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2020 – today
- 2024
[j19]Rahul Sharma
, Bhabesh Deka, Vincent F. Fusco, Okan Yurduseven:
Integrated convolutional neural networks for joint super-resolution and classification of radar images. Pattern Recognit. 150: 110351 (2024)- [j18]Sushant Kumar, Ram Bilas Pachori, Bhabesh Deka, Sumit Datta:
Opportunities and Challenges in Deep Compressed Sensing Techniques for Multichannel ECG Data Compression. SN Comput. Sci. 5(8): 1147 (2024) - [j17]Trishna Barman, Bhabesh Deka:
A Deep Learning-Based Joint Image Super-Resolution and Deblurring Framework. IEEE Trans. Artif. Intell. 5(6): 3160-3173 (2024) - 2023
- [j16]Dipen Deka, Bhabesh Deka:
Detection of Meditation-Induced HRV Dynamics Using Averaging Technique-Based Oversampled Feature Set and Machine Learning Classifiers. IEEE Access 11: 29576-29590 (2023) - [j15]Trishna Barman, Bhabesh Deka, Helal Uddin Mullah:
Edge-Preserving Single Remote-Sensing Image Super-resolution Using Sparse Representations. SN Comput. Sci. 4(3): 312 (2023) - [j14]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) - [c14]Debarun Chakraborty, Bhabesh Deka:
Litchi Fruit Instance Segmentation from UAV Sensed Images Using Spatial Attention-Based Deep Learning Model. PReMI 2023: 862-870 - 2022
- [j13]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) - 2021
- [j12]Dipen Deka, Bhabesh Deka:
Stratification of High-Risk Hypertensive Patients Using Hybrid Heart Rate Variability Features and Boosting Algorithms. IEEE Access 9: 62665-62675 (2021) - [j11]Rahul Sharma, Raphael Hussung, Andreas Keil, Fabian Friederich, Thomas Fromenteze, Mohsen Khalily, Bhabesh Deka, Vincent F. Fusco, Okan Yurduseven:
Coded-Aperture Computational Millimeter-Wave Image Classifier Using Convolutional Neural Network. IEEE Access 9: 119830-119844 (2021) - [j10]Dipen Deka, Bhabesh Deka:
Characterization of heart rate variability signal for distinction of meditative and pre-meditative states. Biomed. Signal Process. Control. 66: 102414 (2021) - 2020
- [j9]Bhabesh Deka, Sumit Datta:
Calibrationless joint compressed sensing reconstruction for rapid parallel MRI. Biomed. Signal Process. Control. 58: 101871 (2020) - [j8]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) - [j7]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) - [j6]Helal Uddin Mullah, Bhabesh Deka, A. V. V. Prasad:
Fast multi-spectral image super-resolution via sparse representation. IET Image Process. 14(12): 2833-2844 (2020) - [j5]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
- [c13]Sumit Datta, Bhabesh Deka:
Interpolated Compressed Sensing for Calibrationless Parallel MRI Reconstruction. NCC 2019: 1-6 - [c12]Sumit Datta, Bhabesh Deka:
Group-Sparsity Based Compressed Sensing Reconstruction for Fast Parallel MRI. PReMI (2) 2019: 70-77 - [c11]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 - [c10]Sushant Kumar, Bhabesh Deka, Sumit Datta:
Block-Sparsity Based Compressed Sensing for Multichannel ECG Reconstruction. PReMI (2) 2019: 210-217 - [c9]Helal Uddin Mullah, Bhabesh Deka, Trishna Barman, A. V. V. Prasad:
Sparsity Regularization Based Spatial-Spectral Super-Resolution of Multispectral Imagery. PReMI (1) 2019: 523-531 - [c8]Sushant Kumar, Bhabesh Deka, Sumit Datta:
Weighted Block Compressed Sensing for Multichannel Fetal ECG Reconstruction. TENCON 2019: 2324-2328 - [e2]Bhabesh Deka, Pradipta Maji, Sushmita Mitra, Dhruba Kumar Bhattacharyya, Prabin Kumar Bora, Sankar Kumar Pal:
Pattern Recognition and Machine Intelligence - 8th International Conference, PReMI 2019, Tezpur, India, December 17-20, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11941, Springer 2019, ISBN 978-3-030-34868-7 [contents] - [e1]Bhabesh Deka, Pradipta Maji, Sushmita Mitra, Dhruba Kumar Bhattacharyya, Prabin Kumar Bora, Sankar Kumar Pal:
Pattern Recognition and Machine Intelligence - 8th International Conference, PReMI 2019, Tezpur, India, December 17-20, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11942, Springer 2019, ISBN 978-3-030-34871-7 [contents] - 2018
- [j4]Sumit Datta, Bhabesh Deka:
Efficient interpolated compressed sensing reconstruction scheme for 3D MRI. IET Image Process. 12(11): 2119-2127 (2018) - [j3]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
- [j2]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) - [c7]Helal Uddin Mullah, Bhabesh Deka:
A Fast Satellite Image Super-Resolution Technique Using Multicore Processing. HIS 2017: 51-60 - [c6]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
- [c5]Sumit Datta, Bhabesh Deka:
Efficient adaptive weighted minimization for compressed sensing magnetic resonance image reconstruction. ICVGIP 2016: 95:1-95:8 - 2014
- [c4]Bhabesh Deka, Sumit Datta:
High Throughput MR Image Reconstruction Using Compressed Sensing. ICVGIP 2014: 89:1-89:6 - 2013
- [j1]Bhabesh Deka, Prabin Kumar Bora:
Removal of correlated speckle noise using sparse and overcomplete representations. Biomed. Signal Process. Control. 8(6): 520-533 (2013) - [c3]Bhabesh Deka, Kanchan Kumar Gorain, Navadeep Kalita, Biplab Das:
Single image super-resolution using compressive sensing with learned overcomplete dictionary. NCVPRIPG 2013: 1-5 - 2012
- [c2]Bhabesh Deka, Dipranjan Baishnab:
Removal of random-valued impulse noise using overcomplete DCT dictionary. CUBE 2012: 42-46
2000 – 2009
- 2006
- [c1]Bhabesh Deka, Debashis Ghosh:
Watershed Segmentation for Medical Ultrasound Images. SMC 2006: 3186-3191
Coauthor Index
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