Xiao Chen

Orcid: 0000-0002-7147-7311

Affiliations:
  • United Imaging Intelligence, Cambridge, MA, USA
  • Siemens Healthineers, Digital Technology and Innovation, Princeton, NJ, USA
  • Siemens Healthcare, Medical Imaging Technologies, Princeton, NJ, USA
  • University of Virginia, Charlottesville, VA, USA (PhD 2014)


According to our database1, Xiao Chen authored at least 28 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Federated Data Model.
CoRR, 2024

Clinically Feasible Diffusion Reconstruction for Highly-Accelerated Cardiac Cine MRI.
CoRR, 2024

2023
Dynamic MLP for MRI Reconstruction.
CoRR, 2023

Holistic Multi-Slice Framework for Dynamic Simultaneous Multi-Slice MRI Reconstruction.
CoRR, 2023

Computationally Efficient 3D MRI Reconstruction with Adaptive MLP.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Enhancing Cardiac MRI Segmentation via Classifier-Guided Two-Stage Network and All-Slice Information Fusion Transformer.
Proceedings of the Applications of Medical Artificial Intelligence, 2023

An Unsupervised Framework for Joint MRI Super Resolution and Gibbs Artifact Removal.
Proceedings of the Information Processing in Medical Imaging, 2023

2022
Pyramid Convolutional RNN for MRI Image Reconstruction.
IEEE Trans. Medical Imaging, 2022

Output Feedback-Based Neural Adaptive Finite-Time Containment Control of Non-Strict Feedback Nonlinear Multi-Agent Systems.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRI.
CoRR, 2022

Deep Statistic Shape Model for Myocardium Segmentation.
CoRR, 2022

Invertible Sharpening Network for MRI Reconstruction Enhancement.
CoRR, 2022

Invertible Sharpening Network for MRI Reconstruction Enhancement.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Robust Landmark-Based Stent Tracking in X-ray Fluoroscopy.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Observer-Based Finite-Time Attitude Containment Control of Multiple Spacecraft Systems.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

Accelerating 3D MULTIPLEX MRI Reconstruction with Deep Learning.
CoRR, 2021

Cardiac Functional Analysis with Cine MRI via Deep Learning Reconstruction.
CoRR, 2021

Multi-scale Neural ODEs for 3D Medical Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021


2020
Adaptive neural finite-time bipartite consensus tracking of nonstrict feedback nonlinear coopetition multi-agent systems with input saturation.
Neurocomputing, 2020

Real-Time Cardiac Cine MRI with Residual Convolutional Recurrent Neural Network.
CoRR, 2020

Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Anatomy-Aware Cardiac Motion Estimation.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Braided Networks for Scan-Aware MRI Brain Tissue Segmentation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Brain Segmentation from k-Space with End-to-End Recurrent Attention Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
End-to-end Segmentation with Recurrent Attention Neural Network.
CoRR, 2018

2016
Learning a multiscale patch-based representation for image denoising in X-RAY fluoroscopy.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016


  Loading...