| 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), 1-17, 2021 | 455 | 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 | 147 | 2019 |
| 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 | 134 | 2023 |
| 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), 5544742, 2021 | 93 | 2021 |
| 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 | 72 | 2021 |
| Distributed clustering algorithm for spatial data mining M Bendechache, MT Kechadi 2015 2nd IEEE International Conference on Spatial Data Mining and …, 2015 | 60 | 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 | 57 | 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 | 55 | 2023 |
| 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 | 50 | 2023 |
| Brain tumor segmentation based on optimized convolutional neural network and improved chimp optimization algorithm R Ranjbarzadeh, P Zarbakhsh, A Caputo, EB Tirkolaee, M Bendechache Computers in Biology and Medicine 168, 107723, 2024 | 44 | 2024 |
| ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition R Ranjbarzadeh, S Jafarzadeh Ghoushchi, N Tataei Sarshar, ... Artificial Intelligence Review 56 (9), 10099-10136, 2023 | 42 | 2023 |
| 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 | 42 | 2021 |
| 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), 5597222, 2021 | 42 | 2021 |
| 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 | 41 | 2020 |
| 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 | 40 | 2016 |
| 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 | 39 | 2020 |
| 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 | 39 | 2019 |
| A deep learning approach for robust, multi-oriented, and curved text detection R Ranjbarzadeh, S Jafarzadeh Ghoushchi, S Anari, S Safavi, ... Cognitive computation 16 (4), 1979-1991, 2024 | 36 | 2024 |
| 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 | 36 | 2020 |
| Investigating multi-feature selection and ensembling for audio classification M Turab, T Kumar, M Bendechache, T Saber arXiv preprint arXiv:2206.07511, 2022 | 35 | 2022 |
Sergej SvorobejPostdoctoral Research Fellow, Trinity College DublinVerified email at tcd.ie
