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:
Cardiovascular disease/stroke risk stratification in deep learning framework: a review
Mrinalini Bhagawati, Sudip Paul, Sushant Agarwal, et al.
Cardiovascular Diagnosis and Therapy (2023) Vol. 12, Iss. 3, pp. 557-598
Open Access | Times Cited: 12
Mrinalini Bhagawati, Sudip Paul, Sushant Agarwal, et al.
Cardiovascular Diagnosis and Therapy (2023) Vol. 12, Iss. 3, pp. 557-598
Open Access | Times Cited: 12
Showing 12 citing articles:
Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review
Manasvi Singh, Ashish Kumar, Narendra N. Khanna, et al.
EClinicalMedicine (2024) Vol. 73, pp. 102660-102660
Open Access | Times Cited: 16
Manasvi Singh, Ashish Kumar, Narendra N. Khanna, et al.
EClinicalMedicine (2024) Vol. 73, pp. 102660-102660
Open Access | Times Cited: 16
Identifying cardiovascular abnormalities
Mrinalini Bhagawati, Sudip Paul
Elsevier eBooks (2025), pp. 227-244
Closed Access
Mrinalini Bhagawati, Sudip Paul
Elsevier eBooks (2025), pp. 227-244
Closed Access
Artificial Intelligence Method for Identifying Cardiovascular Disease Risk
Mrinalini Bhagawati, Sudip Paul
Lecture notes in networks and systems (2025), pp. 309-319
Closed Access
Mrinalini Bhagawati, Sudip Paul
Lecture notes in networks and systems (2025), pp. 309-319
Closed Access
Enhancing cardiovascular risk prediction: the role of wall viscoelasticity in machine learning models
Duc-Manh Dinh, Belilla Yonas Berfirdu, Kyehan Rhee
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-12
Closed Access
Duc-Manh Dinh, Belilla Yonas Berfirdu, Kyehan Rhee
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-12
Closed Access
UltraAIGenomics: Artificial Intelligence-Based Cardiovascular Disease Risk Assessment by Fusion of Ultrasound-Based Radiomics and Genomics Features for Preventive, Personalized and Precision Medicine: A Narrative Review
Luca Saba, Mahesh Maindarkar, Amer M. Johri, et al.
Reviews in Cardiovascular Medicine (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 4
Luca Saba, Mahesh Maindarkar, Amer M. Johri, et al.
Reviews in Cardiovascular Medicine (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 4
Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort
Mrinalini Bhagawati, Sudip Paul, Laura E. Mantella, et al.
The International Journal of Cardiovascular Imaging (2024) Vol. 40, Iss. 6, pp. 1283-1303
Closed Access | Times Cited: 3
Mrinalini Bhagawati, Sudip Paul, Laura E. Mantella, et al.
The International Journal of Cardiovascular Imaging (2024) Vol. 40, Iss. 6, pp. 1283-1303
Closed Access | Times Cited: 3
A Novel Approach for the Detection and Severity Grading of Chronic Obstructive Pulmonary Disease Based on Transformed Volumetric Capnography
Xiuying Mou, Peng Wang, Sun Jie, et al.
Bioengineering (2024) Vol. 11, Iss. 6, pp. 530-530
Open Access | Times Cited: 1
Xiuying Mou, Peng Wang, Sun Jie, et al.
Bioengineering (2024) Vol. 11, Iss. 6, pp. 530-530
Open Access | Times Cited: 1
Deep-learning-based 3D super-resolution CT radiomics model: Predict the possibility of the micropapillary/solid component of lung adenocarcinoma
Xiaowei Xing, Liangping Li, Mingxia Sun, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e34163-e34163
Open Access | Times Cited: 1
Xiaowei Xing, Liangping Li, Mingxia Sun, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e34163-e34163
Open Access | Times Cited: 1
The Role of AI in Enhancing Healthcare Access and Service Quality in Resource-Limited Settings
R Farhat, Ahmad Kamran Malik, Amir M. Sheikh, et al.
International Journal of Artificial Intelligence (2024) Vol. 11, Iss. 2, pp. 70-79
Open Access | Times Cited: 1
R Farhat, Ahmad Kamran Malik, Amir M. Sheikh, et al.
International Journal of Artificial Intelligence (2024) Vol. 11, Iss. 2, pp. 70-79
Open Access | Times Cited: 1
Generative Adversarial Network-based Deep Learning Framework for Cardiovascular Disease Risk Prediction
Mrinalini Bhagawati, Sudip Paul
(2024), pp. 1-4
Closed Access | Times Cited: 1
Mrinalini Bhagawati, Sudip Paul
(2024), pp. 1-4
Closed Access | Times Cited: 1
Stroke Risk Factor Prediction Using Machine Learning Techniques: A Systematic Review
Olusola Olabanjo, Ashiribo Senapon Wusu, Oseni Afisi, et al.
Journal of Applied Sciences (2024) Vol. 24, Iss. 1, pp. 1-15
Open Access
Olusola Olabanjo, Ashiribo Senapon Wusu, Oseni Afisi, et al.
Journal of Applied Sciences (2024) Vol. 24, Iss. 1, pp. 1-15
Open Access
An Artificial Intelligence-Based Non-Invasive Approach for Cardiovascular Disease Risk Stratification in Obstructive Sleep Apnea Patients: A Narrative Review
Luca Saba, Mahesh Maindarkar, Narendra N. Khanna, et al.
Reviews in Cardiovascular Medicine (2024) Vol. 25, Iss. 12
Open Access
Luca Saba, Mahesh Maindarkar, Narendra N. Khanna, et al.
Reviews in Cardiovascular Medicine (2024) Vol. 25, Iss. 12
Open Access
