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Research Output 2012 2020

  • 548 Citations
  • 13 h-Index
  • 31 Article
  • 7 Conference contribution
  • 2 Review article
2020

Brain pathology identification using computer aided diagnostic tool: A systematic review

Gudigar, A., Raghavendra, U., Hegde, A., Kalyani, M., Ciaccio, E. J. & Rajendra Acharya, U., 04-2020, In : Computer Methods and Programs in Biomedicine. 187, 105205.

Research output: Contribution to journalReview article

Pathology
Brain
Brain Diseases
Magnetic resonance
Decision Making
2019

2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer

Raghavendra, U., Gudigar, A., Ciaccio, E. J., Ng, K. H., Chan, W. Y., Rahmat, K. & Acharya, U. R., 01-01-2019, (Accepted/In press) In : Expert Systems. e12474.

Research output: Contribution to journalArticle

Digital Mammography
Computer-aided Diagnosis
Mammography
Breast Cancer
Comparative Study
3 Citations (Scopus)

An efficient traffic sign recognition based on graph embedding features

Gudigar, A., Chokkadi, S., Raghavendra, U. & Acharya, U. R., 04-07-2019, In : Neural Computing and Applications. p. 1-13 13 p.

Research output: Contribution to journalArticle

Traffic signs
Personal computers
Classifiers
Discriminant analysis
Computational efficiency
18 Citations (Scopus)

Application of multiresolution analysis for automated detection of brain abnormality using MR images: A comparative study

Gudigar, A., Raghavendra, U., San, T. R., Ciaccio, E. J. & Acharya, U. R., 01-01-2019, In : Future Generation Computer Systems. 90, p. 359-367 9 p.

Research output: Contribution to journalArticle

Multiresolution analysis
Magnetic resonance
Brain
Neurology
Magnetic resonance imaging
1 Citation (Scopus)

A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images

Raghavendra, U., Gudigar, A., Bhandary, S. V., Rao, T. N., Ciaccio, E. J. & Acharya, U. R., 01-09-2019, In : Journal of Medical Systems. 43, 9, 299.

Research output: Contribution to journalArticle

Computer aided diagnosis
Glaucoma
Learning systems
Screening
Testing
8 Citations (Scopus)

Automated categorization of multi-class brain abnormalities using decomposition techniques with MRI images: A comparative study

Gudigar, A., Raghavendra, U., Ciaccio, E. J., Arunkumar, N., Abdulhay, E. & Acharya, U. R., 01-01-2019, In : IEEE Access. 7, p. 28498-28509 12 p., 8649639.

Research output: Contribution to journalArticle

Open Access
Magnetic resonance imaging
Brain
Decomposition
Imaging techniques
Computer aided diagnosis
1 Citation (Scopus)

Computer-aided diagnosis for the identification of breast cancer using thermogram images: A comprehensive review

Raghavendra, U., Gudigar, A., Rao, T. N., Ciaccio, E. J., Ng, E. Y. K. & Rajendra Acharya, U., 01-11-2019, In : Infrared Physics and Technology. 102, 103041.

Research output: Contribution to journalReview article

Computer aided diagnosis
thermograms
breast
Screening
cancer
1 Citation (Scopus)

Global weighted LBP based entropy features for the assessment of pulmonary hypertension

Gudigar, A., Raghavendra, U., Devasia, T., Nayak, K., Danish, S. M., Kamath, G., Samanth, J., Pai, U. M., Nayak, V., Tan, R. S., Ciaccio, E. J. & Acharya, U. R., 01-07-2019, In : Pattern Recognition Letters. 125, p. 35-41 7 p.

Research output: Contribution to journalArticle

Entropy
Ultrasonics
Screening
Imaging techniques
Echocardiography
2018
50 Citations (Scopus)

A deep learning approach for Parkinson’s disease diagnosis from EEG signals

Oh, S. L., Hagiwara, Y., Raghavendra, U., Yuvaraj, R., Arunkumar, N., Murugappan, M. & Acharya, U. R., 01-01-2018, (Accepted/In press) In : Neural Computing and Applications.

Research output: Contribution to journalArticle

Electroencephalography
Brain
Neural networks
Network architecture
Degradation
19 Citations (Scopus)

Age-related Macular Degeneration detection using deep convolutional neural network

Tan, J. H., Bhandary, S. V., Sivaprasad, S., Hagiwara, Y., Bagchi, A., Raghavendra, U., Krishna Rao, A., Raju, B., Shetty, N. S., Gertych, A., Chua, K. C. & Acharya, U. R., 01-10-2018, In : Future Generation Computer Systems. 87, p. 127-135 9 p.

Research output: Contribution to journalArticle

Neural networks
Screening
Aging of materials
Costs
8 Citations (Scopus)
Data mining
Ultrasonics
Decomposition
Elasticity
Screening
3 Citations (Scopus)

Automated detection and classification of liver fibrosis stages using contourlet transform and nonlinear features

Acharya, U. R., Raghavendra, U., Koh, J. E. W., Meiburger, K. M., Ciaccio, E. J., Hagiwara, Y., Molinari, F., Leong, W. L., Vijayananthan, A., Yaakup, N. A., Fabell, M. K. B. M. & Yeong, C. H., 01-11-2018, In : Computer Methods and Programs in Biomedicine. 166, p. 91-98 8 p.

Research output: Contribution to journalArticle

Liver Cirrhosis
Liver
Ultrasonics
Textures
Elasticity Imaging Techniques

Automated detection of lung nodules using HOG technique with chest X-ray images

Raghavendra, U., Gudigar, A., Rao, T. N., Fujita, H. & Acharya, U. R., 01-01-2018, New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 17th International Conference, SoMeT 2018. Herrera-Viedma, E. & Fujita, H. (eds.). IOS Press, p. 1018-1026 9 p. (Frontiers in Artificial Intelligence and Applications; vol. 303).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Computer aided diagnosis
X rays
Pulmonary diseases
Support vector machines
Classifiers
61 Citations (Scopus)

Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network

Acharya, U. R., Fujita, H., Oh, S. L., Raghavendra, U., Tan, J. H., Adam, M., Gertych, A. & Hagiwara, Y., 01-02-2018, In : Future Generation Computer Systems.

Research output: Contribution to journalArticle

Electrocardiography
Defibrillators
Resuscitation
Neural networks
Intensive care units
18 Citations (Scopus)

Automated system for the detection of thoracolumbar fractures using a CNN architecture

Raghavendra, U., Bhat, N. S., Gudigar, A. & Acharya, U. R., 01-08-2018, In : Future Generation Computer Systems. 85, p. 184-189 6 p.

Research output: Contribution to journalArticle

Network architecture
Computer aided diagnosis
Neural networks
Imaging techniques
Tomography
10 Citations (Scopus)
Wavelet Analysis
Discrete wavelet transforms
Coronary Artery Disease
Ultrasonics
Computer aided diagnosis
58 Citations (Scopus)

Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images

Raghavendra, U., Fujita, H., Bhandary, S. V., Gudigar, A., Tan, J. H. & Acharya, U. R., 01-05-2018, In : Information Sciences. 441, p. 41-49 9 p.

Research output: Contribution to journalArticle

Computer aided diagnosis
Computer-aided Diagnosis
Convolution
Digital Image
Neural Networks
11 Citations (Scopus)
Expert systems
Classifiers
Radon
Optics
Screening
8 Citations (Scopus)

Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images

Raghavendra, U., Gudigar, A., Maithri, M., Gertych, A., Meiburger, K. M., Yeong, C. H., Madla, C., Kongmebhol, P., Molinari, F., Ng, K. H. & Acharya, U. R., 01-04-2018, In : Computers in Biology and Medicine. 95, p. 55-62 8 p.

Research output: Contribution to journalArticle

Computer aided diagnosis
Thyroid Nodule
Ultrasonics
Observer Variation
Entropy
2 Citations (Scopus)

Use of Nonlinear Features for Automated Characterization of Suspicious Ovarian Tumors Using Ultrasound Images in Fuzzy Forest Framework

Acharya, U. R., Akter, A., Chowriappa, P., Dua, S., Raghavendra, U., Koh, J. E. W., Tan, J. H., Leong, S. S., Vijayananthan, A., Hagiwara, Y., Ramli, M. T. & Ng, K. H., 01-04-2018, In : International Journal of Fuzzy Systems. 20, 4, p. 1385-1402 18 p.

Research output: Contribution to journalArticle

Ovarian Cancer
Ultrasound Image
Computer aided diagnosis
Tumors
Tumor
2017
3 Citations (Scopus)

A novel crowd density estimation technique using local binary pattern and Gabor features

Pai, A. K., Karunakar, A. K. & Raghavendra, U., 20-10-2017, 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017. Institute of Electrical and Electronics Engineers Inc., 8078556

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gabor filters
Textures
Support vector machines
Classifiers
1 Citation (Scopus)

Automated characterization of breast cancer using steerable filters

Fujita, H., Raghavendra, U., Gudigar, A., Vadakkepat, V. V. & Acharya, U. R., 2017, New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 16th International Conference, SoMeT 2017. IOS Press, Vol. 297. p. 321-327 7 p. (Frontiers in Artificial Intelligence and Applications; vol. 297).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Image analysis
Independent component analysis
8 Citations (Scopus)
Screening
Textures
Ultrasonics
Decomposition
Echocardiography
9 Citations (Scopus)
Pyramid
Degeneration
Histogram
Screening
Feature extraction
19 Citations (Scopus)

Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies

Koh, J. E. W., Acharya, U. R., Hagiwara, Y., Raghavendra, U., Tan, J. H., Sree, S. V., Bhandary, S. V., Rao, A. K., Sivaprasad, S., Chua, K. C., Laude, A. & Tong, L., 01-05-2017, In : Computers in Biology and Medicine. 84, p. 89-97 9 p.

Research output: Contribution to journalArticle

Wavelet Analysis
Macular Degeneration
Entropy
Diabetic Retinopathy
Glaucoma
14 Citations (Scopus)

Fusion of spatial gray level dependency and fractal texture features for the characterization of thyroid lesions

Raghavendra, U., Rajendra Acharya, U., Gudigar, A., Hong Tan, J., Fujita, H., Hagiwara, Y., Molinari, F., Kongmebhol, P. & Hoong Ng, K., 01-05-2017, In : Ultrasonics. 77, p. 110-120 11 p.

Research output: Contribution to journalArticle

glands
classifiers
lesions
fractals
endocrine systems
17 Citations (Scopus)

Local texture patterns for traffic sign recognition using higher order spectra

Gudigar, A., Chokkadi, S., Raghavendra, U. & Acharya, U. R., 15-07-2017, In : Pattern Recognition Letters. 94, p. 202-210 9 p.

Research output: Contribution to journalArticle

Traffic signs
Textures
Discriminant analysis
Computational complexity
12 Citations (Scopus)

Multiple thresholding and subspace based approach for detection and recognition of traffic sign

Gudigar, A., Chokkadi, S., Raghavendra, U. & Acharya, U. R., 01-03-2017, In : Multimedia Tools and Applications. 76, 5, p. 6973-6991 19 p.

Research output: Contribution to journalArticle

Traffic signs
Advanced driver assistance systems
Support vector machines
Classifiers
1 Citation (Scopus)

Source camera identification using noise residual

Akshatha, K. R., Anitha, H., Karunakar, A. K., Raghavendra, U. & Shetty, D., 05-01-2017, 2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1080-1084 5 p. 7807997

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Light sources
Cameras
Support vector machines
Classifiers
Statistics
2016
7 Citations (Scopus)
thermograms
histograms
breast
preserving
Screening
29 Citations (Scopus)
Discriminant analysis
Classifiers
Mammography
Computer aided diagnosis
Adaptive boosting
34 Citations (Scopus)

A review on automatic detection and recognition of traffic sign

Gudigar, A., Chokkadi, S. & U, R., 01-01-2016, In : Multimedia Tools and Applications. 75, 1, p. 333-364 32 p.

Research output: Contribution to journalArticle

Traffic signs
Image acquisition
49 Citations (Scopus)

Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images

Acharya, U. R., Raghavendra, U., Fujita, H., Hagiwara, Y., Koh, J. EW., Jen Hong, T., Sudarshan, V. K., Vijayananthan, A., Yeong, C. H., Gudigar, A. & Ng, K. H., 01-12-2016, In : Computers in Biology and Medicine. 79, p. 250-258 9 p.

Research output: Contribution to journalArticle

Entropy
Fatty Liver
Liver Cirrhosis
Liver
Liver Diseases
29 Citations (Scopus)

Decision support system for fatty liver disease using GIST descriptors extracted from ultrasound images

Acharya, U. R., Fujita, H., Bhat, S., Raghavendra, U., Gudigar, A., Molinari, F., Vijayananthan, A. & Hoong Ng, K., 01-05-2016, In : Information Fusion. 29, p. 32-39 8 p.

Research output: Contribution to journalArticle

Decision support systems
Liver
Ultrasonics
Classifiers
Neural networks
13 Citations (Scopus)

Digital camera identification using PRNU: A feature based approach

Akshatha, K. R., Karunakar, A. K., Anitha, H., Raghavendra, U. & Shetty, D., 01-12-2016, In : Digital Investigation. 19, p. 69-77 9 p.

Research output: Contribution to journalArticle

Digital cameras
Noise
Cameras
Cell Phones
Dermatoglyphics
2015
10 Citations (Scopus)
Anchors
Computational efficiency
Costs
2014
1 Citation (Scopus)
Navigation
Robots
Lighting
Stereo vision
Military applications
2012
2 Citations (Scopus)

A novel face recognition method using PCA, LDA and support vector machine

Raghavendra, U., Mahesh, P. K. & Gudigar, A., 2012, Advances in Computer Science and Information Technology: Computer Science and Engineering - Second International Conference, CCSIT 2012, Proceedings. PART 2 ed. Vol. 85. p. 241-249 9 p. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; vol. 85, no. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Face recognition
Support vector machines
Feature extraction
10 Citations (Scopus)

Kernel based automatic traffic sign detection and recognition using SVM

Gudigar, A., Jagadale, B. N., P.k., M. & U, R., 2012, Eco-Friendly Computing and Communication Systems - International Conference, ICECCS 2012, Proceedings. Vol. 305 CCIS. p. 153-161 9 p. (Communications in Computer and Information Science; vol. 305 CCIS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Traffic signs
Color
Observatories
Accidents
Pollution

Qualitative and quantitative evaluation of correlation based stereo matching algorithms

Raghavendra, U., Makkithaya, K. & Karunakar, A. K., 2012, Advanced Computing, Networking and Security - International Conference, ADCONS 2011, Revised Selected Papers. Vol. 7135 LNCS. p. 244-252 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7135 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Stereo Matching
Quantitative Evaluation
Matching Algorithm
Qualitative Analysis
Quantitative Analysis