Ultrasound elastography (USE) provides complementary information of tissue stiffness and
elasticity to conventional ultrasound imaging. It is noninvasive and free of radiation, and has …

To develop diagnostic imaging approaches, this paper emphasizes the transformational
potential of merging geophysics with health sciences. Diagnostic imaging technology …

Purpose Liver biopsy was considered the gold standard for diagnosing liver fibrosis;
however, with advancements in medical technology and increasing awareness of potential …

Sentinel lymph node metastasis (SLNM) is a crucial predictor for breast cancer treatment
and survival. This study was designed to propose deep learning (DL) models based on …

Ultrasound elastography is a non-invasive medical imaging technique that maps
viscoelastic properties to characterize tissues and diseases. Elastography can be divided …

Ultrasound elastography (USE) is a promising tool for tissue characterization as several
diseases result in alterations of tissue structure and composition, which manifest as changes …

Abstract Background and Purpose: This study investigates the application of deep learning
in the early detection and risk assessment of gastroesophageal varices (GOV), focusing on …

In quasi-static ultrasound elastography, breast tumor classification can be performed by
using the rotation fill-in signature present in the rotation elastogram. This rotation fill-in …

Targeted ultrasound molecular probes are the core technology of ultrasound molecular
imaging, which connect molecular specific antibodies or ligands of the target tissue to the …

In this work, we study and present spatio-temporal deep learning methods for analyzing
medical image sequences. We focus on two application scenarios, motion analysis and …