| 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 | 270 | 2019 |
| Hyperspectral Image Denoising Using Spatio-Spectral Total Variation HK Aggarwal, A Majumdar IEEE Geoscience and Remote Sensing Letters 13 (3), 442-446, 2016 | 125 | 2016 |
| 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 | 47 | 2016 |
| 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 | 36 | 2017 |
| Compressive sensing multi-spectral demosaicing from single sensor architecture HK Aggarwal, A Majumdar 2014 IEEE China Summit & International Conference on Signal and Information …, 2014 | 28 | 2014 |
| 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 | 26 | 2019 |
| 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 | 22 | 2016 |
| 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 | 21 | 2014 |
| Exploiting spatiospectral correlation for impulse denoising in hyperspectral images HK Aggarwal, A Majumdar Journal of Electronic Imaging 24 (1), 013027, 2015 | 18 | 2015 |
| Mixed Gaussian and impulse denoising of hyperspectral images HK Aggarwal, A Majumdar 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 17 | 2015 |
| 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 | 13 | 2019 |
| 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 | 12 | 2019 |
| Change detection using unsupervised learning algorithms for Delhi, India HK Aggarwal, S Minz Asian Journal of Geoinformatics 13 (4), 2014 | 11 | 2014 |
| 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 | 10 | 2020 |
| 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 | 10 | 2014 |
| Multi-spectral demosaicing technique for single-sensor imaging HK Aggarwal, A Majumdar 2013 Fourth National Conference on Computer Vision, Pattern Recognition …, 2013 | 10 | 2013 |
| 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 | 9 | 2018 |
| 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 | 9 | 2016 |
| 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 | 8 | 2019 |
| 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 | 8 | 2016 |
Angshul MajumdarAssociate Professor, Indraprastha Institute of Information TechnologyVerified email at iiitd.ac.in
