| 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 | 187 | 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 |
| Automated detection of textured-surface defects using UNet-based semantic segmentation network N Enshaei, S Ahmad, F Naderkhani 2020 ieee international conference on prognostics and health management …, 2020 | 29 | 2020 |
| The equivalent depth of wave-induced scour around offshore pipelines ME Mousavi, AY Bakhtiary, N Enshaei | 28 | 2009 |
| 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 | 24 | 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 |
| Application of deep learning for fault diagnostic in induction machine’s bearings N Enshaei, F Naderkhani 2019 IEEE International Conference on Prognostics and Health Management …, 2019 | 20 | 2019 |
| Diagnosis/prognosis of covid-19 chest images via machine learning and hypersignal processing: Challenges, opportunities, and applications A Mohammadi, Y Wang, N Enshaei, P Afshar, F Naderkhani, ... IEEE Signal Processing Magazine 38 (5), 37-66, 2021 | 19 | 2021 |
| 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 | 16 | 2021 |
| 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 |
| Icphm'23 benchmark vibration dataset applicable in machine learning for systems' health monitoring N Enshaei, H Chen, F Naderkhani, J Lin, S Shahsafi, S Giliyana, ... proceeding of IEEE Conference on Prognostics and Health Management (ICPHM), 2023 | 6 | 2023 |
| Equilibrium profile of current-induced scour around submarine pipelines ME Mousavi, AY Bakhtiary, N Enshaei International Conference on Offshore Mechanics and Arctic Engineering 47497 …, 2006 | 6 | 2006 |
| 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-CT-MD: COVID-19 Computed tomography (CT) scan dataset applicable in machine learning and deep learning. Sci Data. 2020 P Afshar, S Heidarian, N Enshaei, F Naderkhani, MJ Rafiee, ... | 5 | |
| A comprehensive review on advanced maintenance strategies for smart railways N Enshaei, A Hammad, F Naderkhani Handbook of Research on Interdisciplinary Approaches to Decision Making for …, 2020 | 3 | 2020 |
| Integrated deep learning and statistical process control for online monitoring of manufacturing processes S Ahmad, N Enshaei, F Naderkhani, A Awasthi 2020 IEEE International Conference on Prognostics and Health Management …, 2020 | 2 | 2020 |
| Data Shapley Value for Handling Noisy Labels: An Application in Screening Covid-19 Pneumonia from Chest CT Scans N Enshaei, MJ Rafiee, A Mohammadi, F Naderkhani ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 1 | 2022 |
| A Generalization Enhancement Approach for Deep Learning Segmentation Models: Application in COVID-19 Lesion Segmentation from Chest CT Slices N Enshaei, MJ Rafiee, F Naderkhani 2022 30th European Signal Processing Conference (EUSIPCO), 1362-1366, 2022 | | 2022 |
| NUMERICAL STUDY OF SEDIMENT SIZE EFFECT ON SCOUR PHENOMENA AROUND PIPELINE UNDER STEADY CURRENT N ENSHAEI, NSALIA SALEHI | | 2014 |
Arash MohammadiAssociate Professor, Concordia University在 encs.concordia.ca 的电子邮件经过验证
