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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:

AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging
Fereshteh Yousefirizi, Pierre Decazes, Amine Amyar, et al.
PET Clinics (2021) Vol. 17, Iss. 1, pp. 183-212
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Revolutionizing drug discovery: The impact of artificial intelligence on advancements in pharmacology and the pharmaceutical industry
Seema Yadav, Abhishek Singh, Rishika Singhal, et al.
Intelligent Pharmacy (2024) Vol. 2, Iss. 3, pp. 367-380
Open Access | Times Cited: 28
[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
Interacting with medical artificial intelligence: Integrating self-responsibility attribution, human–computer trust, and personality
Weiwei Huo, Guanghui Zheng, Jiaqi Yan, et al.
Computers in Human Behavior (2022) Vol. 132, pp. 107253-107253
Closed Access | Times Cited: 44
Radiomics and artificial intelligence in prostate cancer: new tools for molecular hybrid imaging and theragnostics
Virginia Liberini, Riccardo Laudicella, Michele Balma, et al.
European Radiology Experimental (2022) Vol. 6, Iss. 1
Open Access | Times Cited: 44
Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning
Isaac Shiri, Alireza Vafaei Sadr, Azadeh Akhavan, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2022) Vol. 50, Iss. 4, pp. 1034-1050
Open Access | Times Cited: 38
Automatic Detection, Classification, and Grading of Lumbar Intervertebral Disc Degeneration Using an Artificial Neural Network Model
Wongthawat Liawrungrueang, Pyeoungkee Kim, Vit Kotheeranurak, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 663-663
Open Access | Times Cited: 26
Radiomics and Artificial Intelligence in Radiotheranostics: A Review of Applications for Radioligands Targeting Somatostatin Receptors and Prostate-Specific Membrane Antigens
Elmira Yazdani, Parham Geramifar, Najme Karamzade-Ziarati, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 181-181
Open Access | Times Cited: 14
Brain tumor segmentation using neuro-technology enabled intelligence-cascaded U-Net model
Haewon Byeon, Mohannad Al-Kubaisi, Ashit Kumar Dutta, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 11
Advances in AI-assisted biochip technology for biomedicine
Didem Rodoplu
Biomedicine & Pharmacotherapy (2024) Vol. 177, pp. 116997-116997
Closed Access | Times Cited: 8
Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem
Babak Saboury, Tyler Bradshaw, Ronald Boellaard, et al.
Journal of Nuclear Medicine (2022) Vol. 64, Iss. 2, pp. 188-196
Open Access | Times Cited: 34
Revolutionizing tumor detection and classification in multimodality imaging based on deep learning approaches: methods, applications and limitations
Dildar Hussain, Mohammed A. Al‐masni, Muhammad Aslam, et al.
Journal of X-Ray Science and Technology (2024) Vol. 32, Iss. 4, pp. 857-911
Closed Access | Times Cited: 5
A multi-view co-training network for semi-supervised medical image-based prognostic prediction
Hailin Li, Siwen Wang, Bo Liu, et al.
Neural Networks (2023) Vol. 164, pp. 455-463
Closed Access | Times Cited: 11
Osteoporotic vertebral compression fracture (OVCF) detection using artificial neural networks model based on the AO spine-DGOU osteoporotic fracture classification system
Wongthawat Liawrungrueang, Sung Tan Cho, Vit Kotheeranurak, et al.
North American Spine Society Journal (NASSJ) (2024) Vol. 19, pp. 100515-100515
Open Access | Times Cited: 4
Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts
Marius George Linguraru, Spyridon Bakas, Mariam Aboian, et al.
Radiology Artificial Intelligence (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 4
Characterization of artificial intelligence performance for lesion detection using synthetic lesions in PET imaging
Quinn de Bourbon, Shadab Ahamed, Paul Blanc‐Durand, et al.
Medical Physics (2025)
Open Access
DEO-Fusion: Differential evolution optimization for fusion of CNN models in eye disease detection
Sohaib Asif
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107853-107853
Closed Access
Multi-task multi-scale learning for outcome prediction in 3D PET images
Amine Amyar, Romain Modzelewski, Pierre Véra, et al.
Computers in Biology and Medicine (2022) Vol. 151, pp. 106208-106208
Open Access | Times Cited: 15
Radiomics signature from [18F]FDG PET images for prognosis predication of primary gastrointestinal diffuse large B cell lymphoma
Chong Jiang, Huang Xiang-jun, Ang Li, et al.
European Radiology (2022) Vol. 32, Iss. 8, pp. 5730-5741
Closed Access | Times Cited: 14
Systematic Review of Tumor Segmentation Strategies for Bone Metastases
Iromi R. Paranavithana, David Stirling, Montserrat Ros, et al.
Cancers (2023) Vol. 15, Iss. 6, pp. 1750-1750
Open Access | Times Cited: 7
Deep learning for automatic tumor lesions delineation and prognostic assessment in multi-modality PET/CT: A prospective survey
Muhammad Zubair Islam, Rizwan Ali Naqvi, Amir Haider, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106276-106276
Closed Access | Times Cited: 7
Information fusion for fully automated segmentation of head and neck tumors from PET and CT images
Isaac Shiri, Mehdi Amini, Fereshteh Yousefirizi, et al.
Medical Physics (2023) Vol. 51, Iss. 1, pp. 319-333
Open Access | Times Cited: 7
Tensor radiomics: paradigm for systematic incorporation of multi-flavoured radiomics features
Arman Rahmim, Amirhosein Toosi, Mohammad R. Salmanpour, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 12, pp. 7680-7694
Open Access | Times Cited: 6
Weakly Supervised Tumor Detection in PET Using Class Response for Treatment Outcome Prediction
Amine Amyar, Romain Modzelewski, Pierre Véra, et al.
Journal of Imaging (2022) Vol. 8, Iss. 5, pp. 130-130
Open Access | Times Cited: 9
Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features
Arman Rahmim, Amirhosein Toosi, Mohammad R. Salmanpour, et al.
SSRN Electronic Journal (2022)
Open Access | Times Cited: 8
Radiomics predictive modeling from dual-time-point FDG PET Ki parametric maps: application to chemotherapy response in lymphoma
Rezvan Samimi, Isaac Shiri, Yashar Ahmadyar, et al.
EJNMMI Research (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
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