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MATNet: Exploiting Multi-Modal Features for Radiology Report Generation., , , , , and . IEEE Signal Process. Lett., (2022)An Application of Super-Resolution Generative Adversary Networks for Quasi-Static Ultrasound Strain Elastography: A Feasibility Study., , , and . IEEE Access, (2020)Vortex Analysis of Intra-Aneurismal Flow in Cerebral Aneurysms., , , and . Comput. Math. Methods Medicine, (2016)Interactive Decomposition and Mapping of Saccular Cerebral Aneurysms Using Harmonic Functions: Its First Application With "Patient-Specific" Computational Fluid Dynamics (CFD) Simulations., and . IEEE Trans. Med. Imaging, 32 (2): 153-164 (2013)A Real-Time Medical Ultrasound Simulator Based on a Generative Adversarial Network Model., , , and . ICIP, page 4629-4633. IEEE, (2019)Motion Tracking for Palpation Imaging., and . ISBI, page 45-48. IEEE, (2004)A Finite Element Approach for Young's Modulus Reconstruction., , and . IEEE Trans. Med. Imaging, 22 (7): 890-901 (2003)Linear and Nonlinear Elastic Modulus Imaging: An Application to Breast Cancer Diagnosis., , , , , , and . IEEE Trans. Med. Imaging, 31 (8): 1628-1637 (2012)Performance Assessment of Motion Tracking Methods in Ultrasound-based Shear Wave Elastography., , , and . SMC, page 3643-3648. IEEE, (2020)A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images., , , , , , , and . CoRR, (2021)