U Rajendra Acharya
U Rajendra Acharya
Professor of Artificial Intelligence in Healthcare,University of Southern Queensland, Australia
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
Automated EEG analysis of epilepsy: a review
UR Acharya, SV Sree, G Swapna, RJ Martis, JS Suri
Knowledge-Based Systems 45, 147-165, 2013
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
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
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
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
EEG signal analysis: a survey
DP Subha, PK Joseph, R Acharya U, CM Lim
Journal of medical systems 34, 195-212, 2010
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
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
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
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
Advances in cardiac signal processing
UR Acharya, SM Krishnan, JAE Spaan, JS Suri
springer, 2007
The system can't perform the operation now. Try again later.
Articles 1–20