Author

Masoumeh Pakbin

Observed name: M. Pakbin

Institution: Qom University of Medical Science and Health Services

Observed institutions: Qom University of Medical Science and Health Services, Tehran University of Medical Sciences

ORCID: 0000-0001-7643-5877

Observed ORCID: 0000-0001-7643-5877

OpenAlex ID: A5062382836

COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients

2022 · Isaac Shiri, Yazdan Salimi, et al. · Computers in Biology and Medicine · 69

Deep learning-based fully automated Z-axis coverage range definition from scout scans to eliminate overscanning in chest CT imaging

2021 · Yazdan Salimi, Isaac Shiri, et al. · Insights into Imaging · 60

COLI‐Net : Deep learning‐assisted fully automated COVID ‐19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images

2021 · Isaac Shiri, Hossein Arabi, et al. · International Journal of Imaging Systems and Technology · 55

Deep Learning-based calculation of patient size and attenuation surrogates from localizer Image: Toward personalized chest CT protocol optimization

2022 · Yazdan Salimi, Isaac Shiri, et al. · European Journal of Radiology · 27

Diagnosis of COVID-19 Using CT image Radiomics Features: A Comprehensive Machine Learning Study Involving 26,307 Patients

2021 · Isaac Shiri, Yazdan Salimi, et al. · medRxiv · 26

Differential privacy preserved federated learning for prognostic modeling in COVID‐19 patients using large multi‐institutional chest CT dataset

2024 · Isaac Shiri, Yazdan Salimi, et al. · Medical Physics · 15

Differentiation of COVID‐19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study

2024 · Isaac Shiri, Yazdan Salimi, et al. · International Journal of Imaging Systems and Technology · 6

Quantitative Nail Fold Capillary Blood Flow Using Capillaroscopy System and ImageJ Software in Healthy Individuals

2022 · Masoumeh Pakbin, Sedigheh Marjaneh Hejazi, et al. · Frontiers in biomedical technologies · 2

Deep Vision Transformers for Prognostic Modeling in COVID-19 Patients using Large Multi-Institutional Chest CT Dataset

2022 · Isaac Shiri, Yazdan Salimi, et al. · IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) · 1

Deep Learning-based Fully Automated Scan Range Detection in Chest CT Imaging

2021 · Y. Salimi, A. Akhavanallaf, et al. · IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

Works count: 10

Citation count: 261

H-index: 6

I10-index: 6