Slomka, Piotr J.
Cedars-Sinai Medical Center
14 papers on CoChatORCID 0000-0002-6110-938X
Most cited papers
- Verified
Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis
Motwani, M., Dey, D., Berman, D. S., Germano, G., Achenbach, S., Al-Mallah, M. H., Andreini, D., Budoff, M. J., Cademartiri, F., Callister, T. Q., et al. (2016) · European Heart Journal
Cardiac Imaging and DiagnosticsArtificial Intelligence in Healthcare
Cited by 692
- Verified
Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging
Al’Aref, S. J., Anchouche, K., Singh, G., Slomka, P. J., Kolli, K. K., Kumar, A., Pandey, M., Maliakal, G., van Rosendael, A. R., Beecy, A. N., et al. (2019) · European Heart Journal
Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare
Cited by 534
- Verified
Contrast-enhanced computed tomography assessment of aortic stenosis
Cartlidge, T. R., Bing, R., Kwiecinski, J., Guzzetti, E., Pawade, T. A., Doris, M. K., Adamson, P. D., Massera, D., Lembo, M., Peeters, F. E. C. M., et al. (2021) · Heart
Cardiac Valve Diseases and TreatmentsCardiac Imaging and Diagnostics
Cited by 82
- Verified
Enhancing Cardiac PET by Motion Correction Techniques
Rubeaux, M., Doris, M. K., Alessio, A., & Slomka, P. J. (2017) · Current Cardiology Reports
Medical Imaging Techniques and ApplicationsCardiac Imaging and Diagnostics
Cited by 48
- Verified
Predicting mortality from AI cardiac volumes mass and coronary calcium on chest computed tomography
Miller, R. J. H., Killekar, A., Shanbhag, A., Bednarski, B., Michalowska, A. M., Ruddy, T. D., Einstein, A. J., Newby, D. E., Lemley, M., Pieszko, K., et al. (2024) · Nature Communications
Cardiac Imaging and DiagnosticsArtificial Intelligence in Healthcare and Education
Cited by 44
- Verified
Gating Approaches in Cardiac PET Imaging
Lassen, M. L., Kwiecinski, J., & Slomka, P. J. (2019) · PET Clinics
Cardiac Imaging and DiagnosticsMedical Imaging Techniques and Applications
Cited by 38
- Verified
Non-calcific aortic tissue quantified from computed tomography angiography improves diagnosis and prognostication of patients referred for transcatheter aortic valve implantation
Grodecki, K., Tamarappoo, B. K., Huczek, Z., Jedrzejczyk, S., Cadet, S., Kwiecinski, J., Rymuza, B., Parma, R., Olasinska-Wisniewska, A., Fijalkowska, J., et al. (2021) · European Heart Journal - Cardiovascular Imaging
Cardiac Valve Diseases and TreatmentsAortic Disease and Treatment Approaches
Cited by 38
- Verified
AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging
Miller, R. J. H., Shanbhag, A., Killekar, A., Lemley, M., Bednarski, B., Kavanagh, P. B., Feher, A., Miller, E. J., Bateman, T., Builoff, V., et al. (2024) · JACC: Cardiovascular Imaging
Cardiac Imaging and DiagnosticsArtificial Intelligence in Healthcare and Education
Cited by 33
- Verified
Quantitative Computed Tomography Angiography for the Evaluation of Valvular Fibrocalcific Volume in Aortic Stenosis
Lembo, M., Joshi, S. S., Geers, J., Bing, R., Carnevale, L., Pawade, T. A., Doris, M. K., Tzolos, E., Grodecki, K., Cadet, S., et al. (2024) · JACC: Cardiovascular Imaging
Cardiac Valve Diseases and TreatmentsCardiac Imaging and Diagnostics
Cited by 29
- Verified
Quantification of Aortic Valve Fibrotic and Calcific Tissue from CTA: Prospective Comparison with Histology
Grodecki, K., Olasińska-Wiśniewska, A., Cyran, A., Urbanowicz, T., Kwieciński, J., Geers, J., Tamarappoo, B. K., Perek, B., Gocoł, R., Nawara-Skipirzepa, J., et al. (2024) · Radiology
Cardiac Valve Diseases and TreatmentsCardiac Imaging and Diagnostics
Cited by 20
- Verified
AI for Multistructure Incidental Findings and Mortality Prediction at Chest CT in Lung Cancer Screening
Marcinkiewicz, A. M., Buchwald, M., Shanbhag, A., Bednarski, B. P., Killekar, A., Miller, R. J. H., Builoff, V., Lemley, M., Berman, D. S., Dey, D., et al. (2024) · Radiology
Radiomics and Machine Learning in Medical ImagingLung Cancer Diagnosis and Treatment
Cited by 20
- Verified
Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction
Marcinkiewicz, A. M., Zhang, W., Shanbhag, A., Miller, R. J. H., Lemley, M., Ramirez, G., Buchwald, M., Killekar, A., Kavanagh, P. B., Feher, A., et al. (2025) · npj Digital Medicine
Cardiac Imaging and DiagnosticsRadiomics and Machine Learning in Medical Imaging
Cited by 12
- Verified
Characterization of Aortic Valve Stenosis by CT Angiography in a Diverse US Cohort
Lorenzatti, D., Filtz, A., Pina, P., Geers, J., Gilman, J., Daich, J., Ippolito, P., Aftab, A., Schenone, A. L., Gongora, C. A., et al. (2025) · Circulation: Cardiovascular Imaging
Cardiac Valve Diseases and TreatmentsAortic Disease and Treatment Approaches
Cited by 7
- Verified
Automated proximal coronary artery calcium identification using artificial intelligence: advancing cardiovascular risk assessment
Zhou, J., Shanbhag, A. D., Han, D., Marcinkiewicz, A. M., Buchwald, M., Miller, R. J. H., Killekar, A., Manral, N., Grodecki, K., Geers, J., et al. (2025) · European Heart Journal - Cardiovascular Imaging
Cardiac Imaging and DiagnosticsArtificial Intelligence in Healthcare and Education
Cited by 6
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free