| 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 | 192 | 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 | 112 | 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 | 65 | 2021 |
| Distributed clustering algorithm for spatial data mining M Bendechache, MT Kechadi 2015 2nd IEEE International Conference on Spatial Data Mining and …, 2015 | 52 | 2015 |
| 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 | 41 | 2021 |
| 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 | 36 | 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 | 32 | 2019 |
| 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 | 30 | 2022 |
| 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 | 27 | 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 | 26 | 2020 |
| 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 | 24 | 2021 |
| 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, 1-22, 2022 | 19 | 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 | 19 | 2020 |
| Hierarchical aggregation approach for distributed clustering of spatial datasets M Bendechache, NA Le-Khac, MT Kechadi 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016 | 19 | 2016 |
| Investigation of effectiveness of shuffled frog-leaping optimizer in training a convolution neural network S Baseri Saadi, N Tataei Sarshar, S Sadeghi, R Ranjbarzadeh, ... Journal of Healthcare Engineering 2022, 2022 | 18 | 2022 |
| 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 | 17 | 2021 |
| 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 | 15 | 2020 |
| Detecting human activities based on a multimodal sensor data set using a bidirectional long short-term memory model: a case study SR de Assis Neto, GL Santos, E da Silva Rocha, M Bendechache, ... Challenges and Trends in Multimodal Fall Detection for Healthcare, 31-51, 2020 | 13 | 2020 |
| 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, 106405, 2022 | 12 | 2022 |
| Investigating multi-feature selection and ensembling for audio classification M Turab, T Kumar, M Bendechache, T Saber arXiv preprint arXiv:2206.07511, 2022 | 12 | 2022 |
Sergej SvorobejPostdoctoral Research Fellow, Trinity College DublinVerified email at tcd.ie
