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Breast Lesion Segmentation in Ultrasound Images with Limited Annotated Data.

, , , and . ISBI, page 1834-1837. IEEE, (2020)

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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)Ultrasound segmentation using U-Net: learning from simulated data and testing on real data., and . EMBC, page 6628-6631. IEEE, (2019)Self-similarity weighted mutual information: A new nonrigid image registration metric., , and . Medical Image Anal., 18 (2): 343-358 (2014)Ultrasound Scatterer Density Classification Using Convolutional Neural Networks by Exploiting Patch Statistics., , , , and . CoRR, (2020)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)Maximum reward collection problem: a cooperative receding horizon approach for dynamic clustering., , , and . RACS, page 38-43. ACM, (2015)Cooperative receding horizon control of double integrator vehicles for multi-target interception., , , and . ACC, page 5525-5530. IEEE, (2016)Ultrasound elastography of breast cancer-related lymphedema., , , , , and . ISBI, page 1491-1495. IEEE, (2018)Suppressing Clutter Components In Ultrasound Color Flow Imaging Using Robust Matrix Completion Algorithm: Simulation And Phantom Study., , , and . ISBI, page 745-749. IEEE, (2019)L1 And L2 Norm Depth-Regularized Estimation Of The Acoustic Attenuation And Backscatter Coefficients Using Dynamic Programming., , , and . ISBI, page 1749-1752. IEEE, (2019)