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07/16/2023
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning
Goal-conditioned reinforcement learning (RL) is an interesting extension...
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06/27/2023
Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction
Emerging neural reconstruction techniques based on tomography (e.g., NeR...
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02/20/2023
Railway Virtual Coupling: A Survey of Emerging Control Techniques
This paper provides a systematic review of emerging control techniques u...
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12/31/2022
Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction
Supervised Deep-Learning (DL)-based reconstruction algorithms have shown...
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10/23/2022
Joint Rigid Motion Correction and Sparse-View CT via Self-Calibrating Neural Field
Neural Radiance Field (NeRF) has widely received attention in Sparse-Vie...
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10/19/2022
A scan-specific unsupervised method for parallel MRI reconstruction via implicit neural representation
Parallel imaging is a widely-used technique to accelerate magnetic reson...
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09/14/2022
Continuous longitudinal fetus brain atlas construction via implicit neural representation
Longitudinal fetal brain atlas is a powerful tool for understanding and ...
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09/14/2022
Noise2SR: Learning to Denoise from Super-Resolved Single Noisy Fluorescence Image
Fluorescence microscopy is a key driver to promote discoveries of biomed...
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09/12/2022
Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography
In the present work, we propose a Self-supervised COordinate Projection ...
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10/27/2021
An Arbitrary Scale Super-Resolution Approach for 3-Dimensional Magnetic Resonance Image using Implicit Neural Representation
High Resolution (HR) medical images provide rich anatomical structure de...
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06/29/2021
IREM: High-Resolution Magnetic Resonance (MR) Image Reconstruction via Implicit Neural Representation
For collecting high-quality high-resolution (HR) MR image, we propose a ...
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12/24/2020
Wheel-Rail Interface Condition Estimation (W-RICE)
The surface roughness between the wheel and rail has a huge influence on...
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10/26/2019
Cross-Channel Intragroup Sparsity Neural Network
Modern deep neural network models generally build upon heavy over-parame...
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08/14/2019
Adabot: Fault-Tolerant Java Decompiler
Reverse Engineering(RE) has been a fundamental task in software engineer...
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06/22/2018
Shape-from-Mask: A Deep Learning Based Human Body Shape Reconstruction from Binary Mask Images
3D content creation is referred to as one of the most fundamental tasks ...
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08/03/2017
Testing as an Investment
Software testing is an expensive and important task. Plenty of researche...
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05/27/2017
A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks
Some recent works revealed that deep neural networks (DNNs) are vulnerab...
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03/03/2017
Generative Poisoning Attack Method Against Neural Networks
Poisoning attack is identified as a severe security threat to machine le...
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04/03/2016
