Xutao Guo
Orcid: 0000-0003-1953-3272
According to our database1,
Xutao Guo
authored at least 24 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Mapping Multi-Modal Brain Connectome for Brain Disorder Diagnosis via Cross-Modal Mutual Learning.
IEEE Trans. Medical Imaging, January, 2024
2023
CReg-KD: Model refinement via confidence regularized knowledge distillation for brain imaging.
Medical Image Anal., October, 2023
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation.
CoRR, 2023
DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating Features.
CoRR, 2023
DECOR-Net: A Covid-19 Lung Infection Segmentation Network Improved by Emphasizing Low-Level Features and Decorrelating Features.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Accelerating Diffusion Models Via Pre-Segmentation Diffusion Sampling for Medical Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Joint Learning Annotator Calibration and Annotator Preference for Multiple Annotations Optic Disc and Cup Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation.
CoRR, 2022
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Modeling Annotator Variation and Annotator Preference for Multiple Annotations Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
An anatomical knowledge-based MRI deep learning pipeline for white matter hyperintensity quantification associated with cognitive impairment.
Comput. Medical Imaging Graph., 2021
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
An Automatic Encoding and Decoding Method for Differentiating Alzheimer's Disease with Functional MRI.
Proceedings of the ICCAI '20: 2020 6th International Conference on Computing and Artificial Intelligence, 2020
Proceedings of the ICBBB 2020: 10th International Conference on Bioscience, 2020
U-net combined with CRF and anatomical based spatial features to segment white matter hyperintensities.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Automatic Brain Tumor Segmentation Method Based on Modified Convolutional Neural Network.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
CoRR, 2018
2017
Proceedings of the Communications, Signal Processing, and Systems, 2017
Proceedings of the Communications, Signal Processing, and Systems, 2017