Hai Shu

发表

Sensitivity Analysis of Deep Neural Networks pdf

Hongtu Zhu, Hai Shu, Hongtu Zhu, 2019, AAAI.

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

Wei Yang, Tengfei Li, Liming Zhong, 2020, NeuroImage.

Adversarial Image Generation and Training for Deep Convolutional Neural Networks pdf

Ziqi Chen, Hongtu Zhu, Ronghua Shi, 2020, ArXiv.

Automatic Brain Tumor Segmentation with Domain Adaptation

Hongtu Zhu, Haipeng Shen, Tengfei Li, 2018, BrainLes@MICCAI.

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

Zhe Qu, Hongtu Zhu, Hai Shu, 2020, ArXiv.

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

Zhe Qu, Hai Shu, 2019, ArXiv.

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

Hongtu Zhu, Tengfei Li, Fan Zhou, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

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

Hai Shu, Chenggang Lyu, Hai Shu, 2020, BrainLes@MICCAI.

Adversarial Image Generation and Training for Deep Neural Networks

Ziqi Chen, Hongtu Zhu, Ronghua Shi, 2020 .

Multiple testing for neuroimaging via hidden Markov random field

Bin Nan, Robert Koeppe, Hai Shu, 2014, Biometrics.

A Deep Learning Approach to Re-create Raw Full-Field Digital Mammograms for Breast Density and Texture Analysis.

Lauren Q Chang Sen, Jessica W T Leung, Hai Shu, 2021, Radiology. Artificial intelligence.

BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation pdf

Hai Shu, Qiran Jia, Hai Shu, 2021, BrainLes@MICCAI.

Large covariance/correlation matrix estimation for long memory temporal data

Bin Nan, Hai Shu, B. Nan, 2014 .