Search Results for author:
Found 5 papers, 2 papers with code
Objective dyspnea evaluation on COVID-19 patients learning from exertion-induced dyspnea scores
The objective of this research study is to determine if dyspnea progression in COVID patients can be assessed using a non-invasive wearable sensor and if the findings are comparable to a learning model of physiologically induced dyspnea on healthy subjects.
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction
To address the first issue, we propose adaptive graph scattering, which leverages multiple trainable band-pass graph filters to decompose pose features into richer graph spectrum bands.
Accurate parameter estimation using scan-specific unsupervised deep learning for relaxometry and MR fingerprinting
We propose an unsupervised convolutional neural network (CNN) for relaxation parameter estimation.
Highly Accelerated EPI with Wave Encoding and Multi-shot Simultaneous Multi-Slice Imaging
We introduce wave encoded acquisition and reconstruction techniques for highly accelerated echo planar imaging (EPI) with reduced g-factor penalty and image artifacts.
Multidimensional Information Assisted Deep Learning Realizing Flexible Recognition of Vortex Beam Modes
Recognition of OAM modes unlimited by distance and sign of TC achieved by MIADLFR method can make optical communication and detection by OAM light much more attractive.
Optics Image and Video Processing Medical Physics
