Improved nearest neighbor interpolators based on confidence region in medical image registration. - Shunbo Hu; Peng Shao (Biomed. Signal Process. Control., 2012)

Visual tracking with representative templates based on low-rank matrix. - Deqian Fu; Shunbo Hu; Seong Tae Jhang (RACS, 2013)

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 001; Dinggang Shen (MLMI@MICCAI, 2016)

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)

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 (CISP-BMEI, 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 (CISP-BMEI, 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 (MLMI@MICCAI, 2019)

Bias Correction of Multiple MRI Images Based on an Improved Nonparametric Maximum Likelihood Method. - Yan Xu; Shunbo Hu; Yuyue Du (IEEE Access, 2019)

Label-Driven Brain Deformable Registration Using Structural Similarity and Nonoverlap Constraints. - Shunbo Hu; Lintao Zhang; Yan Xu; Dinggang Shen (MLMI@MICCAI, 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)

Small animal PET to CT image synthesis based on conditional generation network. - Jitao Li; Yuwen Wang; Yue Yang; Xin Zhang; Zongjin Qu; Shunbo Hu (CISP-BMEI, 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 (CISP-BMEI, 2021)

DWD-net: Cascaded local and global deep learning network for brain MR registration. - Yue Yang; Yuwen Wang; Jitao Li; Lintao Zhang; Shunbo Hu (CISP-BMEI, 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 (CISP-BMEI, 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)

Exponential-Distance Weights for Reducing Grid-like Artifacts in Patch-Based Medical Image Registration. - Liang Wu; Shunbo Hu; Changchun Liu (Sensors, 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)

Brain MRI synthesis based on dual-generator generative adversarial network. - Xianbiao Bai; Shunbo Hu; Jitao Li; Lei Wang 217; Dezhuang Kong (RICAI, 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 217 (RICAI, 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)

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)

Deep convolutional neural networks for bias field correction of brain magnetic resonance images. - Yan Xu; Yuwen Wang; Shunbo Hu; Yuyue Du (J. Supercomput., 2022)

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, 2023)

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)

Deformable Image Registration with Multi-scale Feature Fusion from Shared Encoder, Auxiliary and Pyramid Decoders. - Hongchao Zhou; Shunbo Hu (CoRR, 2024)

Dual-Attention Frequency Fusion at Multi-Scale for Joint Segmentation and Deformable Medical Image Registration. - Hongchao Zhou; Shunbo Hu (CoRR, 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., 2024)

RClaNet: An Explainable Alzheimer's Disease Diagnosis Framework by Joint Registration and Classification. - Liang Wu; Shunbo Hu; Duanwei Wang; Changchun Liu; Li Wang 026 (IEEE J. Biomed. Health Informatics, 2024)

Efficient Brain Tumor Segmentation with Lightweight Separable Spatial Convolutional Network. - Hao Zhang; Meng Liu 006; Yuan Qi; Ning Yang; Shunbo Hu; Liqiang Nie; Wenyin Zhang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

MCAM-Net: A non-iterative multi-scale coarse-to-fine registration network combined with adaptive morphology for deformable image registration. - Dezhuang Kong; Shunbo Hu; Wenyin Zhang; Guojia Zhao; Xianbiao Bai; Xing Wang; Desley Munashe Gurure; Guoqiang Li; Xiaole Li; Yuwen Wang (Biomed. Signal Process. Control., 2025)

Deformable image registration with high-dimensional map constraint and alignment-synthesis enhancement feature fusion. - Hongchao Zhou; Shunbo Hu; Yongfang Wang; Lintao Zhang; Guoqiang Li; Chunhui Qu; Chengchao Wang; Ranran Zhang; Shiyu Liu (Biomed. Signal Process. Control., 2025)

Multi-scale dual-attention frequency fusion for joint segmentation and deformable medical image registration. - Hongchao Zhou; Shiyu Liu; Shunbo Hu (Inf. Fusion, 2025)

A Novel Edge-Enhanced Networks for Optic Disc and Optic Cup Segmentation. - Mingtao Liu; Yunyu Wang; Yuxuan Li; Shunbo Hu; Guodong Wang; Jing Wang (Int. J. Imaging Syst. Technol., 2025)

Beyond the LUMIR challenge: The pathway to foundational registration models. - Junyu Chen 002; Shuwen Wei; Joel Honkamaa; Pekka Marttinen; Hang Zhang; Min Liu; Yichao Zhou; Zuopeng Tan; Zhuoyuan Wang; Yi Wang; Hongchao Zhou; Shunbo Hu; et al. (CoRR, 2025)