Magnetic resonance image reconstruction using fast interpolated compressed sensing S Datta, B Deka Journal of Optics 47 (2), 154-165, 2018 | 6 | 2018 |

Sparse regularization method for the detection and removal of random-valued impulse noise B Deka, M Handique, S Datta Multimedia Tools and Applications 76 (5), 6355-6388, 2017 | 6 | 2017 |

Wavelet tree support detection for compressed sensing MRI reconstruction B Deka, S Datta, S Handique IEEE Signal Processing Letters 25 (5), 730-734, 2018 | 5 | 2018 |

Weighted wavelet tree sparsity regularization for compressed sensing magnetic resonance image reconstruction B Deka, S Datta Advances in Electronics, Communication and Computing, 449-457, 2018 | 3 | 2018 |

Efficient adaptive weighted minimization for compressed sensing magnetic resonance image reconstruction S Datta, B Deka Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and …, 2016 | 3 | 2016 |

A practical under-sampling pattern for compressed sensing MRI B Deka, S Datta Advances in Communication and Computing, 115-125, 2015 | 3 | 2015 |

Efficient interpolated compressed sensing reconstruction scheme for 3D MRI S Datta, B Deka IET Image Processing 12 (11), 2119-2127, 2018 | 2 | 2018 |

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 | 2 | 2016 |

High throughput MR image reconstruction using compressed sensing B Deka, S Datta Proceedings of the 2014 Indian Conference on Computer Vision Graphics and …, 2014 | 2 | 2014 |

Multi-channel, multi-slice, and multi-contrast compressed sensing MRI using weighted forest sparsity and joint TV regularization priors S Datta, B Deka Soft Computing for Problem Solving, 821-832, 2019 | 1 | 2019 |

Interpolated Compressed Sensing for Calibrationless Parallel MRI Reconstruction S Datta, B Deka 2019 National Conference on Communications (NCC), 1-6, 2019 | | 2019 |

Applications of CS-MRI in Bioinformatics and Neuroinformatics B Deka, S Datta Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms, 111-122, 2019 | | 2019 |

CS-MRI Benchmarks and Current Trends B Deka, S Datta Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms, 99-110, 2019 | | 2019 |

CS-MRI Reconstruction Problem B Deka, S Datta Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms, 23-29, 2019 | | 2019 |

Performance Evaluation of CS-MRI Reconstruction Algorithms B Deka, S Datta Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms, 75-98, 2019 | | 2019 |

Fast Algorithms for Compressed Sensing MRI Reconstruction B Deka, S Datta Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms, 31-74, 2019 | | 2019 |

Introduction to Compressed Sensing Magnetic Resonance Imaging B Deka, S Datta Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms, 1-22, 2019 | | 2019 |

Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms: A Convex Optimization Approach B Deka, S Datta Springer, 2018 | | 2018 |

Random-Valued Impulse Denoising usingSparse Regularizations B Deka, M Handique, S Datta Third International Conference on Image Information Processing (ICIIP-2015), 2015 | | 2015 |

A simple machine vision technique to assess quality of rice grains S Datta, U Bhattacharjya, S Kalita, B Deka IPFP-2015, National Seminar Cum Workshop on Innovative Prospects in Food …, 2015 | | 2015 |