Zobrazeno 1 - 10
of 501
pro vyhledávání: '"de Marvao A"'
Autor:
Qiao, Mengyun, Wang, Shuo, Qiu, Huaqi, de Marvao, Antonio, O'Regan, Declan P., Rueckert, Daniel, Bai, Wenjia
Two key questions in cardiac image analysis are to assess the anatomy and motion of the heart from images; and to understand how they are associated with non-imaging clinical factors such as gender, age and diseases. While the first question can ofte
Externí odkaz:
http://arxiv.org/abs/2301.13098
Autor:
Meng, Qingjie, Qin, Chen, Bai, Wenjia, Liu, Tianrui, de Marvao, Antonio, O'Regan, Declan P, Rueckert, Daniel
Recovering the 3D motion of the heart from cine cardiac magnetic resonance (CMR) imaging enables the assessment of regional myocardial function and is important for understanding and analyzing cardiovascular disease. However, 3D cardiac motion estima
Externí odkaz:
http://arxiv.org/abs/2208.00034
Autor:
McGurk, Kathryn A., Zheng, Sean L., Henry, Albert, Josephs, Katherine, Edwards, Matthew, de Marvao, Antonio, Whiffin, Nicola, Roberts, Angharad, Lumbers, Thomas R., Regan, Declan P. O, Ware, James S.
Publikováno v:
Genet Med. 2022 Mar;24(3):744-746
We were interested to read the recent update on recommendations for reporting of secondary findings in clinical sequencing1, and the accompanying updated list of genes in which secondary findings should be sought (ACMG SF v3.0)2. Though the authors d
Externí odkaz:
http://arxiv.org/abs/2203.04684
Autor:
Corden Ben, Keenan Niall G, de Marvao Antonio, Dawes Tim, De Cesare Alain, Diamond Tamara, Durighel Giuliana, Hughes Alun D, Cook Stuart A, O'Regan Declan P
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 15, Iss Suppl 1, p P229 (2013)
Externí odkaz:
https://doaj.org/article/31488bd22de44239868c89776363024f
Autor:
de Marvao Antonio, Dawes Tim, Keenan Niall G, Bai Wenjia, Shi Wenzhe, Durighel Giuliana, Diamond Tamara, Monje-Garcia Laura, Cook Stuart A, O'Regan Declan P
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 15, Iss Suppl 1, p E2 (2013)
Externí odkaz:
https://doaj.org/article/e607507ecb28427f95062c7cd458137c
Autor:
Mit Shah, Marco H. de A. Inácio, Chang Lu, Pierre-Raphaël Schiratti, Sean L. Zheng, Adam Clement, Antonio de Marvao, Wenjia Bai, Andrew P. King, James S. Ware, Martin R. Wilkins, Johanna Mielke, Eren Elci, Ivan Kryukov, Kathryn A. McGurk, Christian Bender, Daniel F. Freitag, Declan P. O’Regan
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
Abstract Cardiovascular ageing is a process that begins early in life and leads to a progressive change in structure and decline in function due to accumulated damage across diverse cell types, tissues and organs contributing to multi-morbidity. Dama
Externí odkaz:
https://doaj.org/article/5ca4f1d3a73b4fbe9ffa76bdd765cf9c
Autor:
Thorley, Alexander, Jia, Xi, Chang, Hyung Jin, Liu, Boyang, Bunting, Karina, Stoll, Victoria, de Marvao, Antonio, O'Regan, Declan P., Gkoutos, Georgios, Kotecha, Dipak, Duan, Jinming
Deterministic approaches using iterative optimisation have been historically successful in diffeomorphic image registration (DiffIR). Although these approaches are highly accurate, they typically carry a significant computational burden. Recent devel
Externí odkaz:
http://arxiv.org/abs/2109.12688
Autor:
Savioli, Nicolo, de Marvao, Antonio, Bai, Wenjia, Wang, Shuo, Cook, Stuart A., Chin, Calvin W. L., Rueckert, Daniel, O'Regan, Declan P.
Optimising the analysis of cardiac structure and function requires accurate 3D representations of shape and motion. However, techniques such as cardiac magnetic resonance imaging are conventionally limited to acquiring contiguous cross-sectional slic
Externí odkaz:
http://arxiv.org/abs/2107.07975
Autor:
Jia, Xi, Thorley, Alexander, Chen, Wei, Qiu, Huaqi, Shen, Linlin, Styles, Iain B, Chang, Hyung Jin, Leonardis, Ales, de Marvao, Antonio, O'Regan, Declan P., Rueckert, Daniel, Duan, Jinming
Data-driven deep learning approaches to image registration can be less accurate than conventional iterative approaches, especially when training data is limited. To address this whilst retaining the fast inference speed of deep learning, we propose V
Externí odkaz:
http://arxiv.org/abs/2105.12227
Autor:
Patel, Kiran Haresh Kumar, Bajaj, Nikesh, Statton, Ben K., Bishop, Martin J., Herath, Nihara S., Stoks, Job, Li, Xinyang, Sau, Arunashis, Nyamakope, Kimberley, Davidson, Ross, Savvidou, Stelutsa, Agha-Jaffar, Danya, Coghlin, Joseph A., Brezitski, Maria, Bergman, Hannah, Berry, Alaine, Ardissino, Maddalena, de Marvao, Antonio Simoes Monteiro, Cousins, Jonathan, Ware, James S., Purkayastha, Sanjay, Volders, Paul, Peters, Nicholas S., O’Regan, Declan P., Coronel, Ruben, Cluitmans, Matthijs, Lambiase, Pier D., Ng, Fu Siong
Publikováno v:
In Heart Rhythm