Skull segmentation is a common objective of many medical imaging studies, as it is usually the first step in processing pipelines and plays a crucial role in various diagnostic solutions. Among them, ...

Wireless sensing of the wave propagation direction from radio sources lays the foundation for communication, radar, navigation, etc. However, the existing signal processing paradigm for the direction ...

In Python, the super() function is used to call a method from a parent class within a subclass. When a subclass inherits from a parent class, it can also inherit the methods and attributes of the ...

As an HVAC engineer, you're likely familiar with the DesignBuilder software, which is widely used for designing and simulating energy-efficient buildings. However, one limitation of the software is ...

Featured by a bottleneck structure, autoencoder (AE) and its variants have been largely applied in various medical image analysis tasks, such as segmentation, reconstruction and de-noising. Despite of ...

Abstract: Due to severe information loss of low-resolution images, the development of single-image super-resolution methods is limited. Recently, the reference-based image super-resolution methods, ...

This paper focuses on improving the spatial resolution of the hyperspectral image (HSI) by taking the prior information into consideration. In recent years, single HSI super-resolution methods based ...

Single-molecule super-resolution microscopy (SMLM) techniques like dSTORM can reveal biological structures down to the nanometer scale. The achievable resolution is not only defined by the ...

Abstract: In this paper, we propose a novel reference based image super-resolution approach via Variational AutoEncoder (RefVAE). Existing state-of-the-art methods mainly focus on single image ...