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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:

Radiomics Diagnostic Tool Based on Deep Learning for Colposcopy Image Classification
Yuliana Jiménez-Gaona, Darwin Castillo, Bernardo Vega, et al.
Diagnostics (2022) Vol. 12, Iss. 7, pp. 1694-1694
Open Access | Times Cited: 15

Showing 15 citing articles:

Fusion of shallow and deep features from 18F-FDG PET/CT for predicting EGFR-sensitizing mutations in non-small cell lung cancer
Xiaohui Yao, Yuan Zhu, Zhenxing Huang, et al.
Quantitative Imaging in Medicine and Surgery (2024) Vol. 14, Iss. 8, pp. 5460-5472
Open Access | Times Cited: 23
Deep Learning in Cervical Cancer Diagnosis: Architecture, Opportunities, and Open Research Challenges
Nina Youneszade, Mohsen Marjani, Pei Pei Chong
IEEE Access (2023) Vol. 11, pp. 6133-6149
Open Access | Times Cited: 28
Gan-based data augmentation to improve breast ultrasound and mammography mass classification
Yuliana Jiménez-Gaona, Diana Carrión-Figueroa, Vasudevan Lakshminarayanan, et al.
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106255-106255
Open Access | Times Cited: 7
Deep learning techniques for cervical cancer diagnosis based on pathology and colposcopy images
Hannah Ahmadzadeh Sarhangi, Dorsa Beigifard, Elahe Farmani, et al.
Informatics in Medicine Unlocked (2024) Vol. 47, pp. 101503-101503
Open Access | Times Cited: 6
BraNet: a mobil application for breast image classification based on deep learning algorithms
Yuliana Jiménez-Gaona, María José Rodríguez Álvarez, Darwin Castillo, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 9, pp. 2737-2756
Open Access | Times Cited: 5
Leveraging swin transformer with ensemble of deep learning model for cervical cancer screening using colposcopy images
D. Dakshayani Himabindu, E. Laxmi Lydia, M. Rajesh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Colposcopic Image Segmentation Based on Feature Refinement and Attention
Yuxi He, Liping Liu, Jinliang Wang, et al.
IEEE Access (2024) Vol. 12, pp. 40856-40870
Open Access | Times Cited: 3
Segmentation and Classification Techniques for Pap Smear Images in Detecting Cervical Cancer: A Systematic Review
Betelhem Zewdu Wubineh, Andrzej Rusiecki, Krzysztof Halawa
IEEE Access (2024) Vol. 12, pp. 118195-118213
Open Access | Times Cited: 3
A Predictive Model to Detect Cervical Diseases Using Convolutional Neural Network Algorithms and Digital Colposcopy Images
Nina Youneszade, Mohsen Marjani, Sayan Kumar Ray
IEEE Access (2023) Vol. 11, pp. 59882-59898
Open Access | Times Cited: 8
Multi-Modal Deep Learning Architecture for Improved Colposcopy Image Classification
Priyadarshini Chatterjee, Shadab Siddiqui
(2024)
Open Access | Times Cited: 1
CervicoXNet: an automated cervicogram interpretation network
Siti Nurmaini, Muhammad Naufal Rachmatullah, Patiyus Agustiansyah, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 9, pp. 2405-2416
Closed Access | Times Cited: 3
Multi-Modal Deep Learning Architecture for Improved Colposcopy Image Classification
Priyadarshini Chatterjee, Shadab Siddiqui
Research Square (Research Square) (2024)
Open Access
COMPUTED-ASSISTED DIAGNOSIS IN DIAGNOSTIC CERVICAL CANCER IMAGING : A TEN YEARS SYSTEMATIC REVIEW
Rahmita Kusuma Dewi, Asri Kurnia Dewi, Nandya Meitadani
Journal of Advance Research in Medical & Health Science (ISSN 2208-2425) (2024) Vol. 10, Iss. 2, pp. 170-176
Open Access
Classification of cervical cancer using Dense CapsNet with Seg-UNet and denoising autoencoders
Hui Yang, Walid Aydi, Nisreen Innab, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Comparative Analysis of Deep Learning Pre- Trained Models and Machine Learning Classifiers for Accurate Cervical Cancer Diagnosis using Colposcopy Images
Madhura Kalbhor, Swati Vijay Shinde
2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA (2023), pp. 1-6
Closed Access
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