If you made any changes in Pure these will be visible here soon.

Personal profile

Research interests

Instrumentation and Control Engineering

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.

  • 26 Similar Profiles
Traffic signs Engineering & Materials Science
Computer aided diagnosis Engineering & Materials Science
Ultrasonics Engineering & Materials Science
Screening Engineering & Materials Science
Classifiers Engineering & Materials Science
Support vector machines Engineering & Materials Science
Discriminant analysis Engineering & Materials Science
Liver Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2011 2019

  • 153 Citations
  • 8 h-Index
  • 16 Article
  • 4 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
Brain
Neurology
Magnetic resonance imaging

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
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
Tomography
12 Citations

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
2 Citations
Expert systems
Classifiers
Radon
Optics
Screening