research
∙
08/17/2023
ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space
Motion-resolved reconstruction for abdominal magnetic resonance imaging ...
share
research
∙
07/24/2023
Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling
In dynamic Magnetic Resonance Imaging (MRI), k-space is typically unders...
research
∙
02/05/2023
Reconstruction-driven motion estimation for motion-compensated MR CINE imaging
In cardiac CINE, motion-compensated MR reconstruction (MCMR) is an effec...
research
∙
12/16/2022
Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging
In this work, we propose a novel image reconstruction framework that dir...
research
∙
03/30/2022
One-Step Two-Critic Deep Reinforcement Learning for Inverter-based Volt-Var Control in Active Distribution Networks
A one-step two-critic deep reinforcement learning (OSTC-DRL) approach fo...
research
∙
12/18/2021
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI
Recently, model-driven deep learning unrolls a certain iterative algorit...
research
∙
05/07/2021
A Multivariate Density Forecast Approach for Online Power System Security Assessment
A multivariate density forecast model based on deep learning is designed...
research
∙
04/13/2021
SRR-Net: A Super-Resolution-Involved Reconstruction Method for High Resolution MR Imaging
Improving the image resolution and acquisition speed of magnetic resonan...
research
∙
10/26/2020
Deep Low-rank plus Sparse Network for Dynamic MR Imaging
In dynamic MR imaging, L+S decomposition, or robust PCA equivalently, ha...
research
∙
06/22/2020
Deep Low-rank Prior in Dynamic MR Imaging
The deep learning methods have achieved attractive results in dynamic MR...
research
∙
06/29/2014
Fusion Based Holistic Road Scene Understanding
This paper addresses the problem of holistic road scene understanding ba...
research
∙
06/04/2013