Hemant Kumar Aggarwal

Maneesh John

IEEE Trans. Medical Imaging, April, 2023

2021

Deep Image Prior using Stein's Unbiased Risk Estimator: SURE-DIP.

[BibT_eX]

[DOI]

Maneesh John

Qing Zou

CoRR, 2021

Model Adaptation for Image Reconstruction using Generalized Stein's Unbiased Risk Estimator.

[BibT_eX]

[DOI]

CoRR, 2021

Ensure: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR).

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

MoDL-MUSSELS: Model-Based Deep Learning for Multishot Sensitivity-Encoded Diffusion MRI.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2020

ENSURE: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Calibrationless Parallel MRI Using Model Based Deep Learning (C-MODL).

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Model-Based Deep Learning for Reconstruction of Joint k-q Under-sampled High Resolution Diffusion MRI.

[BibT_eX]

[DOI]

Sanjay Ghosh

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Dynamic MRI using deep manifold self-learning.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Joint Optimization of Sampling Pattern and Priors in Model Based Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Joint Optimization of Sampling Patterns and Deep Priors for Improved Parallel MRI.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

MoDL: Model-Based Deep Learning Architecture for Inverse Problems.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

Label-Consistent Transform Learning for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

Jyoti Maggu

IEEE Geosci. Remote. Sens. Lett., 2019

Off-The-Grid Model Based Deep Learning (O-Modl).

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Multi-Shot Sensitivity-Encoded Diffusion MRI Using Model-Based Deep Learning (Modl-Mussels).

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Model based image reconstruction using deep learned priors (MODL).

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Model-Based Free-Breathing Cardiac MRI Reconstruction Using Deep Learned & Storm Priors: MODL-STORM.

[BibT_eX]

[DOI]

Sampurna Biswas

Sunrita Poddar

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

Vanika Singhal

IEEE Trans. Geosci. Remote. Sens., 2017

Extraction of themes from aerial imagery using latent dirichlet allocation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016

Hyperspectral Unmixing in the Presence of Mixed Noise Using Joint-Sparsity and Total Variation.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Impulse denoising for hyper-spectral images: A blind compressed sensing approach.

[BibT_eX]

[DOI]

Naushad Ansari

Pravesh Biyani

Signal Process., 2016

Hyperspectral Image Denoising Using Spatio-Spectral Total Variation.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2016

Removing sparse noise from hyperspectral images with sparse and low-rank penalties.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2016

Greedy deep dictionary learning for hyperspectral image classification.

[BibT_eX]

[DOI]

Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Sparse filtering based hyperspectral unmixing.

[BibT_eX]

[DOI]

Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Robust estimation for subspace based classifiers.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Compressive hyper-spectral imaging in the presence of real noise.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015

Exploiting spatiospectral correlation for impulse denoising in hyperspectral images.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2015

Hyperspectral impulse denoising with sparse and low-rank penalties.

[BibT_eX]

[DOI]

Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

Compressive hyper-spectral imaging in the presence of impulse noise.

[BibT_eX]

[DOI]

Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

Blind hyperspectral denoising.

[BibT_eX]

[DOI]

Proceedings of the 2015 Fifth National Conference on Computer Vision, 2015

Blind compressive hyper-spectral imaging.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Mixed Gaussian and impulse denoising of hyperspectral images.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Hyper-spectral impulse denoising: A row-sparse Blind Compressed Sensing formulation.

[BibT_eX]

[DOI]

Naushad Ansari

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Multi-spectral demosaicing: A joint-sparse elastic-net formulation.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

2014

Single-sensor multi-spectral image demosaicing algorithm using learned interpolation weights.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Generalized Synthesis and Analysis Prior Algorithms with Application to Impulse Denoising.

[BibT_eX]

[DOI]

Proceedings of the 2014 Indian Conference on Computer Vision, 2014

Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Split Bregman algorithms for sparse / joint-sparse and low-rank signal recovery: Application in compressive hyperspectral imaging.

[BibT_eX]

[DOI]

Anupriya Gogna

Ankita Shukla

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Compressive sensing multi-spectral demosaicing from single sensor architecture.

[BibT_eX]

[DOI]

Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

2013

Multi-spectral demosaicing technique for single-sensor imaging.

[BibT_eX]

[DOI]