Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Robert J H Miller"'
Autor:
Robert J H Miller, Shahriar Heidary, Aleksandra Pavlovic, Audrey Schlachter, Rajesh Dash, Dominik Fleischmann, Euan A Ashley, Matthew T Wheeler, Phillip C Yang
Publikováno v:
PLoS ONE, Vol 14, Iss 6, p e0217612 (2019)
PurposeHCM is the most common inherited cardiomyopathy. Historically, there has been poor correlation between genotype and phenotype. However, CMR has the potential to more accurately assess disease phenotype. We characterized phenotype with CMR in a
Externí odkaz:
https://doaj.org/article/24842e109bf643f6982bec2e2cebcf52
Autor:
Robert J. H. Miller, Aditya Killekar, Aakash Shanbhag, Bryan Bednarski, Anna M. Michalowska, Terrence D. Ruddy, Andrew J. Einstein, David E. Newby, Mark Lemley, Konrad Pieszko, Serge D. Van Kriekinge, Paul B. Kavanagh, Joanna X. Liang, Cathleen Huang, Damini Dey, Daniel S. Berman, Piotr J. Slomka
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract Chest computed tomography is one of the most common diagnostic tests, with 15 million scans performed annually in the United States. Coronary calcium can be visualized on these scans, but other measures of cardiac risk such as atrial and ven
Externí odkaz:
https://doaj.org/article/4c588a8fbc88488b95dfaa67b3daf6af
Autor:
Robert J. H. Miller, Aakash Shanbhag, Aditya Killekar, Mark Lemley, Bryan Bednarski, Serge D. Van Kriekinge, Paul B. Kavanagh, Attila Feher, Edward J. Miller, Andrew J. Einstein, Terrence D. Ruddy, Joanna X. Liang, Valerie Builoff, Daniel S. Berman, Damini Dey, Piotr J. Slomka
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-8 (2024)
Abstract Epicardial adipose tissue (EAT) volume and attenuation are associated with cardiovascular risk, but manual annotation is time-consuming. We evaluated whether automated deep learning-based EAT measurements from ungated computed tomography (CT
Externí odkaz:
https://doaj.org/article/558eb0d07d94420d84354e6549401d24
Autor:
Michela Venturini, Fateme Nateghi Haredasht, Frantisek Sabovcik, Robert J. H. Miller, Tatiana Kuznetsova, Celine Vens
Publikováno v:
IEEE Access, Vol 12, Pp 89754-89762 (2024)
Heart transplantation is a life-saving procedure for children affected by end-stage heart failure. However, despite recent improvements in long-term outcomes, 1-year post-transplantation mortality has remained relatively high. Accurate prediction of
Externí odkaz:
https://doaj.org/article/7539fd68637149e0a05d4fb4be5fe21c
Autor:
Robert J. H. Miller, Heidi Gransar, Alan Rozanski, Damini Dey, Mouaz Al‐Mallah, Benjamin J. W. Chow, Philipp A. Kaufmann, Filippo Cademartiri, Erica Maffei, Donghee Han, Piotr J. Slomka, Daniel S. Berman
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 12, Iss 24 (2023)
Background The Diamond‐Forrester model was used extensively to predict obstructive coronary artery disease (CAD) but overestimates probability in current populations. Coronary artery calcium (CAC) is a useful marker of CAD, which is not routinely i
Externí odkaz:
https://doaj.org/article/30cea945fa884a53aef0bdc3f55a0d07
Autor:
Konrad Pieszko, Aakash D. Shanbhag, Ananya Singh, M. Timothy Hauser, Robert J. H. Miller, Joanna X. Liang, Manish Motwani, Jacek Kwieciński, Tali Sharir, Andrew J. Einstein, Mathews B. Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo Di Carli, Daniel S. Berman, Damini Dey, Piotr J. Slomka
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-11 (2023)
Abstract Standard clinical interpretation of myocardial perfusion imaging (MPI) has proven prognostic value for predicting major adverse cardiovascular events (MACE). However, personalizing predictions to a specific event type and time interval is mo
Externí odkaz:
https://doaj.org/article/75978cd7a5ab4ab0a242e50b065ae7c0
Publikováno v:
BMC Cardiovascular Disorders, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background Transthyretin amyloidosis cardiomyopathy (ATTR-CM) patients are often older and may be at risk for obstructive epicardial coronary artery disease (oeCAD). While ATTR-CM may cause small vessel coronary disease, the prevalence and c
Externí odkaz:
https://doaj.org/article/bb87b0549539467b8d45ab251269e0c9
Autor:
Hongwei Liu, Reid Collins, Robert J. H. Miller, Danielle A. Southern, Ross Arena, Sandeep Aggarwal, Tolulope Sajobi, Matthew T. James, Stephen B. Wilton
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 10, Iss 7 (2021)
Background Administrative data have limited sensitivity for case finding of atrial fibrillation/atrial flutter (AF/AFL). Linkage with clinical repositories of interpreted ECGs may enhance diagnostic yield of AF/AFL. Methods and Results We retrieved 3
Externí odkaz:
https://doaj.org/article/8cb9e65e53f1431c88daba1552b2fcd3
Autor:
Myriam Amsallem, Ryan J. Tedford, Andre Denault, Andrew J. Sweatt, Julien Guihaire, Kristofer Hedman, Shadi Peighambari, Juyong Brian Kim, Xiao Li, Robert J. H. Miller, Olaf Mercier, Elie Fadel, Roham Zamanian, Francois Haddad
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 9, Iss 11 (2020)
Background The strong linear relation between mean (MPAP) and systolic (SPAP) pulmonary arterial pressure (eg, SPAP=1.62×MPAP) has been mainly reported in precapillary pulmonary hypertension. This study sought to quantify the influence of pulmonary
Externí odkaz:
https://doaj.org/article/ece51e2174254c42958aca29b03731e8
Autor:
Robert J. H. Miller, Ananya Singh, Yuka Otaki, Balaji K. Tamarappoo, Paul Kavanagh, Tejas Parekh, Lien-Hsin Hu, Heidi Gransar, Tali Sharir, Andrew J. Einstein, Mathews B. Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo F. Di Carli, Joanna X. Liang, Damini Dey, Daniel S. Berman, Piotr J. Slomka
Publikováno v:
Eur J Nucl Med Mol Imaging
PURPOSE: Artificial intelligence (AI) has high diagnostic accuracy for coronary artery disease (CAD) from myocardial perfusion imaging (MPI). However, when trained using high-risk populations (such as patients with correlating invasive testing), the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96b00df91da9216c0f0bcad4613846d9
https://doi.org/10.1007/s00259-022-05972-w
https://doi.org/10.1007/s00259-022-05972-w