A generative adversarial neural network for beamforming ultrasound images: Invited presentation
Plane wave ultrasound imaging is an ideal approach to achieve maximum real-time frame
rates. However, multiple plane wave insonifications at different angles are often combined to …
rates. However, multiple plane wave insonifications at different angles are often combined to …
Ultrasound deep beamforming using a multiconstrained hybrid generative adversarial network
Z Zhou, Y Guo, Y Wang - Medical Image Analysis, 2021 - Elsevier
Ultrasound beamforming is a principal factor in high-quality ultrasound imaging. The
conventional delay-and-sum (DAS) beamformer generates images with high computational …
conventional delay-and-sum (DAS) beamformer generates images with high computational …
A conditional adversarial network for single plane wave beamforming
Compared to traditional focused transmissions, plane wave (PW) ultrasound imaging has
the potential to enable higher frame rates, which is clinically relevant to real-time …
the potential to enable higher frame rates, which is clinically relevant to real-time …
Beamforming with deep learning from single plane wave RF data
Deep learning approaches for improving ultrasound image reconstruction have proven
successful in both experimental and clinical settings. In this paper, we present an …
successful in both experimental and clinical settings. In this paper, we present an …
Training Deep Network Ultrasound Beamformers With Unlabeled In Vivo Data
Conventional delay-and-sum (DAS) beamforming is highly efficient but also suffers from
various sources of image degradation. Several adaptive beamformers have been proposed …
various sources of image degradation. Several adaptive beamformers have been proposed …
A deep learning based alternative to beamforming ultrasound images
Deep learning methods are capable of performing sophisticated tasks when applied to a
myriad of artificial intelligent (AI) research fields. In this paper, we introduce a novel …
myriad of artificial intelligent (AI) research fields. In this paper, we introduce a novel …
[HTML][HTML] Empirical analysis of deep convolutional generative adversarial network for ultrasound image synthesis
Aims: This work aims to explore the utilization of deep convolutional generative adversarial
networks for the synthesis of ultrasound images and to leverage its capabilities. Background …
networks for the synthesis of ultrasound images and to leverage its capabilities. Background …
A real-time medical ultrasound simulator based on a generative adversarial network model
B Peng, X Huang, S Wang… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
This paper presents an artificial intelligence-based ultrasound simulator suitable for medical
simulation and clinical training. Particularly, we propose a machine learning approach to …
simulation and clinical training. Particularly, we propose a machine learning approach to …
Image quality improvement of hand-held ultrasound devices with a two-stage generative adversarial network
As a widely used imaging modality in the medical field, ultrasound has been applied in
community medicine, rural medicine, and even telemedicine in recent years. Therefore, the …
community medicine, rural medicine, and even telemedicine in recent years. Therefore, the …
Ultrasonic imaging using conditional generative adversarial networks
Abstract The Full Matrix Capture (FMC) and Total Focusing Method (TFM) combination is
often considered the gold standard in ultrasonic nondestructive testing, however it may be …
often considered the gold standard in ultrasonic nondestructive testing, however it may be …