposée pour la Précision Diagnostique

Retinal blood vessel segmentation from high resolution fundus image using deep learning architecture

Rostom KACHOURI Information

University

Position

Associate Professor at

Citations(all)

865

Citations(since 2020)

748

Cited By

288

hIndex(all)

13

hIndex(since 2020)

10

i10Index(all)

14

i10Index(since 2020)

10

Email

University Profile Page

ESIEE Paris

Google Scholar

View Google Scholar Profile

Rostom KACHOURI Skills & Research Interests

Deep Learning

Machine Learning

Artificial Intelligence

Computer Science

Image Recognition

Top articles of Rostom KACHOURI

Title

Journal

Author(s)

Publication Date

Invited speaker/Tutorial IPTA 2023 _ Retinal images: From biometry to early diagnosis of ocular pathologies

Rostom Kachouri

2023/10/16

Une méthode à base d’apprentissage ensembliste pour le dépistage du stade précoce de la RD

Yasmine Mrad

Yaroub Elloumi

Rostom Kachouri

Mohamed Hédi Bedoui

2023/12/6

Enhancing Myocardial Disease Prediction with DOC-NET+ Architecture: A Custom Data Analysis Approach for the EMIDEC Challenge

Mariem Dali

Rostom Kachouri

Narjes Benameur

Youness Laaroussi

Salam Laabidi

2023/11/23

Early glaucoma screening Decision Tree using in-depth clinical analysis of the optic nerve head

Rostom Kachouri

Mohamed Akil

Amed Mvoulana

2023/10/16

COLOR FUNDUS IMAGE ENHANCEMENT-A DEEP LEARNING BASED DESKTOP APP FOR EARLIER SCREENING OF DIABETIC RETINOPATHY USING REAL-TIME HANDHELD FUNDUS CAMERA

El-Mehdi Chakour

Zineb Sadok

Mohamed Akil

Rostom Kachouri

Anas Mansouri

...

2023/11/16

A Robustness Study of Machine Learning Based Methods for Macula Detection in Pathological Fundus Images

Yaroub Elloumi

Rostom Kachouri

2023/10/16

Innovation en Imagerie Rétinienne: Approches GANs et Méthode Proposée pour la Précision Diagnostique

Zineb Sadok

El-Mehdi Chakour

Rostom Kachouri

Mohamed Akil

Anas Mansouri

...

2023/12/6

Retinal blood vessel segmentation from high resolution fundus image using deep learning architecture

Henda Boudegga

Yaroub Elloumi

Asma Ben Abdallah

Rostom Kachouri

Mouhamed Hédi Bedoui

2023/10/4

Détection des micro-anévrismes dans les images du fond d'œil basée sur l'apprentissage ensembliste

Yasmine Mrad

Yaroub Elloumi

Rostom Kachouri

Mohamed Hédi Bedoui

2023/11/16

Une nouvelle approche basée sur TL pour le dépistage précoce et en temps réel de la rétinopathie diabétique à l'aide d'une caméra rétinienne portable

El-Mehdi Chakour

Zineb Sadok

Mohamed Akil

Rostom Kachouri

Anas Mansouri

...

2023/12/6

Deep Learning Architecture with an Optimized Convolutional Processing for the Segmentation of Retinal Blood Vessels

Henda Boudegga

Yaroub Elloumi

Rostom Kachouri

Asma Ben Abdallah

Mohamed Hedi Bedoui

2023/7/3

Amélioration de l’image du fond de l’œil-Apprentissage profond pour le dépistage précoce, automatique et en temps réel de la rétinopathie diabétique à l’aide d’une caméra …

El-Mehdi Chakour

Zineb Sadok

Mohamed Akil

Rostom Kachouri

Anas Mansouri

...

2023/11/16

Méthode automatique à base d’apprentissage profond pour la segmentation de l’arbre vasculaire rétinien

Henda Boudegga

Yaroub Elloumi

Rostom Kachouri

Asma Ben Abdallah

Mohamed Hédi Bedoui

2023/12/6

Retinal vessels grouping in glaucoma: study and synthesis

Yasmine Mrad

Yaroub Elloumi

Mohamed Hedi Bedoui

Rostom Kachouri

2022/11/2

An efficient HW/SW design for text extraction from complex color image

CMC-Computers, Materials & Continua

Mohamed Amin Ben Atitallah

Rostom Kachouri

Ahmed Ben Atitallah

Hassene Mnif

2022/1/14

MS detection based on OCT imaging: survey of clinical studies

Sabrine Ouni

Yaroub Elloumi

Mohamed Hedi Bedoui

Rostom Kachouri

2022/11/2

Extended U-net for retinal vessel segmentation

Henda Boudegga

Yaroub Elloumi

Rostom Kachouri

Asma Ben Abdallah

Mohamed Hedi Bedoui

2022/9/21

Automated Diagnosis of Retinal Neovascularization Pathologies from Color Retinal Fundus Images

Rahma Boukadida

Yaroub Elloumi

Rostom Kachouri

Asma Ben Abdallah

Mohamed Hedi Bedoui

2022/9/12

Automated method for real-time AMD screening of fundus images dedicated for mobile devices

Medical & Biological Engineering & Computing

Sofien Ben Sayadia

Yaroub Elloumi

Rostom Kachouri

Mohamed Akil

Asma Ben Abdallah

...

2022/5

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

See List of Professors in Rostom KACHOURI University(ESIEE Paris)