• 786 Citations
  • 17 h-Index
20122020

Research output per year

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Research Output

  • 786 Citations
  • 17 h-Index
  • 34 Article
  • 7 Conference contribution
  • 3 Review article
2020

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., 01-08-2020, In : Neural Computing and Applications.

Research output: Contribution to journalArticle

48 Citations (Scopus)

A novel hybrid approach for automated detection of retinal detachment using ultrasound images

Koh, J. E. W., Raghavendra, U., Gudigar, A., Ping, O. C., Molinari, F., Mishra, S., Mathavan, S., Raman, R. & Acharya, U. R., 05-2020, In : Computers in Biology and Medicine. 120, 103704.

Research output: Contribution to journalArticle

Artificial Intelligence Techniques for Automated Diagnosis of Neurological Disorders

Raghavendra, U., Acharya, U. R. & Adeli, H., 01-02-2020, In : European Neurology.

Research output: Contribution to journalReview article

Open Access
5 Citations (Scopus)

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

2 Citations (Scopus)

Development of breast papillary index for differentiation of benign and malignant lesions using ultrasound images

Pham, T. H., Raghavendra, U., Koh, J. E. W., Gudigar, A., Chan, W. Y., Hamid, M. T. R., Rahmat, K., Fadzli, F., Ng, K. H., Ooi, C. P., Ciaccio, E. J., Fujita, H. & Acharya, U. R., 2020, (Accepted/In press) In : Journal of Ambient Intelligence and Humanized Computing.

Research output: Contribution to journalArticle

Scene-Independent Motion Pattern Segmentation in Crowded Video Scenes Using Spatio-Angular Density-Based Clustering

Pai, A. K., Kotegar Karunakar, A. & Raghavendra, U., 2020, In : IEEE Access. 8, p. 145984-145994 11 p., 9162634.

Research output: Contribution to journalArticle

Open Access
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

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

10 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

30 Citations (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

4 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
18 Citations (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

8 Citations (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

2 Citations (Scopus)
2018

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

27 Citations (Scopus)
10 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

6 Citations (Scopus)

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

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

90 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

23 Citations (Scopus)
19 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

107 Citations (Scopus)
17 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

13 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

4 Citations (Scopus)
2017

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

7 Citations (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

1 Citation (Scopus)
11 Citations (Scopus)
12 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

25 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

24 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

21 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

14 Citations (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

1 Citation (Scopus)
2016
10 Citations (Scopus)
42 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

41 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

53 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

33 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

22 Citations (Scopus)
2015
11 Citations (Scopus)
2014
1 Citation (Scopus)
2012

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

3 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

11 Citations (Scopus)

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