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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.

  • 23 Similar Profiles
Computer aided diagnosis Engineering & Materials Science
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Ultrasonics Engineering & Materials Science
Classifiers Engineering & Materials Science
Support vector machines Engineering & Materials Science
Neural networks Engineering & Materials Science
Liver Engineering & Materials Science

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Research Output 2012 2019

  • 366 Citations
  • 11 h-Index
  • 28 Article
  • 6 Conference contribution
5 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

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
36 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
11 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
6 Citations (Scopus)

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
Ultrasonics
Decomposition
Elasticity
Screening