As one of the most important directions in the field of computer vision, facial emotion
recognition plays an important role in people's daily work and life. Human emotion …

Magnetic Resonance Imaging (MRI) is a pivotal clinical diagnostic tool, yet its extended
scanning times often compromise patient comfort and image quality, especially in …

Parallel imaging is the most clinically used acceleration technique for magnetic resonance
imaging (MRI) in part due to its easy inclusion into routine acquisitions. In k-space based …

Magnetic Resonance Imaging (MRI) is a pivotal clinical diagnostic tool, yet its extended
scanning times often compromise patient comfort and image quality, especially in …

In the ImageNet large-scale visual recognition competition 2012, AlexNet showed that a
deep neural network (DNN) could significantly improve the performance of an image …

In accelerated MRI, the robust artificial-neural-network for k-space interpolation (RAKI)
method is an attractive learning-based reconstruction that does not require additional …

Purpose To evaluate an iterative learning approach for enhanced performance of robust
artificial‐neural‐networks for k‐space interpolation (RAKI), when only a limited amount of …

Herein, we propose a novel model-based simultaneous multi-slice (SMS) reconstruction
method by exploiting data-driven parameter modeling for highly accelerated T1 parameter …

Convolutional neural networks have made admirable progress in computer vision. As a fast-
growing computer field, CNNs are one of the classical and widely used network structures …

With the development of film and television industry and the rise of new media short video,
film and television postproduction process has higher and higher requirements for image …