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ORCIDVishal Mehta
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2020 – today
- 2024
[c7]Fazli Wahid, YingLiang Ma, Vishal Mehta, Sandra Howell, Steven A. Niederer, C. Aldo Rinaldi:
A Deep Learning Framework for Assessing the Risk of Transvenous Lead Extraction Procedures. AIiH (2) 2024: 17-30- 2023
- [j8]Tareen Dawood
, Chen Chen, Baldeep S. Sidhu, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Christopher A. Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King:
Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images. Medical Image Anal. 88: 102861 (2023) - [c6]YingLiang Ma, Vishal Mehta, C. Aldo Rinaldi, Pengpeng Hu, Steven A. Niederer, Reza Razavi:
Automatic Detection of Coil Position in the Chest X-ray Images for Assessing the Risks of Lead Extraction Procedures. FIMH 2023: 310-319 - [i4]Tareen Dawood, Chen Chen, Baldeep S. Sidhua, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Christopher A. Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King:
Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images. CoRR abs/2308.15141 (2023) - 2022
- [j7]Hugh O'Brien, John Whitaker, Mark D. O'Neill, Karine Grigoryan, Harminder Gill, Vishal Mehta, Mark K. Elliot, Christopher Aldo Rinaldi, Holly Morgan, Divaka Perera, Jonathan Taylor, Ronak Rajani, Kawal S. Rhode, Steven A. Niederer:
Regional left ventricle scar detection from routine cardiac computed tomography angiograms using latent space classification. Comput. Biol. Medicine 150: 106191 (2022) - [j6]Hendrik Schwanekamp, Ramona Hohl, Dmitry Chirkin, Tom Gibbs, Alexander Harnisch, Claudio Kopper, Peter Messmer, Vishal Mehta, Alexander R. Olivas, Benedikt Riedel, Martin Rongen, David Schultz, Jakob van Santen:
Accelerating IceCube's Photon Propagation Code with CUDA. Comput. Softw. Big Sci. 6(1) (2022) - [j5]Esther Puyol-Antón, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Christopher A. Rinaldi, Andrew P. King:
A multimodal deep learning model for cardiac resynchronisation therapy response prediction. Medical Image Anal. 79: 102465 (2022) - [c5]Esther Puyol-Antón, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Haotian Gu, Christopher A. Rinaldi, Martin R. Cowie, Philip J. Chowienczyk, Reza Razavi, Andrew P. King:
AI-Enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography. ASMUS@MICCAI 2022: 75-85 - [i3]Esther Puyol-Antón, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Haotian Gu, Miguel Xochicale, Alberto Gómez, Christopher A. Rinaldi, Martin R. Cowie, Philip J. Chowienczyk, Reza Razavi, Andrew P. King:
AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography. CoRR abs/2203.11726 (2022) - 2021
- [j4]Angela W. C. Lee, Orod Razeghi, José Alonso Solís-Lemus, Marina Strocchi, Baldeep Sidhu, Justin Gould, Jonathan M. Behar, Mark K. Elliott, Vishal Mehta, Gernot Plank, Christopher A. Rinaldi, Steven A. Niederer:
Non-invasive simulated electrical and measured mechanical indices predict response to cardiac resynchronization therapy. Comput. Biol. Medicine 138: 104872 (2021) - [c4]Tareen Dawood, Chen Chen, Robin Andlauer, Baldeep S. Sidhu, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, C. Aldo Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King:
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction. STACOM@MICCAI 2021: 189-198 - [i2]Tareen Dawood, Chen Chen, Robin Andlauer, Baldeep S. Sidhu, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, C. Aldo Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King:
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction. CoRR abs/2109.10641 (2021) - 2020
- [c3]Esther Puyol-Antón, Chen Chen, James R. Clough, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Daniel Rueckert, Christopher A. Rinaldi, Andrew P. King:
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. MICCAI (1) 2020: 284-293 - [i1]Esther Puyol-Antón, Chen Chen, James R. Clough, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Daniel Rueckert, Christopher A. Rinaldi, Andrew P. King:
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. CoRR abs/2006.13811 (2020)
2010 – 2019
- 2015
- [j3]Housila P. Singh, Vishal Mehta:
Estimation of scale parameter of a Morgenstern type bivariate uniform distribution using censored ranked set samples. Model. Assist. Stat. Appl. 10(2): 139-153 (2015) - 2014
- [j2]Housila P. Singh, Vishal Mehta:
Linear shrinkage estimator of scale parameter of Morgenstern type bivariate logistic distribution using ranked set sampling. Model. Assist. Stat. Appl. 9(4): 295-307 (2014) - 2013
- [c2]Dhiraj Jadhav, Ganesh Bhutkar, Vishal Mehta:
Usability evaluation of messenger applications for Android phones using cognitive walkthrough. APCHI 2013: 9-18 - 2012
- [j1]Weider D. Yu, Jatin Patel, Vishal Mehta, Ashish Joshi:
An Approach to Design a SOA Services Governance Architecture for an u-Healthcare System with Mobility. Int. J. E Health Medical Commun. 3(2): 36-65 (2012) - 2011
- [c1]Weider D. Yu, Ashish Joshi, Jatin Patel, Vishal Mehta:
A SOA Service Governance Approach to u-Healthcare System with Mobility Capability. ICC 2011: 1-6
Coauthor Index
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