Yibin Xie

Orcid: 0009-0002-9973-9480

According to our database1, Yibin Xie authored at least 12 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Roadside IRS Assisted Task Offloading in Vehicular Edge Computing Network.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023

2022
Alleviating the attribute conditional independence and I.I.D. assumptions of averaged one-dependence estimator by double weighting.
Knowl. Based Syst., 2022

Segmentation of Pancreatic Subregions in Computed Tomography Images.
J. Imaging, 2022

FedRNN: Federated Learning with RNN-Based Aggregation on Pancreas Segmentation.
Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2022

Data-Consistent Non-Cartesian Deep Subspace Learning for Efficient Dynamic MR Image Reconstruction.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network.
IEEE Trans. Medical Imaging, 2021

2020
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network.
CoRR, 2020

MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better.
CoRR, 2020

2019
Deep Learning Within a Priori Temporal Feature Spaces for Large-Scale Dynamic MR Image Reconstruction: Application to 5-D Cardiac MR Multitasking.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Calcium removal from cardiac ct images using deep convolutional neural network.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Brain MRI super resolution using 3D deep densely connected neural networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018


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