B.S. Raghavendra
B.S. Raghavendra
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Computing fractal dimension of signals using multiresolution box-counting method
BS Raghavendra, ND Dutt
International Journal of Information and Mathematical Sciences 6 (1), 50-65, 2010
Complexity analysis of EEG in patients with schizophrenia using fractal dimension
BS Raghavendra, DN Dutt, HN Halahalli, JP John
Physiological measurement 30 (8), 795, 2009
A note on fractal dimensions of biomedical waveforms
BS Raghavendra, DN Dutt
Computers in Biology and Medicine 39 (11), 1006-1012, 2009
Cardiac arrhythmia detection using dynamic time warping of ECG beats in e-healthcare systems
BS Raghavendra, D Bera, AS Bopardikar, R Narayanan
2011 IEEE International Symposium on a World of Wireless, Mobile and …, 2011
Signal characterization using fractal dimension
BS Raghavendra, DN Dutt
Fractals 18 (03), 287-292, 2010
Efficient deep learning architecture with dimension-wise pyramid pooling for nuclei segmentation of histopathology images
AA Aatresh, RP Yatgiri, AK Chanchal, A Kumar, A Ravi, D Das, ...
Computerized Medical Imaging and Graphics 93, 101975, 2021
Wavelet enhanced CCA for minimization of ocular and muscle artifacts in EEG
BS Raghavendra, DN Dutt
World Academy of Science, Engineering and Technology 57 (6), 1027-32, 2011
CloudX-net: A robust encoder-decoder architecture for cloud detection from satellite remote sensing images
S Kanu, R Khoja, S Lal, BS Raghavendra, CS Asha
Remote Sensing Applications: Society and Environment 20, 100417, 2020
Nonlinear dynamical characterization of heart rate variability time series of meditation
BS Raghavendra, DN Dutt
health 5 (9), 429-440, 2011
Contourlet based multiresolution texture segmentation using contextual Hidden Markov Models
BS Raghavendra, PS Bhat
International Conference on Intelligent Information Technology, 336-343, 2004
Multiscale fractal dimension technique for characterization and analysis of biomedical signals
BS Raghavendra, DN Dutt
2011 Digital Signal Processing and Signal Processing Education Meeting (DSP …, 2011
Prototype learning methods for online handwriting recognition
BS Raghavendra, CK Narayanan, G Sita, AG Ramakrishnan, ...
Eighth International Conference on Document Analysis and Recognition (ICDAR …, 2005
Subtractive clustering and phase correlation similarity measure for endmember extraction
PY Palla, A Shetty, BS Raghavendra, AV Narasimhadhan
Infrared Physics & Technology 110, 103452, 2020
Correction of ocular artifacts in EEG recordings using empirical mode decomposition
BS Raghavendra, DN Dutt
Method and apparatus for classifying cardiac arrhythmia
D Bera, RBS Bhatta, R Narayanan, S Chakroborty, P Pankajakshan
US Patent 9,380,956, 2016
Machine learning techniques for periodontitis and dental caries detection: A Narrative Review
RC Radha, BS Raghavendra, BV Subhash, J Rajan, AV Narasimhadhan
International journal of medical informatics, 105170, 2023
Effectiveness of phase correlation spectral similarity measure in distinguishing target signatures for hyperspectral data analysis
PP Yadav, A Shetty, BS Raghavendra, AV Narasimhadhan
2020 IEEE 17th India Council International Conference (INDICON), 1-5, 2020
Gradient based spectral similarity measure for hyperspectral image analysis
PP Yadav, A Shetty, BS Raghavendra, AV Narasimhadhan
2021 IEEE International India Geoscience and Remote Sensing Symposium …, 2021
Similarity measures in generating spectrally distinct targets
PP Yadav, A Shetty, BS Raghavendra, AV Narasimhadhan
2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS), 221-224, 2020
Finite rate of innovation signal reconstruction using residual neural networks
PS Reddy, A Premkumar, B Saikiran, BS Raghavendra, ...
2020 IEEE 4th Conference on Information & Communication Technology (CICT), 1-6, 2020
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