Hai Shu

40 papers A* 3A 1B 1Journal 27Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging Data.
CoRR
Taehyo Kim, Qiran Jia, Mony J. de Leon, Hai Shu
2025 A* conf
Conditional Diffusion Models Based Conditional Independence Testing.
AAAI
Yanfeng Yang, Shuai Li, Yingjie Zhang, Zhuoran Sun, Hai Shu, Ziqi Chen, Renming Zhang
2025 J jnl
Enhancing missing data imputation through combined bipartite graph and complete directed graph.
Neurocomputing
Zhaoyang Zhang, Hongtu Zhu, Yingjie Zhang, Hai Shu, Ziqi Chen
2025 J jnl
NCCT-to-CECT synthesis with contrast-enhanced knowledge and anatomical perception for multi-organ segmentation in non-contrast CT images.
Medical Image Anal.
Liming Zhong, Ruolin Xiao, Hai Shu, Kaiyi Zheng, Xinming Li, Yuankui Wu, Jianhua Ma, Qianjin Feng, Wei Yang
2025 J jnl
Nonlinear Sparse Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data.
CoRR
Rong Wu, Ziqi Chen, Gen Li, Hai Shu
2025 J jnl
UKAN-EP: enhancing U-KAN with efficient attention and pyramid aggregation for 3D multi-modal MRI brain tumor segmentation.
BMC Medical Imaging
Yanbing Chen, Tianze Tang, Taehyo Kim, Hai Shu
2025 J jnl
Unleashing Diffusion and State Space Models for Medical Image Segmentation.
CoRR
Rong Wu, Ziqi Chen, Liming Zhong, Heng Li, Hai Shu
2024 J jnl
3D U-KAN Implementation for Multi-modal MRI Brain Tumor Segmentation.
CoRR
Tianze Tang, Yanbing Chen, Hai Shu
2024 J jnl
Conditional Diffusion Models Based Conditional Independence Testing.
CoRR
Yanfeng Yang, Shuai Li, Yingjie Zhang, Zhuoran Sun, Hai Shu, Ziqi Chen, Renming Zhang
2024 J jnl
D-CDLF: Decomposition of Common and Distinctive Latent Factors for Multi-view High-dimensional Data.
CoRR
Hai Shu
2024 A conf
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data.
AISTATS
Taehyo Kim, Hai Shu, Qiran Jia, Mony J. de Leon
2024 J jnl
Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph.
CoRR
Zhaoyang Zhang, Hongtu Zhu, Ziqi Chen, Yingjie Zhang, Hai Shu
2024 J jnl
Multi-Scale Tokens-Aware Transformer Network for Multi-Region and Multi-Sequence MR-to-CT Synthesis in a Single Model.
IEEE Trans. Medical Imaging
Liming Zhong, Zeli Chen, Hai Shu, Kaiyi Zheng, Yin Li, Weicui Chen, Yuankui Wu, Jianhua Ma, Qianjin Feng, Wei Yang
2023 J jnl
A generic fundus image enhancement network boosted by frequency self-supervised representation learning.
Medical Image Anal.
Heng Li, Haofeng Liu, Huazhu Fu, Yanwu Xu, Hai Shu, Ke Niu, Yan Hu, Jiang Liu
2023 J jnl
Cross-Task Feedback Fusion GAN for Joint MR-CT Synthesis and Segmentation of Target and Organs-at-Risk.
IEEE Trans. Artif. Intell.
Yiwen Zhang, Liming Zhong, Hai Shu, Zhenhui Dai, Kaiyi Zheng, Zefeiyun Chen, Qianjin Feng, Xuetao Wang, Wei Yang
2023 J jnl
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data.
CoRR
Taehyo Kim, Hai Shu, Qiran Jia, Mony J. de Leon
2023 — conf
Domain Adaptative Retinal Image Quality Assessment with Knowledge Distillation Using Competitive Teacher-Student Network.
ISBI
Yuanming Lin, Heng Li, Haofeng Liu, Hai Shu, Zinan Li, Yan Hu, Jiang Liu
2023 A* conf
K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing.
NeurIPS
Shuai Li, Yingjie Zhang, Hongtu Zhu, Christina Dan Wang, Hai Shu, Ziqi Chen, Zhuoran Sun, Yanfeng Yang
2023 J jnl
QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration.
Medical Image Anal.
Liming Zhong, Zeli Chen, Hai Shu, Yikai Zheng, Yiwen Zhang, Yuankui Wu, Qianjin Feng, Yin Li, Wei Yang
2023 — conf
Self-Supervision Boosted Retinal Vessel Segmentation for Cross-Domain Data.
ISBI
Haojin Li, Heng Li, Hai Shu, Jianyu Chen, Yan Hu, Jiang Liu
2023 J jnl
United multi-task learning for abdominal contrast-enhanced CT synthesis through joint deformable registration.
Comput. Methods Programs Biomed.
Liming Zhong, Pinyu Huang, Hai Shu, Yin Li, Yiwen Zhang, Qianjin Feng, Yuankui Wu, Wei Yang
2022 J jnl
A Comparative Study of non-deep Learning, Deep Learning, and Ensemble Learning Methods for Sunspot Number Prediction.
Appl. Artif. Intell.
Yuchen Dang, Ziqi Chen, Heng Li, Hai Shu
2022 J jnl
A comparative study of non-deep learning, deep learning, and ensemble learning methods for sunspot number prediction.
CoRR
Yuchen Dang, Ziqi Chen, Heng Li, Hai Shu
2022 J jnl
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data.
J. Mach. Learn. Res.
Hai Shu, Zhe Qu, Hongtu Zhu
2022 — conf
Structure-Consistent Restoration Network for Cataract Fundus Image Enhancement.
MICCAI (2)
Heng Li, Haofeng Liu, Huazhu Fu, Hai Shu, Yitian Zhao, Xiaoling Luo, Yan Hu, Jiang Liu
2022 J jnl
Structure-consistent Restoration Network for Cataract Fundus Image Enhancement.
CoRR
Heng Li, Haofeng Liu, Huazhu Fu, Hai Shu, Yitian Zhao, Xiaoling Luo, Yan Hu, Jiang Liu
2022 B conf
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks.
IJCNN
Hai Shu, Ronghua Shi, Qiran Jia, Hongtu Zhu, Ziqi Chen
2021 — conf
BiTr-Unet: A CNN-Transformer Combined Network for MRI Brain Tumor Segmentation.
BrainLes@MICCAI (2)
Qiran Jia, Hai Shu
2021 J jnl
BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation.
CoRR
Qiran Jia, Hai Shu
2020 J jnl
(TS)
NeuroImage
Liming Zhong, Tengfei Li, Hai Shu, Chao Huang, Jason M. Johnson, Donald F. Schomer, Ho-Ling Liu, Qianjin Feng, Wei Yang, Hongtu Zhu
2020 — conf
A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation.
BrainLes@MICCAI (1)
Chenggang Lyu, Hai Shu
2020 J jnl
A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation.
CoRR
Chenggang Lyu, Hai Shu
2020 J jnl
Adversarial Image Generation and Training for Deep Convolutional Neural Networks.
CoRR
Ronghua Shi, Hai Shu, Hongtu Zhu, Ziqi Chen
2020 J jnl
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multiple High-dimensional Datasets.
CoRR
Hai Shu, Zhe Qu, Hongtu Zhu
2020 — conf
Variational-Autoencoder Regularized 3D MultiResUNet for the BraTS 2020 Brain Tumor Segmentation.
BrainLes@MICCAI (2)
Jiarui Tang, Tengfei Li, Hai Shu, Hongtu Zhu
2019 J jnl
CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets.
CoRR
Zhe Qu, Hai Shu
2019 A* conf
Sensitivity Analysis of Deep Neural Networks.
AAAI
Hai Shu, Hongtu Zhu
2019 J jnl
Sensitivity Analysis of Deep Neural Networks.
CoRR
Hai Shu, Hongtu Zhu
2018 — conf
A label-fusion-aided convolutional neural network for isointense infant brain tissue segmentation.
ISBI
Tengfei Li, Fan Zhou, Ziliang Zhu, Hai Shu, Hongtu Zhu
2018 — conf
Automatic Brain Tumor Segmentation with Domain Adaptation.
BrainLes@MICCAI (2)
Lutao Dai, Tengfei Li, Hai Shu, Liming Zhong, Haipeng Shen, Hongtu Zhu