A review of deep learning applications in lung ultrasound imaging of COVID-19 patients

L Zhao, MAL Bell - BME frontiers, 2022 - spj.science.org
The massive and continuous spread of COVID-19 has motivated researchers around the
world to intensely explore, understand, and develop new techniques for diagnosis and …

[HTML][HTML] Aberration correction in diagnostic ultrasound: A review of the prior field and current directions

R Ali, T Brevett, L Zhuang, H Bendjador… - … für Medizinische Physik, 2023 - Elsevier
Medical ultrasound images are reconstructed with simplifying assumptions on wave
propagation, with one of the most prominent assumptions being that the imaging medium is …

A survey on deep learning in medical ultrasound imaging

K Song, J Feng, D Chen - Frontiers in Physics, 2024 - frontiersin.org
Ultrasound imaging has a history of several decades. With its non-invasive, low-cost
advantages, this technology has been widely used in medicine and there have been many …

Investigating pulse-echo sound speed estimation in breast ultrasound with deep learning

WA Simson, M Paschali, V Sideri-Lampretsa, N Navab… - Ultrasonics, 2024 - Elsevier
Ultrasound is an adjunct tool to mammography that can quickly and safely aid physicians in
diagnosing breast abnormalities. Clinical ultrasound often assumes a constant sound speed …

Artificial intelligence-aided method to detect uterine fibroids in ultrasound images: A retrospective study

T Huo, L Li, X Chen, Z Wang, X Zhang, S Liu… - Scientific Reports, 2023 - nature.com
We explored a new artificial intelligence-assisted method to assist junior ultrasonographers
in improving the diagnostic performance of uterine fibroids and further compared it with …

High-resolution and high-contrast ultrafast ultrasound imaging using coherent plane wave adaptive compounding

M Hashemseresht, S Afrakhteh, H Behnam - Biomedical Signal Processing …, 2022 - Elsevier
Plane-wave imaging (PWI) is an interesting technique for increasing frame rate in medical
ultrasound imaging, but it suffers from poor image quality. To overcome this problem, the …

[HTML][HTML] Ultrasound signal processing: from models to deep learning

B Luijten, N Chennakeshava, YC Eldar… - Ultrasound in medicine …, 2023 - Elsevier
Medical ultrasound imaging relies heavily on high-quality signal processing to provide
reliable and interpretable image reconstructions. Conventionally, reconstruction algorithms …

Machine learning‐based model for predicting the material properties of nanostructured aerogels

OA Tafreshi, Z Saadatnia… - SPE …, 2023 - Wiley Online Library
Data‐driven modeling in material science rose to prominence in the last decade, and
various supervised and unsupervised machine learning techniques have been employed for …

Inverse problem of ultrasound beamforming with denoising-based regularized solutions

S Goudarzi, A Basarab, H Rivaz - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
During the past few years, inverse problem formulations of ultrasound beamforming have
attracted growing interest. They usually pose beamforming as a minimization problem of a …

Ultrasound imaging with a flexible probe based on element array geometry estimation using deep neural network

T Noda, T Azuma, Y Ohtake, I Sakuma… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Conventionally, ultrasound (US) diagnosis is performed using hand-held rigid probes. Such
devices are difficult to be used for long-term monitoring because they need to be …