Zobrazeno 1 - 10
of 35
pro vyhledávání: '"David Firmin"'
Autor:
Sonia Nielles-Vallespin, PhD, MSc, BSc, Pedro Ferreira, PhD, Andrew Scott, PhD, FSCMR, Camila Munoz, PhD, Ramyah Rajakulasingam, MD, Elena Surkova, David Firmin, Dudley Pennell, MD, FSCMR, Andrew Arai, Ranil de Silva, MD, PhD
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 26, Iss , Pp 100253- (2024)
Externí odkaz:
https://doaj.org/article/65bbb7b0a87948ab8b4829a21024853f
Autor:
Claire E. Raphael, Frances Mitchell, Gajen Sunthar Kanaganayagam, Alphonsus C. Liew, Elisa Di Pietro, Miguel Silva Vieira, Lina Kanapeckaite, Simon Newsome, John Gregson, Ruth Owen, Li-Yueh Hsu, Vassilis Vassiliou, Robert Cooper, Aamir Ali MRCP, Tevfik F. Ismail, Brandon Wong, Kristi Sun, Peter Gatehouse, David Firmin, Stuart Cook, Michael Frenneaux, Andrew Arai, Rory O’Hanlon, Dudley J. Pennell, Sanjay K. Prasad
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 23, Iss 1, Pp 1-12 (2021)
Abstract Introduction Heart failure (HF) in hypertrophic cardiomyopathy (HCM) is associated with high morbidity and mortality. Predictors of HF, in particular the role of myocardial fibrosis and microvascular ischemia remain unclear. We assessed the
Externí odkaz:
https://doaj.org/article/ad4218ea5eb2469bb24e165d7cd74083
Autor:
Tong Liu, Zhen Zhou, Kairui Bo, Yifeng Gao, Hui Wang, Rui Wang, Wei Liu, Sanshuai Chang, Yuanyuan Liu, Yuqing Sun, David Firmin, Guang Yang, Jianzeng Dong, Lei Xu
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 8 (2021)
Purpose: Left ventricular global function index (LVGFI) assessed using cardiac magnetic resonance (CMR) seems promising in the prediction of clinical outcomes. However, the role of the LVGFI is uncertain in patients with heart failure (HF) with dilat
Externí odkaz:
https://doaj.org/article/7f06be83f70342a49839d6158d7b9aff
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
Segmentation of cardiac fibrosis and scars is essential for clinical diagnosis and can provide invaluable guidance for the treatment of cardiac diseases. Late Gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) has been successful in
Externí odkaz:
https://doaj.org/article/fcd6260fac2a490188024d3debc02df8
Autor:
Yinzhe Wu, Suzan Hatipoglu, Diego Alonso-Álvarez, Peter Gatehouse, Binghuan Li, Yikai Gao, David Firmin, Jennifer Keegan, Guang Yang
Publikováno v:
Diagnostics, Vol 11, Iss 2, p 346 (2021)
Three-directional cine multi-slice left ventricular myocardial velocity mapping (3Dir MVM) is a cardiac magnetic resonance (CMR) technique that allows the assessment of cardiac motion in three orthogonal directions. Accurate and reproducible delineat
Externí odkaz:
https://doaj.org/article/6df684632b444c119bf6c98fd06f8d2b
Autor:
Zhen Zhou, Yifeng Gao, Weiwei Zhang, Kairui Bo, Nan Zhang, Hui Wang, Rui Wang, Zhiqiang Du, David Firmin, Guang Yang, Heye Zhang, Lei Xu
Publikováno v:
European Radiology. 33:678-689
To further reduce the contrast medium (CM) dose of full aortic CT angiography (ACTA) imaging using the augmented cycle-consistent adversarial framework (Au-CycleGAN) algorithm.We prospectively enrolled 150 consecutive patients with suspected aortic d
Autor:
Xiaodan Xing, Javier Del Ser, Yinzhe Wu, Yang Li, Jun Xia, Xu Lei, David Firmin, Peter Gatehouse, Guang Yang
Publikováno v:
IEEE journal of biomedical and health informatics.
Synthetic digital twins based on medical data accelerate the acquisition, labelling and decision making procedure in digital healthcare. A core part of digital healthcare twins is model-based data synthesis, which permits the generation of realistic
Autor:
Yutong Chen, Carola-Bibiane Schonlieb, Pietro Lio, Tim Leiner, Pier Luigi Dragotti, Ge Wang, Daniel Rueckert, David Firmin, Guang Yang
Compressed sensing (CS) has been playing a key role in accelerating the magnetic resonance imaging (MRI) acquisition process. With the resurgence of artificial intelligence, deep neural networks and CS algorithms are being integrated to redefine the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9a878c2373eaf1634816e4aa27f1cbc
http://hdl.handle.net/10044/1/93694
http://hdl.handle.net/10044/1/93694
Autor:
Zhen Zhou, Yifeng Gao, Weiwei Zhang, Kairui Bo, Nan Zhang, Hui Wang, Rui Wang, Zhiqiang Du, David Firmin, Guang Yang, Heye Zhang, Lei Xu
Publikováno v:
European Radiology. 33:742-742
Autor:
Nan, Zhang, Guang, Yang, Zhifan, Gao, Chenchu, Xu, Yanping, Zhang, Rui, Shi, Jennifer, Keegan, Lei, Xu, Heye, Zhang, Zhanming, Fan, David, Firmin
Publikováno v:
Radiology. 291(3)
Background Renal impairment is common in patients with coronary artery disease and, if severe, late gadolinium enhancement (LGE) imaging for myocardial infarction (MI) evaluation cannot be performed. Purpose To develop a fully automatic framework for