Xiujian Liu

Orcid: 0000-0002-6198-2453

According to our database1, Xiujian Liu authored at least 17 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
Constraint-Aware Learning for Fractional Flow Reserve Pullback Curve Estimation From Invasive Coronary Imaging.
IEEE Trans. Medical Imaging, December, 2024

Non-Invasive Assessment of Coronary Microvascular Dysfunction Using Vascular Deformation-Based Flow Estimation.
IEEE Trans. Biomed. Eng., October, 2024

Frequency-Enhanced Geometric-Constrained Reconstruction for Localizing Myocardial Infarction in 12-Lead Electrocardiograms.
IEEE Trans. Biomed. Eng., September, 2024

Segmentation-assisted hierarchical constrained state space approach for robust carotid artery wall motion measurement.
Expert Syst. Appl., 2024

Unsupervised physics-informed deep learning for assessing pulmonary artery hemodynamics.
Expert Syst. Appl., 2024

Distraction-aware hierarchical learning for vascular structure segmentation in intravascular ultrasound images.
Comput. Medical Imaging Graph., 2024

Accurate segmentation of liver tumor from multi-modality non-contrast images using a dual-stream multi-level fusion framework.
Comput. Medical Imaging Graph., 2024

Quantification of functional hemodynamics in aortic valve disease using cardiac computed tomography angiography.
Comput. Biol. Medicine, 2024

Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Causal knowledge fusion for 3D cross-modality cardiac image segmentation.
Inf. Fusion, November, 2023

Motion estimation based on projective information disentanglement for 3D reconstruction of rotational coronary angiography.
Comput. Biol. Medicine, May, 2023

A Physics-Guided Deep Learning Approach for Functional Assessment of Cardiovascular Disease in IoT-Based Smart Health.
IEEE Internet Things J., 2023

Conditional Physics-Informed Graph Neural Network for Fractional Flow Reserve Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
A Personalized Pulmonary Circulation Model to Non-Invasively Calculate Fractional Flow Reserve for Artery Stenosis Detection.
IEEE Trans. Biomed. Eng., 2022

Lightweight Compound Scaling Network for Nasopharyngeal Carcinoma Segmentation from MR Images.
Sensors, 2022

CAFS: An Attention-Based Co-Segmentation Semi-Supervised Method for Nasopharyngeal Carcinoma Segmentation.
Sensors, 2022

2021
DCNet: Densely Connected Deep Convolutional Encoder-Decoder Network for Nasopharyngeal Carcinoma Segmentation.
Sensors, 2021


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