Hemant Kumar Aggarwal
Hemant Kumar Aggarwal
Electrical and Computer Engineering Department, University of Iowa
Verified email at uiowa.edu - Homepage
Title
Cited by
Cited by
Year
MoDL: Model Based Deep Learning Architecture for Inverse Problems
HK Aggarwal, MP Mani, M Jacob
IEEE Transactions on Medical Imaging 38 (2), 394-405, 2019
2702019
Hyperspectral Image Denoising Using Spatio-Spectral Total Variation
HK Aggarwal, A Majumdar
IEEE Geoscience and Remote Sensing Letters 13 (3), 442-446, 2016
1252016
Hyperspectral Unmixing in the Presence of Mixed Noise Using Joint-Sparsity and Total Variation
HK Aggarwal, A Majumdar
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016
472016
Discriminative robust deep dictionary learning for hyperspectral image classification
V Singhal, HK Aggarwal, S Tariyal, A Majumdar
IEEE Transactions on Geoscience and Remote Sensing 55 (9), 5274-5283, 2017
362017
Compressive sensing multi-spectral demosaicing from single sensor architecture
HK Aggarwal, A Majumdar
2014 IEEE China Summit & International Conference on Signal and Information …, 2014
282014
Dynamic MRI using model‐based deep learning and SToRM priors: MoDL‐SToRM
S Biswas, HK Aggarwal, M Jacob
Magnetic resonance in medicine 82 (1), 485-494, 2019
262019
Impulse denoising for hyper-spectral images: A blind compressed sensing approach
A Majumdar, N Ansari, H Aggarwal, P Biyani
Signal Processing 119, 136-141, 2016
222016
Single-sensor multi-spectral image demosaicing algorithm using learned interpolation weights
HK Aggarwal, A Majumdar
2014 IEEE Geoscience and Remote Sensing Symposium, 2011-2014, 2014
212014
Exploiting spatiospectral correlation for impulse denoising in hyperspectral images
HK Aggarwal, A Majumdar
Journal of Electronic Imaging 24 (1), 013027, 2015
182015
Mixed Gaussian and impulse denoising of hyperspectral images
HK Aggarwal, A Majumdar
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015
172015
MoDL-MUSSELS: Model-based deep learning for multishot sensitivity-encoded diffusion MRI
HK Aggarwal, MP Mani, M Jacob
IEEE transactions on medical imaging 39 (4), 1268-1277, 2019
132019
Label-consistent transform learning for hyperspectral image classification
J Maggu, HK Aggarwal, A Majumdar
IEEE Geoscience and Remote Sensing Letters 16 (9), 1502-1506, 2019
122019
Change detection using unsupervised learning algorithms for Delhi, India
HK Aggarwal, S Minz
Asian Journal of Geoinformatics 13 (4), 2014
112014
J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction
HK Aggarwal, M Jacob
IEEE Journal of Selected Topics in Signal Processing 14 (6), 1-12, 2020
102020
Generalized synthesis and analysis prior algorithms with application to impulse denoising
HK Aggarwal, A Majumdar
Proceedings of the 2014 Indian Conference on Computer Vision Graphics and …, 2014
102014
Multi-spectral demosaicing technique for single-sensor imaging
HK Aggarwal, A Majumdar
2013 Fourth National Conference on Computer Vision, Pattern Recognition …, 2013
102013
Model based image reconstruction using deep learned priors (MODL)
HK Aggarwal, MP Mani, M Jacob
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
92018
Greedy deep dictionary learning for hyperspectral image classification
S Tariyal, H Aggarwal, A Majumdar
2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2016
92016
Off-the-grid model based deep learning (O-MODL)
A Pramanik, H Aggarwal, M Jacob
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
82019
Removing sparse noise from hyperspectral images with sparse and low-rank penalties
S Tariyal, HK Aggarwal, A Majumdar
Journal of Electronic Imaging 25 (2), 020501, 2016
82016
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