Arthur Cartel
Foahom Gouabou
FREN

Arthur Cartel Foahom Gouabou

Publications

Scientific publications by Arthur Cartel Foahom Gouabou

Research impact

Metric All Since 2021
Citations140140
h-index55
i10-index44
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List of Publications

J. Monnier, I. Moutarji, Arthur Cartel Foahom Gouabou, J. Collenne, A. Le Nilias Houmeau, Meryem Serdi, Rabah IGUERNAISSI, Jean-Luc Damoiseaux, M.A. Richard, Jean-Jacques Grob, Caroline Gaudy-Marqueste, Djamal Merad.

Détection automatisée du mélanome fondée sur l’analyse cognitive globale du dermatologue et comparaison aux approches neuronales

Annales de Dermatologie et de Vénéréologie - FMC, Volume 4, Issue 8, Supplement 1, 2024, Page A98. ISSN 2667-0623.
DOI
Arthur Cartel Foahom Gouabou, Mohammed Al-Kharaz, Faouzi Hakimi, Tarek Khaled, Kenza Amzil.

Forecasting Empty Container availability for Vehicle Booking System Application

Proceedings of the 28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES), 2024.
DOI
Faouzi Hakimi, Tarek Khaled, Mohammed Al-Kharaz, Arthur Cartel Foahom Gouabou, Kenza Amzil.

Towards a Digital Twin Modeling Method for Container Terminal Port

Proceedings of the 28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES), 2024.
DOI
Jilliana Monnier, Arthur Cartel Foahom Gouabou, Meryem Serdi, Jules Collenne, Rabah IGUERNAISSI, Marie-Aleth Richard, Caroline Gaudy-Marqueste, Jean-Luc Damoiseaux, Jean-Jacques Grob, Djamal Merad.

Automated melanoma detection. An algorithm inspired from human intelligence characterizing disordered pattern of melanocytic lesions improving a convolutional neural network

JAAD · Journal of the American Academy of Dermatology, 2024.
Cite DOI
Arthur Cartel Foahom Gouabou, Jules Collenne, Jilliana Monnier, Rabah IGUERNAISSI, Jean-Luc Damoiseaux, Abdellatif Moudafi, Djamal Merad.

Computer Aided Diagnosis of Melanoma Using Deep Neural Networks and Game Theory: Application on Dermoscopic Images of Skin Lesions

International Journal of Molecular Sciences, 2022.
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Arthur Cartel Foahom Gouabou, Rabah IGUERNAISSI, Jean-Luc Damoiseaux, Abdellatif Moudafi, Djamal Merad.

End-to-End Decoupled Training: A Robust Deep Learning Method for Long-Tailed Classification of Dermoscopic Images for Skin Lesion Classification

Electronics, 2022.
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Arthur Cartel Foahom Gouabou, Rabah IGUERNAISSI, Jean-Luc Damoiseaux, Abdellatif Moudafi, Djamal Merad.

Rethinking decoupled training with bag of tricks for long-tailed recognition

Digital Image Computing: Techniques and Applications (DICTA), 2022.
HAL Video Cite Code
Jilliana Monnier, Arthur Cartel Foahom Gouabou, Meryem Serdi, Jules Collenne, Rabah IGUERNAISSI, Caroline Gaudy-Marqueste, Jean-Luc Damoiseaux, Jean-Jacques Grob, Djamal Merad.

Automated detection of melanoma: Comparing a convolutional neural network (CNN) approach with an algorithm assessing disorder in the pattern of pigmented lesions, intended to mimick onco-dermatologists' visual analysis

Annals of Oncology, 2022.
PDF DOI
Arthur Cartel Foahom Gouabou, Jean-Luc Damoiseaux, Jilliana Monnier, Rabah IGUERNAISSI, Abdellatif Moudafi, Djamal Merad.

Ensemble Method of Convolutional Neural Networks with Directed Acyclic Graph Using Dermoscopic Images: Melanoma Detection Application

Sensors, 2021.
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Jilliana Monnier, Arthur Cartel Foahom Gouabou, Meryem Serdi, Rabah IGUERNAISSI, Caroline Gaudy-Marqueste, Jean-Luc Damoiseaux, Jean-Jacques Grob, Djamal Merad.

Détection automatique du mélanome: comparaison d’un algorithme fondé sur la caractérisation de l’aspect désordonné de lésions mélanocytaires mimant la pratique des dermatologues, avec une approche par CNN (Convolutional Neural Network)

Annales de Dermatologie et de Vénéréologie-FMC, 2021.
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Jilliana Monnier, Arthur Cartel Foahom Gouabou, Caroline Gaudy-Marqueste, Jean-Luc Damoiseaux, Jean-Jacques Grob, Djamal Merad.

Impact d’un artefact fréquent sur la détection automatique du mélanome à partir d’images dermoscopiques: approche deep learning combinée à l’algorithme Support Vector Machine

Annales de Dermatologie et de Vénéréologie, 2020.
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