432 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- 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
4 papers · 1 filter
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…
Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches
Isaac Shiri, Hassan Maleki, Ghasem Hajianfar +5
Aim: In the present work, we aimed to evaluate a comprehensive radiomics framework that enabled prediction of EGFR and KRAS mutation status in NSCLC cancer patients based on PET an…