Malika Bendechache
Malika Bendechache
Assistant Prof. University of Galway
Verified email at - Homepage
Cited by
Cited by
Brain tumor segmentation based on deep learning and an attention mechanism using MRI multi-modalities brain images
R Ranjbarzadeh, A Bagherian Kasgari, S Jafarzadeh Ghoushchi, S Anari, ...
Scientific Reports 11 (1), 10930, 2021
Simulating fog and edge computing scenarios: An overview and research challenges
S Svorobej, P Takako Endo, M Bendechache, C Filelis-Papadopoulos, ...
Future Internet 11 (3), 55, 2019
Lung infection segmentation for COVID-19 pneumonia based on a cascade convolutional network from CT images
R Ranjbarzadeh, S Jafarzadeh Ghoushchi, M Bendechache, A Amirabadi, ...
BioMed Research International 2021, 1-16, 2021
Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools
R Ranjbarzadeh, A Caputo, EB Tirkolaee, SJ Ghoushchi, M Bendechache
Computers in biology and medicine 152, 106405, 2023
TPCNN: two-path convolutional neural network for tumor and liver segmentation in CT images using a novel encoding approach
A Aghamohammadi, R Ranjbarzadeh, F Naiemi, M Mogharrebi, S Dorosti, ...
Expert Systems with Applications 183, 115406, 2021
Distributed clustering algorithm for spatial data mining
M Bendechache, MT Kechadi
2015 2nd IEEE International Conference on Spatial Data Mining and …, 2015
Nerve optic segmentation in CT images using a deep learning model and a texture descriptor
R Ranjbarzadeh, S Dorosti, S Jafarzadeh Ghoushchi, S Safavi, ...
Complex & Intelligent Systems 8 (4), 3543-3557, 2022
MRFE-CNN: Multi-route feature extraction model for breast tumor segmentation in Mammograms using a convolutional neural network
R Ranjbarzadeh, N Tataei Sarshar, S Jafarzadeh Ghoushchi, ...
Annals of Operations Research 328 (1), 1021-1042, 2023
Efficient large scale clustering based on data partitioning
M Bendechache, MT Kechadi, NA Le-Khac
2016 IEEE international conference on Data science and advanced analytics …, 2016
Parallel and distributed clustering framework for big spatial data mining
M Bendechache, AK Tari, MT Kechadi
International Journal of Parallel, Emergent and Distributed Systems 34 (6 …, 2019
An extended approach to predict retinopathy in diabetic patients using the genetic algorithm and fuzzy C-means
SJ Ghoushchi, R Ranjbarzadeh, AH Dadkhah, Y Pourasad, ...
BioMed Research International 2021, 1-13, 2021
AUDD: audio Urdu digits dataset for automatic audio Urdu digit recognition
A Chandio, Y Shen, M Bendechache, I Inayat, T Kumar
Applied Sciences 11 (19), 8842, 2021
Investigation of effectiveness of shuffled frog-leaping optimizer in training a convolution neural network
SB Saadi, NT Sarshar, S Sadeghi, R Ranjbarzadeh, MK Forooshani, ...
Journal of Healthcare Engineering 2022, 2022
Simulating resource management across the cloud-to-thing continuum: A survey and future directions
M Bendechache, S Svorobej, P Takako Endo, T Lynn
Future Internet 12 (6), 95, 2020
A deep learning approach for robust, multi-oriented, and curved text detection
R Ranjbarzadeh, S Jafarzadeh Ghoushchi, S Anari, S Safavi, ...
Cognitive computation, 1-13, 2022
A review of current machine learning approaches for anomaly detection in network traffic
WA Ali, KN Manasa, M Bendechache, M Fadhel Aljunaid, P Sandhya
Journal of Telecommunications and the Digital Economy 8 (4), 64-95, 2020
Orchestration from the Cloud to the Edge
S Svorobej, M Bendechache, F Griesinger, J Domaschka
The Cloud-to-Thing Continuum: Opportunities and Challenges in Cloud, Fog and …, 2020
Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods
R Ranjbarzadeh, S Dorosti, SJ Ghoushchi, A Caputo, EB Tirkolaee, SS Ali, ...
Computers in Biology and Medicine 152, 106443, 2023
Osteolysis: a literature review of basic science and potential computer-based image processing detection methods
SB Saadi, R Ranjbarzadeh, A Amirabadi, SJ Ghoushchi, O Kazemi, ...
Computational Intelligence and Neuroscience 2021, 2021
Investigating multi-feature selection and ensembling for audio classification
M Turab, T Kumar, M Bendechache, T Saber
arXiv preprint arXiv:2206.07511, 2022
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