Ultrasound is one of the most important examinations for clinical diagnosis of cardiovascular
diseases. The speed of image movements driven by the frequency of the beating heart is …

Echocardiography plays a crucial role in diagnosis of cardiovascular diseases. Artificial
intelligence has emerged as a high-precision tool to automate echocardiographic analysis …

Early detection of malignant lesions could improve both survival and quality of life of cancer
patients. Hyperspectral imaging (HSI) has emerged as a powerful tool for noninvasive …

Cardiac volume/function assessment remains a critical step in daily cardiology, and 3-D
ultrasound plays an increasingly important role. Fully automatic left ventricular segmentation …

The determination of tumor margins during surgical resection remains a challenging task. A
complete removal of malignant tissue and conservation of healthy tissue is important for the …

A major issue in translation of the artificial intelligence platforms for automatic segmentation
of echocardiograms to clinics is their generalizability. The present study introduces and …

As an emerging technology, hyperspectral imaging (HSI) combines both the chemical
specificity of spectroscopy and the spatial resolution of imaging, which may provide a non …

In this study, we propose a novel method incorporating faster region-based convolutional
neural network and active shape model to automatically recognize, segment, and track the …

Accurate segmentation of right ventricle (RV) from cardiac magnetic resonance (MR) images
can help a doctor to robustly quantify the clinical indices including ejection fraction. In this …

Background Existing research demonstrates the association of shorter leukocyte telomere
length with increased risk of age‐related health outcomes including cardiovascular …