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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)

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Maximum reward collection problem: a cooperative receding horizon approach for dynamic clustering., , , and . RACS, page 38-43. ACM, (2015)Ultrasound elastography: enabling technology for image guided laparoscopic prostatectomy., , , , , , , , , and 1 other author(s). Medical Imaging: Image-Guided Procedures, volume 7261 of SPIE Proceedings, page 72612I. SPIE, (2009)Cooperative receding horizon control of double integrator vehicles for multi-target interception., , , and . ACC, page 5525-5530. IEEE, (2016)Automatic Frame Selection Using MLP Neural Network in Ultrasound Elastography., and . CoRR, (2019)Self-similarity weighted mutual information: A new nonrigid image registration metric., , and . Medical Image Anal., 18 (2): 343-358 (2014)Ultrasound segmentation using U-Net: learning from simulated data and testing on real data., and . EMBC, page 6628-6631. IEEE, (2019)Ablation Monitoring with Elastography: 2D In-vivoand 3D Ex-vivoStudies., , , , , , , and . MICCAI (2), volume 5242 of Lecture Notes in Computer Science, page 458-466. Springer, (2008)ARENA: Inter-modality affine registration using evolutionary strategy., , and . Int. J. Comput. Assist. Radiol. Surg., 14 (3): 441-450 (2019)Vision Transformers for Classification of Breast Ultrasound Images., and . EMBC, page 480-483. IEEE, (2022)Deep Estimation of Speckle Statistics Parametric Images., , and . EMBC, page 3907-3910. IEEE, (2022)