| 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 | 664 | 2020 |
| Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images U Raghavendra, H Fujita, SV Bhandary, A Gudigar, JH Tan, UR Acharya Information Sciences 441, 41-49, 2018 | 491 | 2018 |
| Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network UR Acharya, H Fujita, SL Oh, U Raghavendra, JH Tan, M Adam, ... Future Generation Computer Systems 79, 952-959, 2018 | 317 | 2018 |
| Transfer learning techniques for medical image analysis: A review P Kora, CP Ooi, O Faust, U Raghavendra, A Gudigar, WY Chan, ... Biocybernetics and Biomedical Engineering 42 (1), 79-107, 2022 | 293 | 2022 |
| Age-related macular degeneration detection using deep convolutional neural network JH Tan, SV Bhandary, S Sivaprasad, Y Hagiwara, A Bagchi, ... Future Generation Computer Systems 87, 127-135, 2018 | 178 | 2018 |
| Artificial intelligence techniques for automated diagnosis of neurological disorders U Raghavendra, UR Acharya, H Adeli European neurology 82 (1-3), 41-64, 2020 | 167 | 2020 |
| Automated emotion recognition: Current trends and future perspectives M Maithri, U Raghavendra, A Gudigar, J Samanth, PD Barua, ... Computer methods and programs in biomedicine 215, 106646, 2022 | 152 | 2022 |
| A review on automatic detection and recognition of traffic sign A Gudigar, S Chokkadi, R U Multimedia Tools and Applications 75, 333-364, 2016 | 130 | 2016 |
| Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images UR Acharya, U Raghavendra, H Fujita, Y Hagiwara, JEW Koh, TJ Hong, ... Computers in biology and medicine 79, 250-258, 2016 | 118 | 2016 |
| Application of Gabor wavelet and Locality Sensitive Discriminant Analysis for automated identification of breast cancer using digitized mammogram images U Raghavendra, UR Acharya, H Fujita, A Gudigar, JH Tan, S Chokkadi Applied Soft Computing 46, 151-161, 2016 | 117 | 2016 |
| Application of multiresolution analysis for automated detection of brain abnormality using MR images: A comparative study A Gudigar, U Raghavendra, TR San, EJ Ciaccio, UR Acharya Future Generation Computer Systems 90, 359-367, 2019 | 116 | 2019 |
| Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies JEW Koh, UR Acharya, Y Hagiwara, U Raghavendra, JH Tan, SV Sree, ... Computers in biology and medicine 84, 89-97, 2017 | 91 | 2017 |
| Automated system for the detection of thoracolumbar fractures using a CNN architecture U Raghavendra, NS Bhat, A Gudigar, UR Acharya Future Generation Computer Systems 85, 184-189, 2018 | 81 | 2018 |
| Fusion of spatial gray level dependency and fractal texture features for the characterization of thyroid lesions U Raghavendra, UR Acharya, A Gudigar, JH Tan, H Fujita, Y Hagiwara, ... Ultrasonics 77, 110-120, 2017 | 80 | 2017 |
| Decision support system for fatty liver disease using GIST descriptors extracted from ultrasound images UR Acharya, H Fujita, S Bhat, U Raghavendra, A Gudigar, F Molinari, ... Information Fusion 29, 32-39, 2016 | 78 | 2016 |
| Novel expert system for glaucoma identification using non-parametric spatial envelope energy spectrum with fundus images U Raghavendra, SV Bhandary, A Gudigar, UR Acharya Biocybernetics and Biomedical Engineering 38 (1), 170-180, 2018 | 74 | 2018 |
| Automated technique for coronary artery disease characterization and classification using DD-DTDWT in ultrasound images U Raghavendra, H Fujita, A Gudigar, R Shetty, K Nayak, U Pai, J Samanth, ... Biomedical Signal Processing and Control 40, 324-334, 2018 | 70 | 2018 |
| Computer-aided diagnosis for the identification of breast cancer using thermogram images: A comprehensive review U Raghavendra, A Gudigar, TN Rao, EJ Ciaccio, EYK Ng, UR Acharya Infrared Physics & Technology 102, 103041, 2019 | 67 | 2019 |
| Role of artificial intelligence in COVID-19 detection A Gudigar, U Raghavendra, S Nayak, CP Ooi, WY Chan, ... Sensors 21 (23), 8045, 2021 | 63 | 2021 |
| Automated categorization of multi-class brain abnormalities using decomposition techniques with MRI images: a comparative study A Gudigar, U Raghavendra, EJ Ciaccio, N Arunkumar, E Abdulhay, ... IEEE Access 7, 28498-28509, 2019 | 55 | 2019 |
Rajendra AcharyaProfessor of Artificial Intelligence and Computing, University of Southern Queensland, AustraliaEmail verificata su usq.edu.au