Shunbo Hu

According to our database, Shunbo Hu authored at least 29 papers between 2012 and 2024.

Collaborative distances:

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

2024

Efficient Brain Tumor Segmentation with Lightweight Separable Spatial Convolutional Network.

Hao Zhang, Meng Liu, Yuan Qi, Ning Yang, Shunbo Hu, Liqiang Nie, Wenyin Zhang

ACM Trans. Multim. Comput. Commun. Appl., July, 2024

RClaNet: An Explainable Alzheimer's Disease Diagnosis Framework by Joint Registration and Classification.

Liang Wu, Shunbo Hu, Duanwei Wang, Changchun Liu, Li Wang

IEEE J. Biomed. Health Informatics, April, 2024

MV-STCNet: Breast cancer diagnosis using spatial and temporal dual-attention guided classification network based on multi-view ultrasound videos.

Dezhuang Kong, Shunbo Hu, Guojia Zhao

Biomed. Signal Process. Control., January, 2024

Dual-Attention Frequency Fusion at Multi-Scale for Joint Segmentation and Deformable Medical Image Registration.

Hongchao Zhou, Shunbo Hu

CoRR, 2024

Deformable Image Registration with Multi-scale Feature Fusion from Shared Encoder, Auxiliary and Pyramid Decoders.

Hongchao Zhou, Shunbo Hu

CoRR, 2024

IMFF-Net: An integrated multi-scale feature fusion network for accurate retinal vessel segmentation from fundus images.

Mingtao Liu, Yunyu Wang, Lei Wang, Shunbo Hu, Xing Wang, Qingman Ge

Biomed. Signal Process. Control., 2024

2023

The Successive Next Network as Augmented Regularization for Deformable Brain MR Image Registration.

Meng Li, Shunbo Hu, Guoqiang Li, Fuchun Zhang, Jitao Li, Yue Yang, Lintao Zhang, Mingtao Liu, Yan Xu, Deqian Fu, Wenyin Zhang, Xing Wang

Sensors, March, 2023

2022

Deep convolutional neural networks for bias field correction of brain magnetic resonance images.

Yan Xu, Yuwen Wang, Shunbo Hu, Yuyue Du

J. Supercomput., 2022

ECG_SegNet: An ECG delineation model based on the encoder-decoder structure.

Xiaohong Liang, Liping Li, Yuanyuan Liu, Dan Chen, Xinpei Wang, Shunbo Hu, Jikuo Wang, Huan Zhang, Chengfa Sun, Changchun Liu

Comput. Biol. Medicine, 2022

MR brain segmentation based on DE-ResUnet combining texture features and background knowledge.

Liang Wu, Shunbo Hu, Changchun Liu

Biomed. Signal Process. Control., 2022

TST-network: A two-stage mutually reinforcing deep learning network for brain MR registration.

Mengjie Zhu, Xiancong Zhang, Lintao Zhang, Guoqiang Li, Shunbo Hu, Yongfang Wang, Lei Wang

Proceedings of the 4th International Conference on Robotics, 2022

Brain MRI synthesis based on dual-generator generative adversarial network.

Xianbiao Bai, Shunbo Hu, Jitao Li, Lei Wang, Dezhuang Kong

Proceedings of the 4th International Conference on Robotics, 2022

2021

An intelligent cloud computing of trunk logistics alliance based on blockchain and big data.

Deqian Fu, Shunbo Hu, Lintao Zhang, Shuqing He, Jianlong Qiu

J. Supercomput., 2021

Exponential-Distance Weights for Reducing Grid-like Artifacts in Patch-Based Medical Image Registration.

Liang Wu, Shunbo Hu, Changchun Liu

Sensors, 2021

Denoising of 3D Brain MR Images with Parallel Residual Learning of Convolutional Neural Network Using Global and Local Feature Extraction.

Liang Wu, Shunbo Hu, Changchun Liu

Comput. Intell. Neurosci., 2021

GLM-Net: A multi-scale image segmentation network for brain abnormalities based on GLCM.

Fuchun Zhang, Yuwen Wang, Liang Wu, Mingtao Liu, Shunbo Hu, Meng Li

Proceedings of the 14th International Congress on Image and Signal Processing, 2021

DWD-net: Cascaded local and global deep learning network for brain MR registration.

Yue Yang, Yuwen Wang, Jitao Li, Lintao Zhang, Shunbo Hu

Proceedings of the 14th International Congress on Image and Signal Processing, 2021

Deformable medical image registration based on unsupervised generative adversarial network integrating dual attention mechanisms.

Meng Li, Yuwen Wang, Fuchun Zhang, Guoqiang Li, Shunbo Hu, Liang Wu

Proceedings of the 14th International Congress on Image and Signal Processing, 2021

Small animal PET to CT image synthesis based on conditional generation network.

Jitao Li, Yuwen Wang, Yue Yang, Xin Zhang, Zongjin Qu, Shunbo Hu

Proceedings of the 14th International Congress on Image and Signal Processing, 2021

2020

Brain Deformable Registration Using Global and Local Label-Driven Deep Regression Learning in the First Year of Life.

Shunbo Hu, Lintao Zhang, Guoqiang Li, Mingtao Liu, Deqian Fu, Wenyin Zhang

IEEE Access, 2020

Label-Driven Brain Deformable Registration Using Structural Similarity and Nonoverlap Constraints.

Shunbo Hu, Lintao Zhang, Yan Xu, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019

Bias Correction of Multiple MRI Images Based on an Improved Nonparametric Maximum Likelihood Method.

Yan Xu, Shunbo Hu, Yuyue Du

IEEE Access, 2019

Infant Brain Deformable Registration Using Global and Local Label-Driven Deep Regression Learning.

Shunbo Hu, Lintao Zhang, Guoqiang Li, Mingtao Liu, Deqian Fu, Wenyin Zhang

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Non-Rigid Joint Registration for Multi-Contrast MR of Infant Brain Based on the Unsupervised Deep Regression Network.

Lintao Zhang, Guoqiang Li, Deqian Fu, Wenyin Zhang, Mingtao Liu, Shunbo Hu

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

Adversarial Network with Dual U-net Model and Multiresolution Loss Computation for Medical Images Registration.

Guoqiang Li, Lintao Zhang, Shunbo Hu, Deqian Fu, Mingtao Liu

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018

A Visual Secret Sharing Scheme Based on Improved Local Binary Pattern.

Wenyin Zhang, Frank Y. Shih, Shunbo Hu, Muwei Jian

Int. J. Pattern Recognit. Artif. Intell., 2018

2016

Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life.

Lifang Wei, Shunbo Hu, Yaozong Gao, Xiaohuan Cao, Guorong Wu, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

2013

Visual tracking with representative templates based on low-rank matrix.

Deqian Fu, Shunbo Hu, Seong Tae Jhang

Proceedings of the Research in Adaptive and Convergent Systems, 2013

2012

Improved nearest neighbor interpolators based on confidence region in medical image registration.

Shunbo Hu, Peng Shao

Biomed. Signal Process. Control., 2012