| Artificial intelligence in precision cardiovascular medicine C Krittanawong, HJ Zhang, Z Wang, M Aydar, T Kitai Journal of the American College of Cardiology 69 (21), 2657-2664, 2017 | 952 | 2017 |
| Deep learning for cardiovascular medicine: a practical primer C Krittanawong, KW Johnson, RS Rosenson, Z Wang, M Aydar, U Baber, ... European heart journal 40 (25), 2058-2073, 2019 | 286 | 2019 |
| Integrating blockchain technology with artificial intelligence for cardiovascular medicine C Krittanawong, AJ Rogers, M Aydar, E Choi, KW Johnson, Z Wang, ... Nature Reviews Cardiology 17 (1), 1-3, 2020 | 85 | 2020 |
| Private key encryption and recovery in blockchain M Aydar, SC Cetin, S Ayvaz, B Aygun arXiv preprint arXiv:1907.04156, 2019 | 50 | 2019 |
| Machine learning and deep learning to predict mortality in patients with spontaneous coronary artery dissection C Krittanawong, HUH Virk, A Kumar, M Aydar, Z Wang, MP Stewart, ... Scientific reports 11 (1), 8992, 2021 | 43 | 2021 |
| Towards a Blockchain based digital identity verification, record attestation and record sharing system M Aydar, S Ayvaz, SC Cetin arXiv preprint arXiv:1906.09791, 2019 | 34 | 2019 |
| Deep Learning with Unsupervised Feature in Echocardiographic Imaging C Krittanawong, A Tunhasiriwet, HJ Zhang, Z Wang, M Aydar, T Kitai Journal of the American College of Cardiology, 0 | 34* | |
| Pokémon Go: Digital Health Interventions to Reduce Cardiovascular Risk C Krittanawong, M Aydar, T Kitai Cardiology In The Young, 2017 | 32 | 2017 |
| Artificial intelligence-powered blockchains for cardiovascular medicine C Krittanawong, M Aydar, HUH Virk, A Kumar, S Kaplin, L Guimaraes, ... Canadian Journal of Cardiology 38 (2), 185-195, 2022 | 26 | 2022 |
| Crowdfunding for cardiovascular research C Krittanawong, HJJ Zhang, M Aydar, Z Wang, T Sun International journal of cardiology 250, 268-269, 2018 | 19 | 2018 |
| Using artificial intelligence to manage thrombosis research, diagnosis, and clinical management A Mishra, MZ Ashraf Seminars in thrombosis and hemostasis 46 (04), 410-418, 2020 | 16 | 2020 |
| An improved method of locality-sensitive hashing for scalable instance matching M Aydar, S Ayvaz Knowledge and Information Systems 58, 275-294, 2019 | 13 | 2019 |
| Automatic Weight Generation and Class Predicate Stability in RDF Summary Graphs. M Aydar, S Ayvaz, A Melton IESD@ ISWC, 2015 | 11 | 2015 |
| Blokzincir Teknolojisinin Sağlık Bilgi Sistemlerinde Kullanımı M Aydar, S Çetin Avrupa Bilim ve Teknoloji Dergisi, 533-538, 2020 | 10 | 2020 |
| Building summary graphs of rdf data in semantic web S Ayvaz, M Aydar, A Melton 2015 IEEE 39th Annual Computer Software and Applications Conference 2, 686-691, 2015 | 9 | 2015 |
| Association between short and long sleep duration and cardiovascular outcomes? A systematic review and meta-analysis C Krittanawong, A Tunhasiriwet, Z Wang, H Zhang, LJ Prokop, ... Journal of the American College of Cardiology 69 (11S), 1798-1798, 2017 | 6 | 2017 |
| Using RDF Summary Graph for Keyword Based Semantic Searches S Ayvaz, M Aydar 5th International Conference on Advanced Technology & Sciences (ICAT17), 2017 | 4 | 2017 |
| Sitagliptin and risk of heart failure in patients with type 2 diabetes: a meta-analysis C Krittanawong, T Kitai, M Aydar, T Sun JACC: Heart Failure 4 (11), 910-910, 2016 | 4 | 2016 |
| Blokzincir Protokolleri Üzerine Örnek Kodlar Yardımıyla Genel bir İnceleme SC Çetin, M Aydar IV. INSAC International Natural and Engineering Sciences Congress, 131 - 142, 2019 | 3 | 2019 |
| RinsMatch: a suggestion-based instance matching system in RDF Graphs. M Aydar, A Melton OM, 224-225, 2015 | 3 | 2015 |
Chayakrit Krittanawong, MD, FACCMayo Clinic, Cleveland Clinic, Mount Sinai, BaylorVerified email at mayo.edu
