Hemant Kumar Aggarwal

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 36

Top Topics

Top Venues

Publications

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) (2023)
Hemant Kumar Aggarwal, Mathews Jacob
Model Adaptation for Image Reconstruction using Generalized Stein's Unbiased Risk Estimator. CoRR (2021)
Hemant Kumar Aggarwal, Aniket Pramanik, Mathews Jacob
Ensure: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning. ICASSP (2021)
Maneesh John, Hemant Kumar Aggarwal, Qing Zou, Mathews Jacob
Deep Image Prior using Stein's Unbiased Risk Estimator: SURE-DIP. CoRR (2021)
Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR). IEEE Trans. Medical Imaging 39 (12) (2020)
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)
Hemant Kumar Aggarwal, Mathews Jacob
Joint Optimization of Sampling Patterns and Deep Priors for Improved Parallel MRI. ICASSP (2020)
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) (2020)
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) (2020)
Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
Calibrationless Parallel MRI Using Model Based Deep Learning (C-MODL). ISBI (2020)
Hemant Kumar Aggarwal, Mathews Jacob
Joint Optimization of Sampling Pattern and Priors in Model Based Deep Learning. ISBI (2020)
Hemant Kumar Aggarwal, Mathews Jacob
ENSURE: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning. CoRR (2020)
Hemant Kumar Aggarwal, Mathews Jacob
Joint Optimization of Sampling Patterns and Deep Priors for Improved Parallel MRI. CoRR (2019)
Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob
MoDL: Model-Based Deep Learning Architecture for Inverse Problems. IEEE Trans. Medical Imaging 38 (2) (2019)
Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
Off-The-Grid Model Based Deep Learning (O-Modl). ISBI (2019)
Jyoti Maggu, Hemant Kumar Aggarwal, Angshul Majumdar
Label-Consistent Transform Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 16 (9) (2019)
Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
Calibrationless Parallel MRI using Model based Deep Learning (C-MODL). CoRR (2019)
Vanika Singhal, Hemant Kumar Aggarwal, Snigdha Tariyal, Angshul Majumdar
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification. CoRR (2019)
Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob
Multi-Shot Sensitivity-Encoded Diffusion MRI Using Model-Based Deep Learning (Modl-Mussels). ISBI (2019)
Jyoti Maggu, Hemant Kumar Aggarwal, Angshul Majumdar
Label Consistent Transform Learning for Hyperspectral Image Classification. CoRR (2019)
Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
Deep Generalization of Structured Low Rank Algorithms (Deep-SLR). CoRR (2019)
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)
Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
Off-the-grid model based deep learning (O-MODL). CoRR (2018)
Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob
Model based image reconstruction using deep learned priors (MODL). ISBI (2018)
Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob
Multi-Shot Sensitivity-Encoded Diffusion MRI using Model-Based Deep Learning (MODL-MUSSELS). CoRR (2018)
Sampurna Biswas, Hemant Kumar Aggarwal, Sunrita Poddar, Mathews Jacob
Model-based free-breathing cardiac MRI reconstruction using deep learned & STORM priors: MoDL-STORM. CoRR (2018)
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) (2017)
Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob
MoDL: Model Based Deep Learning Architecture for Inverse Problems. CoRR (2017)
Hemant Kumar Aggarwal, Angshul Majumdar
Sparse filtering based hyperspectral unmixing. WHISPERS (2016)
Angshul Majumdar, Naushad Ansari, Hemant Kumar Aggarwal, Pravesh Biyani
Impulse denoising for hyper-spectral images: A blind compressed sensing approach. Signal Process. 119 (2016)
Hemant Kumar Aggarwal, Angshul Majumdar
Compressive hyper-spectral imaging in the presence of real noise. IGARSS (2016)
Snigdha Tariyal, Hemant Kumar Aggarwal, Angshul Majumdar
Greedy deep dictionary learning for hyperspectral image classification. WHISPERS (2016)
Hemant Kumar Aggarwal, Angshul Majumdar
Robust estimation for subspace based classifiers. IJCNN (2016)
Snigdha Tariyal, Hemant Kumar Aggarwal, Angshul Majumdar
Removing sparse noise from hyperspectral images with sparse and low-rank penalties. J. Electronic Imaging 25 (2) (2016)
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) (2016)
Hemant Kumar Aggarwal, Angshul Majumdar
Hyperspectral Image Denoising Using Spatio-Spectral Total Variation. IEEE Geosci. Remote. Sens. Lett. 13 (3) (2016)
Hemant Kumar Aggarwal, Angshul Majumdar
Blind hyperspectral denoising. NCVPRIPG (2015)
Hemant Kumar Aggarwal, Snigdha Tariyal, Angshul Majumdar
Compressive hyper-spectral imaging in the presence of impulse noise. WHISPERS (2015)
Hemant Kumar Aggarwal, Angshul Majumdar
Blind compressive hyper-spectral imaging. IGARSS (2015)
Angshul Majumdar, Naushad Ansari, Hemant Kumar Aggarwal
Hyper-spectral impulse denoising: A row-sparse Blind Compressed Sensing formulation. ICASSP (2015)
Hemant Kumar Aggarwal, Angshul Majumdar
Multi-spectral demosaicing: A joint-sparse elastic-net formulation. ICAPR (2015)
Snigdha Tariyal, Hemant Kumar Aggarwal, Angshul Majumdar
Hyperspectral impulse denoising with sparse and low-rank penalties. WHISPERS (2015)
Hemant Kumar Aggarwal, Angshul Majumdar
Exploiting spatiospectral correlation for impulse denoising in hyperspectral images. J. Electronic Imaging 24 (1) (2015)
Hemant Kumar Aggarwal, Angshul Majumdar
Mixed Gaussian and impulse denoising of hyperspectral images. IGARSS (2015)
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)
Hemant Kumar Aggarwal, Angshul Majumdar
Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors. ICPR (2014)
Hemant Kumar Aggarwal, Angshul Majumdar
Compressive sensing multi-spectral demosaicing from single sensor architecture. ChinaSIP (2014)
Hemant Kumar Aggarwal, Angshul Majumdar
Single-sensor multi-spectral image demosaicing algorithm using learned interpolation weights. IGARSS (2014)
Hemant Kumar Aggarwal, Angshul Majumdar
Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors. CoRR (2014)
Hemant Kumar Aggarwal, Angshul Majumdar
Generalized Synthesis and Analysis Prior Algorithms with Application to Impulse Denoising. ICVGIP (2014)
Hemant Kumar Aggarwal, Angshul Majumdar
Multi-spectral demosaicing technique for single-sensor imaging. NCVPRIPG (2013)