Xiaowu Sun
Orcid: 0000-0002-9216-0866
According to our database1,
Xiaowu Sun authored at least 26 papers
between 2014 and 2026.
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Bibliography
2026
ODySSeI: An Open-Source End-to-End Framework for Automated Detection, Segmentation, and Severity Estimation of Lesions in Invasive Coronary Angiography Images.
CoRR, March, 2026
Extreme cardiac MRI analysis under respiratory motion: Results of the CMRxMotion challenge.
Medical Image Anal., 2026
Future cardiovascular events prediction from invasive coronary angiography: A graph representation learning perspective.
Medical Image Anal., 2026
Semi-Supervised Learning for Congenital Heart Disease Prediction in Fetal Echocardiography.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026
Shared-Weight Segmentation with Mask-Conditioned Risk Classification for Carotid Ultrasound.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026
2025
Physics-informed self-supervised learning for predictive modeling of coronary artery digital twins.
CoRR, December, 2025
Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge.
CoRR, July, 2025
CM-UNet: A Self-Supervised Learning-Based Model for Coronary Artery Segmentation in X-Ray Angiography.
CoRR, July, 2025
Three-Dimensional Image Reconstruction of Breast Tumor by Electrical Impedance Tomography Based on Dimensional Grey Wolf Optimization Algorithm.
IEEE Trans. Instrum. Meas., 2025
2024
IEEE Trans. Robotics, 2024
Graph Neural Network based Future Clinical Events Prediction from Invasive Coronary Angiography.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.
IEEE J. Biomed. Health Informatics, July, 2023
2022
PhD thesis, 2022
Combination Special Data Augmentation and Sampling Inspection Network for Cardiac Magnetic Resonance Imaging Quality Classification.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
NNSynth: Neural Network Guided Abstraction-Based Controller Synthesis for Stochastic Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
CoRR, 2021
Right Ventricle Segmentation via Registration and Multi-input Modalities in Cardiac Magnetic Resonance Imaging from Multi-disease, Multi-view and Multi-center.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
Provably Safe Model-Based Meta Reinforcement Learning: An Abstraction-Based Approach.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
ACM Trans. Archit. Code Optim., 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the 22nd ACM International Conference on Hybrid Systems: Computation and Control, 2019
2018
A Method for Predicting Protein Complexes from Dynamic Weighted Protein-Protein Interaction Networks.
J. Comput. Biol., 2018
2014
Using electronic health record data to develop inpatient mortality predictive model: Acute Laboratory Risk of Mortality Score (ALaRMS).
J. Am. Medical Informatics Assoc., 2014