Research

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.

PUBLICATIONS

74 Z. Zhao, H.-L. Lee, D. Ruan, Z. Ming, F. Han, A. Bedayat, A. G. Christodoulou, J. P. Finn, and K.-L. Nguyen

Ferumoxytol-enhanced 5D multiphase steady-state imaging using rotating Cartesian k-space with low-rank reconstruction for pediatric congenital heart disease

Journal of Magnetic Resonance Imaging, in press.

73 Z. Ming, A. Pogosyan, A. G. Christodoulou, J. P. Finn, D. Ruan, and K.-L. Nguyen

Dynamic regularized adaptive cluster optimization (DRACO) for quantitative cardiac cine MRI in complex arrhythmias

Journal of Magnetic Resonance Imaging, in press.

72 K. Cheema, P. Han, H.-L. Lee, Y. Xie, A. G. Christodoulou, and D. Li

Accelerated CEST imaging through deep learning quantification from reduced frequency offsets

Magnetic Resonance in Medicine, Jan. 2025, vol. 93, no. 1, pp. 301-310.

71 J. Chen, A. G. Christodoulou, P. Han, J. Xiao, F. Han, Z. Hu, N. Wang, H. Han, D. C. Ling, E. L. Chang, M. Feng, J. E. Scholey, S. Cui, D. Li, W. Yang, and Z. Fan

Abdominal MR Multitasking for radiotherapy treatment planning: A motion-resolved and multicontrast 3D imaging approach

Magnetic Resonance in Medicine, Jan. 2025, vol. 93, no. 1, pp. 108-120.

70 S. Qiu, L. Wang, P. Sati, A. G. Christodoulou, Y. Xie, and D. Li

Physics-guided self-supervised learning for retrospective T1 and T2 mapping from conventional weighted brain MRI: Technical developments and initial validation in glioblastoma

Magnetic Resonance in Medicine, Dec. 2024, vol. 92, no. 6, pp. 2683-2695.

69 T. Cao, Z. Hu, X. Mao, Z. Chen, A. C. Kwan, Y. Xie, D. S. Berman, D. Li, and A. G. Christodoulou

Alternating low-rank tensor reconstruction for improved multiparametric mapping with cardiovascular MR Multitasking

Magnetic Resonance in Medicine, Oct. 2024, vol. 92, no. 4, pp. 1421-1439.

68 Y. L. Wu, A. G. Christodoulou, J. H. Beumer, L. H. Rigatti, R. Fisher, M. Ross, S. Watkins, D. R. E. Cortes, C. Ruck, S. Manzoor, S. K. Wyman, M. C. Stapleton, E. Goetzman, S. Bharathi, P. Wipf, H. Wang, T. Tan, S. M. Christner, J. Guo, C. W. Y. Lo, M. W. Epperly, J. S. Greenberger

Mitigation of fetal radiation injury from mid-gestation total-body irradiation by maternal administration of mitochondrial-targeted GS-nitroxide JP4-039

Radiation Research, Sept. 2024, vol. 202, no. 3, pp. 565-579.

67 K. Isodono, H. Matsumoto, D. Li, P. J. Slomka, D. Dey, S. Cadet, D. Irie, S. Higuchi, H. Tanisawa, M. Nakazawa, Y. Komori, H. Ohya, R. Kitamura, T. Hondera, I. Sato, H.-L. Lee, A. G. Christodoulou, Y. Xie, and T. Shinke

Coronary plaque characterization with T1-weighted MRI and near-infrared spectroscopy to predict periprocedural myocardial injury

Radiology: Cardiothoracic Imaging, Aug. 2024, vol. 6, no. 4, p. e230339.

66 D. R. E. Cortes, M. C. Stapleton, K. E. Schwab, D. West, N. W. Coulson, M. G. O’Donnell, A. G. Christodoulou, R. W. Powers, and Y. L. Wu

Modeling normal mouse uterine contraction and placental perfusion with non-invasive longitudinal dynamic contrast enhancement MRI

PLOS One, Jul. 2024, vol. 19, no. 7, p. e0303957.

65 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.

64 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.

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

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