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Hector Lise de Moura
Hector Lise de Moura
PostDoctoral Fellow at NYU Langone
Verified email at nyulangone.org
Title
Cited by
Cited by
Year
Capacitive Multielectrode Direct-Imaging Sensor for the Visualization of Two-Phase Flows
A do Nascimento Wrasse, TP Vendruscolo, EN Dos Santos, DR Pipa, ...
IEEE Sensors Journal 17 (24), 8047-8058, 2017
242017
Image reconstruction for electrical capacitance tomography through redundant sensitivity matrix
HL de Moura, DR Pipa, A do Nascimento Wrasse, MJ da Silva
IEEE Sensors Journal 17 (24), 8157-8165, 2017
172017
Twin direct-imaging sensor for flow velocity profiling in two-phase mixtures
LFS Botton, HL de Moura, AN Wrasse, DR Pipa, REM Morales, ...
2018 IEEE SENSORS, 1-4, 2018
82018
A straightforward method to evaluate the directivity function of ultrasound imaging systems
TA Prado, HL Moura, TAR Passarin, GA Guarneri, GP Pires, DR Pipa
NDT & E International 119, 102402, 2021
72021
Updates on Compositional MRI Mapping of the Cartilage: Emerging Techniques and Applications
MVW Zibetti, RG Menon, HL de Moura, X Zhang, R Kijowski, RR Regatte
Journal of Magnetic Resonance Imaging, 2023
62023
K2S Challenge: From Undersampled K-Space to Automatic Segmentation
AA Tolpadi, U Bharadwaj, KT Gao, R Bhattacharjee, FG Gassert, ...
Bioengineering 10 (2), 267, 2023
52023
Image-Based Ultrasound Speed Estimation in Isotropic Materials
HL de Moura, V de Oliveira Silva, GA Guarneri, MTL Guerreiro, ...
IEEE Sensors Journal 20 (21), 12903-12913, 2020
52020
Cable fault characterization by time-domain analysis from S-parameter measurement and sparse inverse Chirp-Z transform
GH Weber, HL de Moura, DR Pipa, C Martelli, JCC da Silva, MJ da Silva
IEEE Sensors Journal 21 (2), 1009-1016, 2020
52020
Sparse inverse chirp-Z transform of S-parameter measurements for time domain analysis of transmission line
GH Weber, HL Moura, G Dutra, UJ Dreyer, RJ Daciuk, JCC da Silva, ...
XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais …, 2017
42017
Optimization of Spin-Lock Times for T1ρ Mapping of Human Knee Cartilage with Bi-and Stretched-exponential Models
HL de Moura, RG Menon, MVW Zibetti, RR Regatte
Scientific Reports, 2022
32022
Adaptive time corrected gain for ultrasound through time-varying wiener deconvolution
DR Pipa, GA Guarneri, HL de Moura
2017 25th European signal processing conference (EUSIPCO), 2482-2485, 2017
32017
Emerging Trends in Fast MRI Using Deep-Learning Reconstruction on Undersampled k-Space Data: A Systematic Review
D Singh, A Monga, HL de Moura, X Zhang, MVW Zibetti, RR Regatte
Bioengineering 10 (9), 1012, 2023
12023
Optimizing variable flip angles in magnetization‐prepared gradient‐echo sequences for efficient 3D‐T1ρ mapping
MVW Zibetti, HL De Moura, MB Keerthivasan, RR Regatte
Magnetic Resonance in Medicine, 2023
12023
Surface Estimation via Analysis Method: A Constrained Inverse Problem Approach
HL de Moura, T de Almeida Prado, GA Guarneri, TAR Passarin, ...
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 68 …, 2021
12021
Age and gender differences in lumbar intervertebral disk strain using mechanical loading magnetic resonance imaging
RG Menon, HL de Moura, R Kijowski, RR Regatte
NMR in Biomedicine 36 (11), e4999, 2023
2023
Repeatability of Quantitative Knee Cartilage T1, T2, and T Mapping With 3D‐MRI Fingerprinting
X Zhang, HL de Moura, A Monga, MVW Zibetti, R Kijowski, RR Regatte
Journal of Magnetic Resonance Imaging, 2023
2023
Age and Gender‐Dependence of Single‐and Bi‐Exponential T1ρ MR Parameters in Knee Ligaments
H Lise de Moura, R Kijowski, X Zhang, A Sharafi, MVW Zibetti, R Regatte
Journal of Magnetic Resonance Imaging, 2023
2023
K2S Challenge: From Undersampled K-Space to Automatic Segmentation
M Hein, AA Tolpadi, U Upadhyay Bharadwaj, KT Gao, R Bhattacharjee, ...
AI in MRI: Frontiers and Applications 10 (2), 2023
2023
AGE-DEPENDENCE OF SINGLE-AND MULTI-EXPONENTIAL T2 PARAMETERS IN KNEE LIGAMENTS AND TENDONS
HL de Moura, R Kijowski, A Sharafi, MVW Zibetti, R Regatte
Osteoarthritis Imaging 3, 100138, 2023
2023
Parameter and surface estimation in ultrasound non-destructive testing
HL Moura
Universidade Tecnológica Federal do Paraná, 2021
2021
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