Xiangyu Zhao
Orcid: 0000-0002-5269-3182Affiliations:
- Monash University, Melbourne, VIC, Australia
- Shanghai Jiao Tong University, School of Biomedical Engineering, Shanghai, China (2021-2024)
According to our database1,
Xiangyu Zhao
authored at least 26 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
-
on github.com
On csauthors.net:
Bibliography
2025
Exploring Multiconnectivity and Subdivision Functions of Brain Network via Heterogeneous Graph Network for Cognitive Disorder Identification.
IEEE Trans. Neural Networks Learn. Syst., July, 2025
AASeg: Artery-Aware Global-to-Local Framework for Aneurysm Segmentation in Head and Neck CTA Images.
IEEE Trans. Medical Imaging, March, 2025
REHRSeg: Unleashing the power of self-supervised super-resolution for resource-efficient 3D MRI segmentation.
Neurocomputing, 2025
Uni-COAL: A unified framework for cross-modality synthesis and super-resolution of MR images.
Expert Syst. Appl., 2025
Comput. Biol. Medicine, 2025
2024
RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, January, 2024
Distillation of multi-class cervical lesion cell detection via synthesis-aided pre-training and patch-level feature alignment.
Neural Networks, 2024
Spatial attention-based implicit neural representation for arbitrary reduction of MRI slice spacing.
Medical Image Anal., 2024
sTBI-GAN: An adversarial learning approach for data synthesis on traumatic brain segmentation.
Comput. Medical Imaging Graph., 2024
Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Enhanced brain parcellation via abnormality inpainting for neuroimage-based consciousness evaluation of hydrocephalus patients by lumbar drainage.
Brain Informatics, December, 2023
CoRR, 2023
Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR Images.
CoRR, 2023
AdLER: Adversarial Training with Label Error Rectification for One-Shot Medical Image Segmentation.
CoRR, 2023
CT-based Subchondral Bone Microstructural Analysis in Knee Osteoarthritis via MR-Guided Distillation Learning.
CoRR, 2023
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Alias-Free Co-modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Robust Cervical Abnormal Cell Detection via Distillation from Local-Scale Consistency Refinement.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
IEEE Trans. Medical Imaging, 2022
TBI-GAN: An Adversarial Learning Approach for Data Synthesis on Traumatic Brain Segmentation.
CoRR, 2022
2021
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention Mechanism.
CoRR, 2021
D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution.
Comput. Biol. Medicine, 2021