| Removal of correlated speckle noise using sparse and overcomplete representations B Deka, PK Bora Biomedical Signal Processing and Control 8 (6), 520-533, 2013 | 25 | 2013 |
| Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms B Deka, S Datta Springer series on bio-and neurosystems, 2019 | 22 | 2019 |
| Wavelet tree support detection for compressed sensing MRI reconstruction B Deka, S Datta, S Handique IEEE Signal Processing Letters 25 (5), 730-734, 2018 | 22 | 2018 |
| Coded-aperture computational millimeter-wave image classifier using convolutional neural network R Sharma, R Hussung, A Keil, F Friederich, T Fromenteze, M Khalily, ... IEEE access 9, 119830-119844, 2021 | 18 | 2021 |
| Hardware enabled acceleration of near-field coded aperture radar physical model for millimetre-wave computational imaging R Sharma, O Yurduseven, B Deka, V Fusco Progress In Electromagnetics Research B 90, 91-108, 2021 | 18 | 2021 |
| Sparse Regularization Method for the Detection and Removal of Random-Valued Impulse noise B Deka, M Handique, S Datta Multimedia Tools and Applications, 2016 | 18 | 2016 |
| A multiscale detection based adaptive median filter for the removal of salt and pepper noise from highly corrupted images B Deka, S Choudhury International Journal of Signal Processing, Image Processing and Pattern …, 2013 | 18 | 2013 |
| Watershed segmentation for medical ultrasound images B Deka, D Ghosh 2006 IEEE International Conference on Systems, Man and Cybernetics 4, 3186-3191, 2006 | 18 | 2006 |
| Efficient interpolated compressed sensing reconstruction scheme for 3D MRI S Datta, B Deka IET Image Processing 12 (11), 2119-2127, 2018 | 16 | 2018 |
| Magnetic resonance image reconstruction using fast interpolated compressed sensing S Datta, B Deka Journal of Optics 47, 154-165, 2018 | 16 | 2018 |
| A linear prediction based switching median filter for the removal of salt and pepper noise from highly corrupted image B Deka, D Baishnab 2012 2nd National Conference on Computational Intelligence and Signal …, 2012 | 16 | 2012 |
| Removal of random-valued impulse noise using sparse representation B Deka, PK Bora 2011 National Conference on Communications (NCC), 1-5, 2011 | 15 | 2011 |
| An improved multiscale distribution entropy for analyzing complexity of real-world signals B Deka, D Deka Chaos, Solitons & Fractals 158, 112101, 2022 | 14 | 2022 |
| Multichannel ECG compression using Block-Sparsity-based joint compressive sensing S Kumar, B Deka, S Datta Circuits, Systems, and Signal Processing 39 (12), 6299-6315, 2020 | 14 | 2020 |
| Calibrationless joint compressed sensing reconstruction for rapid parallel MRI B Deka, S Datta Biomedical Signal Processing and Control 58, 101871, 2020 | 13 | 2020 |
| Despeckling of medical ultrasound images using sparse representation B Deka, PK Bora 2010 International Conference on Signal Processing and Communications (SPCOM …, 2010 | 13 | 2010 |
| Characterization of heart rate variability signal for distinction of meditative and pre-meditative states D Deka, B Deka Biomedical Signal Processing and Control 66, 102414, 2021 | 11 | 2021 |
| An efficient interpolated compressed sensing method for highly correlated 2D multi-slice MRI S Datta, B Deka, HU Mullah, S Kumar 2016 International Conference on Accessibility to Digital World (ICADW), 187-192, 2016 | 11 | 2016 |
| Ultrasound image segmentation using watersheds and region merging B Deka, D Ghosh 2006 IET International Conference on Visual Information Engineering, 110-115, 2006 | 10 | 2006 |
| Fast multi‐spectral image super‐resolution via sparse representation HU Mullah, B Deka, AVV Prasad IET Image Processing 14 (12), 2833-2844, 2020 | 9 | 2020 |
Sumit DattaAssistant Professor, SoESA, Kerala University of Digital Sciences, Innovation and TechnologyVerified email at duk.ac.in
