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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 Deep-Learning Approach for Diagnosis of Metastatic Breast Cancer in Bones from Whole-Body Scans
Νικόλαος Παπανδριανός, Elpiniki I. Papageorgiou, Athanasios Anagnostis, et al.
Applied Sciences (2020) Vol. 10, Iss. 3, pp. 997-997
Open Access | Times Cited: 74

Showing 51-75 of 74 citing articles:

Does COVID-19 Clinical Status Associate with Outcome Severity? An Unsupervised Machine Learning Approach for Knowledge Extraction
Eleni Karlafti, Athanasios Anagnostis, Evangelia Kotzakioulafi, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 12, pp. 1380-1380
Open Access | Times Cited: 6
Integrating Transfer Learning and Feature Aggregation into Self-defined Convolutional Neural Network for Automated Detection of Lung Cancer Bone Metastasis
Yanru Guo, Qiang Lin, Yübo Wang, et al.
Journal of Medical and Biological Engineering (2022) Vol. 43, Iss. 1, pp. 53-62
Closed Access | Times Cited: 4
Bone Cancer Detection techniques using Machine Learning
Charnpreet Kaur, Urvashi Garg
(2022), pp. 315-319
Closed Access | Times Cited: 4
Automatic Bone Metastasis Classification: An in-depth Comparison of CNN and Transformer Architectures
Marwa Afnouch, Olfa Gaddour, Fares Bougourzi, et al.
2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) (2023), pp. 1-6
Closed Access | Times Cited: 2
Deep learning application in diagnosing breast cancer recurrence
Zeinab Jam, Amir Albadvi, Alireza Atashi
Multimedia Tools and Applications (2024)
Closed Access
Role of Radiology in the Diagnosis and Treatment of Breast Cancer in Women: A Comprehensive Review
Muhammad Arslan, Muhammad Asim, Hina Sattar, et al.
Cureus (2024)
Open Access
Efficacy of feature selection and Classification algorithms in cancer remission using medical imaging
Małgorzata Krzywicka, Agnieszka Wosiak
Procedia Computer Science (2024) Vol. 246, pp. 4572-4581
Open Access
BMSMM-Net: A Bone Metastasis Segmentation Framework Based on Mamba and Multiperspective Extraction
Fangxin Shang, Sicong Tang, Xiaorong Wan, et al.
Academic Radiology (2024)
Closed Access
Comparison of irregular flux viewer system with BONENAVI version for identification of Tc-99m MDP whole body bone scan metastasis images
Chang-Ching Yu, Chien-Yi Ting, Ming‐Hui Yang, et al.
Journal of X-Ray Science and Technology (2021) Vol. 29, Iss. 4, pp. 617-633
Closed Access | Times Cited: 4
Metastatic Breast Cancer Detection Using Deep Learning Algorithms: A Systematic Review
Victoria Oluwaseyi Adedayo-Ajayi, Roseline Oluwaseun Ogundokun, Aderemi Emmanuel Tunbosun, et al.
(2023)
Closed Access | Times Cited: 1
Combining attention mechanisms and residual networks for automatic multi-disease diagnosis of bone scan images
Lisen Peng, Yongchun Cao, Peili Tao, et al.
(2023), pp. 893-898
Closed Access | Times Cited: 1
Image classification of bone metastases from lung cancer based on attention mechanism
Y. Wu, Yang He, Qiang Lin, et al.
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) (2023), pp. 1759-1762
Closed Access | Times Cited: 1
Multi-disease classification of whole-body scintigraphy images based on deep learning
Liangxia Liu, Yongchun Cao, Qiang Lin, et al.
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) (2022) Vol. 30, pp. 133-137
Closed Access | Times Cited: 2
Improving Clinical Prediction of Later Occurrence of Breast Cancer Metastasis Using Deep Learning and Machine Learning with Grid Search
Xia Jiang, Chuhan Xu
(2022)
Open Access | Times Cited: 2
Dual Input Scintigraphy Image-based Fused Deep Neural Networks for Bone Abnormalities Detection and Differentiation
Ghasem Hajianfar, Maziar Sabouri, Soroush Bagheri, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021) Vol. 88, pp. 1-3
Closed Access | Times Cited: 2
Development of Convolutional Neural Networkbased models for bone metastasis classification in nuclear medicine
Νικόλαος Παπανδριανός, Elpiniki I. Papageorgiou, Athanasios Anagnostis, et al.
(2020), pp. 1-8
Closed Access | Times Cited: 1
A Convolutional Neural Network-based explainable classification method of SPECT myocardial perfusion images in nuclear cardiology
Νικόλαος Παπανδριανός, Anna Feleki, Serafeim Moustakidis, et al.
(2022), pp. 1-7
Closed Access | Times Cited: 1
Segmentation Approach for Nucleus Cytoplasm of Ewing Sarcoma
B.S. Vandana
Smart innovation, systems and technologies (2023), pp. 139-152
Closed Access
A discrete equilibrium optimization algorithm for breast cancer diagnosis
Hichem Haouassi, Rafik Mahdaoui, Ouahiba Chouhal
Intelligent Data Analysis (2023) Vol. 27, Iss. 4, pp. 1185-1204
Closed Access
Using the STEGO Neural Network for Scintigraphic Image Analysis
Ivan Ulitin, Marina Barulina, Марина Миколаївна Великанова
(2023), pp. 5-5
Open Access
Bone Metastasis Prediction Using Federated Learning
Salman Ibne Eunus
(2023)
Open Access
Computer-aided diagnosis of skeletal metastases in multi-parametric whole-body MRI
Jakub Ceranka, Joris Wuts, Ophélye Chiabai, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 242, pp. 107811-107811
Open Access
Sensitivity of Standard Evaluation Metrics for Disease Classification and Progression Assessment Based on Whole-Body Imaging
Małgorzata Krzywicka, Agnieszka Wosiak
Procedia Computer Science (2023) Vol. 225, pp. 4314-4323
Open Access
Detection of Ductal Carcinoma Using Restricted Boltzmann Machine and Autoencoder (RBM-AE) in PET Scan
Jyoti Rani, Mahalingam Ramkumar, G. S. R. Emil Selvan
Lecture notes in electrical engineering (2023), pp. 189-201
Closed Access
A Federated Learning Approach to Bone Metastasis Prediction Using Convolutional Neural Network
Syed Muaz Ali, Salman Ibne Eunus, Tasfia Anika Bushra, et al.
(2023), pp. 1-6
Closed Access
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