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Anthony Christodoulou, PhD

Associate Professor of Radiology, Bioengineering, and Physics & Biology in Medicine

About

Prof. Christodoulou received his Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign (UIUC) and B.S. and M.S. degrees in Electrical Engineering from the University of Southern California (USC). Before joining the UCLA Department of Radiological Sciences in 2023, he was faculty in Medicine and Bioengineering at UCLA, as well as Associate Professor of Biomedical Sciences and Director of Magnetic Resonance Technology Innovations at Cedars-Sinai Medical Center (CSMC).

Dr. Christodoulou's lab develops and translates novel MRI techniques through innovations in MR physics, machine learning, and image reconstruction. Our primary focus is on multidimensional quantitative imaging methods for the diagnosis, risk prediction, and treatment monitoring of cardiovascular diseases and cancer.


 

Education and Degree(s)

  • Ph.D. in Electrical and Computer Engineering
    • University of Illinois at Urbana-Champaign (UIUC)
  • M.S. in Electrical Engineering
    • University of Southern California (USC)
  • B.S. in Electrical Engineering
    • University of Southern California (USC)

Publications

  • Hybrid strategy of coronary atherosclerosis characterization with T1-weighted MRI and CT angiography to noninvasively predict periprocedural myocardial injury. Eur Heart J Cardiovasc Imaging. 2025 Apr 17.Matsumoto H, Higuchi S, Li D, Tanisawa H, Isodono K, Irie D, Ohya H, Kitamura R, Kaneko K, Nakazawa M, Suzuki K, Komori Y, Hondera T, Cadet S, Lee HL, Christodoulou AG, Slomka PJ, Dey D, Xie Y, Shinke T.  PMID: 40241659.
  • Highlights of the Society for Magnetic Resonance Angiography 2024 Conference. J Cardiovasc Magn Reson. 2025 Mar 12; 101878.Prieto C, Mossa-Basha M, Christodoulou A, Sheagren CD, Guo Y, Radjenovic A, Zhao X, Collins JD, Botnar RM, Wieben O.  PMID: 40086635.
  • Repeatability-encouraging self-supervised learning reconstruction for quantitative MRI. Magn Reson Med. 2025 Feb 27.Chen Z, Hu Z, Xie Y, Li D, Christodoulou AG.  PMID: 40014485.
  • Generalizable, sequence-invariant deep learning image reconstruction for subspace-constrained quantitative MRI. Magn Reson Med. 2025 Jul; 94(1):89-104.Hu Z, Chen Z, Cao T, Lee HL, Xie Y, Li D, Christodoulou AG.  PMID: 39834093; PMCID: PMC12021335.
  • Accurate Intramyocardial Hemorrhage Assessment with Fast, Free-running, Cardiac Quantitative Susceptibility Mapping. Radiol Cardiothorac Imaging. 2024 Dec; 6(6):e230376.Huang Y, Guan X, Zhang X, Yoosefian G, Ho H, Huang LT, Lin HY, Anthony G, Lee HL, Bi X, Han F, Chan SF, Vora KP, Sharif B, Singh DP, Youssef K, Li D, Han H, Christodoulou AG, Dharmakumar R, Yang HJ.  PMID: 39665631; PMCID: PMC11683678.
  • Accelerated CEST imaging through deep learning quantification from reduced frequency offsets. Magn Reson Med. 2025 Jan; 93(1):301-310.Cheema K, Han P, Lee HL, Xie Y, Christodoulou AG, Li D.  PMID: 39270056.

Honors and Awards

  • Fellow, Society for Cardiovascular Magnetic Resonance (SCMR), 2022
  • Clinical Seed Grant Winner, Society for Cardiovascular Magnetic Resonance (SCMR), 2018
  • Early Career Award Finalist (Translational), Society for Cardiovascular Magnetic Resonance (SCMR), 2017
  • E. James Potchen Award for Best Oral Presentation, Society for Magnetic Resonance Angiography (SMRA), 2016
  • Best Paper Award, IEEE Engineering in Medicine and Biology Conference (EMBC), 2011