Concepedia

Automated EEG-based screening of depression using deep convolutional neural network

U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, Hojjat Adeli

Computer Methods and Programs in Biomedicine · 2018 · 637 citations · 55 references

DOI

Concepts

References

55

Dropout: a simple way to prevent neural networks from overfitting

Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky et al. · 2014 · 34.3K citations

, , +12

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · 2015 · 18.8K citations

, , +11

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

Hoo-Chang Shin, Holger R. Roth, Mingchen Gao et al. · IEEE Transactions on Medical Imaging · 2016 · 5.8K citations · Full text

, , +16

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

Nima Tajbakhsh, J. Shin, Suryakanth Gurudu et al. · IEEE Transactions on Medical Imaging · 2016 · 3.2K citations · Full text

, , +15

Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks

Young‐Jin Cha, Wooram Choi, Oral Büyüköztürk · Computer-Aided Civil and Infrastructure Engineering · 2017 · 3.1K citations · Full text

, , +17