Anthony G. Christodoulou
Orcid: 0000-0002-9334-8684
According to our database1,
Anthony G. Christodoulou
authored at least 19 papers
between 2011 and 2022.
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Bibliography
2022
Data-Consistent Non-Cartesian Deep Subspace Learning for Efficient Dynamic MR Image Reconstruction.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2020
Accelerated Dynamic Magnetic Resonance Imaging Using Learned Representations: A New Frontier in Biomedical Imaging.
IEEE Signal Process. Mag., 2020
MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better.
CoRR, 2020
2019
Deep Learning Within a Priori Temporal Feature Spaces for Large-Scale Dynamic MR Image Reconstruction: Application to 5-D Cardiac MR Multitasking.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Accelerated Cardiac Diffusion Tensor Imaging Using Joint Low-Rank and Sparsity Constraints.
IEEE Trans. Biomed. Eng., 2018
Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2016
IEEE Trans. Medical Imaging, 2016
2015
PhD thesis, 2015
2014
IEEE Trans. Biomed. Eng., 2014
Accelerating Cardiovascular Magnetic Resonance Imaging: Signal Processing Meets Nuclear Spins [Life Sciences].
IEEE Signal Process. Mag., 2014
Super-resolution hyperspectral imaging with unknown blurring by low-rank and group-sparse modeling.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
High-Resolution Cardiovascular MRI by Integrating Parallel Imaging With Low-Rankand Sparse Modeling.
IEEE Trans. Biomed. Eng., 2013
2012
Image Reconstruction From Highly Undersampled ( k, t) -Space Data With Joint Partial Separability and Sparsity Constraints.
IEEE Trans. Medical Imaging, 2012
Accelerating cardiovascular imaging by exploiting regional low-rank structure via group sparsity.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
Further development of image reconstruction from highly undersampled (k, t)-space data with joint partial separability and sparsity constraints.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011