Hemant Kumar Aggarwal

56 papers B 3C 4Misc 4Journal 27Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Display Field-Of-View Agnostic Robust CT Kernel Synthesis Using Model-Based Deep Learning. CoRR Hemant Kumar Aggarwal, Antony Jerald, Phaneendra K. Yalavarthy, Rajesh Langoju, Bipul Das
2025	—	`conf`	Display Field-of-View Agnostic Robust Ct Kernel Synthesis Using Model-Based Deep Learning. ISBI Hemant Kumar Aggarwal, Antony Jerald, Phaneendra K. Yalavarthy, Rajesh Langoju, Bipul Das
2024	—	`conf`	LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging. MLMI@MICCAI (1) Hemant Kumar Aggarwal, Sudhanya Chatterjee, Dattesh Shanbhag, Uday Patil, K. V. S. Hari
2024	J	`jnl`	LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging. CoRR Hemant Kumar Aggarwal, Sudhanya Chatterjee, Dattesh Shanbhag, Uday Patil, K. V. S. Hari
2024	—	`conf`	Self-Supervised Noise-Aware Kernel Synthesis for Improved X-ray Computed Tomography Imaging. ISBI Hemant Kumar Aggarwal, Phaneendra K. Yalavarthy, Rajesh Langoju
2023	J	`jnl`	ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms. IEEE Trans. Medical Imaging Hemant Kumar Aggarwal, Aniket Pramanik, Maneesh John, Mathews Jacob
2021	J	`jnl`	Deep Image Prior using Stein's Unbiased Risk Estimator: SURE-DIP. CoRR Maneesh John, Hemant Kumar Aggarwal, Qing Zou, Mathews Jacob
2021	Misc	`conf`	Ensure: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning. ICASSP Hemant Kumar Aggarwal, Aniket Pramanik, Mathews Jacob
2021	J	`jnl`	Model Adaptation for Image Reconstruction using Generalized Stein's Unbiased Risk Estimator. CoRR Hemant Kumar Aggarwal, Mathews Jacob
2020	—	`conf`	Calibrationless Parallel MRI Using Model Based Deep Learning (C-MODL). ISBI Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
2020	J	`jnl`	Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR). IEEE Trans. Medical Imaging Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
2020	J	`jnl`	ENSURE: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning. CoRR Hemant Kumar Aggarwal, Mathews Jacob
2020	J	`jnl`	J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction. IEEE J. Sel. Top. Signal Process. Hemant Kumar Aggarwal, Mathews Jacob
2020	—	`conf`	Joint Optimization of Sampling Pattern and Priors in Model Based Deep Learning. ISBI Hemant Kumar Aggarwal, Mathews Jacob
2020	Misc	`conf`	Joint Optimization of Sampling Patterns and Deep Priors for Improved Parallel MRI. ICASSP Hemant Kumar Aggarwal, Mathews Jacob
2020	J	`jnl`	MoDL-MUSSELS: Model-Based Deep Learning for Multishot Sensitivity-Encoded Diffusion MRI. IEEE Trans. Medical Imaging Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob
2020	—	`conf`	Model-Based Deep Learning for Reconstruction of Joint k-q Under-sampled High Resolution Diffusion MRI. ISBI Merry P. Mani, Hemant Kumar Aggarwal, Sanjay Ghosh, Mathews Jacob
2019	J	`jnl`	Calibrationless Parallel MRI using Model based Deep Learning (C-MODL). CoRR Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
2019	J	`jnl`	Deep Generalization of Structured Low Rank Algorithms (Deep-SLR). CoRR Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
2019	J	`jnl`	Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification. CoRR Vanika Singhal, Hemant Kumar Aggarwal, Snigdha Tariyal, Angshul Majumdar
2019	J	`jnl`	Joint Optimization of Sampling Patterns and Deep Priors for Improved Parallel MRI. CoRR Hemant Kumar Aggarwal, Mathews Jacob
2019	J	`jnl`	Label Consistent Transform Learning for Hyperspectral Image Classification. CoRR Jyoti Maggu, Hemant Kumar Aggarwal, Angshul Majumdar
2019	J	`jnl`	Label-Consistent Transform Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. Jyoti Maggu, Hemant Kumar Aggarwal, Angshul Majumdar
2019	J	`jnl`	MoDL: Model-Based Deep Learning Architecture for Inverse Problems. IEEE Trans. Medical Imaging Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob
2019	—	`conf`	Multi-Shot Sensitivity-Encoded Diffusion MRI Using Model-Based Deep Learning (Modl-Mussels). ISBI Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob
2019	—	`conf`	Off-The-Grid Model Based Deep Learning (O-Modl). ISBI Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
2018	—	`conf`	Model based image reconstruction using deep learned priors (MODL). ISBI Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob
2018	Misc	`conf`	Model-Based Free-Breathing Cardiac MRI Reconstruction Using Deep Learned & Storm Priors: MODL-STORM. ICASSP Sampurna Biswas, Hemant Kumar Aggarwal, Sunrita Poddar, Mathews Jacob
2018	J	`jnl`	Model-based free-breathing cardiac MRI reconstruction using deep learned & STORM priors: MoDL-STORM. CoRR Sampurna Biswas, Hemant Kumar Aggarwal, Sunrita Poddar, Mathews Jacob
2018	J	`jnl`	Multi-Shot Sensitivity-Encoded Diffusion MRI using Model-Based Deep Learning (MODL-MUSSELS). CoRR Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob
2018	J	`jnl`	Off-the-grid model based deep learning (O-MODL). CoRR Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
2017	J	`jnl`	Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Vanika Singhal, Hemant Kumar Aggarwal, Snigdha Tariyal, Angshul Majumdar
2017	J	`jnl`	MoDL: Model Based Deep Learning Architecture for Inverse Problems. CoRR Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob
2016	C	`conf`	Compressive hyper-spectral imaging in the presence of real noise. IGARSS Hemant Kumar Aggarwal, Angshul Majumdar
2016	—	`conf`	Greedy deep dictionary learning for hyperspectral image classification. WHISPERS Snigdha Tariyal, Hemant Kumar Aggarwal, Angshul Majumdar
2016	J	`jnl`	Hyperspectral Image Denoising Using Spatio-Spectral Total Variation. IEEE Geosci. Remote. Sens. Lett. Hemant Kumar Aggarwal, Angshul Majumdar
2016	J	`jnl`	Hyperspectral Unmixing in the Presence of Mixed Noise Using Joint-Sparsity and Total Variation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Hemant Kumar Aggarwal, Angshul Majumdar
2016	J	`jnl`	Impulse denoising for hyper-spectral images: A blind compressed sensing approach. Signal Process. Angshul Majumdar, Naushad Ansari, Hemant Kumar Aggarwal, Pravesh Biyani
2016	J	`jnl`	Removing sparse noise from hyperspectral images with sparse and low-rank penalties. J. Electronic Imaging Snigdha Tariyal, Hemant Kumar Aggarwal, Angshul Majumdar
2016	B	`conf`	Robust estimation for subspace based classifiers. IJCNN Hemant Kumar Aggarwal, Angshul Majumdar
2016	—	`conf`	Sparse filtering based hyperspectral unmixing. WHISPERS Hemant Kumar Aggarwal, Angshul Majumdar
2015	C	`conf`	Blind compressive hyper-spectral imaging. IGARSS Hemant Kumar Aggarwal, Angshul Majumdar
2015	—	`conf`	Blind hyperspectral denoising. NCVPRIPG Hemant Kumar Aggarwal, Angshul Majumdar
2015	—	`conf`	Compressive hyper-spectral imaging in the presence of impulse noise. WHISPERS Hemant Kumar Aggarwal, Snigdha Tariyal, Angshul Majumdar
2015	J	`jnl`	Exploiting spatiospectral correlation for impulse denoising in hyperspectral images. J. Electronic Imaging Hemant Kumar Aggarwal, Angshul Majumdar
2015	Misc	`conf`	Hyper-spectral impulse denoising: A row-sparse Blind Compressed Sensing formulation. ICASSP Angshul Majumdar, Naushad Ansari, Hemant Kumar Aggarwal
2015	—	`conf`	Hyperspectral impulse denoising with sparse and low-rank penalties. WHISPERS Snigdha Tariyal, Hemant Kumar Aggarwal, Angshul Majumdar
2015	C	`conf`	Mixed Gaussian and impulse denoising of hyperspectral images. IGARSS Hemant Kumar Aggarwal, Angshul Majumdar
2015	—	`conf`	Multi-spectral demosaicing: A joint-sparse elastic-net formulation. ICAPR Hemant Kumar Aggarwal, Angshul Majumdar
2014	—	`conf`	Compressive sensing multi-spectral demosaicing from single sensor architecture. ChinaSIP Hemant Kumar Aggarwal, Angshul Majumdar
2014	B	`conf`	Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors. ICPR Hemant Kumar Aggarwal, Angshul Majumdar
2014	J	`jnl`	Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors. CoRR Hemant Kumar Aggarwal, Angshul Majumdar
2014	—	`conf`	Generalized Synthesis and Analysis Prior Algorithms with Application to Impulse Denoising. ICVGIP Hemant Kumar Aggarwal, Angshul Majumdar
2014	C	`conf`	Single-sensor multi-spectral image demosaicing algorithm using learned interpolation weights. IGARSS Hemant Kumar Aggarwal, Angshul Majumdar
2014	B	`conf`	Split Bregman algorithms for sparse / joint-sparse and low-rank signal recovery: Application in compressive hyperspectral imaging. ICIP Anupriya Gogna, Ankita Shukla, Hemant Kumar Aggarwal, Angshul Majumdar
2013	—	`conf`	Multi-spectral demosaicing technique for single-sensor imaging. NCVPRIPG Hemant Kumar Aggarwal, Angshul Majumdar