
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:
Development of an artificial intelligence-based method for the diagnosis of the severity of myxomatous mitral valve disease from canine chest radiographs
Carlotta Valente, Marek Wodziński, Carlo Guglielmini, et al.
Frontiers in Veterinary Science (2023) Vol. 10
Open Access | Times Cited: 5
Carlotta Valente, Marek Wodziński, Carlo Guglielmini, et al.
Frontiers in Veterinary Science (2023) Vol. 10
Open Access | Times Cited: 5
Showing 5 citing articles:
Vertebral Heart Score and Vertebral Left Atrial Size as Radiographic Measurements for Cardiac Size in Dogs—A Literature Review
Radu Andrei Baisan, Vasile Vulpe
Animals (2025) Vol. 15, Iss. 5, pp. 683-683
Open Access
Radu Andrei Baisan, Vasile Vulpe
Animals (2025) Vol. 15, Iss. 5, pp. 683-683
Open Access
Artificial intelligence in veterinary diagnostic imaging: Perspectives and limitations
Silvia Burti, Tommaso Banzato, Simon Coghlan, et al.
Research in Veterinary Science (2024) Vol. 175, pp. 105317-105317
Open Access | Times Cited: 4
Silvia Burti, Tommaso Banzato, Simon Coghlan, et al.
Research in Veterinary Science (2024) Vol. 175, pp. 105317-105317
Open Access | Times Cited: 4
Convolutional Neural Network-Based ECG Signal Classification Model: A Study on Addressing Class Imbalance and Enhancing Model Interpretability
Guanjun Wang, Shuwen Zheng, Xuejun Yang, et al.
(2024)
Open Access | Times Cited: 1
Guanjun Wang, Shuwen Zheng, Xuejun Yang, et al.
(2024)
Open Access | Times Cited: 1
Development of an artificial intelligence-based algorithm for predicting the severity of myxomatous mitral valve disease from thoracic radiographs by using two grading systems
Carlotta Valente, Marek Wodziński, Carlo Guglielmini, et al.
Research in Veterinary Science (2024) Vol. 178, pp. 105377-105377
Open Access | Times Cited: 1
Carlotta Valente, Marek Wodziński, Carlo Guglielmini, et al.
Research in Veterinary Science (2024) Vol. 178, pp. 105377-105377
Open Access | Times Cited: 1
Machine Learning Techniques for Canine Myxomatous Mitral Valve Disease Classification: Integrating Anamnesis, Quality of Life Survey, and Physical Examination
Javier Engel‐Manchado, José Alberto Montoya-Alonso, Luis Doménech, et al.
Veterinary Sciences (2024) Vol. 11, Iss. 3, pp. 118-118
Open Access | Times Cited: 1
Javier Engel‐Manchado, José Alberto Montoya-Alonso, Luis Doménech, et al.
Veterinary Sciences (2024) Vol. 11, Iss. 3, pp. 118-118
Open Access | Times Cited: 1