Masoumeh Pakbin

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

Isaac Shiri, Yazdan Salimi, Masoumeh Pakbin et al. · Computers in Biology and Medicine · 2022 · 73 citations · Full text

Medicine, Biomedical Engineering, Radiology +17

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

Yazdan Salimi, Isaac Shiri, Azadeh Akhavanallaf et al. · Insights into Imaging · 2021 · 56 citations · Full text

Medicine, Radiology, Diagnostic Imaging +16

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

Isaac Shiri, Hossein Arabi, Yazdan Salimi et al. · International Journal of Imaging Systems and Technology · 2021 · 44 citations · Full text

Medicine, Health Informatics, Radiology +17

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

Isaac Shiri, Yazdan Salimi, Abdollah Saberi et al. · medRxiv · 2021 · 26 citations · Full text

Medicine, Health Informatics, Radiology +17

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

Yazdan Salimi, Isaac Shiri, Azadeh Akhavanallaf et al. · European Journal of Radiology · 2022 · 25 citations · Full text

Medicine, Radiology, Diagnostic Imaging +16