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Real-time and High Quality Ultrasound Elastography Using Convolutional Neural Network by Incorporating Analytic Signal.

, , and . EMBC, page 2075-2078. IEEE, (2020)

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Infusing Physically Inspired Known Operators in Deep Models of Ultrasound Elastography., and . MICCAI (1), volume 14220 of Lecture Notes in Computer Science, page 467-476. Springer, (2023)Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography., and . MICCAI (4), volume 13434 of Lecture Notes in Computer Science, page 218-227. Springer, (2022)Homodyned K-Distribution: Parameter Estimation and Uncertainty Quantification Using Bayesian Neural Networks., , and . ISBI, page 1-4. IEEE, (2023)Exploiting Mechanics-Based Priors for Lateral Displacement Estimation in Ultrasound Elastography., , and . IEEE Trans. Medical Imaging, 42 (11): 3307-3322 (November 2023)Semi-supervised Training of Optical Flow Convolutional Neural Networks in Ultrasound Elastography., , and . MICCAI (3), volume 12263 of Lecture Notes in Computer Science, page 504-513. Springer, (2020)Lateral Strain Imaging using Self-supervised and Physically Inspired Constraints in Unsupervised Regularized Elastography., , and . CoRR, (2022)Ultrasound Scatterer Density Classification Using Convolutional Neural Networks by Exploiting Patch Statistics., , , , and . CoRR, (2020)Deep Estimation of Speckle Statistics Parametric Images., , and . EMBC, page 3907-3910. IEEE, (2022)Sound Source Localization Using Time Differences of Arrival; Euclidean Distance Matrices Based Approach., , , and . IST, page 91-95. IEEE, (2018)Lateral Strain Imaging Using Self-Supervised and Physically Inspired Constraints in Unsupervised Regularized Elastography., , and . IEEE Trans. Medical Imaging, 42 (5): 1462-1471 (May 2023)