Sumit Datta

Orcid: 0000-0003-2481-8184

According to our database1, Sumit Datta authored at least 20 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Opportunities and Challenges in Data-Centric AI.
IEEE Access, 2024

Applications, Challenges, and Future Directions of Human-in-the-Loop Learning.
IEEE Access, 2024

2023
Potential Impact of Data-Centric AI on Society.
IEEE Technol. Soc. Mag., September, 2023

Joint Sparse Representation-based Single Image Super-Resolution for Remote Sensing Applications.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

2022
A deep framework for enhancement of diagnostic information in CSMRI reconstruction.
Biomed. Signal Process. Control., 2022

Interleaved Hybrid Domain Learning for Super-Resolution MRI.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2020
Sparse Representation based Super-Resolution of MRI Images with Non-Local Total Variation Regularization.
SN Comput. Sci., 2020

Multichannel ECG Compression using Block-Sparsity-based Joint Compressive Sensing.
Circuits Syst. Signal Process., 2020

Diffusion-weighted and spectroscopic MRI super-resolution using sparse representations.
Biomed. Signal Process. Control., 2020

Calibrationless joint compressed sensing reconstruction for rapid parallel MRI.
Biomed. Signal Process. Control., 2020

2019
Weighted Block Compressed Sensing for Multichannel Fetal ECG Reconstruction.
Proceedings of the TENCON 2019, 2019

Block-Sparsity Based Compressed Sensing for Multichannel ECG Reconstruction.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

Group-Sparsity Based Compressed Sensing Reconstruction for Fast Parallel MRI.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

Interpolated Compressed Sensing for Calibrationless Parallel MRI Reconstruction.
Proceedings of the National Conference on Communications, 2019

2018
Wavelet Tree Support Detection for Compressed Sensing MRI Reconstruction.
IEEE Signal Process. Lett., 2018

Efficient interpolated compressed sensing reconstruction scheme for 3D MRI.
IET Image Process., 2018

2017
Sparse regularization method for the detection and removal of random-valued impulse noise.
Multim. Tools Appl., 2017

Multi-channel, Multi-slice, and Multi-contrast Compressed Sensing MRI Using Weighted Forest Sparsity and Joint TV Regularization Priors.
Proceedings of the Soft Computing for Problem Solving, 2017

2016
Efficient adaptive weighted minimization for compressed sensing magnetic resonance image reconstruction.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016

2014
High Throughput MR Image Reconstruction Using Compressed Sensing.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014


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