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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...
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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...
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09/25/2021
BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation
Convolutional neural networks (CNNs) have recently achieved remarkable s...
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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...
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06/05/2020
Adversarial Image Generation and Training for Deep Convolutional Neural Networks
Deep convolutional neural networks (DCNNs) have achieved great success i...
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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...
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12/20/2019
CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets
A representative model in integrative analysis of two high-dimensional d...
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01/22/2019
Sensitivity Analysis of Deep Neural Networks
Deep neural networks (DNNs) have achieved superior performance in variou...
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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...
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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...
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04/04/2014
