Anjan Gudigar
Anjan Gudigar
Manipal Institute of Technology
Verified email at manipal.edu
Title
Cited by
Cited by
Year
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
1372018
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
642016
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
602016
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
512016
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
442016
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
332019
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
312017
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
272017
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
262018
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
242018
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
222019
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
222018
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
202017
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
182018
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
132019
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
132016
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
132012
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
122017
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
112018
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
102019
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