Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

[18F]FDG-PET/CT Radiomics and Artificial Intelligence in Lung Cancer: Technical Aspects and Potential Clinical Applications
Reyhaneh Manafi‐Farid, Emran Askari, Isaac Shiri, et al.
Seminars in Nuclear Medicine (2022) Vol. 52, Iss. 6, pp. 759-780
Open Access | Times Cited: 54

Showing 26-50 of 54 citing articles:

Assessment of brain cancer atlas maps with multimodal imaging features
Enrico Capobianco, Marco Dominietto
Journal of Translational Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 5
Nuclear medicine radiomics in digestive system tumors: Concept, applications, challenges, and future perspectives
Wenpeng Huang, Zihao Tao, Muhsin H. Younis, et al.
View (2023) Vol. 4, Iss. 6
Open Access | Times Cited: 4
Computer-aided diagnosis of distal metastasis in non-small cell lung cancer by low-dose CT based radiomics and deep learning signatures
Xiaoyi Song, Xiaobei Duan, Xinghua He, et al.
La radiologia medica (2024) Vol. 129, Iss. 2, pp. 239-251
Closed Access | Times Cited: 1
Automated Lung Cancer Diagnosis Applying Butterworth Filtering, Bi-Level Feature Extraction, and Sparce Convolutional Neural Network to Luna 16 CT Images
Nasr Y. Gharaibeh, Roberto De Fazio, Bassam Al‐Naami, et al.
Journal of Imaging (2024) Vol. 10, Iss. 7, pp. 168-168
Open Access | Times Cited: 1
Quantitative 18F-FDG PET-CT can assess presence and extent of interstitial lung disease in early severe diffuse cutaneous systemic sclerosis
Bo Broens, Esther J. Nossent, Lilian J. Meijboom, et al.
Arthritis Research & Therapy (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 1
Additional Value of PET and CT Image-Based Features in the Detection of Occult Lymph Node Metastases in Lung Cancer: A Systematic Review of the Literature
Priscilla Guglielmo, Francesca Marturano, Andrea Bettinelli, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2153-2153
Open Access | Times Cited: 3
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
Innovation in the Field of Oncology: Early Lung Cancer Detection and Classification Using AI
Kapila Moon, Ashok Jethawat
Communications in computer and information science (2024), pp. 358-375
Closed Access
Automated PD-L1 status prediction in lung cancer with multi-modal PET/CT fusion
Ronrick Da‐ano, Gustavo Andrade-Miranda, Olena Tankyevych, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
The innovation of mediastinal staging in lung cancer with artificial intelligence
V.M. Oyervides-Juárez, Alder E. Perales-Mendoza, Sofía N. Sánchez-Morales, et al.
Medicina Universitaria (2024) Vol. 26, Iss. 3
Open Access
Semi-Supervised and Unsupervised Deep Learning Combination for Automated PDL-1 Status Prediction in Lung Cancer with Multi-modal PET/CT Fusion
Ronrick Da‐ano, Olena Tankyevych, Catherine Cheze Le Rest, et al.
(2024), pp. 1-2
Closed Access
Lymph node metastasis prediction from in-situ lung squamous cell carcinoma histopathology images using deep learning.
Lu Xia, Tao Xu, Yongsheng Zheng, et al.
Laboratory Investigation (2024) Vol. 105, Iss. 1, pp. 102187-102187
Closed Access
The Clinical Added Value of Breast Cancer Imaging Using Hybrid PET/MR Imaging
Ismini Mainta, Ilektra Sfakianaki, Isaac Shiri, et al.
Magnetic Resonance Imaging Clinics of North America (2023) Vol. 31, Iss. 4, pp. 565-577
Closed Access | Times Cited: 1
Diagnostic potential of [18F]FDG PET/MRI in non-small cell lung cancer lymph node metastasis: a meta-analysis
Min Zhang, Wenwen Yang, Yuhang Yuan, et al.
Japanese Journal of Radiology (2023) Vol. 42, Iss. 1, pp. 87-95
Closed Access | Times Cited: 1
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
Letter from the Editors
Kirsten Bouchelouche, Mike Sathekge
Seminars in Nuclear Medicine (2022) Vol. 52, Iss. 6, pp. 647-649
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
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
Editorial Commentary: Baseline Radiomic Signature to Estimate Overall Survival in Patients With NSCLC
Jeremy J. Erasmus, Ioannis Vlahos
Journal of Thoracic Oncology (2023) Vol. 18, Iss. 5, pp. 556-558
Closed Access
Combined morphologic-metabolic biomarkers from [18F]FDG-PET/CT stratify prognostic groups in low-risk NSCLC
Katharina Deininger, Joel Niclas Raacke, Elham Yousefzadeh-Nowshahr, et al.
Nuklearmedizin - NuclearMedicine (2023) Vol. 62, Iss. 05, pp. 284-292
Closed Access
Fused multimodal radiomics with deep learning for predicting EGFR-sensitizing mutations based on 18F- PET/CT images
Zheying Huang, Yanjie Zhu, Yan Wang, et al.
(2023), pp. 1-1
Closed Access
PET and CT Information Fusion and Quality Assessment Toward Optimized Radiomic Features Extraction
Mehdi Amini, Isaac Shiri, Habib Zaidi
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
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

Scroll to top