Zobrazeno 1 - 10
of 12
pro vyhledávání: '"David H. Liang"'
Autor:
Amirata Ghorbani, David Ouyang, Abubakar Abid, Bryan He, Jonathan H. Chen, Robert A. Harrington, David H. Liang, Euan A. Ashley, James Y. Zou
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-10 (2020)
Abstract Echocardiography uses ultrasound technology to capture high temporal and spatial resolution images of the heart and surrounding structures, and is the most common imaging modality in cardiovascular medicine. Using convolutional neural networ
Externí odkaz:
https://doaj.org/article/914a9b08ef9d49d596f7dc8d8a6c2fa6
Autor:
J Weston Hughes, Neal Yuan, Bryan He, Jiahong Ouyang, Joseph Ebinger, Patrick Botting, Jasper Lee, John Theurer, James E. Tooley, Koen Nieman, Matthew P. Lungren, David H. Liang, Ingela Schnittger, Jonathan H. Chen, Euan A. Ashley, Susan Cheng, David Ouyang, James Y. Zou
Publikováno v:
EBioMedicine, Vol 73, Iss , Pp 103613- (2021)
Background: Laboratory testing is routinely used to assay blood biomarkers to provide information on physiologic state beyond what clinicians can evaluate from interpreting medical imaging. We hypothesized that deep learning interpretation of echocar
Externí odkaz:
https://doaj.org/article/d63c1ebdec3940da9957bade5fd02847
Autor:
Mitsuhiro Akiyama, Shozo Ohtsuki, Gerald J. Berry, David H. Liang, Jörg J. Goronzy, Cornelia M. Weyand
Publikováno v:
Frontiers in Immunology, Vol 11 (2021)
Autoimmune diseases can afflict every organ system, including blood vessels that are critically important for host survival. The most frequent autoimmune vasculitis is giant cell arteritis (GCA), which causes aggressive wall inflammation in medium an
Externí odkaz:
https://doaj.org/article/f136914fbfff452a832614a824841226
Publikováno v:
Frontiers in Immunology, Vol 11 (2020)
Autoimmune and autoinflammatory diseases of the medium and large arteries, including the aorta, cause life-threatening complications due to vessel wall destruction but also by wall remodeling, such as the formation of wall-penetrating microvessels an
Externí odkaz:
https://doaj.org/article/c28c5f99c63e4a42bb4d0b8c647a0e49
Autor:
Matthew D, Solomon, Thomas, Leong, Sue Hee, Sung, Catherine, Lee, J Geoff, Allen, Joseph, Huh, Paul, LaPunzina, Hon, Lee, Duncan, Mason, Vicken, Melikian, Daniel, Pellegrini, David, Scoville, Ahmad Y, Sheikh, Dorinna, Mendoza, Sahar, Naderi, Ann, Sheridan, Xinge, Hu, Wendy, Cirimele, Anne, Gisslow, Sandy, Leung, Kristine, Padilla, Michael, Bloom, Josh, Chung, Adrienne, Topic, Paniz, Vafaei, Robert, Chang, D Craig, Miller, David H, Liang, Alan S, Go, Honora, Hui
Publikováno v:
JAMA cardiology. 7(11)
The risk of adverse events from ascending thoracic aorta aneurysm (TAA) is poorly understood but drives clinical decision-making.To evaluate the association of TAA size with outcomes in nonsyndromic patients in a large non-referral-based health care
Autor:
Gregory J. Wong, Arjun V. Pendharkar, Kyle A. Lyman, Prateek Thatikunta, Lironn D. Kraler, Christina Mijalski, David H. Liang, Robert L. Dodd
Publikováno v:
Stroke.
Publikováno v:
Vascular Medicine. :1358863X2311706
Autor:
Grant Duffy, Paul P. Cheng, Neal Yuan, Bryan He, Alan C. Kwan, Matthew J. Shun-Shin, Kevin M. Alexander, Joseph Ebinger, Matthew P. Lungren, Florian Rader, David H. Liang, Ingela Schnittger, Euan A. Ashley, James Y. Zou, Jignesh Patel, Ronald Witteles, Susan Cheng, David Ouyang
Publikováno v:
JAMA cardiology. 7(4)
Early detection and characterization of increased left ventricular (LV) wall thickness can markedly impact patient care but is limited by under-recognition of hypertrophy, measurement error and variability, and difficulty differentiating causes of in
Autor:
Matthew D. Solomon, Thomas Kiichi Leong, Catherine Lee, Amanda Allen, Sung Sue Hee, David H. Liang, Alan S. Go
Publikováno v:
Journal of the American College of Cardiology. 79:1804
Publikováno v:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 11(Pt 2)
We present a method for registering position and orientation data collected from an electroanatomic mapping system (EMS) to a surface mesh based on segmented Computed Tomography (CT) or Magnetic Resonance (MR) images of the left atrium. Our algorithm