Sumit Datta
Sumit Datta
Electronics and Communication Engineering, Tezpur University
Verified email at tezu.ernet.in - Homepage
TitleCited byYear
Magnetic resonance image reconstruction using fast interpolated compressed sensing
S Datta, B Deka
Journal of Optics 47 (2), 154-165, 2018
62018
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
62017
Wavelet tree support detection for compressed sensing MRI reconstruction
B Deka, S Datta, S Handique
IEEE Signal Processing Letters 25 (5), 730-734, 2018
52018
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
32018
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
32016
A practical under-sampling pattern for compressed sensing MRI
B Deka, S Datta
Advances in Communication and Computing, 115-125, 2015
32015
Efficient interpolated compressed sensing reconstruction scheme for 3D MRI
S Datta, B Deka
IET Image Processing 12 (11), 2119-2127, 2018
22018
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
22016
High throughput MR image reconstruction using compressed sensing
B Deka, S Datta
Proceedings of the 2014 Indian Conference on Computer Vision Graphics and …, 2014
22014
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
12019
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
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Articles 1–20