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

, , и . EMBC, стр. 2075-2078. IEEE, (2020)

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Ali Tinaye-Tehrani

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Infusing Physically Inspired Known Operators in Deep Models of Ultrasound Elastography., и . MICCAI (1), том 14220 из Lecture Notes in Computer Science, стр. 467-476. Springer, (2023)Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography., и . MICCAI (4), том 13434 из Lecture Notes in Computer Science, стр. 218-227. Springer, (2022)Sound Source Localization Using Time Differences of Arrival; Euclidean Distance Matrices Based Approach., , , и . IST, стр. 91-95. IEEE, (2018)Deep Estimation of Speckle Statistics Parametric Images., , и . EMBC, стр. 3907-3910. IEEE, (2022)Ultrasound Scatterer Density Classification Using Convolutional Neural Networks by Exploiting Patch Statistics., , , , и . CoRR, (2020)Homodyned K-Distribution: Parameter Estimation and Uncertainty Quantification Using Bayesian Neural Networks., , и . ISBI, стр. 1-4. IEEE, (2023)Exploiting Mechanics-Based Priors for Lateral Displacement Estimation in Ultrasound Elastography., , и . IEEE Trans. Medical Imaging, 42 (11): 3307-3322 (ноября 2023)Semi-supervised Training of Optical Flow Convolutional Neural Networks in Ultrasound Elastography., , и . MICCAI (3), том 12263 из Lecture Notes in Computer Science, стр. 504-513. Springer, (2020)Real-time and High Quality Ultrasound Elastography Using Convolutional Neural Network by Incorporating Analytic Signal., , и . EMBC, стр. 2075-2078. IEEE, (2020)A Pilot Study on Scatterer Density Classification of Ultrasound Images Using Deep Neural Networks., , , , и . EMBC, стр. 2059-2062. IEEE, (2020)