Hai Shu - RankMe

40 papers A* 3A 1B 1Journal 27Unranked 8

Year	Rank	Type	Title / 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