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Personal profile

Research Interests

Instrumentation Technology

Education/Academic qualification

Electronics, PhD

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Research Output 2012 2019

  • 207 Citations
  • 9 h-Index
  • 25 Article
  • 5 Conference contribution

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
Magnetic resonance imaging
4 Citations

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
Aging of materials

An efficient data mining framework for the characterization of symptomatic and asymptomatic carotid plaque using bidimensional empirical mode decomposition technique

Molinari, F., Raghavendra, U., Gudigar, A., Meiburger, K. M. & Rajendra Acharya, U., 23-02-2018, (Accepted/In press) In : Medical and Biological Engineering and Computing. p. 1-15 15 p.

Research output: Contribution to journalArticle

Data mining
4 Citations

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
3 Citations

Automated technique for coronary artery disease characterization and classification using DD-DTDWT in ultrasound images

Raghavendra, U., Fujita, H., Gudigar, A., Shetty, R., Nayak, K., Pai, U., Samanth, J. & Acharya, U. R., 01-02-2018, In : Biomedical Signal Processing and Control. 40, p. 324-334 11 p.

Research output: Contribution to journalArticle

Wavelet Analysis
Discrete wavelet transforms
Coronary Artery Disease
Computer aided diagnosis