| Covid-caps: A capsule network-based framework for identification of covid-19 cases from x-ray images P Afshar, S Heidarian, F Naderkhani, A Oikonomou, KN Plataniotis, ... Pattern Recognition Letters 138, 638-643, 2020 | 693 | 2020 |
| COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning P Afshar, S Heidarian, N Enshaei, F Naderkhani, MJ Rafiee, ... Scientific Data 8 (1), 121, 2021 | 180 | 2021 |
| Covid-fact: A fully-automated capsule network-based framework for identification of covid-19 cases from chest ct scans S Heidarian, P Afshar, N Enshaei, F Naderkhani, MJ Rafiee, ... Frontiers in Artificial Intelligence 4, 598932, 2021 | 60 | 2021 |
| Ct-caps: Feature extraction-based automated framework for covid-19 disease identification from chest ct scans using capsule networks S Heidarian, P Afshar, A Mohammadi, MJ Rafiee, A Oikonomou, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 31 | 2021 |
| COVID-rate: an automated framework for segmentation of COVID-19 lesions from chest CT images N Enshaei, A Oikonomou, MJ Rafiee, P Afshar, S Heidarian, ... Scientific Reports 12 (1), 3212, 2022 | 23 | 2022 |
| Human-level COVID-19 diagnosis from low-dose CT scans using a two-stage time-distributed capsule network P Afshar, MJ Rafiee, F Naderkhani, S Heidarian, N Enshaei, ... Scientific Reports 12 (1), 4827, 2022 | 22 | 2022 |
| COVID-fact: A fully-automated capsule network-based framework for identification of COVID-19 cases from chest ct scans. Front S Heidarian, P Afshar, N Enshaei, F Naderkhani, MJ Rafiee, FB Fard, ... Artif. Intell 4 (65), 10.3389, 2021 | 15 | 2021 |
| TEDGE-Caching: Transformer-based edge caching towards 6G networks ZH Meybodi, A Mohammadi, E Rahimian, S Heidarian, J Abouei, ... ICC 2022-IEEE International Conference on Communications, 613-618, 2022 | 13 | 2022 |
| Hybrid deep learning model for diagnosis of COVID-19 using CT scans and clinical/demographic data P Afshar, S Heidarian, F Naderkhani, MJ Rafiee, A Oikonomou, ... 2021 IEEE International Conference on Image Processing (ICIP), 180-184, 2021 | 13 | 2021 |
| Spatio-temporal hybrid fusion of cae and swin transformers for lung cancer malignancy prediction S Khademi, S Heidarian, P Afshar, F Naderkhani, A Oikonomou, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 8 | 2023 |
| An ensemble learning framework for multi-class covid-19 lesion segmentation from chest ct images N Enshaei, P Afshar, S Heidarian, A Mohammadi, MJ Rafiee, ... 2021 IEEE International Conference on Autonomous Systems (ICAS), 1-6, 2021 | 8 | 2021 |
| Multi-content time-series popularity prediction with multiple-model transformers in MEC networks Z HajiAkhondi-Meybodi, A Mohammadi, M Hou, E Rahimian, S Heidarian, ... arXiv preprint arXiv:2210.05874, 2022 | 6 | 2022 |
| Cae-transformer: Transformer-based model to predict invasiveness of lung adenocarcinoma subsolid nodules from non-thin section 3d ct scans S Heidarian, P Afshar, A Oikonomou, KN Plataniotis, A Mohammadi arXiv preprint arXiv:2110.08721, 2021 | 5 | 2021 |
| Robust automated framework for COVID-19 disease identification from a multicenter dataset of chest CT scans S Heidarian, P Afshar, N Enshaei, F Naderkhani, MJ Rafiee, ... | 5* | 2021 |
| Wso-Caps: diagnosis of lung infection from low and ultra-lowdose CT scans using capsule networks and windowsetting optimization S Heidarian, P Afshar, N Enshaei, F Naderkhani, MJ Rafiee, ... 2021 IEEE International Conference on Autonomous Systems (ICAS), 1-5, 2021 | 5 | 2021 |
| COVID-Rate: An automated framework for segmentation of COVID-19 lesions from chest CT scans N Enshaei, A Oikonomou, MJ Rafiee, P Afshar, S Heidarian, ... arXiv preprint arXiv:2107.01527, 2021 | 2 | 2021 |
| A Capsule Network-Based Framework for Identification of COVID-19 Cases from X-Ray Images P Afshar, S Heidarian, F Naderkhani, A Oikonomou, KN Plataniotis, ... | 2 | 2020 |
| Capsule Network-based COVID-19 Diagnosis and Transformer-based Lung Cancer Invasiveness Prediction via Computerized Tomography (CT) Images S Heidarian Concordia University, 2021 | 1 | 2021 |
| Multi-content time-series popularity prediction with Multiple-model Transformers in MEC networks ZH Meybodi, A Mohammadi, M Hou, E Rahimian, S Heidarian, J Abouei, ... Ad Hoc Networks, 103436, 2024 | | 2024 |
Arash MohammadiAssociate Professor, Concordia UniversityVerified email at encs.concordia.ca
