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Ukash Nakarmi

Showing results (1-10 of 13) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Parallel MRI Reconstruction Using Broad Learning SystemYuchou Chang, Ukash Nakarmi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Cut-Puzzle mix: Scribble Guided Medical Image Segmentation without Segmentation MasksIbsa Jalata, Ukash Nakarmi
Proceedings. IEEE International Symposium on Biomedical Imaging|April 23, 2019
MLS: Joint Manifold-Learning and Sparsity-Aware Framework for Highly Accelerated Dynamic Magnetic Resonance ImagingUkash Nakarmi, Konstantinos Slavakis, Leslie Ying
Proceedings. IEEE International Symposium on Biomedical Imaging|April 9, 2019
M-MRI: A Manifold-based Framework to Highly Accelerated Dynamic Magnetic Resonance ImagingUkash Nakarmi, Konstantinos Slavakis, Jingyuan Lyu, et al.
IEEE Transactions on Medical Imaging|August 15, 2018
KerNL: Kernel-Based Nonlinear Approach to Parallel MRI ReconstructionJingyuan Lyu, Ukash Nakarmi, Dong Liang, et al.
IEEE Transactions on Medical Imaging|July 11, 2017
A Kernel-Based Low-Rank (KLR) Model for Low-Dimensional Manifold Recovery in Highly Accelerated Dynamic MRIUkash Nakarmi, Yanhua Wang, Jingyuan Lyu, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|November 12, 2019
ACCELERATING DYNAMIC MAGNETIC RESONANCE IMAGING BY NONLINEAR SPARSE CODINGUkash Nakarmi, Yihang Zhou, Jingyuan Lyu, et al.
... International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. International Workshop on Computational Advances in Multi-Sensor Adaptive Processing|November 26, 2019
Bi-Linear Modeling of Manifold-Data Geometry for Dynamic-MRI RecoveryKonstantinos Slavakis, Gaurav N Shetty, Abhishek Bose, et al.
IEEE Transactions on Medical Imaging|August 13, 2019
Bi-Linear Modeling of Data Manifolds for Dynamic-MRI RecoveryGaurav Nagesh Shetty, Konstantinos Slavakis, Abhishek Bose, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|December 7, 2020
Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance ImagingUkash Nakarmi, Joseph Y Cheng, Edgar P Rios, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Parallel MRI Reconstruction Using Broad Learning SystemYuchou Chang, Ukash Nakarmi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Cut-Puzzle mix: Scribble Guided Medical Image Segmentation without Segmentation MasksIbsa Jalata, Ukash Nakarmi
Proceedings. IEEE International Symposium on Biomedical Imaging|April 23, 2019
MLS: Joint Manifold-Learning and Sparsity-Aware Framework for Highly Accelerated Dynamic Magnetic Resonance ImagingUkash Nakarmi, Konstantinos Slavakis, Leslie Ying
Proceedings. IEEE International Symposium on Biomedical Imaging|April 9, 2019
M-MRI: A Manifold-based Framework to Highly Accelerated Dynamic Magnetic Resonance ImagingUkash Nakarmi, Konstantinos Slavakis, Jingyuan Lyu, et al.
IEEE Transactions on Medical Imaging|August 15, 2018
KerNL: Kernel-Based Nonlinear Approach to Parallel MRI ReconstructionJingyuan Lyu, Ukash Nakarmi, Dong Liang, et al.
IEEE Transactions on Medical Imaging|July 11, 2017
A Kernel-Based Low-Rank (KLR) Model for Low-Dimensional Manifold Recovery in Highly Accelerated Dynamic MRIUkash Nakarmi, Yanhua Wang, Jingyuan Lyu, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|November 12, 2019
ACCELERATING DYNAMIC MAGNETIC RESONANCE IMAGING BY NONLINEAR SPARSE CODINGUkash Nakarmi, Yihang Zhou, Jingyuan Lyu, et al.
... International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. International Workshop on Computational Advances in Multi-Sensor Adaptive Processing|November 26, 2019
Bi-Linear Modeling of Manifold-Data Geometry for Dynamic-MRI RecoveryKonstantinos Slavakis, Gaurav N Shetty, Abhishek Bose, et al.
IEEE Transactions on Medical Imaging|August 13, 2019
Bi-Linear Modeling of Data Manifolds for Dynamic-MRI RecoveryGaurav Nagesh Shetty, Konstantinos Slavakis, Abhishek Bose, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|December 7, 2020
Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance ImagingUkash Nakarmi, Joseph Y Cheng, Edgar P Rios, et al.
Pageof 2