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ORCIDAnthony G. Christodoulou
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2020 – today
- 2022
[c10]Zihao Chen
, Yuhua Chen, Yibin Xie, Debiao Li, Anthony G. Christodoulou:
Data-Consistent Non-Cartesian Deep Subspace Learning for Efficient Dynamic MR Image Reconstruction. ISBI 2022: 1-5- [i5]Zihao Chen, Yuhua Chen, Yibin Xie, Debiao Li, Anthony G. Christodoulou:
Data-Consistent Non-Cartesian Deep Subspace Learning for Efficient Dynamic MR Image Reconstruction. CoRR abs/2205.01770 (2022) - 2020
- [j7]Anthony G. Christodoulou, Sajan Goud Lingala:
Accelerated Dynamic Magnetic Resonance Imaging Using Learned Representations: A New Frontier in Biomedical Imaging. IEEE Signal Process. Mag. 37(1): 83-93 (2020) - [i4]Yuhua Chen, Anthony G. Christodoulou, Zhengwei Zhou, Feng Shi, Yibin Xie, Debiao Li:
MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better. CoRR abs/2003.01217 (2020)
2010 – 2019
- 2019
- [c9]Yuhua Chen, Jaime L. Shaw, Yibin Xie, Debiao Li, Anthony G. Christodoulou:
Deep Learning Within a Priori Temporal Feature Spaces for Large-Scale Dynamic MR Image Reconstruction: Application to 5-D Cardiac MR Multitasking. MICCAI (2) 2019: 495-504 - [i3]Yuhua Chen, Jaime L. Shaw, Yibin Xie, Debiao Li, Anthony G. Christodoulou:
Deep learning within a priori temporal feature spaces for large-scale dynamic MR image reconstruction: Application to 5-D cardiac MR Multitasking. CoRR abs/1910.00956 (2019) - 2018
- [j6]Sen Ma, Christopher T. Nguyen, Anthony G. Christodoulou, Daniel Luthringer, Jon Kobashigawa, Sang-Eun Lee, Hyuk-Jae Chang, Debiao Li:
Accelerated Cardiac Diffusion Tensor Imaging Using Joint Low-Rank and Sparsity Constraints. IEEE Trans. Biomed. Eng. 65(10): 2219-2230 (2018) - [c8]Yuhua Chen, Yibin Xie, Zhengwei Zhou, Feng Shi, Anthony G. Christodoulou, Debiao Li:
Brain MRI super resolution using 3D deep densely connected neural networks. ISBI 2018: 739-742 - [c7]Yuhua Chen, Feng Shi, Anthony G. Christodoulou, Yibin Xie, Zhengwei Zhou, Debiao Li:
Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network. MICCAI (1) 2018: 91-99 - [i2]Yuhua Chen, Yibin Xie, Zhengwei Zhou, Feng Shi, Anthony G. Christodoulou, Debiao Li:
Brain MRI Super Resolution Using 3D Deep Densely Connected Neural Networks. CoRR abs/1801.02728 (2018) - [i1]Yuhua Chen, Feng Shi, Anthony G. Christodoulou, Zhengwei Zhou, Yibin Xie, Debiao Li:
Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network. CoRR abs/1803.01417 (2018) - 2016
- [j5]Jingfei He, Qiegen Liu, Anthony G. Christodoulou, Chao Ma, Fan Lam, Zhi-Pei Liang:
Accelerated High-Dimensional MR Imaging With Sparse Sampling Using Low-Rank Tensors. IEEE Trans. Medical Imaging 35(9): 2119-2129 (2016) - 2015
- [b1]Anthony G. Christodoulou:
A subspace approach to accelerated cardiovascular magnetic resonance imaging. University of Illinois Urbana-Champaign, USA, 2015 - 2014
- [j4]Anthony G. Christodoulou, Peter Kellman, Zhi-Pei Liang:
Accelerating Cardiovascular Magnetic Resonance Imaging: Signal Processing Meets Nuclear Spins [Life Sciences]. IEEE Signal Process. Mag. 31(5): 138-143 (2014) - [j3]Anthony G. Christodoulou, T. Kevin Hitchens, Yi-Jen Lin Wu, Chien Ho, Zhi-Pei Liang:
Improved Subspace Estimation for Low-Rank Model-Based Accelerated Cardiac Imaging. IEEE Trans. Biomed. Eng. 61(9): 2451-2457 (2014) - [c6]Anthony G. Christodoulou, Yi-Jen Lin Wu, T. Kevin Hitchens, Chien Ho, Zhi-Pei Liang:
Self-navigated low-rank MRI for MPIO-labeled immune cell imaging of the heart. EMBC 2014: 1529-1532 - [c5]Huijuan Huang, Anthony G. Christodoulou, Weidong Sun:
Super-resolution hyperspectral imaging with unknown blurring by low-rank and group-sparse modeling. ICIP 2014: 2155-2159 - 2013
- [j2]Anthony G. Christodoulou, Haosen Zhang, Bo Zhao, T. Kevin Hitchens, Chien Ho, Zhi-Pei Liang:
High-Resolution Cardiovascular MRI by Integrating Parallel Imaging With Low-Rankand Sparse Modeling. IEEE Trans. Biomed. Eng. 60(11): 3083-3092 (2013) - 2012
- [j1]Bo Zhao, Justin P. Haldar, Anthony G. Christodoulou, Zhi-Pei Liang:
Image Reconstruction From Highly Undersampled ( k, t) -Space Data With Joint Partial Separability and Sparsity Constraints. IEEE Trans. Medical Imaging 31(9): 1809-1820 (2012) - [c4]Anthony G. Christodoulou, S. Derin Babacan, Zhi-Pei Liang:
Accelerating cardiovascular imaging by exploiting regional low-rank structure via group sparsity. ISBI 2012: 330-333 - 2011
- [c3]Anthony G. Christodoulou, Bo Zhao, Haosen Zhang, Chien Ho, Zhi-Pei Liang:
Four-dimensional MR cardiovascular imaging: Method and applications. EMBC 2011: 3732-3735 - [c2]Anthony G. Christodoulou, Bo Zhao, Zhi-Pei Liang:
Regularized image reconstruction for PS model-based cardiovascular MRI. ISBI 2011: 57-60 - [c1]Bo Zhao, Justin P. Haldar, Anthony G. Christodoulou, Zhi-Pei Liang:
Further development of image reconstruction from highly undersampled (k, t)-space data with joint partial separability and sparsity constraints. ISBI 2011: 1593-1596
Coauthor Index
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