Anjan Gudigar
Anjan Gudigar
Manipal Institute of Technology
Verified email at manipal.edu
TitleCited byYear
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
572018
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
532016
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
412016
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
362016
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
352016
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
192018
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
192017
Multiple thresholding and subspace based approach for detection and recognition of traffic sign
A Gudigar, S Chokkadi, U Raghavendra, UR Acharya
Multimedia tools and applications 76 (5), 6973-6991, 2017
192017
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
162019
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
142018
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
142017
Kernel based automatic traffic sign detection and recognition using svm
A Gudigar, BN Jagadale, PK Mahesh, U Raghavendra
International Conference on Eco-friendly Computing and Communication Systems …, 2012
122012
Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images
U Raghavendra, A Gudigar, M Maithri, A Gertych, KM Meiburger, ...
Computers in biology and medicine 95, 55-62, 2018
102018
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
102018
Automated screening of congestive heart failure using variational mode decomposition and texture features extracted from ultrasound images
U Raghavendra, UR Acharya, A Gudigar, R Shetty, N Krishnananda, ...
Neural Computing and Applications 28 (10), 2869-2878, 2017
92017
An efficient data mining framework for the characterization of symptomatic and asymptomatic carotid plaque using bidimensional empirical mode decomposition technique
F Molinari, U Raghavendra, A Gudigar, KM Meiburger, UR Acharya
Medical & biological engineering & computing 56 (9), 1579-1593, 2018
82018
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
72019
An efficient traffic sign recognition based on graph embedding features
A Gudigar, S Chokkadi, U Raghavendra, UR Acharya
Neural Computing and Applications 31 (2), 395-407, 2019
72019
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
72016
A novel face recognition method using pca, lda and support vector machine
U Raghavendra, PK Mahesh, A Gudigar
International Conference on Computer Science and Information Technology, 241-249, 2012
72012
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