Hai Shu

Orcid: 0000-0002-6968-4063

According to our database1, Hai Shu authored at least 28 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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2025
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Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2025
NCCT-to-CECT synthesis with contrast-enhanced knowledge and anatomical perception for multi-organ segmentation in non-contrast CT images.
Medical Image Anal., 2025

2024
Multi-Scale Tokens-Aware Transformer Network for Multi-Region and Multi-Sequence MR-to-CT Synthesis in a Single Model.
IEEE Trans. Medical Imaging, February, 2024

Conditional Diffusion Models Based Conditional Independence Testing.
CoRR, 2024

Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph.
CoRR, 2024

3D U-KAN Implementation for Multi-modal MRI Brain Tumor Segmentation.
CoRR, 2024

D-CDLF: Decomposition of Common and Distinctive Latent Factors for Multi-view High-dimensional Data.
CoRR, 2024

DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
A generic fundus image enhancement network boosted by frequency self-supervised representation learning.
Medical Image Anal., December, 2023

Cross-Task Feedback Fusion GAN for Joint MR-CT Synthesis and Segmentation of Target and Organs-at-Risk.
IEEE Trans. Artif. Intell., October, 2023

United multi-task learning for abdominal contrast-enhanced CT synthesis through joint deformable registration.
Comput. Methods Programs Biomed., April, 2023

QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration.
Medical Image Anal., 2023

K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing.
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.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Self-Supervision Boosted Retinal Vessel Segmentation for Cross-Domain Data.
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.
J. Mach. Learn. Res., 2022

A Comparative Study of non-deep Learning, Deep Learning, and Ensemble Learning Methods for Sunspot Number Prediction.
Appl. Artif. Intell., 2022

Structure-Consistent Restoration Network for Cataract Fundus Image Enhancement.
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.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
BiTr-Unet: A CNN-Transformer Combined Network for MRI Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
(TS)<sup>2</sup>WM: Tumor Segmentation and Tract Statistics for Assessing White Matter Integrity with Applications to Glioblastoma Patients.
NeuroImage, 2020

Adversarial Image Generation and Training for Deep Convolutional Neural Networks.
CoRR, 2020

D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multiple High-dimensional Datasets.
CoRR, 2020

Variational-Autoencoder Regularized 3D MultiResUNet for the BraTS 2020 Brain Tumor Segmentation.
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.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets.
CoRR, 2019

Sensitivity Analysis of Deep Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Automatic Brain Tumor Segmentation with Domain Adaptation.
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.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018


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