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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 applications to medical images: From machine learning to deep learning
Isabella Castiglioni, Leonardo Rundo, Marina Codari, et al.
Physica Medica (2021) Vol. 83, pp. 9-24
Open Access | Times Cited: 473

Showing 1-25 of 473 citing articles:

Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
Michael Yeung, Evis Sala, Carola‐Bibiane Schönlieb, et al.
Computerized Medical Imaging and Graphics (2021) Vol. 95, pp. 102026-102026
Open Access | Times Cited: 360
Vision Transformers in medical computer vision—A contemplative retrospection
Arshi Parvaiz, Muhammad Anwaar Khalid, Rukhsana Zafar, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106126-106126
Open Access | Times Cited: 138
Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods
Shruti Atul Mali, Abdalla Ibrahim, Henry C. Woodruff, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 9, pp. 842-842
Open Access | Times Cited: 124
Deep Learning for Medical Image-Based Cancer Diagnosis
Xiaoyan Jiang, Zuojin Hu, Shuihua Wang‎, et al.
Cancers (2023) Vol. 15, Iss. 14, pp. 3608-3608
Open Access | Times Cited: 101
Deep Convolutional Spiking Neural Network optimized with Arithmetic optimization algorithm for lung disease detection using chest X-ray images
R. Rajagopal, R. Karthick, P. Meenalochini, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104197-104197
Closed Access | Times Cited: 97
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
J. M. Górriz, I. Álvarez, Agustín Álvarez-Marquina, et al.
Information Fusion (2023) Vol. 100, pp. 101945-101945
Open Access | Times Cited: 96
Explanation-Driven Deep Learning Model for Prediction of Brain Tumour Status Using MRI Image Data
Loveleen Gaur, Mohan Bhandari, Tanvi Razdan, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 89
Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning
Mahati Munikoti Srikantamurthy, V.P. Subramanyam Rallabandi, Dawood B. Dudekula, et al.
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 88
Data Augmentation and Transfer Learning for Brain Tumor Detection in Magnetic Resonance Imaging
Andrés Anaya-Isaza, Leonel Mera-Jiménez
IEEE Access (2022) Vol. 10, pp. 23217-23233
Open Access | Times Cited: 84
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability
Lukas-Valentin Herm, Kai Heinrich, Jonas Wanner, et al.
International Journal of Information Management (2022) Vol. 69, pp. 102538-102538
Open Access | Times Cited: 82
On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks
Saeed Iqbal, Adnan N. Qureshi, Jianqiang Li, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3173-3233
Open Access | Times Cited: 78
Skin Cancer Classification With Deep Learning: A Systematic Review
Yinhao Wu, Bin Chen, An Zeng, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 70
Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations
Pouyan Esmaeilzadeh
Artificial Intelligence in Medicine (2024) Vol. 151, pp. 102861-102861
Closed Access | Times Cited: 57
From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare
Chiranjib Chakraborty, Manojit Bhattacharya, Soumen Pal, et al.
Current Research in Biotechnology (2023) Vol. 7, pp. 100164-100164
Open Access | Times Cited: 54
Artificial intelligence-based techniques for adulteration and defect detections in food and agricultural industry: A review
Suhaili Othman, Nidhi Rajesh Mavani, M.A. Hussain, et al.
Journal of Agriculture and Food Research (2023) Vol. 12, pp. 100590-100590
Open Access | Times Cited: 42
Microglial morphometric analysis: so many options, so little consistency
Jack Reddaway, Peter Richardson, Ryan J. Bevan, et al.
Frontiers in Neuroinformatics (2023) Vol. 17
Open Access | Times Cited: 41
Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities
Anichur Rahman, Tanoy Debnath, Dipanjali Kundu, et al.
AIMS Public Health (2024) Vol. 11, Iss. 1, pp. 58-109
Open Access | Times Cited: 33
A systematic review of deep learning based image segmentation to detect polyp
Mayuri Gupta, Ashish Mishra
Artificial Intelligence Review (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 27
A Review of Machine Learning Algorithms for Biomedical Applications
V A Binson, Sania Thomas, M. Subramoniam, et al.
Annals of Biomedical Engineering (2024) Vol. 52, Iss. 5, pp. 1159-1183
Closed Access | Times Cited: 21
A critical review of machine learning algorithms in maritime, offshore, and oil & gas corrosion research: A comprehensive analysis of ANN and RF models
Md Mahadi Hasan Imran, Shahrizan Jamaludin, Ahmad Faisal Mohamad Ayob
Ocean Engineering (2024) Vol. 295, pp. 116796-116796
Closed Access | Times Cited: 18
Multi-Class Kidney Abnormalities Detecting Novel System Through Computed Tomography
Sagar Dhanraj Pande, Raghav Agarwal
IEEE Access (2024) Vol. 12, pp. 21147-21155
Open Access | Times Cited: 15
From Machine Learning to Patient Outcomes: A Comprehensive Review of AI in Pancreatic Cancer
Satvik Tripathi, Azadeh Tabari, Arian Mansur, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 174-174
Open Access | Times Cited: 15
External validation of automated prostate MR T2-weighted image quality assessment on multi-centre multi-vendor data
Linda C.P. Thijssen, Maarten de Rooij, Henkjan Huisman
(2025), pp. 100002-100002
Open Access | Times Cited: 1
A Comprehensive Survey of Deep Learning Approaches in Image Processing
Μαρία Τρίγκα, Ηλίας Δρίτσας
Sensors (2025) Vol. 25, Iss. 2, pp. 531-531
Open Access | Times Cited: 1
An overview of deep learning in medical imaging
Andrés Anaya-Isaza, Leonel Mera-Jiménez, Martha Zequera-Diaz
Informatics in Medicine Unlocked (2021) Vol. 26, pp. 100723-100723
Open Access | Times Cited: 90
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