Ukash Nakarmi

CoRR, 2024

2023

When System Model Meets Image Prior: An Unsupervised Deep Learning Architecture for Accelerated Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

Ibsa Jalata

Proceedings of the Advances in Visual Computing - 18th International Symposium, 2023

On Training Model Bias of Deep Learning based Super-resolution Frameworks for Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

Mamata Shrestha

Nian Wang

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022

Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2022

BrainVGAE: End-to-End Graph Neural Networks for Noisy fMRI Dataset.

[BibT_eX]

[DOI]

Quan Mai

Miaoqing Huang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Parallel MRI Reconstruction Using Broad Learning System.

[BibT_eX]

[DOI]

Yuchou Chang

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery.

[BibT_eX]

[DOI]

Gaurav N. Shetty

IEEE Trans. Medical Imaging, 2020

Acceleration of three-dimensional diffusion magnetic resonance imaging using a kernel low-rank compressed sensing method.

[BibT_eX]

[DOI]

NeuroImage, 2020

Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

Shreyas S. Vasanawala

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

Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges.

[BibT_eX]

[DOI]

Jeffrey J. Ma

Cedric Yue Sik Kin

Christopher M. Sandino

Shreyas S. Vasanawala

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

Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case.

[BibT_eX]

[DOI]

Gaurav N. Shetty

Gesualdo Scutari

Proceedings of the 28th European Signal Processing Conference, 2020

2019

KerNL: Kernel-Based Nonlinear Approach to Parallel MRI Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

2018

Kernel and Manifold Framework for Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

PhD thesis, 2018

MLS: Joint manifold-learning and sparsity-aware framework for highly accelerated dynamic magnetic resonance imaging.

[BibT_eX]

[DOI]

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

2017

A Kernel-Based Low-Rank (KLR) Model for Low-Dimensional Manifold Recovery in Highly Accelerated Dynamic MRI.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2017

M-MRI: A manifold-based framework to highly accelerated dynamic magnetic resonance imaging.

[BibT_eX]

[DOI]

Jingyuan Lyu

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Bi-Linear modeling of manifold-data geometry for Dynamic-MRI recovery.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

Accelerating dynamic magnetic resonance imaging by nonlinear sparse coding.

[BibT_eX]

[DOI]

Yihang Zhou

Jingyuan Lyu

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Dynamic magnetic resonance imaging using compressed sensing with self-learned nonlinear dictionary (NL-D).

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2012

BCS: Compressive sensing for binary sparse signals.

[BibT_eX]

[DOI]

Nazanin Rahnavard

Proceedings of the 31st IEEE Military Communications Conference, 2012

2011

Joint wideband spectrum sensing in frequency overlapping cognitive radio networks using distributed compressive sensing.

[BibT_eX]

[DOI]