Zobrazeno 1 - 10
of 808
pro vyhledávání: '"Venkatesh Bharath"'
Autor:
Schiros Chun, Desai Ravi V, Venkatesh Bharath, Ahmed Mustafa, Agarwal Shilpi, Lloyd Steven, Calhoun David, McGiffin David, Denney Thomas S, Dell'Italia Louis J, Gupta Himanshu
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 15, Iss Suppl 1, p O28 (2013)
Externí odkaz:
https://doaj.org/article/f39848724cb946aeae7128654f6ab56e
Autor:
Venkatesh Bharath, Armstrong Anderson C, Donekal Sirisha, Liu Yuan, Liu Chia-Ying, Yoneyama Kihei, Wu Colin O, Nacif Marcelo, Gomes Antoinette S, Hundley W, Bluemke David A, Lima Joao A
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 15, Iss Suppl 1, p O82 (2013)
Externí odkaz:
https://doaj.org/article/349f05162c1a4048902f0b9e788083b5
Autor:
Venkatesh Bharath, Armstrong Anderson C, Liu Chia-Ying, Almeida Andre, Choi Eui-Young, Rosen Boaz D, Nacif Marcelo, Wu Colin O, Bluemke David A, Lima Joao A
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 15, Iss Suppl 1, p E75 (2013)
Externí odkaz:
https://doaj.org/article/c01a5fa43a9644ed928ae366fe9f1967
Autor:
Rizzi Patricia B, Nacif Marcelo, Volpe Gustavo J, Turkbey Evrim B, Venkatesh Bharath, van der Geest Rob J, Bluemke David A, Lima Joao A
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 15, Iss Suppl 1, p O49 (2013)
Externí odkaz:
https://doaj.org/article/70cff3718ca84e03bbecd6783aca0e35
Autor:
Imai Masamichi, Venkatesh Bharath, Samiei Sanaz, Habibi Mohammadali, Armstrong Anderson C, Heckbert Susan, Donekal Sirisha, Bluemke David A, Wu Colin O, Lima Joao A
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 15, Iss Suppl 1, p P266 (2013)
Externí odkaz:
https://doaj.org/article/7f8868934c014d09a9f2d6d7eddc1e1d
Autor:
Suinesiaputra, Avan, Mauger, Charlene A, Ambale-Venkatesh, Bharath, Bluemke, David A, Gade, Josefine Dam, Gilbert, Kathleen, Janse, Mark, Hald, Line Sofie, Werkhoven, Conrad, Wu, Colin, Lima, Joao A, Young, Alistair A
The shape and motion of the heart provide essential clues to understanding the mechanisms of cardiovascular disease. With the advent of large-scale cardiac imaging data, statistical atlases become a powerful tool to provide automated and precise quan
Externí odkaz:
http://arxiv.org/abs/2110.15144
Autor:
Hughes, Timothy M., Tanley, Jordan, Chen, Haiying, Schaich, Christopher L., Yeboah, Joseph, Espeland, Mark A., Lima, Joao A.C., Ambale-Venkatesh, Bharath, Michos, Erin D., Ding, Jingzhong, Hayden, Kathleen, Casanova, Ramon, Craft, Suzanne, Rapp, Stephen R., Luchsinger, José A., Fitzpatrick, Annette L., Heckbert, Susan R., Post, Wendy S., Burke, Gregory L.
Publikováno v:
In Atherosclerosis May 2024 392
Autor:
Jani, Vivek P., Kachenoura, Nadjia, Redheuil, Alban, Teixido-Tura, Gisela, Bouaou, Kevin, Bollache, Emilie, Mousseaux, Elie, De Cesare, Alain, Kutty, Shelby, Wu, Colin O., Bluemke, David A., Lima, Joao A. C., Ambale-Venkatesh, Bharath
This study applies convolutional neural network (CNN)-based automatic segmentation and distensibility measurement of the ascending and descending aorta from 2D phase-contrast cine magnetic resonance imaging (PC-cine MRI) within the large MESA cohort
Externí odkaz:
http://arxiv.org/abs/2103.02417
Highly regulated domains such as finance have long favoured the use of machine learning algorithms that are scalable, transparent, robust and yield better performance. One of the most prominent examples of such an algorithm is XGBoost. Meanwhile, the
Externí odkaz:
http://arxiv.org/abs/2009.01442
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