27 citations · 33 across the 4 of their papers we have counts for
6 papers
High frame-rate cardiac ultrasound imaging with deep learning
Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov +5
Cardiac ultrasound imaging requires a high frame rate in order to capture rapid motion. This can be achieved by multi-line acquisition (MLA), where several narrow-focused received…
High quality ultrasonic multi-line transmission through deep learning
Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov +5
Frame rate is a crucial consideration in cardiac ultrasound imaging and 3D sonography. Several methods have been proposed in the medical ultrasound literature aiming at acceleratin…
SUSHI: Sparsity-based Ultrasound Super-resolution Hemodynamic Imaging
Avinoam Bar-Zion, Oren Solomon, Charles Tremblay-Darveau +2
Identifying and visualizing vasculature within organs and tumors has major implications in managing cardiovascular diseases and cancer. Contrast-enhanced ultrasound scans detect sl…
Fast Vascular Ultrasound Imaging with Enhanced Spatial Resolution and Background Rejection
Avinoam Bar-Zion, Charles Tremblay-Darveau, Oren Solomon +2
Ultrasound super-localization microscopy techniques presented in the last few years enable non-invasive imaging of vascular structures at the capillary level by tracking the flow o…
Using Anatomical Markers for Left Ventricular Segmentation of Long Axis Ultrasound Images
Yael Petrank, Nahum Smirin, Yossi Tsadok +3
Left ventricular segmentation is essential for measuring left ventricular function indices. Segmentation of one or several images requires an initial guess of the contour. It is hy…
Stable Support Recovery of Stream of Pulses with Application to Ultrasound Imaging
Tamir Bendory, Avinoam Bar-Zion, Dan Adam +2
This paper considers the problem of estimating the delays of a weighted superposition of pulses, called stream of pulses, in a noisy environment. We show that the delays can be est…