Multi-spectral demosaicing technique for single-sensor imaging. - Hemant Kumar Aggarwal; Angshul Majumdar (NCVPRIPG, 2013)

Compressive sensing multi-spectral demosaicing from single sensor architecture. - Hemant Kumar Aggarwal; Angshul Majumdar (ChinaSIP, 2014)

Split Bregman algorithms for sparse / joint-sparse and low-rank signal recovery: Application in compressive hyperspectral imaging. - Anupriya Gogna; Ankita Shukla; Hemant Kumar Aggarwal; Angshul Majumdar (ICIP, 2014)

Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors. - Hemant Kumar Aggarwal; Angshul Majumdar (ICPR, 2014)

Generalized Synthesis and Analysis Prior Algorithms with Application to Impulse Denoising. - Hemant Kumar Aggarwal; Angshul Majumdar (ICVGIP, 2014)

Single-sensor multi-spectral image demosaicing algorithm using learned interpolation weights. - Hemant Kumar Aggarwal; Angshul Majumdar (IGARSS, 2014)

Multi-spectral demosaicing: A joint-sparse elastic-net formulation. - Hemant Kumar Aggarwal; Angshul Majumdar (ICAPR, 2015)

Hyper-spectral impulse denoising: A row-sparse Blind Compressed Sensing formulation. - Angshul Majumdar; Naushad Ansari; Hemant Kumar Aggarwal (ICASSP, 2015)

Mixed Gaussian and impulse denoising of hyperspectral images. - Hemant Kumar Aggarwal; Angshul Majumdar (IGARSS, 2015)

Blind compressive hyper-spectral imaging. - Hemant Kumar Aggarwal; Angshul Majumdar (IGARSS, 2015)

Blind hyperspectral denoising. - Hemant Kumar Aggarwal; Angshul Majumdar (NCVPRIPG, 2015)

Compressive hyper-spectral imaging in the presence of impulse noise. - Hemant Kumar Aggarwal; Snigdha Tariyal; Angshul Majumdar (WHISPERS, 2015)

Hyperspectral impulse denoising with sparse and low-rank penalties. - Snigdha Tariyal; Hemant Kumar Aggarwal; Angshul Majumdar (WHISPERS, 2015)

Exploiting spatiospectral correlation for impulse denoising in hyperspectral images. - Hemant Kumar Aggarwal; Angshul Majumdar (J. Electronic Imaging, 2015)

Compressive hyper-spectral imaging in the presence of real noise. - Hemant Kumar Aggarwal; Angshul Majumdar (IGARSS, 2016)

Robust estimation for subspace based classifiers. - Hemant Kumar Aggarwal; Angshul Majumdar (IJCNN, 2016)

Sparse filtering based hyperspectral unmixing. - Hemant Kumar Aggarwal; Angshul Majumdar (WHISPERS, 2016)

Greedy deep dictionary learning for hyperspectral image classification. - Snigdha Tariyal; Hemant Kumar Aggarwal; Angshul Majumdar (WHISPERS, 2016)

Removing sparse noise from hyperspectral images with sparse and low-rank penalties. - Snigdha Tariyal; Hemant Kumar Aggarwal; Angshul Majumdar (J. Electronic Imaging, 2016)

Hyperspectral Image Denoising Using Spatio-Spectral Total Variation. - Hemant Kumar Aggarwal; Angshul Majumdar (IEEE Geosci. Remote. Sens. Lett., 2016)

Impulse denoising for hyper-spectral images: A blind compressed sensing approach. - Angshul Majumdar; Naushad Ansari; Hemant Kumar Aggarwal; Pravesh Biyani (Signal Process., 2016)

Hyperspectral Unmixing in the Presence of Mixed Noise Using Joint-Sparsity and Total Variation. - Hemant Kumar Aggarwal; Angshul Majumdar (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Extraction of themes from aerial imagery using latent dirichlet allocation. - Shailesh Deshpande; Shamsuddin Ladha; Hemant Aggarwal; Piyush Yadav (IGARSS, 2017)

Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification. - Vanika Singhal; Hemant Kumar Aggarwal; Snigdha Tariyal; Angshul Majumdar (IEEE Trans. Geosci. Remote. Sens., 2017)

Model-Based Free-Breathing Cardiac MRI Reconstruction Using Deep Learned & Storm Priors: MODL-STORM. - Sampurna Biswas; Hemant Kumar Aggarwal; Sunrita Poddar; Mathews Jacob (ICASSP, 2018)

Model based image reconstruction using deep learned priors (MODL). - Hemant Kumar Aggarwal; Merry P. Mani; Mathews Jacob (ISBI, 2018)

Multi-Shot Sensitivity-Encoded Diffusion MRI Using Model-Based Deep Learning (Modl-Mussels). - Hemant Kumar Aggarwal; Merry P. Mani; Mathews Jacob (ISBI, 2019)

Off-The-Grid Model Based Deep Learning (O-Modl). - Aniket Pramanik; Hemant Kumar Aggarwal; Mathews Jacob (ISBI, 2019)

Label-Consistent Transform Learning for Hyperspectral Image Classification. - Jyoti Maggu; Hemant Kumar Aggarwal; Angshul Majumdar (IEEE Geosci. Remote. Sens. Lett., 2019)

MoDL: Model-Based Deep Learning Architecture for Inverse Problems. - Hemant Kumar Aggarwal; Merry P. Mani; Mathews Jacob (IEEE Trans. Medical Imaging, 2019)

Joint Optimization of Sampling Patterns and Deep Priors for Improved Parallel MRI. - Hemant Kumar Aggarwal; Mathews Jacob (ICASSP, 2020)

Joint Optimization of Sampling Pattern and Priors in Model Based Deep Learning. - Hemant Kumar Aggarwal; Mathews Jacob (ISBI, 2020)

Dynamic MRI using deep manifold self-learning. - Abdul Haseeb Ahmed; Hemant Aggarwal; Prashant Nagpal; Mathews Jacob (ISBI, 2020)

Model-Based Deep Learning for Reconstruction of Joint k-q Under-sampled High Resolution Diffusion MRI. - Merry P. Mani; Hemant Kumar Aggarwal; Sanjay Ghosh; Mathews Jacob (ISBI, 2020)

Calibrationless Parallel MRI Using Model Based Deep Learning (C-MODL). - Aniket Pramanik; Hemant Kumar Aggarwal; Mathews Jacob (ISBI, 2020)

ENSURE: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning. - Hemant Kumar Aggarwal; Mathews Jacob (CoRR, 2020)

J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction. - Hemant Kumar Aggarwal; Mathews Jacob (IEEE J. Sel. Top. Signal Process., 2020)

MoDL-MUSSELS: Model-Based Deep Learning for Multishot Sensitivity-Encoded Diffusion MRI. - Hemant Kumar Aggarwal; Merry P. Mani; Mathews Jacob (IEEE Trans. Medical Imaging, 2020)

Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR). - Aniket Pramanik; Hemant Kumar Aggarwal; Mathews Jacob (IEEE Trans. Medical Imaging, 2020)

Ensure: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning. - Hemant Kumar Aggarwal; Aniket Pramanik; Mathews Jacob (ICASSP, 2021)

Model Adaptation for Image Reconstruction using Generalized Stein's Unbiased Risk Estimator. - Hemant Kumar Aggarwal; Mathews Jacob (CoRR, 2021)

Deep Image Prior using Stein's Unbiased Risk Estimator: SURE-DIP. - Maneesh John; Hemant Kumar Aggarwal; Qing Zou; Mathews Jacob (CoRR, 2021)

ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms. - Hemant Kumar Aggarwal; Aniket Pramanik; Maneesh John; Mathews Jacob (IEEE Trans. Medical Imaging, 2023)

Self-Supervised Noise-Aware Kernel Synthesis for Improved X-ray Computed Tomography Imaging. - Hemant Kumar Aggarwal; Phaneendra K. Yalavarthy; Rajesh Langoju (ISBI, 2024)

LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging. - Hemant Kumar Aggarwal; Sudhanya Chatterjee; Dattesh Shanbhag; Uday Patil; K. V. S. Hari (MLMI@MICCAI (1), 2024)

Display Field-of-View Agnostic Robust Ct Kernel Synthesis Using Model-Based Deep Learning. - Hemant Kumar Aggarwal; Antony Jerald; Phaneendra K. Yalavarthy; Rajesh Langoju; Bipul Das (ISBI, 2025)