Real-world data processing problems often involve various image modalities associated with
a certain scene, including RGB images, infrared images, or multispectral images. The fact …

After the promotion of urbanization in the past decades, air pollution has become one of the
bottlenecks of China's urban development. Kinds of real-time air pollution indicators are …

Magnetic resonance (MR) imaging tasks often involve multiple contrasts, such as T1-weighted,
T2-weighted and fluid-attenuated inversion recovery (FLAIR) data. These contrasts …

With the rapid economic growth and water consumption, the study on measuring the
environmental efficiency of water use and wastewater emission has attracted increasing attention. …

Purpose Magnetic resonance fingerprinting (MRF) methods typically rely on dictionary
matching to map the temporal MRF signals to quantitative tissue parameters. Such approaches …

Significance: Light-field microscopy (LFM) enables high signal-to-noise ratio (SNR) and
light efficient volume imaging at fast frame rates. Voltage imaging with genetically encoded …

In this paper we intend to check the performance of Peer-to-Peer online lending platforms in
China. Different from commercial banks, Peer-to-Peer (P2P) platforms’ business process is …

Light-field microscopy (LFM) is a type of all-optical imaging system that is able to capture 4D
geometric information of light rays and can reconstruct a 3D model from a single snapshot. …

Understanding how networks of neurons process information is one of the key challenges in
modern neuroscience. A necessary step to achieving this goal is to be able to observe the …

Depth image super-resolution is a challenging problem, since normally high upscaling
factors are required (eg, 16×), and depth images are often noisy. In order to achieve large …