Publications
Journal Articles
ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms by H.K. Aggarwal, A. Pramanik, M. John, and M. Jacob 2022. in IEEE Transactions on Medical Imaging (TMI), PDF. PPT, Video
J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction by H.K. Aggarwal and M. Jacob in IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2020. IEEEXlore, PDF, PPT, Source Code.
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR) by A. Pramanik, H.K. Aggarwal, and M. Jacob in IEEE Transaction on Medical imaging (TMI), 2020, PDF
MoDL-MUSSELS: Model-Based Deep Learning for Multishot Sensitivity-Encoded Diffusion MRI by H.K. Aggarwal , M. P. Mani, and M. Jacob in IEEE Transaction on Medical imaging (TMI), 2020, IEEEXplore, PDF, PPT, Source Code, Demo Video.
Dynamic MRI using Model-Based Deep Learning and SToRM priors: MoDL-SToRM by S. Biswas, H.K. Aggarwal, and M. Jacob in Magnetic Resonance in Medicine (MRM) note, 2019, PDF.
Improved MUSSELS Reconstruction for High-Resolution Multi-Shot Diffusion Weighted Imaging by M. Mani, H.K. Aggarwal, V. Magnotta, M. Jacob in Magnetic Resonance in Medicine (MRM) note, 2019, PDF. (Accepted)
MoDL: Model Based Deep Learning Architecture for Inverse Problems by H.K. Aggarwal , M. P. Mani, and M. Jacob in IEEE Transaction on Medical imaging (TMI) , 2019, IEEEXplore, PDF, PPT, Python Code on GitHub
Label-Consistent Transform Learning for Hyperspectral Image Classification by J. Maggu, H.K. Aggarwal, A. Majumdar in IEEE Geoscience and Remote Sensing Letters (LGRS), 2019.
Discriminative robust deep dictionary learning for hyperspectral image classification by V. Singhal, H.K. Aggarwal , S. Tariyal, and A. Majumdar in IEEE Transactions on Geoscience and Remote Sensing (TGRS) , 2017, PDF Link
Hyperspectral Unmixing in the Presence of Mixed Noise using Joint-Sparsity and Total-Variation by H.K. Aggarwal and A. Majumdar in IEEE Journal of Selected topics in applied earth observations and remote sensing (JSTAR) 9(9), 4257-4266, 2016, PDF Matlab Code IEEEXplore
Hyperspectral Image Denoising using Spatio-Spectral Total Variation by H.K. Aggarwal and A. Majumdar in IEEE Geoscience and Remote Sensing Letters (LGRS), 13(3), 442-446, 2016. PDF Matlab Code IEEEXplore
Exploiting Spatio-Spectral Correlation for Impulse Denoising in Hyperspectral Images by H.K. Aggarwal and A. Majumdar in SPIE Journal of Electronic Imaging (JEI), 24(1), 013027, 2015. PDF Matlab Code SPIE DOI
Removing Sparse Noise from Hyperspectral Images with Sparse and Low-rank Penalties by S. Tariyal, H.K. Aggarwal, A. Majumdar in SPIE Journal of Electronic Imaging Letters, 25(2), 020501, 2016
Impulse Denoising for Hyperspectral Images: A Blind Compressed Sensing Approach by A. Majumdar, N. Ansari, H.K. Aggarwal, P. Biyani in Elsevier Signal Processing, 119, 136-141, 2016.
Conference/Workshop/Abstracts
ENSURE: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning by H.K. Aggarwal, A. Pramanik, and M. Jacob in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Virtual, Toronto, Canada, 6-11 June 2021., PDF, PPT, Video
Joint Optimization of Sampling Patterns and Deep Priors for Improved Parallel MRI by H.K. Aggarwal and M. Jacob in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Virtual Barcelona, Spain!, 4-8 May 2020.
Dynamic MRI Using Deep Manifold Self-Learning by A. H. Ahmed, H. K. Aggarwal, P. Nagpal, M. Jacob, in IEEE International Symposium on Biomedical Imaging (ISBI-2020), Virtual Iowa City, USA, Apr 3-7, 2020.
Calibrationless Parallel MRI Using Model Based Deep Learning (c-MoDL) by A. Pramanik,, H. K. Aggarwal, M. Jacob, in IEEE International Symposium on Biomedical Imaging (ISBI-2020), Virtual Iowa City, USA, Apr 3-7, 2020.
Model-Based Deep Learning for Reconstruction of Joint K-Q Under-Sampled High Resolution Diffusion MRI by M. Mani, H. K. Aggarwal, S. Ghosh, M. Jacob, in IEEE International Symposium on Biomedical Imaging (ISBI-2020), Iowa City, USA, Apr 3-7, 2020.
Joint Optimization of Sampling Pattern and Priors in Model-Based Deep Learning by H. K. Aggarwal, M. Jacob, in IEEE International Symposium on Biomedical Imaging (ISBI-2020), Virtual Iowa City, USA, Apr 3-7, 2020.
Off the-grid model based deep learning (O-MODL) by A. Pramanik, H.K. Aggarwal, M. Jacob in IEEE International Symposium on Biomedical Imaging (ISBI 2019), April 8-11, 2019, Venice, Italy (best machine learning paper award)
Multi-Shot Sensitivity-Encoded Diffusion MRI using Model-Based Deep Learning (MODL-MUSSELS) by H.K. Aggarwal, M. P. Mani, M. Jacob, in IEEE International Symposium on Biomedical Imaging (ISBI 2019), April 8-11, 2019, Venice, Italy
Model Based Image Reconstruction using Deep Learned Priors (MoDL) by H.K. Aggarwal, M. Mani, and M. Jacob in IEEE International Symposium on Biomedical Imaging (ISBI 2018), April 4-7, 2018, Washington D.C., USA. PDF
Model-based free-breathing cardiac MRI reconstruction using deep learned & STORM priors: MoDL-STORM by S. Biswas, H.K. Aggarwal, S. Poddar, and M. Jacob in International Conference on Acoustics, Speech, and Signal Processing( ICASSP 2018.), Apr 15-20, 2018.
Extraction of themes from aerial imagery using latent dirichlet allocation by S Deshpande, S Ladha, H Aggarwal, P Yadav in IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2017). July 23-28, 2017. Texas, USA
Robust Estimation for Subspace Based Classifiers by H.K. Aggarwal, A. Majumdar in IEEE International Joint Conference on Neural Network (IJCNN-2016). 24-29 July 2016. Vancouver, Canada.
Sparse Filtering based Hyperspectral Unmixing by H.K. Aggarwal and A. Majumdar in IEEE Workshop on Hyperspectral Image and Signal Processing (WHISPERS 2016). Aug 21-24, 2016. Los Angeles, USA
Greedy deep dictionary learning for hyperspectral image classification by S Tariyal, HK Aggarwal, A Majumdar in IEEE Workshop on Hyperspectral Image and Signal Processing (WHISPERS 2016). Aug 21-24, 2016. Los Angeles, USA
Compressive Hyper-Spectral Imaging in the Presence of Real Noise by H.K. Aggarwal and A. Majumdar in IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2016). July 10-15, 2016. Beijing, China. IEEEXplore
Blind Hyperspectral Denoising by H.K. Aggarwal and A. Majumdar in National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG-2015). December 16-19, 2015. IIT-Patna, India.
Mixed Gaussian and Impulse Denoising of Hyperspectral Images by H.K. Aggarwal and A. Majumdar in IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2015). July 26-31, 2015. Milan, Italy. PDF IEEEXplore
Blind Compressive Hyperspectral Imaging by H.K. Aggarwal, A. Majumdar in IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2015). July 26-31, 2015. Milan, Italy.
Hyper-spectral Impulse Denoising: A row-sparse Blind Compressed Sensing Formulation by A. Majumdar, N. Ansari, H.K. Aggarwal. in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015). April 19-24, 2015. Brisbane, Australia.
Blind hyperspectral denoising by H.K. Aggarwal, A. Majumdar in National Conf. on Comp. Vision, Pattern Recog., Image Proc. and Graphics (NCVPRIPG 2015). December 16-19, 2015. IIT-Patna, India.
Generalized Synthesis and Analysis Prior Algorithms with Application to Impulse Denoising by H.K. Aggarwal and A. Majumdar in Indian Conf. on Computer Vision, Graphics and Image Proc. (ICVGIP 2014). Dec. 14-17, 2014, IISc Bengaluru, India PDF Matlab Code ACM DOI
Single-Sensor Multi-Specral Image Demosaicing Algorithm Using Learned Interpolation Weights by H.K. Aggarwal and A. Majumdar in International Geoscience and Remote Sensing Symposium (IGARSS 2014). July 13-18, 2014, Quebec, Canada. PDF Matlab Code IEEEXplore
Extension of Sparse Randomized Kaczmarz Method for Multiple Measurements by H.K. Aggarwal and A. Majumdar in 22nd International Conference on Pattern Recognition (ICPR 2014). Aug 24-28, 2014, Stockholm, Sweden. PDF Matlab Code IEEEXplore
Compressive Sensing Multi-spectral Demosaicing from Single Sensor Architecture by H.K. Aggarwal, A. Majumdar. in IEEE China Summit and Inter. Conf. on Signal and Info. Proces. (ChinaSIP 2014). July 9-13, 2014. Xi’an China.
Split Bregman Algorithms for Sparse / Joint-sparse and Low-rank Signal Recovery: Application in Compressive Hyperspectral Imaging by A. Gogna, A. Shukla, H.K. Aggarwal and A. Majumdar, in IEEE International Conference on Image Processing (ICIP 2014), October 27-30, 2014, Paris, France.
Multi-Spectral Demosaicing Technique for Single-Sensor Imaging by H.K. Aggarwal, A. Majumdar in National Conf. on Comp. Vision, Pattern Recog., Image Proc. and Graphics (NCVPRIPG 2013). December 18-21, 2013. IIT-Jodhpur, India.
Reconstruction Algorithm for Multi-Spectral Image Demosaicing by H.K. Aggarwal, A. Majumdar, R. Ward. in 15th IASTED international conference on signal and image processing (SIP 2013). July 17-19, 2013. Banff, Canada.
Change Detection Using Unsupervised Learning Algorithms for Delhi by H.K. Aggarwal and A. Majumdar in 34th Asian Conference on Remote Sensing (ACRS 2013) . October 20-24, 2013. Bali, Indonesia. PDF