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2002.01925
Cited By
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review
IEEE Reviews in Biomedical Engineering (RBME), 2020
4 February 2020
Khansa Rasheed
A. Qayyum
Junaid Qadir
Shobi Sivathamboo
P. Kwan
L. Kuhlmann
T. O'Brien
Adeel Razi
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Papers citing
"Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review"
32 / 32 papers shown
Affordable EEG, Actionable Insights: An Open Dataset and Evaluation Framework for Epilepsy Patient Stratification
HM Shadman Tabib
Md. Hasnaen Adil
A. Rahman
Ahmmad Nur Swapnil
Maoyejatun Hasana
Ahmed Hossain Chowdhury
A. Islam
119
0
0
22 Oct 2025
On the challenges of detecting MCI using EEG in the wild
Aayush Mishra
David Joffe
Sankara Surendra Telidevara
David S Oakley
Anqi Liu
370
0
0
15 Jan 2025
From Epilepsy Seizures Classification to Detection: A Deep Learning-based Approach for Raw EEG Signals
Davy Darankoum
Manon Villalba
Clelia Allioux
Baptiste Caraballo
Carine Dumont
...
Corinne Roucard
Yann Roche
Chloe Habermacher
Sergei Grudinin
Julien Volle
259
7
0
04 Oct 2024
Enhancing Representation Learning of EEG Data with Masked Autoencoders
Interacción (HCII), 2024
Yifei Zhou
Sitong Liu
302
2
0
09 Aug 2024
Integrating HCI Datasets in Project-Based Machine Learning Courses: A College-Level Review and Case Study
Interacción (HCII), 2024
Xiaodong Qu
Matthew L. Key
Eric Luo
Chuhui Qiu
273
5
0
06 Aug 2024
EEGMobile: Enhancing Speed and Accuracy in EEG-Based Gaze Prediction with Advanced Mobile Architectures
Interacción (HCII), 2024
Teng Liang
Andrews Damoah
308
1
0
06 Aug 2024
Fusing Pretrained ViTs with TCNet for Enhanced EEG Regression
Interacción (HCII), 2024
Eric Modesitt
Haicheng Yin
Williams Huang Wang
Brian Lu
294
5
0
02 Apr 2024
Dynamical Survival Analysis with Controlled Latent States
Linus Bleistein
Van-Tuan Nguyen
Adeline Fermanian
Agathe Guilloux
250
6
0
30 Jan 2024
Real-Time Diagnostic Integrity Meets Efficiency: A Novel Platform-Agnostic Architecture for Physiological Signal Compression
Neel Vora
Amir Hajighasemi
Cody T. Reynolds
Amir Radmehr
Mohamed Mohamed
...
Helen H Shang
Jay Harvey
Kan Ding
Phuc Nguyen
Jacob M. Luber
172
6
0
19 Dec 2023
Graph Neural Network-based EEG Classification: A Survey
IEEE transactions on neural systems and rehabilitation engineering (IEEE TNSRE), 2023
D. Klepl
Min Wu
F. He
279
71
0
03 Oct 2023
Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023
M. Jafari
Delaram Sadeghi
A. Shoeibi
Hamid Alinejad-Rokny
Amin Beheshti
David López-García
Zhaolin Chen
U. Acharya
Juan M Gorriz
440
38
0
14 Sep 2023
MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals
Knowledge Discovery and Data Mining (KDD), 2023
Donghong Cai
Junru Chen
Yang Yang
Te-Chun Liu
Yafeng Li
208
35
0
15 Jun 2023
Towards trustworthy seizure onset detection using workflow notes
Khaled Kamal Saab
Siyi Tang
Mohamed Taha
Christopher Lee-Messer
Christopher Ré
D. Rubin
185
10
0
14 Jun 2023
Lightweight Convolution Transformer for Cross-patient Seizure Detection in Multi-channel EEG Signals
S. Rukhsar
A. Tiwari
238
32
0
07 May 2023
ScatterFormer: Locally-Invariant Scattering Transformer for Patient-Independent Multispectral Detection of Epileptiform Discharges
AAAI Conference on Artificial Intelligence (AAAI), 2023
Rui-Hua Zheng
Jun Yu Li
Yi Wang
Tian Luo
Yuguo Yu
MedIm
237
10
0
26 Apr 2023
Importance of methodological choices in data manipulation for validating epileptic seizure detection models
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023
U. Pale
T. Teijeiro
David Atienza
200
5
0
21 Feb 2023
Machine Learning Techniques for Predicting the Short-Term Outcome of Resective Surgery in Lesional-Drug Resistance Epilepsy
Zahra Jourahmad
J. M. Habibabadi
Houshang Moein
R. Basiratnia
Ali Rahmani Geranqayeh
S. S. Ghidary
Seyed-Ali Sadegh-Zadeh
80
5
0
10 Feb 2023
Review of medical data analysis based on spiking neural networks
Procedia Computer Science (PCS), 2022
X. Li
X. Zhang
X. Yi
D. Liu
H. Wang
Beijing
B. Zhang
D. Zhao
Gas
268
17
0
13 Nov 2022
A Meta-GNN approach to personalized seizure detection and classification
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Abdellah Rahmani
Arun Venkitaraman
P. Frossard
173
18
0
01 Nov 2022
EEG-Based Epileptic Seizure Prediction Using Temporal Multi-Channel Transformers
Social Science Research Network (SSRN), 2022
Ricardo V. Godoy
Tharik J. S. Reis
Paulo H. Polegato
G. J. G. Lahr
R. Saute
F. Nakano
H. Machado
A. Sakamoto
Marcelo Becker
G. Caurin
195
10
0
18 Sep 2022
Imaging the time series of one single referenced EEG electrode for Epileptic Seizures Risk Analysis
Tiago Leal
A. Dourado
Fábio Lopes
C. Teixeira
AI4TS
106
1
0
29 Jun 2022
Improving self-supervised pretraining models for epileptic seizure detection from EEG data
Sudip Das
Pankaja Pandey
Krishna P. Miyapuram
MedIm
189
6
0
28 Jun 2022
Multichannel Synthetic Preictal EEG Signals to Enhance the Prediction of Epileptic Seizures
IEEE Transactions on Biomedical Engineering (IEEE TBME), 2022
Yankun Xu
Jie Yang
Mohamad Sawan
263
40
0
29 Apr 2022
Epileptic Seizure Risk Assessment by Multi-Channel Imaging of the EEG
Tiago Leal
Fábio Lopes
C. Teixeira
A. Dourado
80
1
0
12 Apr 2022
Random Forest classifier for EEG-based seizure prediction
Rémy Ben Messaoud
Mario Chavez
91
22
0
02 Jun 2021
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
A. Shoeibi
Parisa Moridian
Marjane Khodatars
Navid Ghassemi
M. Jafari
...
Juan M Gorriz
Javier Ramírez
Abbas Khosravi
S. Nahavandi
U. Acharya
475
69
0
29 May 2021
A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction
International Conference on Artificial Intelligence Circuits and Systems (ICAICS), 2021
Ziyu Wang
Jie Yang
Mohamad Sawan
MedIm
129
27
0
05 May 2021
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis
International Conference on Learning Representations (ICLR), 2021
Siyi Tang
Jared A. Dunnmon
Khaled Kamal Saab
Xuan Zhang
Qianying Huang
Florian Dubost
D. Rubin
Christopher Lee-Messer
301
148
0
16 Apr 2021
Deep Learning for Medical Anomaly Detection -- A Survey
ACM Computing Surveys (ACM CSUR), 2020
Tharindu Fernando
Harshala Gammulle
Akila Pemasiri
Sridha Sridharan
Clinton Fookes
OOD
487
391
0
04 Dec 2020
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction
IEEE transactions on neural systems and rehabilitation engineering (TNSRE), 2020
Khansa Rasheed
Junaid Qadir
T. O'Brien
L. Kuhlmann
Adeel Razi
OOD
255
84
0
01 Dec 2020
Patient-independent Epileptic Seizure Prediction using Deep Learning Models
T. Dissanayake
Tharindu Fernando
Akila Pemasiri
Sridha Sridharan
Clinton Fookes
OOD
174
10
0
18 Nov 2020
Epileptic Seizures Detection Using Deep Learning Techniques: A Review
A. Shoeibi
Marjane Khodatars
Navid Ghassemi
M. Jafari
Parisa Moridian
...
Diba Aminshahidi
Sadiq Hussain
M. Rouhani
S. Nahavandi
U. Acharya
485
357
0
02 Jul 2020
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