Attention-based generative adversarial network in medical imaging: A narrative review
J Zhao, X Hou, M Pan, H Zhang - Computers in Biology and Medicine, 2022 - Elsevier
As a popular probabilistic generative model, generative adversarial network (GAN) has
been successfully used not only in natural image processing, but also in medical image …
been successfully used not only in natural image processing, but also in medical image …
Is attention all you need in medical image analysis? A review.
G Papanastasiou, N Dikaios, J Huang… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Medical imaging is a key component in clinical diagnosis, treatment planning and clinical
trial design, accounting for almost 90% of all healthcare data. CNNs achieved performance …
trial design, accounting for almost 90% of all healthcare data. CNNs achieved performance …
Fully complex-valued gated recurrent neural network for ultrasound imaging
Ultrasound imaging is widely used in medical diagnosis. It has the advantages of being
performed in real time, cost-efficient, noninvasive, and nonionizing. The traditional delay …
performed in real time, cost-efficient, noninvasive, and nonionizing. The traditional delay …
Adaptive beamforming based on minimum variance (ABF-MV) using deep neural network for ultrafast ultrasound imaging
W Wang, Q He, Z Zhang, Z Feng - Ultrasonics, 2022 - Elsevier
Ultrafast ultrasound imaging can achieve high frame rate by emitting planewave (PW).
However, the image quality is drastically degraded in comparison with traditional scanline …
However, the image quality is drastically degraded in comparison with traditional scanline …
Complex convolutional neural networks for ultrafast ultrasound imaging reconstruction from in-phase/quadrature signal
Ultrafast ultrasound imaging remains an active area of interest in the ultrasound community
due to its ultrahigh frame rates. Recently, a wide variety of studies based on deep learning …
due to its ultrahigh frame rates. Recently, a wide variety of studies based on deep learning …
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 KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning
Ultrafast ultrasound imaging, characterized by high frame rates, generates low-quality
images. Convolutional neural networks (CNNs) have demonstrated great potential to …
images. Convolutional neural networks (CNNs) have demonstrated great potential to …
Ultrafast cardiac imaging using deep learning for speckle-tracking echocardiography
High-quality ultrafast ultrasound imaging is based on coherent compounding from multiple
transmissions of plane waves (PW) or diverging waves (DW). However, compounding …
transmissions of plane waves (PW) or diverging waves (DW). However, compounding …
Deep null space learning improves dataset recovery for high frame rate synthetic transmit aperture imaging
Synthetic transmit aperture (STA) imaging benefits from the two-way dynamic focusing to
achieve optimal lateral resolution and contrast resolution in the full field of view, at the cost of …
achieve optimal lateral resolution and contrast resolution in the full field of view, at the cost of …
WSRGAN: A wavelet-based GAN for super-resolution of plane-wave ultrasound images without sampling loss
Y Lyu, Y Xu, C Yang, X Jiang, X Zhao, X Zhu - Engineering Applications of …, 2024 - Elsevier
Plane-wave ultrasound imaging has ultra-fast temporal resolution and can image at frame
rates exceeding 1 kHz, enabling breakthrough technologies like shear wave elastography …
rates exceeding 1 kHz, enabling breakthrough technologies like shear wave elastography …