OpenAlex Citation Counts

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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:

Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature
Zahra Khodabakhshi, Shayan Mostafaei, Hossein Arabi, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104752-104752
Open Access | Times Cited: 76

Showing 51-75 of 76 citing articles:

Investigating the role of prognostic mitophagy-related genes in non-small cell cancer pathogenesis via multiomics and network-based approach
Prithvi Singh, Gulnaz Tabassum, Mohammad Masood, et al.
3 Biotech (2024) Vol. 14, Iss. 11
Closed Access

Enhanced NSCLC subtyping and staging through attention-augmented multi-task deep learning: A novel diagnostic tool
Runhuang Yang, Wei‐Ming Li, Siqi Yu, et al.
International Journal of Medical Informatics (2024) Vol. 193, pp. 105694-105694
Closed Access

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

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.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 2

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

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

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

Predicting the radiotherapeutic treatment response of non-small cell lung cancer
Soumyajit Das, Rohit Sasidharan, Sudipta Ghosh, et al.
Computer Methods and Programs in Biomedicine Update (2022) Vol. 2, pp. 100065-100065
Open 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

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

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

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

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

A Hybrid Attention-based Deep Model for Lung Cancer Subtype Classification from Multimodality Images
Chinnu Jacob, Gopakumar Chandrasekhara Menon
International Journal of Artificial Intelligence Tools (2023) Vol. 33, Iss. 01
Closed Access

A multi-view feature decomposition deep learning method for lung cancer histology classification
Heng Gao, Minghui Wang, Haichun Li, et al.
(2023), pp. 47-47
Closed Access

Exploring the potential of Radiomics in identification and treatment of lung cancer: A systematic evaluation
Raviteja Balekai, Mallikarjun S. Holi
Multimedia Tools and Applications (2023) Vol. 83, Iss. 21, pp. 60469-60492
Closed Access

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

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

End-to-End Fully Automated Cardiac Disease Diagnosis using SPECT Imaging and Deep Learning
Ghasem Hajianfar, Maziar Sabouri, Mohammad Javad Yasemi, 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

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

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