
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:
An Improved Endoscopic Automatic Classification Model for Gastroesophageal Reflux Disease Using Deep Learning Integrated Machine Learning
Hsu–Heng Yen, Hui‐Yu Tsai, Chi‐Chih Wang, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2827-2827
Open Access | Times Cited: 13
Hsu–Heng Yen, Hui‐Yu Tsai, Chi‐Chih Wang, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2827-2827
Open Access | Times Cited: 13
Showing 13 citing articles:
Harnessing Machine Learning for Quantifying Vesicoureteral Reflux: A Promising Approach for Objective Assessment
Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon, Mohammad Subhi Al-Batah, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2024) Vol. 20, Iss. 11, pp. 123-145
Open Access | Times Cited: 19
Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon, Mohammad Subhi Al-Batah, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2024) Vol. 20, Iss. 11, pp. 123-145
Open Access | Times Cited: 19
Rock Image Classification Based on EfficientNet and Triplet Attention Mechanism
Zhihao Huang, Lumei Su, Jiajun Wu, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3180-3180
Open Access | Times Cited: 23
Zhihao Huang, Lumei Su, Jiajun Wu, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3180-3180
Open Access | Times Cited: 23
Automated Quantification of Vesicoureteral Reflux using Machine Learning with Advancing Diagnostic Precision
Mohammad Subhi Al-Batah, Mohammad Subhi Al-Batah, Mowafaq Salem Alzboon, et al.
Data & Metadata (2024) Vol. 4, pp. 460-460
Closed Access | Times Cited: 11
Mohammad Subhi Al-Batah, Mohammad Subhi Al-Batah, Mowafaq Salem Alzboon, et al.
Data & Metadata (2024) Vol. 4, pp. 460-460
Closed Access | Times Cited: 11
Hydroxytyrosol and Its Potential Uses on Intestinal and Gastrointestinal Disease
Alessia Arangia, Ylenia Marino, Daniela Impellizzeri, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 4, pp. 3111-3111
Open Access | Times Cited: 13
Alessia Arangia, Ylenia Marino, Daniela Impellizzeri, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 4, pp. 3111-3111
Open Access | Times Cited: 13
Digital health in GERD
Alexander Kusnik, Alexander Hewlett
Elsevier eBooks (2025), pp. 357-362
Closed Access
Alexander Kusnik, Alexander Hewlett
Elsevier eBooks (2025), pp. 357-362
Closed Access
Constructing an artificial intelligence-assisted system for the assessment of gastroesophageal valve function based on the hill classification (with video)
Jian Chen, Ganhong Wang, Kaijian Xia, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Jian Chen, Ganhong Wang, Kaijian Xia, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Enhanced Runge-Kutta-driven feature selection model for early detection of gastroesophageal reflux disease
Jinlei Mao, Zhihao Zhu, Minjun Xia, et al.
Computers in Biology and Medicine (2024) Vol. 175, pp. 108394-108394
Closed Access | Times Cited: 2
Jinlei Mao, Zhihao Zhu, Minjun Xia, et al.
Computers in Biology and Medicine (2024) Vol. 175, pp. 108394-108394
Closed Access | Times Cited: 2
Screening and Diagnostic Advances of Artificial Intelligence in Endoscopy
Muhammed Yaman Swied, M. Alom, Obada Daaboul, et al.
Innovations in Digital Health Diagnostics and Biomarkers (2024) Vol. 4, Iss. 2024, pp. 31-43
Open Access | Times Cited: 1
Muhammed Yaman Swied, M. Alom, Obada Daaboul, et al.
Innovations in Digital Health Diagnostics and Biomarkers (2024) Vol. 4, Iss. 2024, pp. 31-43
Open Access | Times Cited: 1
Explainable AI based automated segmentation and multi-stage classification of gastroesophageal reflux using machine learning techniques
Rudrani Maity, V. M. Raja Sankari, U. Snekhalatha, et al.
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 4, pp. 045058-045058
Open Access | Times Cited: 1
Rudrani Maity, V. M. Raja Sankari, U. Snekhalatha, et al.
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 4, pp. 045058-045058
Open Access | Times Cited: 1
Using deep learning to assess the function of gastroesophageal flap valve according to the Hill classification system
Zhenyang Ge, Youjiang Fang, Jiuyang Chang, et al.
Annals of Medicine (2023) Vol. 55, Iss. 2
Open Access | Times Cited: 3
Zhenyang Ge, Youjiang Fang, Jiuyang Chang, et al.
Annals of Medicine (2023) Vol. 55, Iss. 2
Open Access | Times Cited: 3
Role of Artificial Intelligence in the Diagnosis of Gastroesophageal Reflux Disease
Sravani Kommuru, Faith Adekunle, Santiago Niño, et al.
Cureus (2024)
Open Access
Sravani Kommuru, Faith Adekunle, Santiago Niño, et al.
Cureus (2024)
Open Access
Uncertainty-aware network for fine-grained and imbalanced reflux esophagitis grading
Xingcun Li, Qinghua Wu, Mi Wang, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107751-107751
Closed Access | Times Cited: 1
Xingcun Li, Qinghua Wu, Mi Wang, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107751-107751
Closed Access | Times Cited: 1
Multi-Class Gastroesophageal Reflux Disease Classification System Using Deep Learning Techniques
In Neng Chan, Tang Wong, Pak Kin Wong, et al.
(2023), pp. 223-229
Closed Access
In Neng Chan, Tang Wong, Pak Kin Wong, et al.
(2023), pp. 223-229
Closed Access