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U Rajendra Acharya
U Rajendra Acharya
Professor of Artificial Intelligence in Healthcare,University of Southern Queensland, Australia
Verified email at usq.edu.au - Homepage
Title
Cited by
Cited by
Year
Heart rate variability: a review
U Rajendra Acharya, K Paul Joseph, N Kannathal, CM Lim, JS Suri
Medical and biological engineering and computing 44, 1031-1051, 2006
34842006
Automated detection of COVID-19 cases using deep neural networks with X-ray images
T Ozturk, M Talo, EA Yildirim, UB Baloglu, O Yildirim, UR Acharya
Computers in biology and medicine 121, 103792, 2020
24282020
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals
UR Acharya, SL Oh, Y Hagiwara, JH Tan, H Adeli
Computers in biology and medicine 100, 270-278, 2018
14442018
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
M Abdar, F Pourpanah, S Hussain, D Rezazadegan, L Liu, ...
Information fusion 76, 243-297, 2021
13222021
A deep convolutional neural network model to classify heartbeats
UR Acharya, SL Oh, Y Hagiwara, JH Tan, M Adam, A Gertych, R San Tan
Computers in biology and medicine 89, 389-396, 2017
11662017
Entropies for detection of epilepsy in EEG
N Kannathal, ML Choo, UR Acharya, PK Sadasivan
Computer methods and programs in biomedicine 80 (3), 187-194, 2005
9392005
Deep learning for healthcare applications based on physiological signals: A review
O Faust, Y Hagiwara, TJ Hong, OS Lih, UR Acharya
Computer methods and programs in biomedicine 161, 1-13, 2018
9252018
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals
UR Acharya, H Fujita, SL Oh, Y Hagiwara, JH Tan, M Adam
Information Sciences 415, 190-198, 2017
8492017
Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks
AA Ardakani, AR Kanafi, UR Acharya, N Khadem, A Mohammadi
Computers in biology and medicine 121, 103795, 2020
8102020
Automated EEG analysis of epilepsy: a review
UR Acharya, SV Sree, G Swapna, RJ Martis, JS Suri
Knowledge-Based Systems 45, 147-165, 2013
7842013
ECG beat classification using PCA, LDA, ICA and discrete wavelet transform
RJ Martis, UR Acharya, LC Min
Biomedical Signal Processing and Control 8 (5), 437-448, 2013
7492013
Automated diagnosis of epileptic EEG using entropies
UR Acharya, F Molinari, SV Sree, S Chattopadhyay, KH Ng, JS Suri
Biomedical Signal Processing and Control 7 (4), 401-408, 2012
7002012
Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network
UR Acharya, H Fujita, OS Lih, Y Hagiwara, JH Tan, M Adam
Information sciences 405, 81-90, 2017
6992017
Arrhythmia detection using deep convolutional neural network with long duration ECG signals
Yıldırım, P Pławiak, RS Tan, UR Acharya
Computers in biology and medicine 102, 411-420, 2018
6722018
EEG signal analysis: a survey
DP Subha, PK Joseph, R Acharya U, CM Lim
Journal of medical systems 34, 195-212, 2010
6682010
Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats
SL Oh, EYK Ng, R San Tan, UR Acharya
Computers in biology and medicine 102, 278-287, 2018
6032018
Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis
O Faust, UR Acharya, H Adeli, A Adeli
Seizure 26, 56-64, 2015
5752015
ABCDM: An attention-based bidirectional CNN-RNN deep model for sentiment analysis
ME Basiri, S Nemati, M Abdar, E Cambria, UR Acharya
Future Generation Computer Systems 115, 279-294, 2021
5112021
A deep learning approach for Parkinson’s disease diagnosis from EEG signals
SL Oh, Y Hagiwara, U Raghavendra, R Yuvaraj, N Arunkumar, ...
Neural Computing and Applications 32, 10927–10933, 2020
5032020
Advances in cardiac signal processing
UR Acharya, SM Krishnan, JAE Spaan, JS Suri
springer, 2007
496*2007
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