Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yi Grace Wang"'
Autor:
Amanda Chang, BS, Yi Grace Wang, PhD, Manju B. Jayanna, MD, Xiaodong Wu, PhD, Linda M. Cadaret, MD, Kan Liu, MD, PhD
Publikováno v:
Mayo Clinic Proceedings: Innovations, Quality & Outcomes, Vol 5, Iss 6, Pp 1050-1055 (2021)
We completed a systematic review of Takotsubo syndrome (TTS) cases reported during the coronavirus disease 2019 (COVID-19) pandemic and performed clustering and feature importance analysis and statistical testing for independence on the demographic,
Externí odkaz:
https://doaj.org/article/257a46c251334b2b99101510a7f5d229
Autor:
Fahim Zaman, Rakesh Ponnapureddy, Yi Grace Wang, Amanda Chang, Linda M Cadaret, Ahmed Abdelhamid, Shubha D Roy, Majesh Makan, Ruihai Zhou, Manju B Jayanna, Eric Gnall, Xuming Dai, Avneet Singh, Jingsheng Zheng, Venkata S Boppana, Feng Wang, Pahul Singh, Xiaodong Wu, Kan Liu
Publikováno v:
EClinicalMedicine, Vol 40, Iss , Pp 101115- (2021)
Background: We investigate whether deep learning (DL) neural networks can reduce erroneous human “judgment calls” on bedside echocardiograms and help distinguish Takotsubo syndrome (TTS) from anterior wall ST segment elevation myocardial infarcti
Externí odkaz:
https://doaj.org/article/9b6db8be83d748debea7d21ce19780f5
Autor:
Feng Wang, Majesh Makan, Xiaodong Wu, Avneet Singh, Jingsheng Zheng, Ruihai Zhou, Yi Grace Wang, Rakesh Ponnapureddy, Venkata S Boppana, Amanda Chang, Pahul Singh, Fahim Zaman, Linda Cadaret, Manju B. Jayanna, Shubha Deep Roy, Ahmed Abdelhamid, Xuming Dai, Eric Gnall, Kan Liu
Publikováno v:
EClinicalMedicine, Vol 40, Iss, Pp 101115-(2021)
EClinicalMedicine
EClinicalMedicine
Background We investigate whether deep learning (DL) neural networks can reduce erroneous human “judgment calls” on bedside echocardiograms and help distinguish Takotsubo syndrome (TTS) from anterior wall ST segment elevation myocardial infarctio
Autor:
Chenying Lu, Yi Grace Wang, Fahim Zaman, Xiaodong Wu, Mehul Adhaduk, Amanda Chang, Jiansong Ji, Tiemin Wei, Promporn Suksaranjit, Georgios Christodoulidis, Ernest Scalzetti, Yuchi Han, David Feiglin, Kan Liu
Publikováno v:
The international journal of cardiovascular imaging.
Recognizing early cardiac sarcoidosis (CS) imaging phenotypes can help identify opportunities for effective treatment before irreversible myocardial pathology occurs. We aimed to characterize regional CS myocardial remodeling features correlating wit
Autor:
YI (GRACE) WANG1 yiwang@math.duke.edu
Publikováno v:
Information & Inference: A Journal of the IMA. Mar2017, Vol. 6 Issue 1, p41-57. 17p.
Publikováno v:
The international journal of cardiovascular imaging. 35(7)
Up to one-third of patients selected by current guidelines do not respond to cardiac resynchronization therapy (CRT), the aim of this study was to find out novel analytical approaches to improve pre-implantation CRT response prediction. Among 31 pre-
Autor:
Hau-Tieng Wu, Yabing Li, Ingrid Daubechies, E. Harvey Estes, Yi Grace Wang, Elsayed Z. Soliman
Publikováno v:
Journal of Electrocardiology. 48:21-28
In this report we provide a method for automated detection of J wave, defined as a notch or slur in the descending slope of the terminal positive wave of the QRS complex, using signal processing and functional data analysis techniques. Two different
Autor:
Ingrid Daubechies, Yabing Li, Elsayed Z. Soliman, Wesley T. O'Neal, E. Harvey Estes, Larisa G. Tereshchenko, Yi Grace Wang, Hau-Tieng Wu, Zhu Ming Zhang
Publikováno v:
The American journal of cardiology. 118(6)
The association between the J wave, a key component of the early repolarization pattern, and adverse cardiovascular outcomes remains unclear. Inconsistencies have stemmed from the different methods used to measure the J wave. We examined the associat
Publikováno v:
WHISPERS
We extend recent work that models the background in hyperspectral images by a single distribution (Gaussian or subspace) to use a mixture of such distributions. This seems to better capture the complexity of the background, which often consists of he