Zobrazeno 1 - 10
of 977
pro vyhledávání: '"Rinaldi, Christopher A"'
Autor:
Dawood, Tareen, Chen, Chen, Sidhua, Baldeep S., Ruijsink, Bram, Goulda, Justin, Porter, Bradley, Elliott, Mark K., Mehta, Vishal, Rinaldi, Christopher A., Puyol-Anton, Esther, Razavi, Reza, King, Andrew P.
Quantifying uncertainty of predictions has been identified as one way to develop more trustworthy artificial intelligence (AI) models beyond conventional reporting of performance metrics. When considering their role in a clinical decision support set
Externí odkaz:
http://arxiv.org/abs/2308.15141
Autor:
Puyol-Antón, Esther, Ruijsink, Bram, Sidhu, Baldeep S., Gould, Justin, Porter, Bradley, Elliott, Mark K., Mehta, Vishal, Gu, Haotian, Xochicale, Miguel, Gomez, Alberto, Rinaldi, Christopher A., Cowie, Martin, Chowienczyk, Phil, Razavi, Reza, King, Andrew P.
Publikováno v:
MICCAI ASMUS 2020
Left ventricular (LV) function is an important factor in terms of patient management, outcome, and long-term survival of patients with heart disease. The most recently published clinical guidelines for heart failure recognise that over reliance on on
Externí odkaz:
http://arxiv.org/abs/2203.11726
Autor:
Mehta, Vishal S., Ma, YingLiang, Wijesuriya, Nadeev, DeVere, Felicity, Howell, Sandra, Elliott, Mark K., Mannkakara, Nilanka N., Hamakarim, Tatiana, Wong, Tom, O’Brien, Hugh, Niederer, Steven, Razavi, Reza, Rinaldi, Christopher A.
Publikováno v:
In Heart Rhythm June 2024 21(6):919-928
Autor:
Campos, Fernando O., Neic, Aurel, Costa, Caroline Mendonca, Whitaker, John, O'Neill, Mark, Razavi, Reza, Rinaldi, Christopher A., Scherr, Daniel, Niederer, Steven A., Plank, Gernot, Bishop, Martin J.
Catheter ablation is currently the only curative treatment for scar-related ventricular tachycardias (VTs). However, not only are ablation procedures long, with relatively high risk, but success rates are punitively low, with frequent VT recurrence.
Externí odkaz:
http://arxiv.org/abs/2108.13194
Autor:
Puyol-Antón, Esther, Sidhu, Baldeep S., Gould, Justin, Porter, Bradley, Elliott, Mark K., Mehta, Vishal, Rinaldi, Christopher A., King, Andrew P.
We present a novel multimodal deep learning framework for cardiac resynchronisation therapy (CRT) response prediction from 2D echocardiography and cardiac magnetic resonance (CMR) data. The proposed method first uses the `nnU-Net' segmentation model
Externí odkaz:
http://arxiv.org/abs/2107.10662
Autor:
Wijesuriya, Nadeev, Strocchi, Marina, Elliott, Mark, Mehta, Vishal, De Vere, Felicity, Howell, Sandra, Mannakkara, Nilanka, Sidhu, Baldeep S., Kwan, Jane, Bosco, Paolo, Niederer, Steven A., Rinaldi, Christopher A.
Publikováno v:
In Heart Rhythm O2
Autor:
Bhagirath, Pranav, Campos, Fernando O., Zaidi, Hassan A., Chen, Zhong, Elliott, Mark, Gould, Justin, Kemme, Michiel J.B., Wilde, Arthur A.M., Götte, Marco J.W., Postema, Pieter G., Prassl, Anton J., Neic, Aurel, Plank, Gernot, Rinaldi, Christopher A., Bishop, Martin J.
Publikováno v:
In Heart Rhythm
Autor:
Elliott, Mark K., Strocchi, Marina, Sieniewicz, Benjamin J., Mehta, Vishal, Wijesuriya, Nadeev, deVere, Felicity, Howell, Sandra, Thorpe, Andrew, Martic, Dejana, Bishop, Martin J., Niederer, Steven, Rinaldi, Christopher A.
Publikováno v:
In Heart Rhythm December 2023 20(12):1629-1636
Autor:
Puyol-Antón, Esther, Chen, Chen, Clough, James R., Ruijsink, Bram, Sidhu, Baldeep S., Gould, Justin, Porter, Bradley, Elliott, Mark, Mehta, Vishal, Rueckert, Daniel, Rinaldi, Christopher A., King, Andrew P.
Advances in deep learning (DL) have resulted in impressive accuracy in some medical image classification tasks, but often deep models lack interpretability. The ability of these models to explain their decisions is important for fostering clinical tr
Externí odkaz:
http://arxiv.org/abs/2006.13811
Autor:
Sidhu, Baldeep S., Lee, Angela W.C., Gould, Justin, Porter, Bradley, Sieniewicz, Benjamin, Elliott, Mark K., Mehta, Vishal S., Wijesuriya, Nadeev, Amadou, Abdoul A., Plank, Gernot, Haberland, Ulrike, Rajani, Ronak, Rinaldi, Christopher A., Niederer, Steven A.
Publikováno v:
In Heart Rhythm November 2023 20(11):1481-1488