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
Journal of Magnetic Resonance Imaging, in press. |
73 | Z. Ming, A. Pogosyan, A. G. Christodoulou, J. P. Finn, D. Ruan, and K.-L. Nguyen
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Magnetic Resonance in Medicine, Apr. 2023, vol. 89, no. 4, pp. 1496-1505. |
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
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
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†
Magnetic Resonance in Medicine, Oct. 2022, vol. 88, no. 4, pp. 1748-1763. †Contributed equally |
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†
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
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
Radiology, Mar. 2022, vol. 302, no. 3, pp. 557-565. |
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†
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†
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. |
36 | F. M. Serry, S. Ma, X. Mao, F. Han, Y. Xie, H. Han, D. Li, and A. G. Christodoulou
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†
Magnetic Resonance in Medicine, Jun. 2021, vol. 85, no. 6, pp. 3096-3111. †Contributed equally |
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
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†
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†
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 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†
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
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
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
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
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. |
19 | Y. Chen, F. Shi, A. G. Christodoulou, Z. Zhou, Y. Xie, and D. Li
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. |
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. |
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. |
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
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
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
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
32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Buenos Aires, Argentina, 2010, pp. 871-874. |