U Raghavendra

Employment

• Manipal Institute of Technology Assistant Professor
  2014 - Present

Education

• Manipal Institute of Technology PhD
  2010 - 2014
• NMAM Institute of Technology M. Tech.
  2008 - 2010
• Anjuman Institute of Technology and Management B. E.
  2002 - 2006

Projects & Funding

Projects & funding information is unavailable.

Publications (23)

• A Review of Deep Learning Techniques for EEG-Based Emotion Recognition: Models, Methods, and Datasets [version 2; peer review: 2 approved, 1 not approved]
  2026 DOI: 10.12688/f1000research.171170.2
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• Novel Hypertrophic Cardiomyopathy Diagnosis Index Using Deep Features and Local Directional Pattern Techniques
  Journal of Imaging 2022 DOI: 10.3390/jimaging8040102
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• Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding
  Informatics 2022 DOI: 10.3390/informatics9020034
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• Automated Intracranial Hematoma Classification in Traumatic Brain Injury (TBI) Patients Using Meta-Heuristic Optimization Techniques
  Informatics 2022 DOI: 10.3390/informatics9010004
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• Development of a Computational Tool for the Estimation of Alveolar Bone Loss in Oral Radiographic Images
  Computation 2022 DOI: 10.3390/computation10010008
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• Automated screening of congestive heart failure using variational mode decomposition and texture features extracted from ultrasound images
  Neural Computing and Applications 2017 DOI: 10.1007/s00521-017-2839-5
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• Fusion of spatial gray level dependency and fractal texture features for the characterization of thyroid lesions
  Ultrasonics 2017 DOI: 10.1016/j.ultras.2017.02.003
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• Decision support system for fatty liver disease using GIST descriptors extracted from ultrasound images
  Information Fusion 2016 DOI: 10.1016/j.inffus.2015.09.006
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• Multiple thresholding and subspace based approach for detection and recognition of traffic sign
  Multimedia Tools and Applications 2016 DOI: 10.1007/s11042-016-3321-6
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• Local texture patterns for traffic sign recognition using higher order spectra
  Pattern Recognition Letters 2016 DOI: 10.1016/j.patrec.2017.02.016
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