BIOGRAPHY

Anthony Christodoulou is faculty in Radiology, Bioengineering, and Physics & Biology in Medicine at the University of California, Los Angeles (UCLA). Previously, he was Associate Professor of Biomedical Sciences and the Director of Magnetic Resonance Technology Innovations for the Biomedical Imaging Research Institute at Cedars-Sinai Medical Center (CSMC). He received his Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign (UIUC) and his B.S. and M.S. degrees in Electrical Engineering from the University of Southern California (USC).

Prof. Christodoulou’s research laboratory develops and translates novel magnetic resonance imaging (MRI) techniques through innovations in MR physics, machine learning, and image reconstruction. His group’s primary focus is on multidimensional quantitative imaging methods for the diagnosis, risk prediction, and treatment monitoring of cardiovascular diseases and cancer. He has authored publications in outlets including Nature Biomedical Engineering, Magnetic Resonance in Medicine, Journal of Cardiovascular Magnetic Resonance, Radiology, IEEE Signal Processing Magazine, and IEEE Transactions on Medical Imaging. His work on 4D cardiovascular MR (CMR) received the best paper award at the 2011 IEEE Engineering in Medicine and Biology Conference. His work on multidimensional quantitative cardiovascular imaging, dubbed MR Multitasking, received the 2016 Society for MR Angiography (SMRA) E. James Potchen Award for Best Oral Presentation, was a finalist for the 2017 Society for CMR (SCMR) Early Career Award, and received the 2018 SCMR Clinical Seed Grant Award.

Dr. Christodoulou is an Executive Board member of the SMRA, a Fellow of the SCMR, and a member of the ISMRM, IEEE, and AHA.

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PUBLICATIONS

65	A. G. Christodoulou, G. Cruz, A. Arami, S. Weingärtner, J. Artico, D. Peters, and N. Seiberlich The future of cardiovascular magnetic resonance: All-in-one vs. real-time (Part 1) Journal of Cardiovascular Magnetic Resonance, Jun. 2024, vol. 26, no. 1, p. 100997.
64	M. Nakazawa, H. Matsumoto, D. Li, P. J. Slomka, D. Damini, S. Cadet, K. Isodono, D. Irie, S. Higuchi, H. Tanisawa, H. Ohya, R. Kitamura, Y. Komori, T. Hondera, I. Sato, H.-L. Lee, A. G. Christodoulou, Y. Xie, and T. Shinke Rapid three-dimensional quantification of high-intensity plaques from coronary atherosclerosis T₁-weighted characterization to predict periprocedural myocardial injury Journal of Cardiovascular Magnetic Resonance, Jun. 2024, vol. 26, no. 1, p. 100999.
63	X. Guan, H.-J. Yang, X. Zhang, N. Wang, H. Han, R. Tang, Z. Hu, K. Youssef, K. Vora, M. S. Krishnam, A. G. Christodoulou, D. Li, B. Sharif, and R. Dharmakumar Non-electrocardiogram-gated, free-breathing, off-resonance reduced, high-resolution, whole-heart myocardial T₂* mapping at 3 T within 5 min Magnetic Resonance in Medicine, May 2024, vol. 91, no. 6, pp. 1936-1950.
62	Z. Ming, A. Pogosyan, C. Gao, C. M. Colbert, H. H. Wu, J. P. Finn, D. Ruan, P. Hu, A. G. Christodoulou, and K.-L. Nguyen ECG-free cine MRI with data-driven clustering of cardiac motion for quantification of ventricular function NMR in Biomedicine, Apr. 2024, vol. 37, no. 4, p. e5091.
61	Z. Chen, M. C. Stapleton, Y. Xie, D. Li, Y. L. Wu^†, and A. G. Christodoulou^† Physics-informed deep learning for T2-deblurred superresolution turbo spin echo MRI Magnetic Resonance in Medicine, Dec. 2023, vol. 90, no. 6, pp. 2362-2374. ^†Contributed equally
60	S. Qiu, S. Ma, L. Wang, Y. Chen, Z. Fan, F. G. Moser, M. Maya, P. Sati, N. L. Sicotte, A. G. Christodoulou, Y. Xie, and D. Li Direct synthesis of multi‐contrast brain MR images from MR multitasking spatial factors using deep learning Magnetic Resonance in Medicine, Oct. 2023, vol. 90, no. 4, pp. 1672-1681.
59	H. Sun, L. Wang, T. Daskivich, S. Qiu, F. Han, A. D’Agnolo, R. Saouaf, A. G. Christodoulou, H. Kim, D. Li, and Y. Xie Retrospective T2 quantification from conventional weighted MRI of the prostate based on deep learning Frontiers in Radiology, Oct. 2023, vol. 3, p. 1223377.
58	C. D. Sheagren, T. Cao, J. H. Patel, Z. Chen, H.-L. Lee, N. Wang, A. G. Christodoulou, and G. A. Wright Motion-compensated T₁ mapping in cardiovascular magnetic resonance imaging: a technical review Frontiers in Cardiovascular Medicine, Sept. 2023, vol. 10, p. 1160183.
57	C. Wu, N. Wang, S. Gaddam, L. Wang, H. Han, K. Sung, A. G. Christodoulou, Y. Xie, S. Pandol, and D. Li Retrospective quantification of clinical abdominal DCE-MRI using pharmacokinetics-informed deep learning: a proof-of-concept study Frontiers in Radiology, Sept. 2023, vol. 3, p. 1168901.
56	A. G. Christodoulou Editorial for “Assessing tissue hydration dynamics based on water/fat separated MRI” Journal of Magnetic Resonance Imaging, Aug. 2023, vol. 58, no. 2, pp. 661-662.
55	A. Radjenovic and A. G. Christodoulou Editorial: Simultaneous multiparametric and multidimensional cardiovascular magnetic resonance imaging Frontiers in Cardiovascular Medicine, Jun. 2023, vol. 10, p. 1205994.
54	Z. Hu, J. Xiao, X. Mao, Y. Xie, A. C. Kwan, S. S. Song, M. W. Fong, A. G. Wilcox, D. Li, A. G. Christodoulou, and Z. Fan MR Multitasking-based multi-dimensional assessment of cardiovascular system (MT-MACS) with extended spatial coverage and water-fat separation Magnetic Resonance in Medicine, Apr. 2023, vol. 89, no. 4, pp. 1496-1505. Cover Article
53	P. Han, K. Cheema, T. Cao, H.-L. Lee, F. Han, N. Wang, H. Han, Y. Xie, A. G. Christodoulou^†, and D. Li^† Free-breathing 3D CEST MRI of human liver at 3.0 T Magnetic Resonance in Medicine, Feb. 2023, vol. 89, no. 2, pp. 738-745. ^†Contributed equally
52	Z. Hu, A. G. Christodoulou, N. Wang, Y. Xie, M. S. Shiroishi, W. Yang, G. Zada, F. E. Chow, A. S. Margol, B. Tamrazi, E. L. Chang, D. Li, and Z. Fan MR multitasking-based dynamic imaging for cerebrovascular evaluation (MT-DICE): Simultaneous quantification of permeability and leakage-insensitive perfusion by dynamic T₁/T₂^* mapping Magnetic Resonance in Medicine, Jan. 2023, vol. 89, no. 1, pp. 161-176.
51	N. Wang, S. Gaddam, Y. Xie, A. G. Christodoulou, C. Wu, S. Ma, Z. Fan, L. Wang, S. Lo, A. E. Hendifar, S. J. Pandol, and D. Li Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis from pancreatic ductal adenocarcinoma Frontiers in Oncology, Jan. 2023, vol. 12, p. 1007134.
50	Z. Deng, T. A. Qureshi, S. Javed, L. Wang, A. G. Christodoulou, Y. Xie, S. Gaddam, S. J. Pandol, and D. Li FedRNN: Federated learning with RNN-based aggregation on pancreas segmentation 3rd International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD), Leicester, United Kingdom, 2022, vol. 810, pp. 453-464.
49	A. G. Christodoulou Low-Rank Matrix and Tensor–Based Reconstruction Magnetic Resonance Image Reconstruction: Theory, Methods, and Applications, Academic Press (Elsevier), 2022, pp. 223-247
48	T. Cao, N. Wang, A. C. Kwan, H.-L. Lee, X. Mao, Y. Xie, K.-L. Nguyen, C. M. Colbert, F. Han, P. Han, H. Han, A. G. Christodoulou^†, and D. Li^† Free-breathing, non-ECG, simultaneous myocardial T₁, T₂, T₂*, and fat-fraction mapping with motion-resolved cardiovascular MR multitasking Magnetic Resonance in Medicine, Oct. 2022, vol. 88, no. 4, pp. 1748-1763. ^†Contributed equally Editor’s Pick
47	G. McIlvain, A. M. Cerjanic, A. G. Christodoulou, M. D. J. McGarry, and C. L. Johnson OSCILLATE: A low-rank approach for accelerated magnetic resonance elastography Magnetic Resonance in Medicine, Oct. 2022, vol. 88, no. 4, pp. 1659-1672.
46	P. Han, J. Chen, J. Xiao, F. Han, Z. Hu, W. Yang, M. Cao, D. C. Ling, D. Li, A. G. Christodoulou^†, and Z. Fan^† Single projection driven real-time multi-contrast (SPIDERM) MR imaging using pre-learned spatial subspace and linear transformation Physics in Medicine and Biology, Jun. 2022, vol. 67, no. 13, p. 135008. ^†Contributed equally
45	L. Wang, Z. Zhou, S. Gaddam, N. Wang, Y. Xie, Z. Deng, Z. Fan, A. G. Christodoulou, F. Han, S. K. Lo, A. M. Wachsman, A. E. Hendifar, T. Jiang, S. J. Pandol, and D. Li Chemical exchange saturation transfer for pancreatic ductal adenocarcinoma evaluation Pancreas, May 2022, vol. 51, no. 5, pp. 463-468.
44	P. Han, K. Cheema, H.-L. Lee, Z. Zhou, T. Cao, S. Ma, N. Wang, H. Han, A. G. Christodoulou^†, and D. Li^† Whole-brain steady-state CEST at 3 T using MR Multitasking Magnetic Resonance in Medicine, May 2022, vol. 87, no. 5, pp. 2363-2371. ^†Contributed equally
43	Z. Chen, Y. Chen, Y. Xie, D. Li, and A. G. Christodoulou Data-Consistent non-Cartesian deep subspace learning for efficient dynamic MR image reconstruction 2022 IEEE International Symposium on Biomedical Imaging (ISBI), Kokata, India, 2022.
42	X. Mao, H.-L. Lee, Z. Hu, T. Cao, F. Han, S. Ma, F. M. Serry, Z. Fan, Y. Xie, D. Li, and A. G. Christodoulou Simultaneous multi-slice cardiac MR Multitasking for motion-resolved, non-ECG, free-breathing T1–T2 mapping Frontiers in Cardiovascular Medicine, Mar. 2022, vol. 9, p. 833257.
41	S. Sato, H. Matsumoto, D. Li, H. Ohya, H. Mori, K. Sakai, K. Ogura, Y. Oishi, R. Masaki, H. Tanaka, S. Kondo, H. Tsujita, S. Tsukamoto, K. Isodono, R. Kitamura, Y. Komori, N. Yoshii, I. Sato, A. G. Christodoulou, Y. Xie, and T. Shinke Coronary high-intensity plaques at T1-weighted MRI in stable coronary artery disease: comparison with near-infrared spectroscopy intravascular US Radiology, Mar. 2022, vol. 302, no. 3, pp. 557-565. Accompanying Editorial
40	T. Cao, S. Ma, N. Wang, S. Gharabaghi, Y. Xie, Z. Fan, E. Hogg, C. Wu, F. Han, M. Tagliati, E. M. Haacke, A. G. Christodoulou^†, and D. Li^† Three-dimensional simultaneous brain mapping of T1, T2, T2* and magnetic susceptibility with MR Multitasking Magnetic Resonance in Medicine, Mar. 2022, vol. 87, no. 3, pp. 1375-1389. ^†Contributed equally
39	S. Qiu, Y. Chen, S. Ma, Z. Fan, F. G. Moser, M. M. Maya, A. G. Christodoulou, Y. Xie, and D. Li Multiparametric mapping in the brain from conventional contrast-weighted images using deep learning Magnetic Resonance in Medicine, Jan. 2022, vol. 87, no. 1, pp. 488-495.
38	N. Wang, T. Cao, F. Han, Y. Xie, X. Zhong, S. Ma, A. Kwan, Z. Fan, H. Han, X. Bi, M. Noureddin, V. Deshpande, A. G. Christodoulou^†, and D. Li^† Free-breathing multitasking multi-echo MRI for whole-liver water-specific T₁, proton density fat fraction, and R₂^* quantification Magnetic Resonance in Medicine, Jan. 2022, vol. 87, no. 1, pp. 120-137. ^†Contributed equally
37	S. Ma, N. Wang, Y. Xie, Z. Fan, D. Li, and A. G. Christodoulou Motion-robust quantitative multiparametric brain MRI with motion-resolved MR multitasking Magnetic Resonance in Medicine, Jan. 2022, vol. 87, no. 1, pp. 102-119. Editor’s Pick
36	F. M. Serry, S. Ma, X. Mao, F. Han, Y. Xie, H. Han, D. Li, and A. G. Christodoulou Dual flip-angle IR-FLASH with spin history mapping for B1+ corrected T1 mapping: Application to T1 cardiovascular magnetic resonance multitasking Magnetic Resonance in Medicine, Dec. 2021, vol. 86, no. 6, pp. 3182-3191.
35	H.-J. Yang, F. Serry, P. Hu, Z. Fan, H. Shim, A. G. Christodoulou, N. Wang, A. C. Kwan, Y. Xie, Y. Huang, J. Stager, W. Liu, L. Azab, R. Handelin, M. Lu, G. Yoosefian, M. Wang, R. Dharmakumar, D. Li, and H. Han Ultra-Homogeneous B0 field for high-field body magnetic resonance imaging with unified shim-RF coils Research Square preprint, Aug. 2021.
34	N. Wang, Y. Xie, Z. Fan, S. Ma, R. Saouaf, Y. Guo, S. L. Shiao, A. G. Christodoulou^†, and D. Li^† Five‐dimensional quantitative low‐dose Multitasking dynamic contrast-enhanced MRI: Preliminary study on breast cancer Magnetic Resonance in Medicine, Jun. 2021, vol. 85, no. 6, pp. 3096-3111. ^†Contributed equally I. I. Rabi Award Finalist (to N. Wang), ISMRM 2021
33	C. T. Nguyen, A. G. Christodoulou, J. Coll-Font, S. Ma, Y. Xie, T. G. Reese, C. Mekkaoui, G. D. Lewis, X. Bi, D. E. Sosnovik, and D. Li Free‐breathing diffusion tensor MRI of the whole left ventricle using second‐order motion compensation and multitasking respiratory motion correction Magnetic Resonance in Medicine, May 2021, vol. 85, no. 5, pp. 2634-2648.
32	S. Ma, N. Wang, Z. Fan, M. Kaisey, N. L. Sicotte, A. G. Christodoulou^†, and D. Li^† Three‐dimensional whole‐brain simultaneous T1, T2, and T1ρ quantification using MR Multitasking: Method and initial clinical experience in tissue characterization of multiple sclerosis Magnetic Resonance in Medicine, Apr. 2021, vol. 85, no. 4, pp. 1938-1952. ^†Contributed equally
31	P. Han, R. Zhang, S. Wagner, Y. Xie, E. Cingolani, E. Marbán, A. G. Christodoulou^†, and D. Li^† ECG-less, free-breathing myocardial ECV mapping in small animals at high heart rates using motion-resolved CMR multitasking: a feasibility study in a HFpEF rat model Journal of Cardiovascular Magnetic Resonance, Feb. 2021, vol. 23, p. 8. ^†Contributed equally
30	Z. Hu, A. G. Christodoulou, N. Wang, J. L. Shaw, S. S. Song, M. M. Maya, M. L. Ishimori, L. J. Forbess, J. Xiao, X. Bi, F. Han, D. Li, and Z. Fan Magnetic resonance multitasking for multidimensional assessment of cardiovascular system: Development and feasibility study on the thoracic aorta Magnetic Resonance in Medicine, Nov. 2020, vol. 84, no. 5, pp. 2376-2388.
29	N. Wang, S. Gaddam, L. Wang, Y. Xie, Z. Fan, W. Yang, R. Tuli, S. Lo, A. Hendifar, S. Pandol, A. G. Christodoulou^†, and D. Li^† Six‐dimensional quantitative DCE MR Multitasking of the entire abdomen: Method and application to pancreatic ductal adenocarcinoma Magnetic Resonance in Medicine, Aug. 2020, vol. 84, no. 2, pp. 928-948. ^†Contributed equally
28	S. Ma, C. Nguyen, F. Han, Z. Deng, N. Binesh, F. Moser, A. G. Christodoulou^†, and D. Li^† Three-dimensional simultaneous brain T₁, T₂, and ADC mapping with MR Multitasking Magnetic Resonance in Medicine, Jul. 2020, vol. 84, no. 1, pp. 72-88. ^†Contributed equally
27	Y. Chen A. G. Christodoulou, Z. Zhou, F. Shi, Y. Xie, and D. Li MRI super-resolution with GAN and 3D Multi-Level DenseNet: Smaller, faster, and better arXiv:2003.01217 [cs.CV], Mar. 2020.
26	L. Wang, S. Gaddam, N. Wang, Y. Xie, Z. Deng, Z. Zhou, Z. Fan, T. Jiang, A. G. Christodoulou, F. Han, S. Lo, A. M. Wachsman, A. Hendifar, S. Pandol, and D. Li Multiparametric mapping magnetic resonance imaging of pancreatic disease Frontiers in Physiology, Feb. 2020, vol. 11, p. 8.
25	A. G. Christodoulou and S. G. Lingala Accelerated dynamic magnetic resonance imaging using learned representations: A new frontier in biomedical imaging IEEE Signal Processing Magazine, Jan. 2020, vol. 37, no. 1, pp. 83-93.
24	Y. Chen, J. L. Shaw, Y. Xie, D. Li, and A. G. Christodoulou Deep learning within a priori temporal feature spaces for large-scale dynamic MR image reconstruction: Application to 5-D cardiac MR Multitasking 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, 2019, vol. 11765, pp. 495-504.
23	J. L. Shaw, Q. Yang, Z. Zhou, Z. Deng, C. Nguyen, D. Li, and A. G. Christodoulou Free-breathing, non-ECG, continuous myocardial T₁ mapping with cardiovascular magnetic resonance multitasking Magnetic Resonance in Medicine, Apr. 2019, vol. 81, no. 4, pp. 2450-2463.
22	N. Wang^†, A. G. Christodoulou^†, Y. Xie^†, Z. Wang, Z. Deng, B. Zhou, S. Lee, Z. Fan, H. Chang, W. Yu, and D. Li Quantitative 3D dynamic contrast enhanced (DCE) MR imaging of carotid vessel wall by fast T1 mapping using Multitasking Magnetic Resonance in Medicine, Apr. 2019, vol. 81, no. 4, pp. 2302-2314. ^†Contributed equally
21	Z. Zhou, P. Han, B. Zhou, A. G. Christodoulou, J. L. Shaw, Z. Deng, and D. Li Chemical exchange saturation transfer fingerprinting for exchange rate quantification Magnetic Resonance in Medicine, Oct. 2018, vol. 80, no. 4, pp. 1352-1363.
20	S. Ma, C. Nguyen, A. G. Christodoulou, D. Luthringer, J. Kobashigawa, S.-E. Lee, H.-J. Chang, and D. Li Accelerated cardiac diffusion tensor imaging using joint low-rank and sparsity constraints IEEE Transactions on Biomedical Engineering, Oct. 2018, vol. 65, no. 10, pp. 2219-2230. Article feature
19	Y. Chen, F. Shi, A. G. Christodoulou, Z. Zhou, Y. Xie, and D. Li Efficient and accurate MRI super-resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain, 2018, vol. 11070, pp. 91-99.
18	A. G. Christodoulou, J. L. Shaw, C. Nguyen, Q. Yang, Y. Xie, N. Wang, and D. Li Magnetic resonance multitasking for motion-resolved quantitative cardiovascular imaging Nature Biomedical Engineering, Apr. 2018, vol. 2, no. 4, pp. 215-226. Free ReadCube access \| NBME News & Views \| Behind the Paper
17	Y. Chen, Y. Xie, Z. Zhou, F. Shi, A. G. Christodoulou, and D. Li Brain MRI super resolution using 3D Deep Densely Connected Neural Networks 2018 IEEE International Symposium on Biomedical Imaging (ISBI), Washington, DC, 2018, pp. 739-742.
16	J. He, Q. Liu, A. G. Christodoulou, C. Ma, F. Lam, and Z.-P. Liang Accelerated high-dimensional MR imaging with sparse sampling using low-rank tensors IEEE Transactions on Medical Imaging, Sept. 2016, vol. 35, no. 9, pp. 2119-2129.
15	A. G. Christodoulou, G. Redler, B. Clifford, Z.-P. Liang, H. J. Halpern, and B. Epel Fast dynamic electron paramagnetic resonance (EPR) oxygen imaging using low-rank tensors Journal of Magnetic Resonance, Sept. 2016, vol. 270, pp. 176-182.
14	A. G. Christodoulou A subspace approach to accelerated cardiovascular magnetic resonance imaging PhD Dissertation, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Apr. 2015.
13	H. Huang, A. G. Christodoulou, and W. Sun Super-Resolution hyperspectral imaging with unknown blurring by low-rank and group-sparse modeling 2014 IEEE International Conference on Image Processing (ICIP), Paris, France, 2014, pp. 2155-2159.
12	A. G. Christodoulou, P. Kellman, and Z.-P. Liang Accelerating cardiovascular magnetic resonance imaging: Signal processing meets nuclear spins IEEE Signal Processing Magazine, Sept. 2014, vol. 31, no. 5, pp. 138-143.
11	A. G. Christodoulou, T. K. Hitchens, Y. L. Wu, C. Ho, and Z.-P. Liang Improved subspace estimation for low-rank model-based accelerated cardiac imaging IEEE Transactions on Biomedical Engineering, Sept. 2014, vol. 61, no. 9, pp. 2451-2457. Article feature
10	A. G. Christodoulou, Y. L. Wu, T. K. Hitchens, C. Ho, and Z.-P. Liang Self-Navigated low-rank MRI for MPIO-labeled immune cell imaging of the heart 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, Illinois, 2014, pp. 1529-1532.
9	A. G. Christodoulou, H. Zhang, B. Zhao, T. K. Hitchens, C. Ho, and Z.-P. Liang High-resolution cardiovascular MRI by integrating parallel imaging with low-rank and sparse modeling IEEE Transactions on Biomedical Engineering, Nov. 2013, vol. 60, no. 11, pp. 3083-3092. Article feature
8	A. G. Christodoulou, T. E. Bauer, K. A. Kiehl, S. W. Feldstein Ewing, A. D. Bryan, and V. D. Calhoun A quality control method for detecting and suppressing uncorrected residual motion in fMRI studies Magnetic Resonance Imaging, Jun. 2013, vol. 31, no. 5, pp. 707-717.
7	G. Xie, X. Feng, A. G. Christodoulou, D. Weng, X. Liu, and B. Qiu High resolution dynamic cardiac MRI using partial separability of spatiotemporal signals with a novel sampling scheme Magnetic Resonance Imaging, May 2013, vol. 31, no. 4, pp. 529-537.
6	B. Zhao, J. P. Haldar, A. G. Christodoulou, and Z.-P. Liang Image reconstruction from highly undersampled (k, t)-space data with joint partial separability and sparsity constraints IEEE Transactions on Medical Imaging, Sept. 2012, vol. 31, no. 9, pp. 1809-1820.
5	A. G. Christodoulou, S. D. Babacan, and Z.-P. Liang Accelerating cardiovascular imaging by exploiting regional low-rank structure via group sparsity 2012 IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, 2012, pp. 330-333.
4	A. G. Christodoulou, B. Zhao, H. Zhang, C. Ho, and Z.-P. Liang Four-dimensional MR cardiovascular imaging: Method and applications 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Boston, Massachusetts, 2011, pp. 3732-3735. Best Paper Award (1st Place), IEEE-EMBC 2011
3	A. G. Christodoulou, B. Zhao, and Z.-P. Liang Regularized image reconstruction for PS model-based cardiovascular MRI 2011 IEEE International Symposium on Biomedical Imaging (ISBI), Chicago, Illinois, 2011, pp. 57-60.
2	B. Zhao, J. P. Haldar, A. G. Christodoulou, and Z.-P. Liang Further development on image reconstruction from highly undersampled (k, t)-space data with joint partial separability and sparsity constraints 2011 IEEE International Symposium on Biomedical Imaging (ISBI), Chicago, Illinois, 2011, pp. 1593-1596.
1	A. G. Christodoulou, C. Brinegar, J. P. Haldar, H. Zhang, Y.-J. L. Wu, L. M. Foley, T. K. Hitchens, Q. Ye, C. Ho, and Z.-P. Liang High-resolution cardiac MRI using partially separable functions and weighted spatial smoothness regularization 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Buenos Aires, Argentina, 2010, pp. 871-874.