Watershed Segmentation for Medical Ultrasound Images. - Bhabesh Deka; Debashis Ghosh (SMC, 2006)

Removal of random-valued impulse noise using overcomplete DCT dictionary. - Bhabesh Deka; Dipranjan Baishnab (CUBE, 2012)

Single image super-resolution using compressive sensing with learned overcomplete dictionary. - Bhabesh Deka; Kanchan Kumar Gorain; Navadeep Kalita; Biplab Das (NCVPRIPG, 2013)

Removal of correlated speckle noise using sparse and overcomplete representations. - Bhabesh Deka; Prabin Kumar Bora (Biomed. Signal Process. Control., 2013)

High Throughput MR Image Reconstruction Using Compressed Sensing. - Bhabesh Deka; Sumit Datta (ICVGIP, 2014)

Efficient adaptive weighted minimization for compressed sensing magnetic resonance image reconstruction. - Sumit Datta; Bhabesh Deka (ICVGIP, 2016)

A Fast Satellite Image Super-Resolution Technique Using Multicore Processing. - Helal Uddin Mullah; Bhabesh Deka (HIS, 2017)

Multi-channel, Multi-slice, and Multi-contrast Compressed Sensing MRI Using Weighted Forest Sparsity and Joint TV Regularization Priors. - Sumit Datta; Bhabesh Deka (SocProS (1), 2017)

Sparse regularization method for the detection and removal of random-valued impulse noise. - Bhabesh Deka; Maitrayee Handique; Sumit Datta (Multim. Tools Appl., 2017)

Efficient interpolated compressed sensing reconstruction scheme for 3D MRI. - Sumit Datta; Bhabesh Deka (IET Image Process., 2018)

Wavelet Tree Support Detection for Compressed Sensing MRI Reconstruction. - Bhabesh Deka; Sumit Datta; Sanjeev Handique (IEEE Signal Process. Lett., 2018)

Interpolated Compressed Sensing for Calibrationless Parallel MRI Reconstruction. - Sumit Datta; Bhabesh Deka (NCC, 2019)

Group-Sparsity Based Compressed Sensing Reconstruction for Fast Parallel MRI. - Sumit Datta; Bhabesh Deka (PReMI (2), 2019)

Block-Sparsity Based Compressed Sensing for Multichannel ECG Reconstruction. - Sushant Kumar; Bhabesh Deka; Sumit Datta (PReMI (2), 2019)

Sparsity Regularization Based Spatial-Spectral Super-Resolution of Multispectral Imagery. - Helal Uddin Mullah; Bhabesh Deka; Trishna Barman; A. V. V. Prasad (PReMI (1), 2019)

Weighted Block Compressed Sensing for Multichannel Fetal ECG Reconstruction. - Sushant Kumar; Bhabesh Deka; Sumit Datta (TENCON, 2019)

Calibrationless joint compressed sensing reconstruction for rapid parallel MRI. - Bhabesh Deka; Sumit Datta (Biomed. Signal Process. Control., 2020)

Diffusion-weighted and spectroscopic MRI super-resolution using sparse representations. - Bhabesh Deka; Sumit Datta; Helal Uddin Mullah; Suman Hazarika (Biomed. Signal Process. Control., 2020)

Multichannel ECG Compression using Block-Sparsity-based Joint Compressive Sensing. - Sushant Kumar; Bhabesh Deka; Sumit Datta (Circuits Syst. Signal Process., 2020)

Fast multi-spectral image super-resolution via sparse representation. - Helal Uddin Mullah; Bhabesh Deka; A. V. V. Prasad (IET Image Process., 2020)

Sparse Representation based Super-Resolution of MRI Images with Non-Local Total Variation Regularization. - Bhabesh Deka; Helal Uddin Mullah; Sumit Datta; Vijaya Lakshmi; Rajarajeswari Ganesan (SN Comput. Sci., 2020)

Stratification of High-Risk Hypertensive Patients Using Hybrid Heart Rate Variability Features and Boosting Algorithms. - Dipen Deka; Bhabesh Deka (IEEE Access, 2021)

Coded-Aperture Computational Millimeter-Wave Image Classifier Using Convolutional Neural Network. - Rahul Sharma; Raphael Hussung; Andreas Keil; Fabian Friederich; Thomas Fromenteze; Mohsen Khalily; Bhabesh Deka; Vincent F. Fusco; Okan Yurduseven (IEEE Access, 2021)

Characterization of heart rate variability signal for distinction of meditative and pre-meditative states. - Dipen Deka; Bhabesh Deka (Biomed. Signal Process. Control., 2021)

A deep framework for enhancement of diagnostic information in CSMRI reconstruction. - Sumit Datta; Samarendra Dandapat; Bhabesh Deka (Biomed. Signal Process. Control., 2022)

Litchi Fruit Instance Segmentation from UAV Sensed Images Using Spatial Attention-Based Deep Learning Model. - Debarun Chakraborty; Bhabesh Deka (PReMI, 2023)

Detection of Meditation-Induced HRV Dynamics Using Averaging Technique-Based Oversampled Feature Set and Machine Learning Classifiers. - Dipen Deka; Bhabesh Deka (IEEE Access, 2023)

Joint Sparse Representation-based Single Image Super-Resolution for Remote Sensing Applications. - Bhabesh Deka; Helal Uddin Mullah; Trishna Barman; Sumit Datta (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Edge-Preserving Single Remote-Sensing Image Super-resolution Using Sparse Representations. - Trishna Barman; Bhabesh Deka; Helal Uddin Mullah (SN Comput. Sci., 2023)

Integrated convolutional neural networks for joint super-resolution and classification of radar images. - Rahul Sharma; Bhabesh Deka; Vincent F. Fusco; Okan Yurduseven (Pattern Recognit., 2024)

A Deep Learning-Based Joint Image Super-Resolution and Deblurring Framework. - Trishna Barman; Bhabesh Deka (IEEE Trans. Artif. Intell., 2024)

Opportunities and Challenges in Deep Compressed Sensing Techniques for Multichannel ECG Data Compression. - Sushant Kumar; Ram Bilas Pachori; Bhabesh Deka; Sumit Datta (SN Comput. Sci., 2024)

Deep Learning-Based Selective Feature Fusion for Litchi Fruit Detection Using Multimodal UAV Sensor Measurements. - Debarun Chakraborty; Bhabesh Deka (IEEE Trans. Artif. Intell., 2025)