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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:

A preliminary PET radiomics study of brain metastases using a fully automatic segmentation method
Alessandro Stefano, Albert Comelli, Valentina Bravatà, et al.
BMC Bioinformatics (2020) Vol. 21, Iss. S8
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Deep Learning-Based Methods for Prostate Segmentation in Magnetic Resonance Imaging
Albert Comelli, Navdeep Dahiya, Alessandro Stefano, et al.
Applied Sciences (2021) Vol. 11, Iss. 2, pp. 782-782
Open Access | Times Cited: 67
Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy
Michele Avanzo, M. Porzio, Leda Lorenzon, et al.
Physica Medica (2021) Vol. 83, pp. 221-241
Closed Access | Times Cited: 67
A Systematic Review of PET Textural Analysis and Radiomics in Cancer
Manuel Piñeiro-Fiel, Alexis Moscoso, Virginia Pubul, et al.
Diagnostics (2021) Vol. 11, Iss. 2, pp. 380-380
Open Access | Times Cited: 47
Customized Efficient Neural Network for COVID-19 Infected Region Identification in CT Images
Alessandro Stefano, Albert Comelli
Journal of Imaging (2021) Vol. 7, Iss. 8, pp. 131-131
Open Access | Times Cited: 44
Robustness of PET Radiomics Features: Impact of Co-Registration with MRI
Alessandro Stefano, Antonio Leal, Selene Richiusa, et al.
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 10170-10170
Open Access | Times Cited: 43
How Machine Learning is Powering Neuroimaging to Improve Brain Health
Nalini Singh, Jordan B. Harrod, Sandya Subramanian, et al.
Neuroinformatics (2022) Vol. 20, Iss. 4, pp. 943-964
Open Access | Times Cited: 31
Machine learning models predict overall survival and progression free survival of non-surgical esophageal cancer patients with chemoradiotherapy based on CT image radiomics signatures
Yongbin Cui, Zhengjiang Li, Mingyue Xiang, et al.
Radiation Oncology (2022) Vol. 17, Iss. 1
Open Access | Times Cited: 30
Performance of Radiomics Features in the Quantification of Idiopathic Pulmonary Fibrosis from HRCT
Alessandro Stefano, Mauro Gioè, G. Russo, et al.
Diagnostics (2020) Vol. 10, Iss. 5, pp. 306-306
Open Access | Times Cited: 43
Lung Segmentation on High-Resolution Computerized Tomography Images Using Deep Learning: A Preliminary Step for Radiomics Studies
Albert Comelli, Claudia Coronnello, Navdeep Dahiya, et al.
Journal of Imaging (2020) Vol. 6, Iss. 11, pp. 125-125
Open Access | Times Cited: 41
Hybrid descriptive‐inferential method for key feature selection in prostate cancer radiomics
Stefano Barone, Roberto Cannella, Albert Comelli, et al.
Applied Stochastic Models in Business and Industry (2021) Vol. 37, Iss. 5, pp. 961-972
Closed Access | Times Cited: 34
Forecasting the impact of environmental stresses on the frequent waves of COVID19
Zhenhua Yu, Abdel‐Salam G. Abdel‐Salam, Ayesha Sohail, et al.
Nonlinear Dynamics (2021) Vol. 106, Iss. 2, pp. 1509-1523
Open Access | Times Cited: 30
Application of Artificial Intelligence in Oncologic Molecular PET-Imaging: A Narrative Review on Beyond [18F]F-FDG Tracers Part II. [F]F-FLT, [F]F-FET, [C]C-MET and Other Less-Commonly Used Radiotracers
Roya Eisazadeh, Malihe Shahbazi-Akbari, Seyed Ali Mirshahvalad, et al.
Seminars in Nuclear Medicine (2024) Vol. 54, Iss. 2, pp. 293-301
Open Access | Times Cited: 4
Insights into radiomics: impact of feature selection and classification
Alessandra Perniciano, Andrea Loddo, Cecilia Di Ruberto, et al.
Multimedia Tools and Applications (2024)
Open Access | Times Cited: 4
Towards automatical tumor segmentation in radiomics: a comparative analysis of various methods and radiologists for both region extraction and downstream diagnosis
Ying Yu, Gangfeng Li, Weixiong Tan, et al.
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access
Development of a new fully three-dimensional methodology for tumours delineation in functional images
Albert Comelli, Samuel Bignardi, Alessandro Stefano, et al.
Computers in Biology and Medicine (2020) Vol. 120, pp. 103701-103701
Open Access | Times Cited: 32
Radiomics: A New Biomedical Workflow to Create a Predictive Model
Albert Comelli, Alessandro Stefano, Claudia Coronnello, et al.
Communications in computer and information science (2020), pp. 280-293
Closed Access | Times Cited: 31
Quality of Radiomics Research on Brain Metastasis: A Roadmap to Promote Clinical Translation
Chae Jung Park, Yae Won Park, Sung Soo Ahn, et al.
Korean Journal of Radiology (2022) Vol. 23, Iss. 1, pp. 77-77
Open Access | Times Cited: 18
Artificial Intelligence Applications on Restaging [18F]FDG PET/CT in Metastatic Colorectal Cancer: A Preliminary Report of Morpho-Functional Radiomics Classification for Prediction of Disease Outcome
Pierpaolo Alongi, Alessandro Stefano, Albert Comelli, et al.
Applied Sciences (2022) Vol. 12, Iss. 6, pp. 2941-2941
Open Access | Times Cited: 18
In-Series U-Net Network to 3D Tumor Image Reconstruction for Liver Hepatocellular Carcinoma Recognition
Wen‐Fan Chen, Hsin‐You Ou, Keng-Hao Liu, et al.
Diagnostics (2020) Vol. 11, Iss. 1, pp. 11-11
Open Access | Times Cited: 24
Reproducibility of Baseline Tumour Metabolic Volume Measurements in Diffuse Large B-Cell Lymphoma: Is There a Superior Method?
Florian Eude, Mathieu Nessim Toledano, Pierre Véra, et al.
Metabolites (2021) Vol. 11, Iss. 2, pp. 72-72
Open Access | Times Cited: 22
Artificial Intelligence for Survival Prediction in Brain Tumors on Neuroimaging
Anne Jian, Sidong Liu, Antonio Di Ieva
Neurosurgery (2022) Vol. 91, Iss. 1, pp. 8-26
Closed Access | Times Cited: 15
A diagnosis model in nasopharyngeal carcinoma based on PET/MRI radiomics and semiquantitative parameters
Qi Feng, Jiangtao Liang, Luoyu Wang, et al.
BMC Medical Imaging (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 13
Predictive value of delta radiomics in xerostomia after chemoradiotherapy in patients with stage III-IV nasopharyngeal carcinoma
Mengze Wang, Yuzhen Xi, Luoyu Wang, et al.
Radiation Oncology (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 2
Performance evaluation in [18F]Florbetaben brain PET images classification using 3D Convolutional Neural Network
Seung-Yeon Lee, Hyeon Kang, Jong-Hun Jeong, et al.
PLoS ONE (2021) Vol. 16, Iss. 10, pp. e0258214-e0258214
Open Access | Times Cited: 15
Radiomics Analysis on Gadoxetate Disodium-Enhanced MRI Predicts Response to Transarterial Embolization in Patients with HCC
Roberto Cannella, Carla Cammà, Francesco Matteini, et al.
Diagnostics (2022) Vol. 12, Iss. 6, pp. 1308-1308
Open Access | Times Cited: 10
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