Deep learning for ultrasound image formation: CUBDL evaluation framework and open datasets

D Hyun, A Wiacek, S Goudarzi… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Deep learning for ultrasound image formation is rapidly garnering research support and
attention, quickly rising as the latest frontier in ultrasound image formation, with much …

Review on wearable system for positioning ultrasound scanner

L Li, L Zhao, R Hassan, H Ren - Machines, 2023 - mdpi.com
Although ultrasound (US) scan or diagnosis became widely employed in the 20th century, it
still plays a crucial part in modern medical diagnostics, serving as a diagnostic tool or a …

Machine Learning and Deep Learning Applications in Magnetic Particle Imaging

S Nigam, E Gjelaj, R Wang, GW Wei… - Journal of Magnetic …, 2024 - Wiley Online Library
In recent years, magnetic particle imaging (MPI) has emerged as a promising imaging
technique depicting high sensitivity and spatial resolution. It originated in the early 2000s …

Deep learning inversion with supervision: A rapid and cascaded imaging technique

J Tong, M Lin, X Wang, J Li, J Ren, L Liang, Y Liu - Ultrasonics, 2022 - Elsevier
Abstract Machine learning has been demonstrated to be extremely promising in solving
inverse problems, but deep learning algorithms require enormous training samples to obtain …

Fully complex-valued gated recurrent neural network for ultrasound imaging

Z Lei, S Gao, H Hasegawa, Z Zhang… - … on Neural Networks …, 2023 - ieeexplore.ieee.org
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 …

Plane-wave image reconstruction via generative adversarial network and attention mechanism

J Tang, B Zou, C Li, S Feng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Plane-wave imaging (PWI) has been designed and widely applied in ultrasound imaging in
recent years. This technique achieves high frame rate while compromising with the image …

Unsupervised convolutional neural network for motion estimation in ultrasound elastography

X Wei, Y Wang, L Ge, B Peng, Q He… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
High-quality motion estimation is essential for ultrasound elastography (USE). Traditional
motion estimation algorithms based on speckle tracking such as normalized cross …

Improving image quality for single-angle plane wave ultrasound imaging with convolutional neural network beamformer

JY Lu, PY Lee, CC Huang - IEEE Transactions on Ultrasonics …, 2022 - ieeexplore.ieee.org
Ultrafast ultrasound imaging based on plane wave (PW) compounding has been proposed
for use in various clinical and preclinical applications, including shear wave imaging and …

Masked cross-domain self-supervised deep learning framework for photoacoustic computed tomography reconstruction

H Lan, L Huang, X Wei, Z Li, J Lv, C Ma, L Nie, J Luo - Neural Networks, 2024 - Elsevier
Accurate image reconstruction is crucial for photoacoustic (PA) computed tomography
(PACT). Recently, deep learning has been used to reconstruct PA images with a supervised …

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 …