Adel Hafiane
Cited by
Cited by
Deep learning with unsupervised data labeling for weed detection in line crops in UAV images
MD Bah, A Hafiane, R Canals
Remote sensing 10 (11), 1690, 2018
Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in UAV images
M Kerkech, A Hafiane, R Canals
Computers and electronics in agriculture 155, 237-243, 2018
Vine disease detection in UAV multispectral images using optimized image registration and deep learning segmentation approach
M Kerkech, A Hafiane, R Canals
Computers and Electronics in Agriculture 174, 105446, 2020
Median binary pattern for textures classification
A Hafiane, G Seetharaman, B Zavidovique
International Conference Image Analysis and Recognition, 387-398, 2007
Computer vision, IoT and data fusion for crop disease detection using machine learning: A survey and ongoing research
M Ouhami, A Hafiane, Y Es-Saady, M El Hajji, R Canals
Remote Sensing 13 (13), 2486, 2021
Transformer neural network for weed and crop classification of high resolution UAV images
R Reedha, E Dericquebourg, R Canals, A Hafiane
Remote Sensing 14 (3), 592, 2022
CRowNet: Deep network for crop row detection in UAV images
MD Bah, A Hafiane, R Canals
IEEE Access 8, 5189-5200, 2019
One dimensional local binary pattern for bone texture characterization
L Houam, A Hafiane, A Boukrouche, E Lespessailles, R Jennane
Pattern Analysis and Applications 17, 179-193, 2014
Fuzzy clustering and active contours for histopathology image segmentation and nuclei detection
A Hafiane, F Bunyak, K Palaniappan
Advanced Concepts for Intelligent Vision Systems: 10th International …, 2008
Weeds detection in UAV imagery using SLIC and the hough transform
MD Bah, A Hafiane, R Canals
2017 Seventh International Conference on Image Processing Theory, Tools and …, 2017
Deep learning based classification system for identifying weeds using high-resolution UAV imagery
MD Bah, E Dericquebourg, A Hafiane, R Canals
Intelligent Computing: Proceedings of the 2018 Computing Conference, Volume …, 2019
Joint adaptive median binary patterns for texture classification
A Hafiane, K Palaniappan, G Seetharaman
Pattern Recognition 48 (8), 2609-2620, 2015
Integrating segmentation with deep learning for enhanced classification of epithelial and stromal tissues in H&E images
Z Al-Milaji, I Ersoy, A Hafiane, K Palaniappan, F Bunyak
Pattern Recognition Letters 119, 214-221, 2019
Rotationally invariant hashing of median binary patterns for texture classification
A Hafiane, G Seetharaman, K Palaniappan, B Zavidovique
Image Analysis and Recognition: 5th International Conference, ICIAR 2008 …, 2008
Histopathology tissue segmentation by combining fuzzy clustering with multiphase vector level sets
F Bunyak, A Hafiane, K Palaniappan
Software tools and algorithms for biological systems, 413-424, 2011
Investigation of a novel image segmentation method dedicated to forest fire applications
S Rudz, K Chetehouna, A Hafiane, H Laurent, O Séro-Guillaume
Measurement Science and Technology 24 (7), 075403, 2013
Phase-based probabilistic active contour for nerve detection in ultrasound images for regional anesthesia
A Hafiane, P Vieyres, A Delbos
Computers in biology and medicine 52, 88-95, 2014
VddNet: Vine disease detection network based on multispectral images and depth map
M Kerkech, A Hafiane, R Canals
Remote Sensing 12 (20), 3305, 2020
Computer-aided detection system for nerve identification using ultrasound images: a comparative study
O Hadjerci, A Hafiane, D Conte, P Makris, P Vieyres, A Delbos
Informatics in Medicine Unlocked 3, 29-43, 2016
Application of chemometric algorithms to MALDI mass spectrometry imaging of pharmaceutical tablets
Y Gut, M Boiret, L Bultel, T Renaud, A Chetouani, A Hafiane, YM Ginot, ...
Journal of pharmaceutical and biomedical analysis 105, 91-100, 2015
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