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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.

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Showing 15 citing articles:

A Modified LeNet CNN for Breast Cancer Diagnosis in Ultrasound Images
Sathiyabhama Balasubramaniam, Yuvarajan Velmurugan, Dhayanithi Jaganathan, et al.
Diagnostics (2023) Vol. 13, Iss. 17, pp. 2746-2746
Open Access | Times Cited: 29
Invasive Lobular Carcinoma: A Review of Imaging Modalities with Special Focus on Pathology Concordance
Alicia M Pereslucha, Danielle M. Wenger, Michael F. Morris, et al.
Healthcare (2023) Vol. 11, Iss. 5, pp. 746-746
Open Access | Times Cited: 21
Enhancing Ductal Carcinoma Classification Using Transfer Learning with 3D U-Net Models in Breast Cancer Imaging
Saman Khalil, Uroosa Nawaz, Zubariah Zubariah, et al.
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4255-4255
Open Access | Times Cited: 20
Revolutionizing Breast Cancer Diagnosis: A Concatenated Precision through Transfer Learning in Histopathological Data Analysis
Dhayanithi Jaganathan, Sathiyabhama Balasubramaniam, Vidhushavarshini Sureshkumar, et al.
Diagnostics (2024) Vol. 14, Iss. 4, pp. 422-422
Open Access | Times Cited: 6
Deep Learning in Different Ultrasound Methods for Breast Cancer, from Diagnosis to Prognosis: Current Trends, Challenges, and an Analysis
Humayra Afrin, Nicholas B. Larson, Mostafa Fatemi, et al.
Cancers (2023) Vol. 15, Iss. 12, pp. 3139-3139
Open Access | Times Cited: 14
Editorial: Recent Advances in Deep Learning and Medical Imaging for Cancer Treatment
Muhammad Fazal Ijaz, Marcin Woźniak
Cancers (2024) Vol. 16, Iss. 4, pp. 700-700
Open Access | Times Cited: 4
Attention-Based Deep Learning System for Classification of Breast Lesions—Multimodal, Weakly Supervised Approach
Maciej Bobowicz, Marlena Rygusik, Jakub Buler, et al.
Cancers (2023) Vol. 15, Iss. 10, pp. 2704-2704
Open Access | Times Cited: 10
Embedded Sensor Systems in Medical Devices: Requisites and Challenges Ahead
Nerea Arandia, José Ignacio Gárate, Jon Mabe
Sensors (2022) Vol. 22, Iss. 24, pp. 9917-9917
Open Access | Times Cited: 16
Errors in Radiology: A Standard Review
Filippo Pesapane, Giulia Gnocchi, Cettina Quarrella, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 15, pp. 4306-4306
Open Access | Times Cited: 2
Imaging Modalities in Inflammatory Breast Cancer (IBC) Diagnosis: A Computer-Aided Diagnosis System Using Bilateral Mammography Images
Buket D. Barkana, Ahmed El-Sayed, Rana Khaled, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 64-64
Open Access | Times Cited: 6
Breast Cancer Detection with Quanvolutional Neural Networks
Nadine Matondo-Mvula, Khaled Elleithy
Entropy (2024) Vol. 26, Iss. 8, pp. 630-630
Open Access
The Performance and Clinical Applicability of HER2 Digital Image Analysis in Breast Cancer: A Systematic Review
Gauhar Dunenova, Zhanna Kalmataeva, Dilyara Kaidarova, et al.
Cancers (2024) Vol. 16, Iss. 15, pp. 2761-2761
Open Access
Impact of Hyperparameter Optimization to Enhance Machine Learning Performance: A Case Study on Breast Cancer Recurrence Prediction
Lorena González-Castro, Marcela Chávez, Patrick Duflot, et al.
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5909-5909
Open Access
A Novel Bioinspired Algorithm for Mixed and Incomplete Breast Cancer Data Classification
David González-Patiño, Yenny Villuendas-Rey, Magdalena Saldaña-Pérez, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 4, pp. 3240-3240
Open Access | Times Cited: 1
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