Xutao Guo

According to our database, Xutao Guo authored at least 28 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation.

Jiesi Hu, Yanwu Yang, Xutao Guo, Ting Ma, Jinghua Wang

IEEE J. Biomed. Health Informatics, September, 2024

Mapping Multi-Modal Brain Connectome for Brain Disorder Diagnosis via Cross-Modal Mutual Learning.

Yanwu Yang, Chenfei Ye, Xutao Guo, Tao Wu, Yang Xiang, Heather Ting Ma

IEEE Trans. Medical Imaging, January, 2024

Accelerating denoising diffusion probabilistic model via truncated inverse processes for medical image segmentation.

Xutao Guo, Yang Xiang, Yanwu Yang, Chenfei Ye, Yue Yu, Heather Ting Ma

Comput. Biol. Medicine, 2024

Advancing Brain Imaging Analysis Step-by-Step via Progressive Self-paced Learning.

Yanwu Yang, Hairui Chen, Jiesi Hu, Xutao Guo, Ting Ma

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Topology-Regularized Self-Knowledge Distillation for Transductive-Inductive Learning of Brain Disorder Diagnosis.

Yanwu Yang, Xutao Guo, Guoqing Cai, Chenfei Ye, Ting Ma

Proceedings of the IEEE International Conference on Acoustics, 2024

CALSeg: Improving Calibration of Medical Image Segmentation Via Variational Label Smoothing.

Xutao Guo, Yanwu Yang, Chenfei Ye, Guoqing Cai, Ting Ma

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

CReg-KD: Model refinement via confidence regularized knowledge distillation for brain imaging.

Yanwu Yang, Xutao Guo, Chenfei Ye, Yang Xiang, Ting Ma

Medical Image Anal., October, 2023

NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation.

Pengcheng Shi, Xutao Guo, Yanwu Yang, Chenfei Ye, Heather Ting Ma

CoRR, 2023

DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating Features.

Jiesi Hu, Yanwu Yang, Xutao Guo, Ting Ma

CoRR, 2023

DECOR-Net: A Covid-19 Lung Infection Segmentation Network Improved by Emphasizing Low-Level Features and Decorrelating Features.

Jiesi Hu, Yanwu Yang, Xutao Guo, Bo Peng, Hua Huang, Ting Ma

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Accelerating Diffusion Models Via Pre-Segmentation Diffusion Sampling for Medical Image Segmentation.

Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Bo Peng, Hua Huang, Yang Xiang, Ting Ma

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.

Xutao Guo, Pengcheng Shi, Shang Lu, Chenfei Ye, Ting Ma

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation.

Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Yang Xiang, Ting Ma

CoRR, 2022

Regularizing Brain Age Prediction via Gated Knowledge Distillation.

Yanwu Yang, Xutao Guo, Chenfei Ye, Yang Xiang, Ting Ma

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Estimating Brain Age with Global and Local Dependencies.

Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang, Haiyan Lv, Ting Ma

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.

Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang, Ting Ma

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Modeling Annotator Variation and Annotator Preference for Multiple Annotations Medical Image Segmentation.

Xutao Guo, Shang Lu, Yanwu Yang, Pengcheng Shi, Chenfei Ye, Yang Xiang, Ting Ma

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.

Li Liang, PengZheng Zhou, Wanxin Lu, Xutao Guo, Chenfei Ye, Haiyan Lv, Tong Wang, Ting Ma

Comput. Medical Imaging Graph., 2021

FS-Net: A New Paradigm of Data Expansion for Medical Image Segmentation.

Xutao Guo, Yanwu Yang, Ting Ma

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net.

Yanwu Yang, Xutao Guo, Yiwei Pan, Pengcheng Shi, Haiyan Lv, Ting Ma

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.

Yanwu Yang, Xutao Guo, Na Gao, Chenfei Ye, Heather T. Ma

Proceedings of the ICCAI '20: 2020 6th International Conference on Computing and Artificial Intelligence, 2020

Automatic Brain Mask Segmentation for Mono-modal MRI.

Yanwu Yang, Chenfei Ye, Xutao Guo, Chushu Yang, Heather T. Ma

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.

PengZheng Zhou, Li Liang, Xutao Guo, Haiyan Lv, Tong Wang, Ting Ma

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.

Chushu Yang, Xutao Guo, Tong Wang, Yanwu Yang, Nan Ji, Deling Li, Haiyan Lv, Ting Ma

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Brain Tumor Segmentation Based on Attention Mechanism and Multi-model Fusion.

Xutao Guo, Chushu Yang, Ting Ma, PengZheng Zhou, Shangfeng Lu, Nan Ji, Deling Li, Tong Wang, Haiyan Lv

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

SeFM: A Sequential Feature Point Matching Algorithm for Object 3D Reconstruction.

Zhihao Fang, Xutao Guo, Xuemin Zhu, Ruixin Zhou, He Ma

CoRR, 2018

2017

Analysis on Impact of Frequency Diverse Array Channel Errors on Beam Forming.

Qingxiang Zhang, Xutao Guo, Wei Wang

Proceedings of the Communications, Signal Processing, and Systems, 2017

Frequency Diverse Array Radar Beamforming Algorithm Based on FFT.

Xutao Guo, Qingxiang Zhang, Wei Wang

Proceedings of the Communications, Signal Processing, and Systems, 2017