Wavelet transform (WT) is a commonly used method for noise suppression and feature
extraction from biomedical images. The selection of WT system settings significantly affects …

Accurate measurement of blood flow velocity is important for the prevention and early
diagnosis of atherosclerosis. However, due to the uncertainty of parameter settings, the …

Coronary microperfusion assessment is a key parameter for understanding cardiac function.
Currently, coronary ultrafast Doppler angiography is the only non-invasive clinical imaging …

The pulsed-Doppler effect is the main technique used in clinical echography to assess blood
flow. Applied with conventional focused ultrasound Doppler modes, it has several limits …

Microwave ablation (MWA) is a potent cancer treatment tool, but its effectiveness can be
hindered by the lack of visual feedback. This paper validates the feasibility of using …

Abstract Background and Objective: With the development of advanced clutter-filtering
techniques by singular value decomposition (SVD) and leveraging favorable acquisition …

Foreground object identification can be considered as anomaly detection in a redundant
background. This paper proposes unsupervised deep learning of foreground objects on the …

This paper proposes a simple approach to unsupervised deep learning for foreground
object segmentation. Robust principal component analysis (RPCA) can achieve background …

To discover the spatial–temporal patterns of sea surface temperature (SST) in the South
China Sea (SCS), this paper proposes a spatial–temporal co-clustering algorithm optimized …

Effective clutter filtering is crucial in suppressing tissue clutter and extracting blood flow
signal in Doppler ultrasound. Recent advances in eigen-based clutter filtering techniques …