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Danny Smyl
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Structural health and condition monitoring via electrical impedance tomography in self-sensing materials: a review
TN Tallman, DJ Smyl
Smart Materials and Structures 29 (12), 123001, 2020
1022020
Can electrical resistance tomography be used for imaging unsaturated moisture flow in cement-based materials with discrete cracks?
D Smyl, R Rashetnia, A Seppänen, M Pour-Ghaz
Cement and Concrete Research 91, 61-72, 2017
872017
A parametric level set-based approach to difference imaging in electrical impedance tomography
D Liu, D Smyl, J Du
IEEE transactions on medical imaging 38 (1), 145-155, 2018
692018
Modeling water absorption in concrete and mortar with distributed damage
D Smyl, F Ghasemzadeh, M Pour-Ghaz
Construction and Building Materials 125, 438-449, 2016
662016
Quantitative electrical imaging of three-dimensional moisture flow in cement-based materials
D Smyl, M Hallaji, A Seppänen, M Pour-Ghaz
International Journal of Heat and Mass Transfer 103, 1348-1358, 2016
642016
Detection and reconstruction of complex structural cracking patterns with electrical imaging
D Smyl, M Pour-Ghaz, A Seppänen
NDT & E International 99, 123-133, 2018
602018
Nonstationary shape estimation in electrical impedance tomography using a parametric level set-based extended Kalman filter approach
D Liu, D Smyl, J Du
IEEE Transactions on Instrumentation and Measurement 69 (5), 1894-1907, 2019
522019
B-spline-based sharp feature preserving shape reconstruction approach for electrical impedance tomography
D Liu, D Gu, D Smyl, J Deng, J Du
IEEE transactions on medical imaging 38 (11), 2533-2544, 2019
502019
Optimizing electrode positions in 2-D electrical impedance tomography using deep learning
D Smyl, D Liu
IEEE Transactions on Instrumentation and Measurement 69 (9), 6030-6044, 2020
492020
DeepEIT: Deep image prior enabled electrical impedance tomography
D Liu, J Wang, Q Shan, D Smyl, J Deng, J Du
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (8), 9627-9638, 2023
472023
Prediction of blast loading in an internal environment using artificial neural networks
AA Dennis, JJ Pannell, DJ Smyl, SE Rigby
International Journal of Protective Structures 12 (3), 287-314, 2021
452021
Three-dimensional electrical impedance tomography to monitor unsaturated moisture ingress in cement-based materials
D Smyl, M Hallaji, A Seppänen, M Pour-Ghaz
Transport in Porous Media, 0
45*
Electrical tomography for characterizing transport properties in cement-based materials: A review
D Smyl
Construction and Building Materials 244, 118299, 2020
432020
Shape reconstruction using Boolean operations in electrical impedance tomography
D Liu, D Gu, D Smyl, J Deng, J Du
IEEE transactions on medical imaging 39 (9), 2954-2964, 2020
412020
B-spline level set method for shape reconstruction in electrical impedance tomography
D Liu, D Gu, D Smyl, J Deng, J Du
IEEE transactions on Medical Imaging 39 (6), 1917-1929, 2019
382019
A comparison of methods to evaluate mass transport in damaged mortar
M Ghasemzadeh, F., Rashetnia, R., Smyl, D., Pour-Ghaz
Cement and Concrete Composites, 2016
352016
Structural engineering from an inverse problems perspective
A Gallet, S Rigby, TN Tallman, X Kong, I Hajirasouliha, A Liew, D Liu, ...
Proceedings of the Royal Society A 478 (2257), 20210526, 2022
312022
Shape-driven EIT reconstruction using Fourier representations
D Liu, D Gu, D Smyl, AK Khambampati, J Deng, J Du
IEEE Transactions on Medical Imaging 40 (2), 481-490, 2020
262020
Learning and correcting non-Gaussian model errors
D Smyl, TN Tallman, JA Black, A Hauptmann, D Liu
Journal of Computational Physics 432, 110152, 2021
252021
Shape-driven difference electrical impedance tomography
D Liu, D Smyl, D Gu, J Du
IEEE Transactions on Medical Imaging 39 (12), 3801-3812, 2020
252020
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