PUBLICATIONS

PATENTS
 
  1. Method and System for Efficient Stereo Matching.
    Indian Patent Application Number: 89/CHE/2014 filed on 8th Jan 2014. (Patent Pending).
     
PEER REVIEWED PUBLICATIONS
 
  1. U Raghavendra, U Rajendra Acharya, Hojjat Adeli.
    Artificial Intelligence Techniques for Automated Diagnosis of Neurological Disorders.
    European neurology, Karger Publishers (2019).
    (Impact Factor : 1.235)
  2. Anjan Gudigar, U Raghavendra, Ajay Hegde, M Kalyani, Edward J Ciaccio, U Rajendra Acharya.
    Brain Pathology Identification Using Computer Aided Diagnostic Tool: A Systematic Review.
    Computer Methods and Programs in Biomedicine, Elsevier, vol. 187, Article 105205 (2019).
    (Impact Factor : 3.424)
  3. U Raghavendra, Anjan Gudigar, Tejaswi N Rao, Edward J Ciaccio, EYK Ng, U Rajendra Acharya.
    Computer aided diagnosis for the identification of breast cancer using thermogram images: A comprehensive review.
    Infrared Physics & Technology, Pergamon, vol. 102, Article 103041 (2019).
    (Impact Factor : 2.313)
  4. U Raghavendra, Anjan Gudigar, Sulatha V Bhandary, Tejaswi N Rao, Edward J Ciaccio, U Rajendra Acharya.
    A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images.
    Journal of Medical Systems, Springer, vol. 43 (2019).
    (Impact Factor : 2.415)
  5. Anjan Gudigar, U Raghavendra, Tom Devasia, Krishnananda Nayak, Sheik Mohammed Danish, Gautam Kamath, Jyothi Samanth, Umesh M Pai, Vidya Nayak, Ru San Tan, Edward J Ciaccio, U Rajendra Acharya.
    Global weighted LBP based entropy features for the assessment of pulmonary hypertension.
    Pattern Recognition Letters, Elsevier, vol. 125, pp. 35-41 (2019).
    (Impact Factor : 2.81)
  6. Anjan Gudigar, U Raghavendra, Edward J Ciaccio, N Arunkumar, Enas Abdulhay, U Rajendra Acharya.
    Automated categorization of multi-class brain abnormalities using decomposition techniques with MRI images: A comparative study.
    IEEE Access, IEEE, vol. 7, pp. 28498-28509 (2019).
    (Impact Factor : 4.098)
  7. U Raghavendra, Anjan Gudigar, Edward J Ciaccio, Kwan Hoong Ng, Wai Yee Chan, Kartini Rahmat, U Rajendra Acharya.
    2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer.
    Expert Systems, Wiley (2019).
    (Impact Factor : 1.505)
  8. Anjan Gudigar, U Raghavendra, Tan Ru San, Edward J Ciaccio, U Rajendra Acharya.
    Application of multiresolution analysis for automated detection of brain abnormality using MR images: A comparative study.
    Future Generation Computer Systems, Elsevier, vol. 166, pp. 91-98 (2019).
    (Impact Factor : 4.639)
  9. U Rajendra Acharya, U Raghavendra, Joel EW Koh, Kristen M Meiburger, Edward J Ciaccio, Yuki Hagiwara, Filippo Molinari, Wai Ling Leong, Anushya Vijayananthan, Nur Adura Yaakup, Mohd Kamil Bin Mohd Fabell, Chai Hong Yeong.
    Automated detection and classification of liver fibrosis stages using contourlet transform and nonlinear features.
    Computer Methods and Programs in Biomedicine, Elsevier, vol. 90, pp. 359-367 (2018).
    (Impact Factor : 2.840)
  10. Shu Lih Oh, Yuki Hagiwara, U Raghavendra, Rajamanickam Yuvaraj, N Arunkumar, M Murugappan, U Rajendra Acharya.
    A deep learning approach for Parkinson's disease diagnosis from EEG signals.
    Neural Computing and Applications, Springer (2018).
    (Impact Factor : 4.213)
  11. Jen Hong Tan, Sulatha V Bhandary, Sobha Sivaprasad, Yuki Hagiwara, Akanksha Bagchi, U Raghavendra, A Krishna Rao, Biju Raju, Nitin Shridhara Shetty, Arkadiusz Gertych, Kuang Chua Chua, U Rajendra Acharya.
    Age-related Macular Degeneration detection using deep convolutional neural network.
    Future Generation Computer Systems, Elsevier, vol. 87, pp. 127-135 (2018).
    (Impact Factor : 4.639)
  12. U Rajendra Acharya, Ayesha Akter, Pradeep Chowriappa, Sumeet Dua, U Raghavendra, Joel EW Koh, Jen Hong Tan, Sook Sam Leong, Anushya Vijayananthan, Yuki Hagiwara, Marlina Tanty Ramli, Kwan Hoong Ng.
    Use of Nonlinear Features for Automated Characterization of Suspicious Ovarian Tumors Using Ultrasound Images in Fuzzy Forest Framework.
    International Journal of Fuzzy Systems, Springer, no. 4, vol. 20, pp. 1385-1402 (2018).
    (Impact Factor : 2.396)
  13. U Raghavendra, N Shyamasunder Bhat, Anjan Gudigar, U Rajendra Acharya.
    Automated system for the detection of thoracolumbar fractures using a CNN architecture.
    Future Generation Computer Systems, Elsevier, vol. 85, pp. 184-189 (2018).
    (Impact Factor : 4.639)
  14. U Raghavendra, Sulatha V Bhandary, Anjan Gudigar, U Rajendra Acharya.
    Novel expert system for glaucoma identification using non-parametric spatial envelope energy spectrum with fundus images.
    Biocybernetics and Biomedical Engineering, Elsevier, vol. 38, no. 1, pp. 170-180 (2018).
    (Impact Factor : 1.031)
  15. U Raghavendra, Anjan Gudigar, M Maithri, Arkadiusz Gertych, Kristen M Meiburger, Chai Hong Yeong, Chakri Madla, Pailin Kongmebhol, Filippo Molinari, Kwan Hoong Ng, U Rajendra Acharya.
    Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images.
    Computers in Biology and Medicine, Elsevier, vol. 95, pp. 55-62 (2018).
    (Impact Factor : 1.836)
  16. Filippo Molinari, U Raghavendra, Anjan Gudigar, Kristen M Meiburger, U Rajendra Acharya.
    An efficient data mining framework for the characterization of symptomatic and asymptomatic carotid plaque using bidimensional empirical mode decomposition technique.
    Medical & Biological Engineering & Computing, Springer, pp. 1-5 (2018).
    (Impact Factor : 1.971)
  17. U Raghavendra, Hamido Fujita, Sulatha V. Bhandary, Anjan Gudigar, Jen Hong Tan, U. Rajendra Acharya.
    Deep Convolution Neural Network for Accurate Diagnosis of Glaucoma Using Digital Fundus Images.
    Information Sciences, Elsevier, vol. 441, pp. 41-49 (2018).
    (Impact Factor : 4.732)
  18. U Raghavendra, Hamido Fujita, Anjan Gudigar, Ranjan Shetty, Krishnananda Nayak, Umesh Pai, Jyothi Samanth, U Rajendra Acharya.
    Automated technique for coronary artery disease characterization and classification using DD-DTDWT in ultrasound images.
    Biomedical Signal Processing and Control, Elsevier, vol. 40, pp. 324-334 (2018).
    (Impact Factor : 2.214)
  19. U Rajendra Acharya, Hamido Fujita, Shu Lih Oh, U Raghavendra, Jen Hong Tan, Muhammad Adam, Arkadiusz Gertych, Yuki Hagiwara.
    Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network.
    Future Generation Computer Systems, Elsevier, vol. 79, pp. 952-959 (2018).
    (Impact Factor : 3.999)
  20. Anjan Gudigar, Shreesha Chokkadi, U Raghavendra, U Rajendra Acharya.
    An efficient traffic sign recognition based on graph embedding features.
    Neural Computing and Applications, Springer, pp. 1-13 (2017).
    (Impact Factor : 2.5)
  21. Joel EW Koh, U Rajendra Acharya, Yuki Hagiwara, U Raghavendra, Jen Hong Tan, S Vinitha Sree, Sulatha V Bhandary, A Krishna Rao, Sobha Sivaprasad, Kuang Chua Chua, Augustinus Laude, Louis Tong.
    Diagnosis of Retinal Health in Digital Fundus Images Using Continuous Wavelet Transform (CWT) and Entropies.
    Computers in Biology and Medicine, vol. 84, pp. 89-97 (2017).
    (Impact Factor : 1.83)
  22. U. Rajendra Acharya, Yuki Hagiwara, Joel E. W. Koh, Jen Hong Tan, Sulatha V. Bhandary, A. Krishna Rao., U. Raghavendra.
    Automated Screening Tool for Dry and Wet Age-Related Macular Degeneration (ARMD) Using Pyramid of Histogram of Oriented Gradients (PHOG) and Nonlinear Features.
    Journal of Computational Science, Elsevier,20, pp. 41-51 (2017).
    (Impact Factor : 1.74)
  23. Anjan Gudigar, Shreesha Chokkadi, U Raghavendra, U Rajendra Acharya.
    Local Texture Patterns for Traffic Sign Recognition using Higher Order Spectra.
    Pattern Recognition Letters, Elsevier, vol. 94, pp. 202-210 (2017).
    (Impact Factor : 2.0).
  24. U Raghavendra, U Rajendra Acharya, Anjan Gudigar, Jen Hong Tan, Hamido Fujita, Yuki Hagiwara, Filippo Molinari, Pailin Kongmebhol, Kwan Hoong Ng.
    Fusion of spatial gray level dependency and fractal texture features for the characterization of thyroid lesions.
    Ultrasonics, Elsevier, vol. 77, pp. 110-120 (2017).
    (Impact Factor : 2.32)
  25. U Raghavendra, U Rajendra Acharya, Anjan Gudigar, Ranjan Shetty, N Krishnananda, Umesh Pai, Jyothi Samanth, Chaithra Nayak.
    Automated screening of congestive heart failure using variational mode decomposition and texture features extracted from ultrasound images.
    Neural Computing and Applications, Springer, vol. 28, no. 10, pp. 2869–2878 (2017).
    (Impact Factor : 2.5)
  26. U Rajendra Acharya, U Raghavendra, Hamido Fujita, Yuki Hagiwara, Joel EW Koh, Tan Jen Hong, Vidya K Sudarshan, Anushya Vijayananthan, Chai Hong Yeong, Anjan Gudigar, Kwan Hoong Ng.
    Automated Characterization of Fatty Liver Disease and Cirrhosis Using Curvelet Transform and Entropy Features Extracted from Ultrasound Images .
    Computers in Biology and Medicine, Elsevier, vol. 79, pp. 250-258 (2016).
    (Impact Factor : 1.83)
  27. U Raghavendra, U Rajendra Acharya, Hamido Fujita, Anjan Gudigar, Shreesha Chokkadi.
    Application of Gabor Wavelet and Locality Sensitive Discriminant Analysis for Automated Identification of Breast Cancer Using Digitized Mammogram Images.
    Applied Soft Computing, Elsevier, vol. 46, pp. 151-161 (2016 ).
    (Impact Factor : 3.54)
  28. U. Raghavendra, U. Rajendra Acharya, E. Y. K. Ng, Jen-Hong Tan, Anjan Gudigar.
    An Integrated Index for Breast Cancer Identification using Histogram of Oriented Gradient and Kernel Locality Preserving Projection Features Extracted from Thermograms.
    Quantitative Infrared Thermography Journal, vol. 13, Number 2, pp. 195-209 (2016).
  29. Anjan Gudigar, Shreesha Chokkadi, U Raghavendra, U Rajendra Acharya.
    Multiple thresholding and subspace based approach for detection and recognition of traffic sign.
    Multimedia Tools and Applications, Springer, vol. 76, no. 5, pp. 6973-6991 (2016).
    (Impact Factor : 1.5)
  30. U. Rajendra Acharya, Hamido Fujita, Shreya Bhat, U. Raghavendra, Anjan Gudigar, Filippo Molinari, Anushya Vijayananthan, Kwan Hoong Ng.
    Decision support system for fatty liver disease using GIST descriptors extracted from ultrasound images .
    Information Fusion, Elsevier, vol. 29, pp. 32-39 (2016).
    (Impact Factor : 5.66)
  31. Raghavendra U, Krishnamoorthi Makkithaya and Karunakar A K.
    Anchor Diagonal Based Adaptive Local Support Region for Efficient Stereo Matching.
    Signal, Image and Video Processing, Springer, vol. 9, no. 4, pp. 893-901 (2013).
    (Impact Factor : 1.1)
  32. Anjan Gudigar, Shreesha Chokkadi and Raghavendra U.
    A review on automatic detection and recognition of traffic sign.
    Multimedia Tools and Applications, Springer, vol. 75, no. 1, pp. 333-364 (2013).
    (Impact Factor : 1.34)
  33. Raghavendra U, Krishnamoorthi Makkithaya and Karunakar A K.
    Structural Similarity Based Ranking of Stereo Algorithms for Dynamic Adaptation in Real-Time Robot Navigation.
    Journal of Computational Vision and Robotics, InderScience, vol. 4, no. 4, pp. 281-293 (2014).


CONFERENCE PROCEEDINGS
 
  1. Abhilash K. Pai, Karunakar A K., Raghavendra U.
    A Novel Crowd Density Estimation Technique using Local Binary Pattern and Gabor Features.
    In the Proceedings of 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2017) , pp. 1-6., Lecce, Italy (2017).
  2. Raghavendra U, Krishnamoorthi Makkithaya, Karunakar A K.
    Illumination Invariant Stereo Data Cost Using Modified Census Transform.
    IJCA Proceedings on National Conference on Recent Advances in Information Technology NCRAIT (2):38-41, Published by Foundation of Computer Science, New York, USA (2014).
    (Received best paper award).
  3. Raghavendra U, Krishnamoorthi Makkithaya and Karunakar A K.
    Modified Census Correlation Data Cost for Stereo Matching Under Non-Ideal Illumination.
    International Conference on Multimedia Processing, Communication and Information Technology - MPCIT 2013 pp. 223-227, India (2013).
  4. Akshatha K R, Anitha H, Karunakar A K, Raghavendra U, Dinesh Shetty.
    Source Camera Identification Using Wavelet Feature Fusion Technique.
    International Conference on Multimedia Processing, Communication and Information Technology - MPCIT 2013, pp. 257-263, India (2013).
  5. Raghavendra U, Krishnamoorthi Makkithaya, Karunakar A K.
    Range Structural Similarity Index for Evaluation of Stereo Disparity under Radiometric Variations.
    ERC Co-located workshop in ICVGIP, IIT Bombay (2012).
  6. Raghavendra U, Krishnamoorthi Makkithaya, Karunakar A K.
    Entropy Based Log Chromaticity Projection for Real-time Stereo Matching.
    International Conference on Communication, Computing and Security (ICCCS’12), vol. 6, pp. 223 to 230 October 6th – 8th 2012 at NIT, Rourkela published by Procedia Technology -Elsevier (2012).
  7. Raghavendra U, P K Mahesh, Anjan Gudigar.
    A Novel Face Recognition Method using PCA, LDA and Support Vector Machine.
    CCSIT, Springer Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol.85, pp-241-249, 2012.CCSIT, Springer Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol.85, pp-241-249 (2012).
  8. Anjan Gudigar, B N Jagadale, Mahesh P K and Raghavendra U.
    Kernel based Traffic Sign Detection and Recognition Using SVM.
    ICECCS, Springer Communications in Computer and Information Science, pp.153-161(2012).
  9. Raghavendra U, Krishnamoorthi Makkithaya, Karunakar A K.
    Qualitative and Quantitative Evaluation of Correlation Based Stereo Matching Algorithms.
    Lecture Notes in Computer Science, Springer Berlin / Heidelberg, International Conference on Advanced Computing, Networking and Security, pp. 242- 252, 16th December 2011, NITK, Surthkal (2011).