432 citations
- Iran University of Medical SciencesIR5 papers
- Shaheed Rajaei Cardiovascular Medical and Research CenterIR4 papers
- University Hospital of GenevaCH4 papers
- University of British ColumbiaCA4 papers
- University of GenevaCH4 papers
- University Medical Center GroningenNL3 papers
- University of GroningenNL3 papers
- University of Southern DenmarkDK3 papers
- Amirkabir University of TechnologyIR2 papers
- Semmelweis UniversityHU2 papers
- Shahid Bahonar University of KermanIR2 papers
- Shahid Beheshti UniversityIR2 papers
13 papers
Investigation of the Orbital Period and Mass Relations for W UMa-type Contact Systems
Atila Poro, Soroush Sarabi, Shiva Zamanpour +14
New relationships between the orbital period and some parameters of W Ursae Majoris (W UMa) type systems are presented in this study. To investigate the relationships, we calculate…
3D and 4D printing in dentistry and maxillofacial surgery: Recent advances and future perspectives
Danial Khorsandi, Amir Fahimipour, Payam Abasian +13
3D and 4D printing are cutting-edge technologies for precise and expedited manufacturing of objects ranging from plastic to metal. Recent advances in 3D and 4D printing technologie…
Accurate and Rapid Diagnosis of COVID-19 Pneumonia with Batch Effect Removal of Chest CT-Scans and Interpretable Artificial Intelligence
Rassa Ghavami Modegh, Mehrab Hamidi, Saeed Masoudian +22
COVID-19 is a virus with high transmission rate that demands rapid identification of the infected patients to reduce the spread of the disease. The current gold-standard test, Reve…
Non-Invasive Fuhrman Grading of Clear Cell Renal Cell Carcinoma Using Computed Tomography Radiomics Features and Machine Learning
Mostafa Nazari, Isaac Shiri, Ghasem Hajianfar +4
Purpose: To identify optimal classification methods for computed tomography (CT) radiomics-based preoperative prediction of clear cells renal cell carcinoma (ccRCC) grade. Methods…
Cardiac SPECT Radiomics Features Repeatability and Reproducibility: A Multi Scanner Phantom Study
Mohammad Edalat-Javid, Isaac Shiri, Ghasem Hajianfar +7
Background: The aim of this study was to assess the robustness of cardiac SPECT radiomics features against changes in imaging settings including acquisition and reconstruction sett…
Non-Invasive MGMT Status Prediction in GBM Cancer Using Magnetic Resonance Images (MRI) Radiomics Features: Univariate and Multivariate Machine Learning Radiogenomics Analysis
Ghasem Hajianfar, Isaac Shiri, Hassan Maleki +4
Background and aim: This study aimed to predict methylation status of the O-6 methyl guanine-DNA methyl transferase (MGMT) gene promoter status by using MRI radiomics features, as…