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An overview of deep learning techniques for epileptic seizures detection
  and prediction based on neuroimaging modalities: Methods, challenges, and
  future works

An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works

29 May 2021
A. Shoeibi
Parisa Moridian
Marjane Khodatars
Navid Ghassemi
M. Jafari
R. Alizadehsani
Yinan Kong
Juan M Gorriz
Javier Ramírez
Abbas Khosravi
S. Nahavandi
U. Acharya
ArXivPDFHTML

Papers citing "An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works"

13 / 63 papers shown
Title
A Brief Survey of Deep Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
120
2,809
0
19 Aug 2017
Deep Recurrent Neural Networks for seizure detection and early seizure
  detection systems
Deep Recurrent Neural Networks for seizure detection and early seizure detection systems
S. Talathi
48
48
0
10 Jun 2017
Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure
  Prediction
Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction
M. Hosseini
H. Soltanian-Zadeh
K. Elisevich
D. Pompili
45
100
0
17 Feb 2017
Learning Robust Features using Deep Learning for Automatic Seizure
  Detection
Learning Robust Features using Deep Learning for Automatic Seizure Detection
Pierre Thodoroff
Joelle Pineau
Andrew Lim
OOD
52
292
0
31 Jul 2016
Resnet in Resnet: Generalizing Residual Architectures
Resnet in Resnet: Generalizing Residual Architectures
S. Targ
Diogo Almeida
Kevin Lyman
SSeg
78
826
0
25 Mar 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
139
7,465
0
24 Feb 2016
Convolutional RNN: an Enhanced Model for Extracting Features from
  Sequential Data
Convolutional RNN: an Enhanced Model for Extracting Features from Sequential Data
Gil Keren
Björn Schuller
40
140
0
18 Feb 2016
Ladder Variational Autoencoders
Ladder Variational Autoencoders
C. Sønderby
T. Raiko
Lars Maaløe
Søren Kaae Sønderby
Ole Winther
BDL
DRL
95
912
0
06 Feb 2016
Sub-cortical brain structure segmentation using F-CNN's
Sub-cortical brain structure segmentation using F-CNN's
Mahsa Shakeri
Stavros Tsogkas
Enzo Ferrante
S. Lippé
Samuel Kadoury
Nikos Paragios
Iasonas Kokkinos
52
119
0
05 Feb 2016
Importance Weighted Autoencoders
Importance Weighted Autoencoders
Yuri Burda
Roger C. Grosse
Ruslan Salakhutdinov
BDL
264
1,245
0
01 Sep 2015
Places205-VGGNet Models for Scene Recognition
Places205-VGGNet Models for Scene Recognition
Limin Wang
Sheng Guo
Weilin Huang
Yu Qiao
51
153
0
07 Aug 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
351
13,134
0
12 Mar 2015
DeepID3: Face Recognition with Very Deep Neural Networks
DeepID3: Face Recognition with Very Deep Neural Networks
Yi Sun
Ding Liang
Xiaogang Wang
Xiaoou Tang
CVBM
83
940
0
03 Feb 2015
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