| Deep convolutional neural network–based computer-aided detection system for covid-19 using multiple lung scans: Design and implementation study M Ghaderzadeh, F Asadi, R Jafari, D Bashash, H Abolghasemi, M Aria Journal of Medical Internet Research 23 (4), e27468, 2021 | 91 | 2021 |
| A fast and efficient CNN model for B‐ALL diagnosis and its subtypes classification using peripheral blood smear images M Ghaderzadeh, M Aria, A Hosseini, F Asadi, D Bashash, H Abolghasemi International Journal of Intelligent Systems 37 (8), 5113-5133, 2022 | 84 | 2022 |
| X‐ray equipped with artificial intelligence: changing the COVID‐19 diagnostic paradigm during the pandemic M Ghaderzadeh, M Aria, F Asadi BioMed Research International 2021 (1), 9942873, 2021 | 45 | 2021 |
| Management of covid-19 detection using artificial intelligence in 2020 pandemic M Ghaderzadeh, M Aria Proceedings of the 5th International Conference on Medical and Health …, 2021 | 34 | 2021 |
| Investigating the properties and cytotoxicity of cisplatin-loaded nano-polybutylcyanoacrylate on breast cancer cells A Gorgzadeh, A Hheidari, P Ghanbarikondori, M Arastonejad, TG Goki, ... Asian Pacific Journal of Cancer Biology 8 (4), 345-350, 2023 | 28 | 2023 |
| Acute Lymphoblastic Leukemia (ALL) image dataset M Aria, M Ghaderzadeh, D Bashash, H Abolghasemi, F Asadi, A Hosseini Kaggle, 2021 | 26* | 2021 |
| ADA-COVID: adversarial deep domain adaptation-based diagnosis of COVID-19 from lung CT scans using triplet embeddings M Aria, E Nourani, A Golzari Oskouei Computational Intelligence and Neuroscience 2022, 2022 | 21 | 2022 |
| QDL-CMFD: a Quality-independent and Deep Learning-based Copy-Move image Forgery Detection method M Aria, M Hashemzadeh, N Farajzadeh Neurocomputing 511, 213-236, 2022 | 20 | 2022 |
| Identifying predictors of varices grading in patients with cirrhosis using ensemble learning A Bayani, A Hosseini, F Asadi, B Hatami, K Kavousi, M Aria, MR Zali Clinical Chemistry and Laboratory Medicine (CCLM) 60 (12), 1938-1945, 2022 | 16 | 2022 |
| Performance of machine learning techniques on prediction of esophageal varices grades among patients with cirrhosis A Bayani, F Asadi, A Hosseini, B Hatami, K Kavousi, M Aria, MR Zali Clinical Chemistry and Laboratory Medicine (CCLM) 60 (12), 1955-1962, 2022 | 12 | 2022 |
| Time-related survival prediction in molecular subtypes of breast cancer using time-to-event deep-learning-based models S Zarean Shahraki, M Azizmohammad Looha, M Aria, A Akbari, H Emami, ... Frontiers in Oncology 13, 2292, 2023 | 9 | 2023 |
| Artificial intelligence in estimating fractional flow reserve: a systematic literature review of techniques A Farhad, R Reza, H Azamossadat, G Ali, R Arash, A Mehrad, K Zahra BMC Cardiovascular Disorders 23 (1), 407, 2023 | 7 | 2023 |
| COVID-19 Lung CT Scans: A large dataset of lung CT scans for COVID-19 (SARS-CoV-2) detection M Aria, M Ghaderzadeh, F Asadi, R Jafari Kaggle, 2021 | 6 | 2021 |
| Non-invasive fractional flow reserve estimation using deep learning on intermediate left anterior descending coronary artery lesion angiography images F Arefinia, M Aria, R Rabiei, A Hosseini, A Ghaemian, A Roshanpoor Scientific Reports 14 (1), 1818, 2024 | 5 | 2024 |
| A Modern Approach to Digital Image Forgery Detection M Aria MehrNevesht. ISBN: 9786229998946 1, 130, 2021 | | 2021 |
| Tehran Stock Exchange Market Data M Aria Kaggle, 2020 | | 2020 |
| A Deep Learning-Based Method for Detecting Copy-Move Image Forgery M Aria, M Hashemzadeh 3rd International Conference on Soft Computing (CSC2019), 2019 | | 2019 |
| A Deep Learning-Based Approach to Detect Copy-Move Image Forgery M Aria Azarbaijan Shahid Madani University, Faculty of Information Technology and …, 2019 | | 2019 |
| Evaluation of the performance of swarm intelligence and metaheuristic optimization algorithms in quality enhancement of color and grayscale digital images M Aria, M Hashemzadeh 4th national conference on distributed computing and big data processing., 2018 | | 2018 |
Farkhondeh AsadiProfessor of Health Information Management ,School of Allied Medical Sciences,Shahid在 sbmu.ac.ir 的电子邮件经过验证
