Salar Bijari

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 · 71 citations · Full text

Radiomics and Deep Features: Robust Classification of Brain Hemorrhages and Reproducibility Analysis Using a 3D Autoencoder Neural Network

Salar Bijari, Sahar Sayfollahi, S. Rouhani et al. · Bioengineering · 2024 · 64 citations · Full text

Development and validation of a robust MRI-based nomogram incorporating radiomics and deep features for preoperative glioma grading: a multi-center study

Salar Bijari, Seyed Masoud Rezaeijo, Sahar Sayfollahi et al. · Quantitative Imaging in Medicine and Surgery · 2025 · 32 citations · Full text

<scp>YOLOv8</scp> Outperforms Traditional <scp>CNN</scp> Models in Mammography Classification: Insights From a Multi‐Institutional Dataset

Erfan AkbarnezhadSany, Hossein EntezariZarch, Mohammad AlipoorKermani et al. · International Journal of Imaging Systems and Technology · 2024 · 31 citations

Convolutional Neural Network, Medical Image Segmentation, Engineering +22

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. · 2021 · 26 citations · Full text

Medical Image Segmentation, Engineering, Diagnosis +21