Hai Shu | DeepAI

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∙ 06/09/2022

Structure-consistent Restoration Network for Cataract Fundus Image Enhancement

Fundus photography is a routine examination in clinics to diagnose and m...

3 Heng Li, et al. ∙

∙ 03/11/2022

A comparative study of non-deep learning, deep learning, and ensemble learning methods for sunspot number prediction

Solar activity has significant impacts on human activities and health. O...

0 Yuchen Dang, et al. ∙

∙ 09/25/2021

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

Convolutional neural networks (CNNs) have recently achieved remarkable s...

0 Qiran Jia, et al. ∙

∙ 11/04/2020

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

Automatic MRI brain tumor segmentation is of vital importance for the di...

0 Chenggang Lyu, et al. ∙

∙ 06/05/2020

Adversarial Image Generation and Training for Deep Convolutional Neural Networks

Deep convolutional neural networks (DCNNs) have achieved great success i...

0 Ronghua Shi, et al. ∙

∙ 01/09/2020

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

Modern biomedical studies often collect multiple types of high-dimension...

32 Hai Shu, et al. ∙

∙ 12/20/2019

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

A representative model in integrative analysis of two high-dimensional d...

22 Zhe Qu, et al. ∙

∙ 01/22/2019

Sensitivity Analysis of Deep Neural Networks

Deep neural networks (DNNs) have achieved superior performance in variou...

0 Hai Shu, et al. ∙

∙ 11/05/2018

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Gliomas are the most common primary brain malignancies, with different d...

0 Spyridon Bakas, et al. ∙

∙ 12/16/2014

Estimation of Large Covariance and Precision Matrices from Temporally Dependent Observations

We consider the estimation of large covariance and precision matrices fr...

0 Hai Shu, et al. ∙

∙ 04/04/2014

Multiple Testing for Neuroimaging via Hidden Markov Random Field

Traditional voxel-level multiple testing procedures in neuroimaging, mos...

0 Hai Shu, et al. ∙