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06/05/2023
DAGrid: Directed Accumulator Grid
Recent research highlights that the Directed Accumulator (DA), through i...
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05/05/2023
Physics-based network fine-tuning for robust quantitative susceptibility mapping from high-pass filtered phase
Purpose: To improve the generalization ability of convolutional neural n...
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03/15/2023
DeDA: Deep Directed Accumulator
Chronic active multiple sclerosis lesions, also termed as rim+ lesions, ...
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01/19/2023
Spatially Covariant Lesion Segmentation
Compared to natural images, medical images usually show stronger visual ...
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11/01/2022
LARO: Learned Acquisition and Reconstruction Optimization to accelerate Quantitative Susceptibility Mapping
Quantitative susceptibility mapping (QSM) involves acquisition and recon...
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05/04/2021
Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network
An approach to reduce motion artifacts in Quantitative Susceptibility Ma...
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03/06/2021
NeRD: Neural Representation of Distribution for Medical Image Segmentation
We introduce Neural Representation of Distribution (NeRD) technique, a m...
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09/29/2020
Geometric Loss for Deep Multiple Sclerosis lesion Segmentation
Multiple sclerosis (MS) lesions occupy a small fraction of the brain vol...
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09/13/2020
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation
Recently, 3D medical image reconstruction (MIR) and segmentation (MIS) b...
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07/28/2020
Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI
The previously established LOUPE (Learning-based Optimization of the Und...
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07/16/2020
Transfer Deep Reinforcement Learning-enabled Energy Management Strategy for Hybrid Tracked Vehicle
This paper proposes an adaptive energy management strategy for hybrid el...
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07/16/2020
Reinforcement Learning-Enabled Decision-Making Strategies for a Vehicle-Cyber-Physical-System in Connected Environment
As a typical vehicle-cyber-physical-system (V-CPS), connected automated ...
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07/16/2020
Human-like Energy Management Based on Deep Reinforcement Learning and Historical Driving Experiences
Development of hybrid electric vehicles depends on an advanced and effic...
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04/27/2020
EM-GAN: Fast Stress Analysis for Multi-Segment Interconnect Using Generative Adversarial Networks
In this paper, we propose a fast transient hydrostatic stress analysis f...
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02/27/2020
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation
Brain lesion volume measured on T2 weighted MRI images is a clinically i...
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12/15/2017