Convolutional neural networks perform impressively in complicated computer-vision image-
segmentation tasks. Vision-based systems surpass humans in speed and accuracy in …

Accurate visualization of liver tumors and their surrounding blood vessels is essential for
noninvasive diagnosis and prognosis prediction of tumors. In medical image segmentation …

Liver plays an important role in metabolic processes, therefore fast diagnosis and potential
surgical planning is essential in case of any disease. The automatic liver segmentation …

Deformable image registration is an essential component of medical image analysis and
plays an irreplaceable role in clinical practice. In recent years, deep learning-based …

Coronary calcification is a strong indicator of coronary artery disease and a key determinant
of the outcome of percutaneous coronary intervention. We propose a fully automated …

Purpose: Selective internal radiation therapy (SIRT) has been proven to be an effective
treatment for hepatocellular carcinoma (HCC) patients. In clinical practice, the treatment …

In the recognition of pulmonary embolism, the accuracy of pulmonary artery segmentation
plays a key role. Due to the irregular shape of pulmonary artery and the complex adjacent …

Purpose The thrombus in the false lumen (FL) of aortic dissection (AD) patients is a
meaningful indicator to determine aortic remodeling but difficult to measure in clinic. In this …

In the three-dimensional reconstruction of the pulmonary artery and the identification of
pulmonary embolism, experts find it difficult to accurately estimate the severity of the …

When conducting spine-related diagnosis and surgery, the three-dimensional (3D) upright
posture of the spine under natural weight bearing is of significant clinical value for …