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2020 – today
- 2024
[j12]Sushant Kumar
, Sumit Datta, Vishakha Singh, Sanjay Kumar Singh, Ritesh Sharma:
Opportunities and Challenges in Data-Centric AI. IEEE Access 12: 33173-33189 (2024)- [j11]Sushant Kumar, Sumit Datta, Vishakha Singh, Deepanwita Datta, Sanjay Kumar Singh, Ritesh Sharma:
Applications, Challenges, and Future Directions of Human-in-the-Loop Learning. IEEE Access 12: 75735-75760 (2024) - 2023
- [j10]Bhabesh Deka, Helal Uddin Mullah, Trishna Barman, Sumit Datta:
Joint Sparse Representation-based Single Image Super-Resolution for Remote Sensing Applications. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 2352-2365 (2023) - [j9]Sushant Kumar, Ritesh Sharma, Vishakha Singh, Shrikant Tiwari, Sanjay Kumar Singh, Sumit Datta:
Potential Impact of Data-Centric AI on Society. IEEE Technol. Soc. Mag. 42(3): 98-107 (2023) - 2022
- [j8]Sumit Datta, Samarendra Dandapat, Bhabesh Deka:
A deep framework for enhancement of diagnostic information in CSMRI reconstruction. Biomed. Signal Process. Control. 71(Part): 103117 (2022) - [c9]Vazim Ibrahim, Sumit Datta, Alex Pappachen James, Joseph Suresh Paul:
Interleaved Hybrid Domain Learning for Super-Resolution MRI. ISCAS 2022: 3433-3437 - 2020
- [j7]Bhabesh Deka, Sumit Datta:
Calibrationless joint compressed sensing reconstruction for rapid parallel MRI. Biomed. Signal Process. Control. 58: 101871 (2020) - [j6]Bhabesh Deka, Sumit Datta, Helal Uddin Mullah, Suman Hazarika:
Diffusion-weighted and spectroscopic MRI super-resolution using sparse representations. Biomed. Signal Process. Control. 60: 101941 (2020) - [j5]Sushant Kumar, Bhabesh Deka, Sumit Datta:
Multichannel ECG Compression using Block-Sparsity-based Joint Compressive Sensing. Circuits Syst. Signal Process. 39(12): 6299-6315 (2020) - [j4]Bhabesh Deka, Helal Uddin Mullah, Sumit Datta, Vijaya Lakshmi, Rajarajeswari Ganesan:
Sparse Representation based Super-Resolution of MRI Images with Non-Local Total Variation Regularization. SN Comput. Sci. 1(5): 260 (2020)
2010 – 2019
- 2019
- [c8]Sumit Datta, Bhabesh Deka:
Interpolated Compressed Sensing for Calibrationless Parallel MRI Reconstruction. NCC 2019: 1-6 - [c7]Sumit Datta, Bhabesh Deka:
Group-Sparsity Based Compressed Sensing Reconstruction for Fast Parallel MRI. PReMI (2) 2019: 70-77 - [c6]Bhabesh Deka, Helal Uddin Mullah, Sumit Datta, Vijaya Lakshmi, Rajarajeswari Ganesan:
Sparse Representation Based Super-Resolution of MRI Images with Non-Local Total Variation Regularization. PReMI (2) 2019: 78-86 - [c5]Sushant Kumar, Bhabesh Deka, Sumit Datta:
Block-Sparsity Based Compressed Sensing for Multichannel ECG Reconstruction. PReMI (2) 2019: 210-217 - [c4]Sushant Kumar, Bhabesh Deka, Sumit Datta:
Weighted Block Compressed Sensing for Multichannel Fetal ECG Reconstruction. TENCON 2019: 2324-2328 - 2018
- [j3]Sumit Datta, Bhabesh Deka:
Efficient interpolated compressed sensing reconstruction scheme for 3D MRI. IET Image Process. 12(11): 2119-2127 (2018) - [j2]Bhabesh Deka, Sumit Datta, Sanjeev Handique:
Wavelet Tree Support Detection for Compressed Sensing MRI Reconstruction. IEEE Signal Process. Lett. 25(5): 730-734 (2018) - 2017
- [j1]Bhabesh Deka, Maitrayee Handique, Sumit Datta:
Sparse regularization method for the detection and removal of random-valued impulse noise. Multim. Tools Appl. 76(5): 6355-6388 (2017) - [c3]Sumit Datta, Bhabesh Deka:
Multi-channel, Multi-slice, and Multi-contrast Compressed Sensing MRI Using Weighted Forest Sparsity and Joint TV Regularization Priors. SocProS (1) 2017: 821-832 - 2016
- [c2]Sumit Datta, Bhabesh Deka:
Efficient adaptive weighted minimization for compressed sensing magnetic resonance image reconstruction. ICVGIP 2016: 95:1-95:8 - 2014
- [c1]Bhabesh Deka, Sumit Datta:
High Throughput MR Image Reconstruction Using Compressed Sensing. ICVGIP 2014: 89:1-89:6
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last updated on 2024-10-07 21:15 CEST by the dblp team
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