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08/30/2023
Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation
In the field of parallel imaging (PI), alongside image-domain regulariza...
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06/22/2023
RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness
Neural networks are typically sensitive to small input perturbations, le...
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05/04/2023
Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI
Magnetic resonance imaging (MRI) is known to have reduced signal-to-nois...
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04/11/2023
SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI
Diffusion models are a leading method for image generation and have been...
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03/08/2023
Energetic Analysis on the Optimal Bounding Gaits of Quadrupedal Robots
It is often overlooked by roboticists when designing locomotion controll...
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11/24/2022
Deep unfolding as iterative regularization for imaging inverse problems
Recently, deep unfolding methods that guide the design of deep neural ne...
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11/22/2022
Practice Makes Perfect: an iterative approach to achieve precise tracking for legged robots
Precise trajectory tracking for legged robots can be challenging due to ...
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09/02/2022
Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction
Recently, score-based diffusion models have shown satisfactory performan...
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09/02/2022
Using Case Description Information to Reduce Sensitivity to Bias for the Attributable Fraction Among the Exposed
The attributable fraction among the exposed (AF_e), also known as the at...
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08/15/2022
One-shot Generative Prior Learned from Hankel-k-space for Parallel Imaging Reconstruction
Magnetic resonance imaging serves as an essential tool for clinical diag...
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08/11/2022
K-UNN: k-Space Interpolation With Untrained Neural Network
Recently, untrained neural networks (UNNs) have shown satisfactory perfo...
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07/11/2022
Robust Beamforming Design for IRS-Aided URLLC in D2D Networks
Intelligent reflecting surface (IRS) and device-to-device (D2D) communic...
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12/18/2021
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI
Recently, model-driven deep learning unrolls a certain iterative algorit...
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11/26/2021
RIS-aided D2D Communication Design for URLLC Packet Delivery
In this paper, we consider a smart factory scenario where a set of actua...
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06/10/2021
Lifting The Grey Curtain: A First Look at the Ecosystem of CULPRITWARE
Mobile apps are extensively involved in cyber-crimes. Some apps are malw...
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06/04/2021
Relay Selection and Resource Allocation for Ultra-Reliable Uplink Transmission in Smart Factory Scenarios
In this paper, a relay-aided two-phase transmission protocol for the sma...
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06/04/2021
Robust Resource Allocation for Multi-Antenna URLLC-OFDMA Systems in a Smart Factory
In this paper, we investigate the worst-case robust beamforming design a...
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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...
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03/11/2021
Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multiple Data Sources
Air pollution has altered the Earth radiation balance, disturbed the eco...
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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...
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06/22/2020
Deep Low-rank Prior in Dynamic MR Imaging
The deep learning methods have achieved attractive results in dynamic MR...
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02/09/2020
Robust URLLC Packet Scheduling of OFDM Systems
In this paper, we consider the power minimization problem of joint physi...
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12/20/2019
An Unsupervised Deep Learning Method for Parallel Cardiac MRI via Time-Interleaved Sampling
Deep learning has achieved good success in cardiac magnetic resonance im...
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08/07/2019
Model Learning: Primal Dual Networks for Fast MR imaging
Magnetic resonance imaging (MRI) is known to be a slow imaging modality ...
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07/26/2019
Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural Networks
Image reconstruction from undersampled k-space data has been playing an ...
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06/19/2019