[HTML][HTML] Deep learning for real-time multi-class segmentation of artefacts in lung ultrasound

L Howell, N Ingram, R Lapham, A Morrell… - Ultrasonics, 2024 - Elsevier
Lung ultrasound (LUS) has emerged as a safe and cost-effective modality for assessing lung
health, particularly during the COVID-19 pandemic. However, interpreting LUS images …

Medical Imaging-based Artificial Intelligence in Pneumonia: A Narrative Review

Y Yang, W **ng, Y Liu, Y Li, D Ta, Y Song, D Hou - Neurocomputing, 2025 - Elsevier
Pneumonia is a pulmonary inflammation caused by various pathogens and remains one of
the leading causes of global mortality. In clinic, chest X-ray (CXR), computed tomography …

Geometry measurement of subsurface cracks in concrete from ultrasonic images

SU Reyaz, S Beniwal - Measurement, 2025 - Elsevier
Geometry measurement of concrete subsurface damage is as crucial as detection and
localization for condition evaluation. Ultrasonic reflection-based imaging can map …

Machine Learning Algorithm Detection of Confluent B-Lines

C Baloescu, AA Rucki, A Chen, M Zahiri… - Ultrasound in Medicine …, 2023 - Elsevier
Objective B-lines are a ring-down artifact of lung ultrasound that arise with increased
alveolar water in conditions such as pulmonary edema and infectious pneumonitis …

Frame-to-video-based Semi-supervised Lung Ultrasound Scoring Model

W **ng, Y Liu, C He, X Liu, Y Li, W Li… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Lung ultrasound (LUS) is a valuable tool for bedside real-time monitoring of critically ill
patients with respiratory diseases. Previous studies primarily focused on LUS frame level …

Artificial intelligence (AI) and lung ultrasound in infectious pulmonary disease

G Trovato, M Russo - Frontiers in Medicine, 2021 - frontiersin.org
Deep Learning algorithms are ready for use and can aid in the interpretation of radiological
findings monitoring change during follow-up. However, the translational approach to …

DUCPS: Deep Unfolding the Cauchy Proximal Splitting Algorithm for B-Lines Quantification in Lung Ultrasound Images

T Yang, O Karakuş, N Anantrasirichai, M Allinovi… - arxiv preprint arxiv …, 2024 - arxiv.org
The identification of artefacts, particularly B-lines, in lung ultrasound (LUS), is crucial for
assisting clinical diagnosis, prompting the development of innovative methodologies. While …

Dubline: a deep unfolding network for B-line detection in lung ultrasound images

T Yang, N Anantrasirichai, O Karakuş… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
In the context of lung ultrasound, the identification of B-lines, which serve as indicators of
interstitial lung disease and pulmonary edema, holds immense significance in clinical …

Domain Knowledge-Enhanced Integrated Model for LUS Video Scoring

Y Liu, W **ng, C He, M Zhao - 2024 IEEE Ultrasonics …, 2024 - ieeexplore.ieee.org
Pneumonia, an acute respiratory infection marked by inflammatory responses typically
manifesting in the alveoli, distal airways, and pulmonary interstitium, poses a substantial risk …

Lightweight Lung Ultrasound Video Analysis Model

W **ng, Z Zhu, Y Liu, C He, Y Li… - 2024 IEEE Ultrasonics …, 2024 - ieeexplore.ieee.org
Ultrasound, as a fast, convenient, non-radiation imaging technology, has been widely used
in lung disease diagnosis and bedside monitoring in clinic. Due to the dynamic changes in …