output
20082026
most citedVine disease detection in UAV multispectral images with deep learning segmentation approach

315 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing eess.IVShow all

5 papers · 1 filter

eess.IV2023★ 17 cited

Transformer with Selective Shuffled Position Embedding and Key-Patch Exchange Strategy for Early Detection of Knee Osteoarthritis

Zhe Wang, Aladine Chetouani, Mohamed Jarraya +2

Knee OsteoArthritis (KOA) is a widespread musculoskeletal disorder that can severely impact the mobility of older individuals. Insufficient medical data presents a significant obst…

eess.IV2022★ 11 cited

End-to-end deep multi-score model for No-reference stereoscopic image quality assessment

Oussama Messai, Aladine Chetouani

Deep learning-based quality metrics have recently given significant improvement in Image Quality Assessment (IQA). In the field of stereoscopic vision, information is evenly distri…

eess.IV2021★ 10 cited

A Multi-task convolutional neural network for blind stereoscopic image quality assessment using naturalness analysis

Salima Bourbia, Ayoub Karine, Aladine Chetouani +1

This paper addresses the problem of blind stereoscopic image quality assessment (NR-SIQA) using a new multi-task deep learning based-method. In the field of stereoscopic vision, th…

eess.IV2020★ 67 cited

VddNet: Vine Disease Detection Network Based on Multispectral Images and Depth Map

Mohamed Kerkech, Adel Hafiane, Raphael Canals

Early detection of vine disease is important to avoid spread of virus or fungi. Disease propagation can lead to a huge loss of grape production and disastrous economic consequences…

eess.IV2019★ 315 cited

Vine disease detection in UAV multispectral images with deep learning segmentation approach

Mohamed Kerkech, Adel Hafiane, Raphael Canals

One of the major goals of tomorrow's agriculture is to increase agricultural productivity but above all the quality of production while significantly reducing the use of inputs. Me…