Xiaoru Gao

Orcid: 0000-0002-4662-9045

According to our database1, Xiaoru Gao authored at least 11 papers between 2021 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Incremental regression of localization context for automatic segmentation of ossified ligamentum flavum from CT data.
Int. J. Comput. Assist. Radiol. Surg., September, 2024

MAIRNet: weakly supervised anatomy-aware multimodal articulated image registration network.
Int. J. Comput. Assist. Radiol. Surg., March, 2024

SMILE: Siamese Multi-scale Interactive-representation LEarning for Hierarchical Diffeomorphic Deformable image registration.
Comput. Medical Imaging Graph., January, 2024

2023
Corporate Relative Valuation Using Heterogeneous Multi-Modal Graph Neural Network.
IEEE Trans. Knowl. Data Eng., 2023

2022
ACSGRegNet: A Deep Learning-based Framework for Unsupervised Joint Affine and Diffeomorphic Registration of Lumbar Spine CT via Cross- and Self-Attention Fusion.
CoRR, 2022

Joint Lymphoma Lesion Segmentation and Prognosis Prediction From Baseline FDG-PET Images via Multitask Convolutional Neural Networks.
IEEE Access, 2022

DOMFN: A Divergence-Orientated Multi-Modal Fusion Network for Resume Assessment.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

BIDMIR: Bi-Directional Medical Image Registration with Symmetric Attention and Cyclic Consistency Regularization.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Role of 5G network technology and artificial intelligence for research and reform of english situational teaching in higher vocational colleges.
J. Intell. Fuzzy Syst., 2021

2D/3D Registration with a Statistical Deformation Model Prior Using Deep Learning.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

DeepASDM: a Deep Learning Framework for Affine and Deformable Image Registration Incorporating a Statistical Deformation Model.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021


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