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ORCIDHemant Kumar Aggarwal
Person information
- affiliation: University of Iowa, Iowa City, IA, USA
- affiliation (PhD 2016): Indraprastha Institute of Information Technology Delhi, New Delhi, India
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2020 – today
- 2024
[c30]Hemant Kumar Aggarwal, Phaneendra K. Yalavarthy, Rajesh Langoju:
Self-Supervised Noise-Aware Kernel Synthesis for Improved X-ray Computed Tomography Imaging. ISBI 2024: 1-4- [c29]Hemant Kumar Aggarwal
, Sudhanya Chatterjee, Dattesh Shanbhag, Uday Patil, K. V. S. Hari:
LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging. MLMI@MICCAI (1) 2024: 187-196 - [i14]Hemant Kumar Aggarwal, Sudhanya Chatterjee, Dattesh Shanbhag, Uday Patil, K. V. S. Hari:
LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging. CoRR abs/2409.07457 (2024) - 2023
- [j12]Hemant Kumar Aggarwal, Aniket Pramanik, Maneesh John, Mathews Jacob:
ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms. IEEE Trans. Medical Imaging 42(4): 1133-1144 (2023) - 2021
- [c28]Hemant Kumar Aggarwal, Aniket Pramanik, Mathews Jacob:
Ensure: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning. ICASSP 2021: 1160-1164 - [i13]Hemant Kumar Aggarwal, Mathews Jacob:
Model Adaptation for Image Reconstruction using Generalized Stein's Unbiased Risk Estimator. CoRR abs/2102.00047 (2021) - [i12]Maneesh John, Hemant Kumar Aggarwal, Qing Zou, Mathews Jacob:
Deep Image Prior using Stein's Unbiased Risk Estimator: SURE-DIP. CoRR abs/2111.10892 (2021) - 2020
- [j11]Hemant Kumar Aggarwal, Mathews Jacob:
J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction. IEEE J. Sel. Top. Signal Process. 14(6): 1151-1162 (2020) - [j10]Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob:
MoDL-MUSSELS: Model-Based Deep Learning for Multishot Sensitivity-Encoded Diffusion MRI. IEEE Trans. Medical Imaging 39(4): 1268-1277 (2020) - [j9]Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR). IEEE Trans. Medical Imaging 39(12): 4186-4197 (2020) - [c27]Hemant Kumar Aggarwal, Mathews Jacob:
Joint Optimization of Sampling Patterns and Deep Priors for Improved Parallel MRI. ICASSP 2020: 8901-8905 - [c26]Merry P. Mani, Hemant Kumar Aggarwal, Sanjay Ghosh, Mathews Jacob:
Model-Based Deep Learning for Reconstruction of Joint k-q Under-sampled High Resolution Diffusion MRI. ISBI 2020: 913-916 - [c25]Hemant Kumar Aggarwal, Mathews Jacob:
Joint Optimization of Sampling Pattern and Priors in Model Based Deep Learning. ISBI 2020: 926-929 - [c24]Abdul Haseeb Ahmed, Hemant Aggarwal, Prashant Nagpal, Mathews Jacob:
Dynamic MRI using deep manifold self-learning. ISBI 2020: 1052-1055 - [c23]Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Calibrationless Parallel MRI Using Model Based Deep Learning (C-MODL). ISBI 2020: 1428-1431 - [i11]Hemant Kumar Aggarwal, Mathews Jacob:
ENSURE: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning. CoRR abs/2010.10631 (2020)
2010 – 2019
- 2019
- [j8]Jyoti Maggu, Hemant Kumar Aggarwal, Angshul Majumdar:
Label-Consistent Transform Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 16(9): 1502-1506 (2019) - [j7]Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob:
MoDL: Model-Based Deep Learning Architecture for Inverse Problems. IEEE Trans. Medical Imaging 38(2): 394-405 (2019) - [c22]Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Off-The-Grid Model Based Deep Learning (O-Modl). ISBI 2019: 1395-1398 - [c21]Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob:
Multi-Shot Sensitivity-Encoded Diffusion MRI Using Model-Based Deep Learning (Modl-Mussels). ISBI 2019: 1541-1544 - [i10]Hemant Kumar Aggarwal, Mathews Jacob:
Joint Optimization of Sampling Patterns and Deep Priors for Improved Parallel MRI. CoRR abs/1911.02945 (2019) - [i9]Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Calibrationless Parallel MRI using Model based Deep Learning (C-MODL). CoRR abs/1911.12443 (2019) - [i8]Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Deep Generalization of Structured Low Rank Algorithms (Deep-SLR). CoRR abs/1912.03433 (2019) - [i7]Vanika Singhal, Hemant Kumar Aggarwal, Snigdha Tariyal, Angshul Majumdar:
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification. CoRR abs/1912.10803 (2019) - [i6]Jyoti Maggu, Hemant Kumar Aggarwal, Angshul Majumdar:
Label Consistent Transform Learning for Hyperspectral Image Classification. CoRR abs/1912.11405 (2019) - 2018
- [c20]Sampurna Biswas, Hemant Kumar Aggarwal, Sunrita Poddar, Mathews Jacob:
Model-Based Free-Breathing Cardiac MRI Reconstruction Using Deep Learned & Storm Priors: MODL-STORM. ICASSP 2018: 6533-6537 - [c19]Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob:
Model based image reconstruction using deep learned priors (MODL). ISBI 2018: 671-674 - [i5]Sampurna Biswas, Hemant Kumar Aggarwal, Sunrita Poddar, Mathews Jacob:
Model-based free-breathing cardiac MRI reconstruction using deep learned & STORM priors: MoDL-STORM. CoRR abs/1807.03845 (2018) - [i4]Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob:
Multi-Shot Sensitivity-Encoded Diffusion MRI using Model-Based Deep Learning (MODL-MUSSELS). CoRR abs/1812.08115 (2018) - [i3]Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Off-the-grid model based deep learning (O-MODL). CoRR abs/1812.10747 (2018) - 2017
- [j6]Vanika Singhal, Hemant Kumar Aggarwal, Snigdha Tariyal, Angshul Majumdar:
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(9): 5274-5283 (2017) - [c18]Shailesh Deshpande, Shamsuddin Ladha, Hemant Aggarwal, Piyush Yadav:
Extraction of themes from aerial imagery using latent dirichlet allocation. IGARSS 2017: 4770-4773 - [i2]Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob:
MoDL: Model Based Deep Learning Architecture for Inverse Problems. CoRR abs/1712.02862 (2017) - 2016
- [j5]Snigdha Tariyal, Hemant Kumar Aggarwal, Angshul Majumdar:
Removing sparse noise from hyperspectral images with sparse and low-rank penalties. J. Electronic Imaging 25(2): 020501 (2016) - [j4]Hemant Kumar Aggarwal, Angshul Majumdar:
Hyperspectral Image Denoising Using Spatio-Spectral Total Variation. IEEE Geosci. Remote. Sens. Lett. 13(3): 442-446 (2016) - [j3]Angshul Majumdar, Naushad Ansari, Hemant Kumar Aggarwal, Pravesh Biyani:
Impulse denoising for hyper-spectral images: A blind compressed sensing approach. Signal Process. 119: 136-141 (2016) - [j2]Hemant Kumar Aggarwal, Angshul Majumdar:
Hyperspectral Unmixing in the Presence of Mixed Noise Using Joint-Sparsity and Total Variation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(9): 4257-4266 (2016) - [c17]Hemant Kumar Aggarwal, Angshul Majumdar:
Compressive hyper-spectral imaging in the presence of real noise. IGARSS 2016: 4371-4374 - [c16]Hemant Kumar Aggarwal, Angshul Majumdar:
Robust estimation for subspace based classifiers. IJCNN 2016: 3923-3929 - [c15]Hemant Kumar Aggarwal, Angshul Majumdar:
Sparse filtering based hyperspectral unmixing. WHISPERS 2016: 1-4 - [c14]Snigdha Tariyal, Hemant Kumar Aggarwal, Angshul Majumdar:
Greedy deep dictionary learning for hyperspectral image classification. WHISPERS 2016: 1-4 - 2015
- [j1]Hemant Kumar Aggarwal, Angshul Majumdar:
Exploiting spatiospectral correlation for impulse denoising in hyperspectral images. J. Electronic Imaging 24(1): 013027 (2015) - [c13]Hemant Kumar Aggarwal, Angshul Majumdar:
Multi-spectral demosaicing: A joint-sparse elastic-net formulation. ICAPR 2015: 1-5 - [c12]Angshul Majumdar, Naushad Ansari, Hemant Kumar Aggarwal:
Hyper-spectral impulse denoising: A row-sparse Blind Compressed Sensing formulation. ICASSP 2015: 1260-1264 - [c11]Hemant Kumar Aggarwal, Angshul Majumdar:
Mixed Gaussian and impulse denoising of hyperspectral images. IGARSS 2015: 429-432 - [c10]Hemant Kumar Aggarwal, Angshul Majumdar:
Blind compressive hyper-spectral imaging. IGARSS 2015: 3493-3496 - [c9]Hemant Kumar Aggarwal, Angshul Majumdar:
Blind hyperspectral denoising. NCVPRIPG 2015: 1-4 - [c8]Hemant Kumar Aggarwal, Snigdha Tariyal, Angshul Majumdar:
Compressive hyper-spectral imaging in the presence of impulse noise. WHISPERS 2015: 1-4 - [c7]Snigdha Tariyal, Hemant Kumar Aggarwal, Angshul Majumdar:
Hyperspectral impulse denoising with sparse and low-rank penalties. WHISPERS 2015: 1-4 - 2014
- [c6]Hemant Kumar Aggarwal, Angshul Majumdar:
Compressive sensing multi-spectral demosaicing from single sensor architecture. ChinaSIP 2014: 334-338 - [c5]Anupriya Gogna, Ankita Shukla, Hemant Kumar Aggarwal, Angshul Majumdar:
Split Bregman algorithms for sparse / joint-sparse and low-rank signal recovery: Application in compressive hyperspectral imaging. ICIP 2014: 1302-1306 - [c4]Hemant Kumar Aggarwal, Angshul Majumdar:
Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors. ICPR 2014: 1014-1019 - [c3]Hemant Kumar Aggarwal, Angshul Majumdar:
Generalized Synthesis and Analysis Prior Algorithms with Application to Impulse Denoising. ICVGIP 2014: 10:1-10:7 - [c2]Hemant Kumar Aggarwal, Angshul Majumdar:
Single-sensor multi-spectral image demosaicing algorithm using learned interpolation weights. IGARSS 2014: 2011-2014 - [i1]Hemant Kumar Aggarwal, Angshul Majumdar:
Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors. CoRR abs/1401.2288 (2014) - 2013
- [c1]Hemant Kumar Aggarwal, Angshul Majumdar:
Multi-spectral demosaicing technique for single-sensor imaging. NCVPRIPG 2013: 1-4
Coauthor Index
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last updated on 2024-11-07 20:32 CET by the dblp team
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