|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
|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 (15), 10927-10933, 2020
|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
|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
|A review on automatic detection and recognition of traffic sign|
A Gudigar, S Chokkadi, U Raghavendra
Multimedia Tools and Applications 75 (1), 333-364, 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
|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
|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
|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
|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
|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
|Artificial intelligence techniques for automated diagnosis of neurological disorders|
U Raghavendra, UR Acharya, H Adeli
European neurology 82 (1-3), 41-64, 2019
|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
|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
|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
|Local texture patterns for traffic sign recognition using higher order spectra|
A Gudigar, S Chokkadi, U Raghavendra, UR Acharya
Pattern Recognition Letters 94, 202-210, 2017
|Digital camera identification using PRNU: A feature based approach|
KR Akshatha, AK Karunakar, H Anitha, U Raghavendra, D Shetty
Digital investigation 19, 69-77, 2016
|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
|An integrated index for breast cancer identification using histogram of oriented gradient and kernel locality preserving projection features extracted from thermograms|
U Raghavendra, U Rajendra Acharya, EYK Ng, JH Tan, A Gudigar
Quantitative InfraRed Thermography Journal 13 (2), 195-209, 2016
|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