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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.

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Research Output 2011 2019

  • 236 Citations
  • 9 h-Index
  • 18 Article
  • 5 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
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
Imaging techniques
Computer aided diagnosis
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

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

Computer aided diagnosis
X rays
Pulmonary diseases
Support vector machines
8 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

Network architecture
Computer aided diagnosis
Neural networks
Imaging techniques