Hai Shu

According to our database, Hai Shu authored at least 23 papers between 2018 and 2024.

Collaborative distances:

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

2024

Multi-Scale Tokens-Aware Transformer Network for Multi-Region and Multi-Sequence MR-to-CT Synthesis in a Single Model.

Liming Zhong, Zeli Chen, Hai Shu, Kaiyi Zheng, Yin Li, Weicui Chen, Yuankui Wu, Jianhua Ma, Qianjin Feng, Wei Yang

IEEE Trans. Medical Imaging, February, 2024

2023

A generic fundus image enhancement network boosted by frequency self-supervised representation learning.

Heng Li, Haofeng Liu, Huazhu Fu, Yanwu Xu, Hai Shu, Ke Niu, Yan Hu, Jiang Liu

Medical Image Anal., December, 2023

Cross-Task Feedback Fusion GAN for Joint MR-CT Synthesis and Segmentation of Target and Organs-at-Risk.

Yiwen Zhang, Liming Zhong, Hai Shu, Zhenhui Dai, Kaiyi Zheng, Zefeiyun Chen, Qianjin Feng, Xuetao Wang, Wei Yang

IEEE Trans. Artif. Intell., October, 2023

United multi-task learning for abdominal contrast-enhanced CT synthesis through joint deformable registration.

Liming Zhong, Pinyu Huang, Hai Shu, Yin Li, Yiwen Zhang, Qianjin Feng, Yuankui Wu, Wei Yang

Comput. Methods Programs Biomed., April, 2023

QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration.

Liming Zhong, Zeli Chen, Hai Shu, Yikai Zheng, Yiwen Zhang, Yuankui Wu, Qianjin Feng, Yin Li, Wei Yang

Medical Image Anal., 2023

DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data.

Taehyo Kim, Hai Shu, Qiran Jia, Mony de Leon

CoRR, 2023

K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing.

Shuai Li, Yingjie Zhang, Hongtu Zhu, Christina Dan Wang, Hai Shu, Ziqi Chen, Zhuoran Sun, Yanfeng Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Domain Adaptative Retinal Image Quality Assessment with Knowledge Distillation Using Competitive Teacher-Student Network.

Yuanming Lin, Heng Li, Haofeng Liu, Hai Shu, Zinan Li, Yan Hu, Jiang Liu

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

Self-Supervision Boosted Retinal Vessel Segmentation for Cross-Domain Data.

Haojin Li, Heng Li, Hai Shu, Jianyu Chen, Yan Hu, Jiang Liu

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

2022

D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data.

Hai Shu, Zhe Qu, Hongtu Zhu

J. Mach. Learn. Res., 2022

A Comparative Study of non-deep Learning, Deep Learning, and Ensemble Learning Methods for Sunspot Number Prediction.

Yuchen Dang, Ziqi Chen, Heng Li, Hai Shu

Appl. Artif. Intell., 2022

Structure-Consistent Restoration Network for Cataract Fundus Image Enhancement.

Heng Li, Haofeng Liu, Huazhu Fu, Hai Shu, Yitian Zhao, Xiaoling Luo, Yan Hu, Jiang Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks.

Hai Shu, Ronghua Shi, Qiran Jia, Hongtu Zhu, Ziqi Chen

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

BiTr-Unet: A CNN-Transformer Combined Network for MRI Brain Tumor Segmentation.

Qiran Jia, Hai Shu

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

(TS)²WM: Tumor Segmentation and Tract Statistics for Assessing White Matter Integrity with Applications to Glioblastoma Patients.

Liming Zhong, Tengfei Li, Hai Shu, Chao Huang, Jason M. Johnson, Donald F. Schomer, Ho-Ling Liu, Qianjin Feng, Wei Yang, Hongtu Zhu

NeuroImage, 2020

Adversarial Image Generation and Training for Deep Convolutional Neural Networks.

Ronghua Shi, Hai Shu, Hongtu Zhu, Ziqi Chen

CoRR, 2020

D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multiple High-dimensional Datasets.

Hai Shu, Zhe Qu, Hongtu Zhu

CoRR, 2020

Variational-Autoencoder Regularized 3D MultiResUNet for the BraTS 2020 Brain Tumor Segmentation.

Jiarui Tang, Tengfei Li, Hai Shu, Hongtu Zhu

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation.

Chenggang Lyu, Hai Shu

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets.

Zhe Qu, Hai Shu

CoRR, 2019

Sensitivity Analysis of Deep Neural Networks.

Hai Shu, Hongtu Zhu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Automatic Brain Tumor Segmentation with Domain Adaptation.

Lutao Dai, Tengfei Li, Hai Shu, Liming Zhong, Haipeng Shen, Hongtu Zhu

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

A label-fusion-aided convolutional neural network for isointense infant brain tissue segmentation.

Tengfei Li, Fan Zhou, Ziliang Zhu, Hai Shu, Hongtu Zhu

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018