OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
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 (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 26
Isaac Shiri, Yazdan Salimi, Abdollah Saberi, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 26
Showing 1-25 of 26 citing articles:
Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection
Elham Avard, Isaac Shiri, Ghasem Hajianfar, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105145-105145
Open Access | Times Cited: 67
Elham Avard, Isaac Shiri, Ghasem Hajianfar, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105145-105145
Open Access | Times Cited: 67
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) Vol. 145, pp. 105467-105467
Open Access | Times Cited: 62
Isaac Shiri, Yazdan Salimi, Masoumeh Pakbin, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105467-105467
Open Access | Times Cited: 62
High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms
Isaac Shiri, Shayan Mostafaei, Atlas Haddadi Avval, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 29
Isaac Shiri, Shayan Mostafaei, Atlas Haddadi Avval, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 29
Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia using CT radiomics
Pegah Moradi Khaniabadi, Yassine Bouchareb, Humoud Al-Dhuhli, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106165-106165
Open Access | Times Cited: 26
Pegah Moradi Khaniabadi, Yassine Bouchareb, Humoud Al-Dhuhli, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106165-106165
Open Access | Times Cited: 26
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) Vol. 157, pp. 110602-110602
Open Access | Times Cited: 21
Yazdan Salimi, Isaac Shiri, Azadeh Akhavanallaf, et al.
European Journal of Radiology (2022) Vol. 157, pp. 110602-110602
Open Access | Times Cited: 21
Differentiation of COVID‐19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study
Isaac Shiri, Yazdan Salimi, Abdollah Saberi, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 2
Open Access | Times Cited: 2
Isaac Shiri, Yazdan Salimi, Abdollah Saberi, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 2
Open Access | Times Cited: 2
PET Image Radiomics Feature Variability in Lung Cancer: Impact of Image Segmentation
Seyyed Ali Hosseini, Ghasem Hajianfar, Isaac Shiri, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021)
Closed Access | Times Cited: 6
Seyyed Ali Hosseini, Ghasem Hajianfar, Isaac Shiri, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021)
Closed Access | Times Cited: 6
Robust versus Non-Robust Radiomic features: Machine Learning Based Models for NSCLC Lymphovascular Invasion
Seyyed Ali Hosseini, Ghasem Hajianfar, Elahe Hosseini, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
Closed Access | Times Cited: 3
Seyyed Ali Hosseini, Ghasem Hajianfar, Elahe Hosseini, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
Closed Access | Times Cited: 3
Survival Prognostic Modeling Using PET/CT Image Radiomics: The Quest for Optimal Approaches
Mehdi Amini, Ghasem Hajianfar, Mehdi Nazari, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021), pp. 1-3
Closed Access | Times Cited: 4
Mehdi Amini, Ghasem Hajianfar, Mehdi Nazari, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021), pp. 1-3
Closed Access | Times Cited: 4
Lymphovascular Invasion Prediction in Lung Cancer Using Multi-Segmentation PET Radiomics and Multi-Machine Learning Algorithms
Seyyed Ali Hosseini, Ghasem Hajianfar, Isaac Shiri, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021)
Closed Access | Times Cited: 3
Seyyed Ali Hosseini, Ghasem Hajianfar, Isaac Shiri, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021)
Closed Access | Times Cited: 3
Histopathological Subtype Phenotype Decoding Using Harmonized PET/CT Image Radiomics Features and Machine Learning
Zahra Khodabakhshi, Mehdi Amini, Ghasem Hajianfar, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021), pp. 1-3
Closed Access | Times Cited: 2
Zahra Khodabakhshi, Mehdi Amini, Ghasem Hajianfar, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021), pp. 1-3
Closed Access | Times Cited: 2
ComBat Harmonization of Image Reconstruction Parameters to Improve the Repeatability of Radiomics Features
Ghasem Hajianfar, Atlas Haddadi Avval, Maziar Sabouri, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021), pp. 1-3
Closed Access | Times Cited: 2
Ghasem Hajianfar, Atlas Haddadi Avval, Maziar Sabouri, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021), pp. 1-3
Closed Access | Times Cited: 2
Automatic Deep Learning Based Calculation of Water Equivalent Diameter from 2D CT Localizer Image
Yazdan Salimi, Azadeh Akhavanallaf, Isaac Shiri, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021) Vol. 15, pp. 1-3
Closed Access | Times Cited: 2
Yazdan Salimi, Azadeh Akhavanallaf, Isaac Shiri, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021) Vol. 15, pp. 1-3
Closed Access | Times Cited: 2
Cardiac Pattern Recognition from SPECT Images Using Machine Learning Algorithms
Maziar Sabouri, Ghasem Hajianfar, Mehdi Amini, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021) Vol. 18, pp. 1-3
Closed Access | Times Cited: 2
Maziar Sabouri, Ghasem Hajianfar, Mehdi Amini, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021) Vol. 18, pp. 1-3
Closed Access | Times Cited: 2
Deep Vision Transformers for Prognostic Modeling in COVID-19 Patients using Large Multi-Institutional Chest CT Dataset
Isaac Shiri, Yazdan Salimi, Nasim Sirjani, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
Closed Access | Times Cited: 1
Isaac Shiri, Yazdan Salimi, Nasim Sirjani, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
Closed Access | Times Cited: 1
Machine Learning-based Overall Survival Prediction in GBM Patients Using MRI Radiomics
Ghasem Hajianfar, Atlas Haddadi Avval, Seyyed Ali Hosseini, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
Closed Access | Times Cited: 1
Ghasem Hajianfar, Atlas Haddadi Avval, Seyyed Ali Hosseini, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
Closed Access | Times Cited: 1
Cardiac SPECT Radiomic Features Reproducibility: Patient study
Maziar Sabouri, Ghasem Hajianfar, Mobin Mohebi, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-4
Closed Access | Times Cited: 1
Maziar Sabouri, Ghasem Hajianfar, Mobin Mohebi, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-4
Closed Access | Times Cited: 1
MRI Radiomic Features Harmonization: A Multi-Center Phantom Study
Ghasem Hajianfar, Seyyed Ali Hosseini, Mehdi Amini, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
Closed Access | Times Cited: 1
Ghasem Hajianfar, Seyyed Ali Hosseini, Mehdi Amini, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
Closed Access | Times Cited: 1
Pathological Prostate Gleason Score Prediction Using MRI Radiomics and Machine Learning Algorithms
Soroush Bagheri, Ghasem Hajianfar, Abdollah Saberi, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021), pp. 1-3
Closed Access | Times Cited: 1
Soroush Bagheri, Ghasem Hajianfar, Abdollah Saberi, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021), pp. 1-3
Closed Access | Times Cited: 1
Lung Cancer Recurrence Prediction Using Radiomics Features of PET Tumor Sub-Volumes and Multi-Machine Learning Algorithms
Seyyed Ali Hosseini, Ghasem Hajianfar, Isaac Shiri, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021), pp. 1-3
Closed Access | Times Cited: 1
Seyyed Ali Hosseini, Ghasem Hajianfar, Isaac Shiri, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021), pp. 1-3
Closed Access | Times Cited: 1
Breast Tumor Genes Subtype Profiling Using MR Image Radiomic Features and Machine Learning Algorithms
Aazadeh Akhavanallaf, Marziyeh Hoseininezhad, Milad Moradi, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
Closed Access
Aazadeh Akhavanallaf, Marziyeh Hoseininezhad, Milad Moradi, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
Closed Access
Progression-Free Survival Prediction in Head and Neck Cancer using Fused PET-CT Radiomics and Machine Learning
Atlas Haddadi Avval, Mehdi Amini, Ghasem Hajianfar, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
Closed Access
Atlas Haddadi Avval, Mehdi Amini, Ghasem Hajianfar, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
Closed Access
On the Removal of Inter/Intra Observer Variability of PET Radiomics Features
Isaac Shiri, Mehdi Amini, Ghasem Hajianfar, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021) Vol. 88, pp. 1-3
Closed Access
Isaac Shiri, Mehdi Amini, Ghasem Hajianfar, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021) Vol. 88, pp. 1-3
Closed Access
Holistic MRI-based Prognostic Model Development Using Genomic and Histopathologic Features in Glioblastoma Patients
Atlas Haddadi Avval, Shayan Mostafaei, Mehrdad Oveisi, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021), pp. 1-3
Closed Access
Atlas Haddadi Avval, Shayan Mostafaei, Mehrdad Oveisi, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021), pp. 1-3
Closed Access
Deep Learning-based Fully Automated Scan Range Detection in Chest CT Imaging
Yazdan Salimi, Azadeh Akhavanallaf, Isaac Shiri, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021) Vol. 16, pp. 1-3
Closed Access
Yazdan Salimi, Azadeh Akhavanallaf, Isaac Shiri, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021) Vol. 16, pp. 1-3
Closed Access
