
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:
Image-Based Cardiac Diagnosis With Machine Learning: A Review
Carlos Martín-Isla, Víctor M. Campello, Cristian Izquierdo, et al.
Frontiers in Cardiovascular Medicine (2020) Vol. 7
Open Access | Times Cited: 211
Carlos Martín-Isla, Víctor M. Campello, Cristian Izquierdo, et al.
Frontiers in Cardiovascular Medicine (2020) Vol. 7
Open Access | Times Cited: 211
Showing 1-25 of 211 citing articles:
Artificial Intelligence (AI) and Internet of Medical Things (IoMT) Assisted Biomedical Systems for Intelligent Healthcare
Pandiaraj Manickam, Siva Ananth Mariappan, Sindhu Monica Murugesan, et al.
Biosensors (2022) Vol. 12, Iss. 8, pp. 562-562
Open Access | Times Cited: 356
Pandiaraj Manickam, Siva Ananth Mariappan, Sindhu Monica Murugesan, et al.
Biosensors (2022) Vol. 12, Iss. 8, pp. 562-562
Open Access | Times Cited: 356
Advanced glycation end products (AGEs) and other adducts in aging-related diseases and alcohol-mediated tissue injury
Wiramon Rungratanawanich, Ying Qu, Xin Wang, et al.
Experimental & Molecular Medicine (2021) Vol. 53, Iss. 2, pp. 168-188
Open Access | Times Cited: 244
Wiramon Rungratanawanich, Ying Qu, Xin Wang, et al.
Experimental & Molecular Medicine (2021) Vol. 53, Iss. 2, pp. 168-188
Open Access | Times Cited: 244
Has the Future Started? The Current Growth of Artificial Intelligence, Machine Learning, and Deep Learning
Iraqi Journal for Computer Science and Mathematics (2022), pp. 115-123
Open Access | Times Cited: 199
Iraqi Journal for Computer Science and Mathematics (2022), pp. 115-123
Open Access | Times Cited: 199
An Integrated Machine Learning Framework for Effective Prediction of Cardiovascular Diseases
Aqsa Rahim, Yawar Rasheed, Farooque Azam, et al.
IEEE Access (2021) Vol. 9, pp. 106575-106588
Open Access | Times Cited: 107
Aqsa Rahim, Yawar Rasheed, Farooque Azam, et al.
IEEE Access (2021) Vol. 9, pp. 106575-106588
Open Access | Times Cited: 107
Obesity-induced inflammation exacerbates clonal hematopoiesis
Santhosh Kumar Pasupuleti, Baskar Ramdas, Sarah S. Burns, et al.
Journal of Clinical Investigation (2023) Vol. 133, Iss. 11
Open Access | Times Cited: 55
Santhosh Kumar Pasupuleti, Baskar Ramdas, Sarah S. Burns, et al.
Journal of Clinical Investigation (2023) Vol. 133, Iss. 11
Open Access | Times Cited: 55
Artificial Intelligence for Automatic Measurement of Left Ventricular Strain in Echocardiography
Ivar Mjåland Salte, Andreas Østvik, Erik Smistad, et al.
JACC. Cardiovascular imaging (2021) Vol. 14, Iss. 10, pp. 1918-1928
Open Access | Times Cited: 94
Ivar Mjåland Salte, Andreas Østvik, Erik Smistad, et al.
JACC. Cardiovascular imaging (2021) Vol. 14, Iss. 10, pp. 1918-1928
Open Access | Times Cited: 94
Artificial intelligence in the diagnosis and management of arrhythmias
Venkat D. Nagarajan, Lee Su-Lin, Jan‐Lukas Robertus, et al.
European Heart Journal (2021) Vol. 42, Iss. 38, pp. 3904-3916
Open Access | Times Cited: 87
Venkat D. Nagarajan, Lee Su-Lin, Jan‐Lukas Robertus, et al.
European Heart Journal (2021) Vol. 42, Iss. 38, pp. 3904-3916
Open Access | Times Cited: 87
Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance
Silvia Romiti, Mattia Vinciguerra, Wael Saade, et al.
Cardiology Research and Practice (2020) Vol. 2020, pp. 1-8
Open Access | Times Cited: 83
Silvia Romiti, Mattia Vinciguerra, Wael Saade, et al.
Cardiology Research and Practice (2020) Vol. 2020, pp. 1-8
Open Access | Times Cited: 83
Biofabrication of small diameter tissue-engineered vascular grafts
Angus Weekes, Nicole Bartnikowski, Nigel Pinto, et al.
Acta Biomaterialia (2021) Vol. 138, pp. 92-111
Closed Access | Times Cited: 78
Angus Weekes, Nicole Bartnikowski, Nigel Pinto, et al.
Acta Biomaterialia (2021) Vol. 138, pp. 92-111
Closed Access | Times Cited: 78
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge
Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 12, pp. 3543-3554
Open Access | Times Cited: 74
Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 12, pp. 3543-3554
Open Access | Times Cited: 74
Federated learning for multi-center imaging diagnostics: a simulation study in cardiovascular disease
Akis Linardos, Kaisar Kushibar, Seán Walsh, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 63
Akis Linardos, Kaisar Kushibar, Seán Walsh, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 63
Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey
Aneeqa Ijaz, Muhammad Nabeel, Usama Masood, et al.
Informatics in Medicine Unlocked (2022) Vol. 29, pp. 100832-100832
Open Access | Times Cited: 57
Aneeqa Ijaz, Muhammad Nabeel, Usama Masood, et al.
Informatics in Medicine Unlocked (2022) Vol. 29, pp. 100832-100832
Open Access | Times Cited: 57
An Early Prediction of Tumor in Heart by Cardiac Masses Classification in Echocardiogram Images Using Robust Back Propagation Neural Network Classifier
A. Manikandan, M. Ponni Bala
Brazilian Archives of Biology and Technology (2022) Vol. 65
Open Access | Times Cited: 55
A. Manikandan, M. Ponni Bala
Brazilian Archives of Biology and Technology (2022) Vol. 65
Open Access | Times Cited: 55
Machine Learning Techniques in Adaptive and Personalized Systems for Health and Wellness
Oladapo Oyebode, Jonathon R. Fowles, Darren Steeves, et al.
International Journal of Human-Computer Interaction (2022) Vol. 39, Iss. 9, pp. 1938-1962
Open Access | Times Cited: 53
Oladapo Oyebode, Jonathon R. Fowles, Darren Steeves, et al.
International Journal of Human-Computer Interaction (2022) Vol. 39, Iss. 9, pp. 1938-1962
Open Access | Times Cited: 53
Hemodynamic Modeling, Medical Imaging, and Machine Learning and Their Applications to Cardiovascular Interventions
Mason Kadem, Louis Garber, Mohamed Abdelkhalek, et al.
IEEE Reviews in Biomedical Engineering (2022) Vol. 16, pp. 403-423
Closed Access | Times Cited: 44
Mason Kadem, Louis Garber, Mohamed Abdelkhalek, et al.
IEEE Reviews in Biomedical Engineering (2022) Vol. 16, pp. 403-423
Closed Access | Times Cited: 44
Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries
Carla Sendra-Balcells, Víctor M. Campello, Jordina Torrents‐Barrena, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 25
Carla Sendra-Balcells, Víctor M. Campello, Jordina Torrents‐Barrena, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 25
medigan: a Python library of pretrained generative models for medical image synthesis
Richard Osuala, Grzegorz Skorupko, Noussair Lazrak, et al.
Journal of Medical Imaging (2023) Vol. 10, Iss. 06
Open Access | Times Cited: 25
Richard Osuala, Grzegorz Skorupko, Noussair Lazrak, et al.
Journal of Medical Imaging (2023) Vol. 10, Iss. 06
Open Access | Times Cited: 25
Shallow and deep learning classifiers in medical image analysis
Francesco Prinzi, Tiziana Currieri, Salvatore Gaglio, et al.
European Radiology Experimental (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 10
Francesco Prinzi, Tiziana Currieri, Salvatore Gaglio, et al.
European Radiology Experimental (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 10
Applications of machine learning and deep learning in medical diagnosis
Shailendra Chouhan, Hemant Khambete, Sanjay Jain
Elsevier eBooks (2025), pp. 47-82
Closed Access | Times Cited: 1
Shailendra Chouhan, Hemant Khambete, Sanjay Jain
Elsevier eBooks (2025), pp. 47-82
Closed Access | Times Cited: 1
Democratizing AI in Africa: Federated Learning for Low-Resource Edge Devices
Jorge Fabila, Víctor M. Campello, Carlos Martín-Isla, et al.
Communications in computer and information science (2025), pp. 101-109
Closed Access | Times Cited: 1
Jorge Fabila, Víctor M. Campello, Carlos Martín-Isla, et al.
Communications in computer and information science (2025), pp. 101-109
Closed Access | Times Cited: 1
Endothelial sprouting, proliferation, or senescence: tipping the balance from physiology to pathology
Severin Mühleder, Macarena Fernández-Chacón, Irene García-González, et al.
Cellular and Molecular Life Sciences (2020) Vol. 78, Iss. 4, pp. 1329-1354
Open Access | Times Cited: 62
Severin Mühleder, Macarena Fernández-Chacón, Irene García-González, et al.
Cellular and Molecular Life Sciences (2020) Vol. 78, Iss. 4, pp. 1329-1354
Open Access | Times Cited: 62
Deep learning to diagnose cardiac amyloidosis from cardiovascular magnetic resonance
Nicola Martini, Alberto Aimo, Andrea Barison, et al.
Journal of Cardiovascular Magnetic Resonance (2020) Vol. 22, Iss. 1, pp. 84-84
Open Access | Times Cited: 54
Nicola Martini, Alberto Aimo, Andrea Barison, et al.
Journal of Cardiovascular Magnetic Resonance (2020) Vol. 22, Iss. 1, pp. 84-84
Open Access | Times Cited: 54
Concurrent diabetes and heart failure: interplay and novel therapeutic approaches
Qutuba G. Karwi, Kim L. Ho, Simran Pherwani, et al.
Cardiovascular Research (2021) Vol. 118, Iss. 3, pp. 686-715
Open Access | Times Cited: 54
Qutuba G. Karwi, Kim L. Ho, Simran Pherwani, et al.
Cardiovascular Research (2021) Vol. 118, Iss. 3, pp. 686-715
Open Access | Times Cited: 54
Radiomics Signatures of Cardiovascular Risk Factors in Cardiac MRI: Results From the UK Biobank
Irem Cetin, Zahra Raisi‐Estabragh, Steffen E. Petersen, et al.
Frontiers in Cardiovascular Medicine (2020) Vol. 7
Open Access | Times Cited: 50
Irem Cetin, Zahra Raisi‐Estabragh, Steffen E. Petersen, et al.
Frontiers in Cardiovascular Medicine (2020) Vol. 7
Open Access | Times Cited: 50
The association between triglyceride-glucose index and the incidence of type 2 diabetes mellitus—a systematic review and dose–response meta-analysis of cohort studies
Raymond Pranata, Ian Huang, Irvan Irvan, et al.
Endocrine (2021) Vol. 74, Iss. 2, pp. 254-262
Closed Access | Times Cited: 46
Raymond Pranata, Ian Huang, Irvan Irvan, et al.
Endocrine (2021) Vol. 74, Iss. 2, pp. 254-262
Closed Access | Times Cited: 46