A Convolutional Neural Network for Beamforming and Image Reconstruction in Passive Cavitation Imaging
Convolutional neural networks (CNNs), initially developed for image processing
applications, have recently received significant attention within the field of medical …
applications, have recently received significant attention within the field of medical …
Robust RF Data Normalization for Deep Learning
Radio frequency (RF) data contain richer information compared to other data types, such as
envelope or B-mode, and employing RF data for training deep neural networks has attracted …
envelope or B-mode, and employing RF data for training deep neural networks has attracted …
Frequency-Space Prediction Filtering for Phase Aberration Correction in Plane-Wave Ultrasound
Ultrasound imaging often suffers from image degradation stemming from phase aberration,
which represents a significant contributing factor to the overall image degradation in …
which represents a significant contributing factor to the overall image degradation in …