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3D Transesophageal Echocardiography for Guiding Transcatheter Aortic Valve Replacement Without Prior Cardiac Computed Tomography in Patients With Renal Dysfunction.
Hana D, Miller T, Skaff P, Seetharam K, Suleiman S, Raybuck B, Kawsara A, Wei L, Roberts H, Cook C, Badhwar V, Daggubati R, Mills J, Sengupta P, Hamirani Y. Hana D, et al. Among authors: hamirani y. Cardiovasc Revasc Med. 2022 Aug;41:63-68. doi: 10.1016/j.carrev.2021.12.026. Epub 2022 Jan 13. Cardiovasc Revasc Med. 2022. PMID: 35039228
A Machine-Learning Framework to Identify Distinct Phenotypes of Aortic Stenosis Severity.
Sengupta PP, Shrestha S, Kagiyama N, Hamirani Y, Kulkarni H, Yanamala N, Bing R, Chin CWL, Pawade TA, Messika-Zeitoun D, Tastet L, Shen M, Newby DE, Clavel MA, Pibarot P, Dweck MR; Artificial Intelligence for Aortic Stenosis at Risk International Consortium. Sengupta PP, et al. Among authors: hamirani y. JACC Cardiovasc Imaging. 2021 Sep;14(9):1707-1720. doi: 10.1016/j.jcmg.2021.03.020. Epub 2021 May 19. JACC Cardiovasc Imaging. 2021. PMID: 34023273 Free PMC article.
Cardiac Computed Tomography Angiography for Device-Related Thrombus Assessment After WATCHMAN FLX™ Occluder Device Implantation: A Single-Center Retrospective Observational Study.
Miller T, Hana D, Patibandla S, Guzman DB, Avalon JC, Zeb I, Kadiyala M, Mills J, Balla S, Kim C, Lisle M, Kawsara M, Raybuck B, Daggubati R, Sengupta PP, Hamirani YS. Miller T, et al. Cardiovasc Revasc Med. 2022 Aug;41:35-46. doi: 10.1016/j.carrev.2022.01.028. Epub 2022 Feb 3. Cardiovasc Revasc Med. 2022. PMID: 35140053 Review.
Quantitative single photon emission computed tomography derived standardized uptake values on 99mTc-PYP scan in patients with suspected ATTR cardiac amyloidosis.
Avalon JC, Fuqua J, Deskins S, Miller T, Conte J, Martin D, Marano G, Yanamala N, Mills J, Bianco C, Patel B, Seetharam K, Raylman R, Sengupta PP, Hamirani YS. Avalon JC, et al. J Nucl Cardiol. 2023 Feb;30(1):127-139. doi: 10.1007/s12350-022-02988-5. Epub 2022 Jun 2. J Nucl Cardiol. 2023. PMID: 35655113
Applications of Machine Learning in Cardiology.
Seetharam K, Balla S, Bianco C, Cheung J, Pachulski R, Asti D, Nalluri N, Tejpal A, Mir P, Shah J, Bhat P, Mir T, Hamirani Y. Seetharam K, et al. Among authors: hamirani y. Cardiol Ther. 2022 Sep;11(3):355-368. doi: 10.1007/s40119-022-00273-7. Epub 2022 Jul 12. Cardiol Ther. 2022. PMID: 35829916 Free PMC article. Review.
70 results