Quantification of cerebral white matter hyperintensities (WMH) of presumed vascular origin
is of key importance in many neurological research studies. Currently, measurements are …

Abstract Knowledge of whole heart anatomy is a prerequisite for many clinical applications.
Whole heart segmentation (WHS), which delineates substructures of the heart, can be very …

Accurate segmentation of infant brain magnetic resonance (MR) images into white matter (WM),
gray matter (GM), and cerebrospinal fluid is an indispensable foundation for early …

Plant-derived biomass adhesives are increasingly in demand to replace traditional non-biodegradable
petrochemical materials. However, the insufficient mechanical strengths and poor …

This paper addresses the problem of segmentation of proximal femur in 3D MR images. We
propose a deeply supervised 3D U-net-like fully convolutional network for segmentation of …

We present a method to address the challenging problem of segmentation of lumbar vertebrae
from CT images acquired with varying fields of view. Our method is based on cascaded …

With the increasing attention to environmental concern, the reduction of fossil energy source
and the demand of actual industrial production, there was strong demand to develop green, …

Objective Quantitative PET/MR imaging is challenged by the accuracy of synthetic CT (sCT)
generation from MR images. Deep learning-based algorithms have recently gained …

Conventional covalent crosslinked protein adhesives are brittle and cannot be reprocessed
effectively, which restricts their practical application and limits the recyclability of wood-…

Soybean protein (SP)-based adhesives present low adhesive strength, poor water resistance
and low mildew resistance, which generally limit their practical industrial applications. …