| A mobile application based on efficient lightweight CNN model for classification of B-ALL cancer from non-cancerous cells: A design and implementation study A Hosseini, MA Eshraghi, T Taami, H Sadeghsalehi, Z Hoseinzadeh, ... Informatics in Medicine Unlocked 39, 101244, 2023 | 61 | 2023 |
| Efficient framework for detection of COVID‐19 omicron and delta variants based on two intelligent phases of CNN models M Ghaderzadeh, MA Eshraghi, F Asadi, A Hosseini, R Jafari, D Bashash, ... Computational and Mathematical Methods in Medicine 2022 (1), 4838009, 2022 | 30 | 2022 |
| COV-MobNets: a mobile networks ensemble model for diagnosis of COVID-19 based on chest X-ray images MA Eshraghi, A Ayatollahi, SB Shokouhi BMC Medical Imaging 23 (1), 83, 2023 | 9 | 2023 |
| Research Article Efficient Framework for Detection of COVID-19 Omicron and Delta Variants Based on Two Intelligent Phases of CNN Models M Ghaderzadeh, MA Eshraghi, F Asadi, A Hosseini, R Jafari, D Bashash, ... | | 2022 |
| A Lightweight Deep-CNN-Based Mobile Application in the Screening of Different B-ALL Cancerous Class from Non-Cancerous Cells A Hosseini, MA Eshraghi, T Taami, H Sadeghsalehi, Z Hoseinzadeh, ... Available at SSRN 4230981, 0 | | |
