U. Rajendra Acharya
Researcher Next ID · RN-026635
Researcher · Neuroscience
University of Southern Queensland
Toowoomba, Australia
- Works count
- 1,133
- Citation count
- 92,307
- H-index
- 152
- i10-index
- 826
Research interests
Publications
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works
Computers in Biology and Medicine · 2022 · https://doi.org/10.1016/j.compbiomed.2022.105554
The internet of medical things and artificial intelligence: trends, challenges, and opportunities
Journal of Applied Biomedicine · 2022 · https://doi.org/10.1016/j.bbe.2022.05.008
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
Information Fusion · 2021 · https://doi.org/10.1016/j.inffus.2021.05.008
Epileptic Seizures Detection Using Deep Learning Techniques: A Review
International Journal of Environmental Research and Public Health · 2021 · https://doi.org/10.3390/ijerph18115780
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning
Computers in Biology and Medicine · 2021 · https://doi.org/10.1016/j.compbiomed.2021.104418
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review
Computers in Biology and Medicine · 2021 · https://doi.org/10.1016/j.compbiomed.2021.104697
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review
arXiv (Cornell University) · 2020 · https://doi.org/10.48550/arxiv.2007.10785
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review
arXiv (Cornell University) · 2020 · https://doi.org/10.1016/j.compbiomed.2021.104949
Risk factors prediction, clinical outcomes, and mortality in COVID‐19 patients
Journal of Medical Virology · 2020 · https://doi.org/10.1002/jmv.26699
Automated detection of COVID-19 cases using deep neural networks with X-ray images
Computers in Biology and Medicine · 2020 · https://doi.org/10.1016/j.compbiomed.2020.103792
Machine learning-based coronary artery disease diagnosis: A comprehensive review
Computers in Biology and Medicine · 2019 · https://doi.org/10.1016/j.compbiomed.2019.103346
A deep convolutional neural network model to classify heartbeats
Computers in Biology and Medicine · 2017 · https://doi.org/10.1016/j.compbiomed.2017.08.022
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals
Computers in Biology and Medicine · 2017 · https://doi.org/10.1016/j.compbiomed.2017.09.017
Automated identification of normal and diabetes heart rate signals using nonlinear measures
Computers in Biology and Medicine · 2013 · https://doi.org/10.1016/j.compbiomed.2013.05.024
Linear and nonlinear analysis of normal and CAD-affected heart rate signals
Computer Methods and Programs in Biomedicine · 2013 · https://doi.org/10.1016/j.cmpb.2013.08.017
Data mining technique for automated diagnosis of glaucoma using higher order spectra and wavelet energy features
Knowledge-Based Systems · 2012 · https://doi.org/10.1016/j.knosys.2012.02.010
APPLICATION OF NON-LINEAR AND WAVELET BASED FEATURES FOR THE AUTOMATED IDENTIFICATION OF EPILEPTIC EEG SIGNALS
International Journal of Neural Systems · 2012 · https://doi.org/10.1142/s0129065712500025
Use of principal component analysis for automatic classification of epileptic EEG activities in wavelet framework
Expert Systems with Applications · 2012 · https://doi.org/10.1016/j.eswa.2012.02.040
Automated diagnosis of Coronary Artery Disease affected patients using LDA, PCA, ICA and Discrete Wavelet Transform
Knowledge-Based Systems · 2012 · https://doi.org/10.1016/j.knosys.2012.08.011
Automated diagnosis of epileptic EEG using entropies
Biomedical Signal Processing and Control · 2011 · https://doi.org/10.1016/j.bspc.2011.07.007
AUTOMATIC DETECTION OF EPILEPTIC EEG SIGNALS USING HIGHER ORDER CUMULANT FEATURES
International Journal of Neural Systems · 2011 · https://doi.org/10.1142/s0129065711002912
Algorithms for the Automated Detection of Diabetic Retinopathy Using Digital Fundus Images: A Review
Journal of Medical Systems · 2010 · https://doi.org/10.1007/s10916-010-9454-7
Advances in Cardiac Signal Processing
Journal · 2007 · https://doi.org/10.1007/978-3-540-36675-1
Heart rate variability: a review
Medical & Biological Engineering & Computing · 2006 · https://doi.org/10.1007/s11517-006-0119-0
Current projects
No projects listed.