Yuni Dewaraja, PhD

Yuni K. Dewaraja
William Martel Research Professor of Radiology
Professor of Radiology, Medical School
University of Michigan
Radiology
2276 Med Sci I, 1301 Catherine
Ann Arbor, MI 48109
[email protected]
Available to mentor
Yuni Dewaraja, PhD
Yuni K. Dewaraja
Professor
  • Qualifications
  • Research Overview
  • Recent Publications
  • Manage Your Profile

  • Qualifications

    • Postdoctoral Research Fellow
      University of Michigan, Internal Medicine/Nuclear Medicine, Ann Arbor, USA
      1996 - 1998
      Postdoctoral Research
    • Postdoctoral Research Fellow
      University of Michigan, Nuclear Engineering, Ann Arbor, USA
      1995 - 1996
      Postdoctoral Research
    • PhD, Nuclear Engineering
      University of Michigan, Ann Arbor, MI, United States
      1990 - 1994
    • MS, Nuclear Engineering
      Kansas State University, Manhattan, KS, United States
      1988 - 1990
    • BS, Electrical Engineering
      University of Western Australia, Perth, Australia
      1982 - 1986

    Research Overview

    Radiation dosimetry in radiopharmaceutical therapy. Quantitative SPECT and PET Imagaing. Monte Carlo methods in medical imaging. Application of articial intelligence in medical imaging

    Recent Publications

    See All Publications
    • Journal Article
      Comparison of imaging-based bone marrow dosimetry methodologies and their dose–effect relationships in [177Lu]Lu-PSMA-617 RLT including a novel method with active marrow localization
      Peterson AB, Wilderman SJ, Blakkisrud J, Wong KK, Frey KA, Dewaraja YK. Ejnmmi Physics, 2026 Dec 1; 13 (1): DOI:10.1186/s40658-025-00816-6
    • Proceeding / Abstract / Poster
      Characterizing PSMA Saturation and Recovery in Lu-177-PSMA-617 Therapy Using Dynamic Ga-68-PSMA-11 PET/CT and Kinetic Modeling
      Lu (Ph.D.) Z, Dewaraja Y. 2026 Jun 1;
    • Proceeding / Abstract / Poster
      Deep Residual Learning Framework for Scatter Estimation in SPECT Imaging of Alpha Emitters: Application in 211At SPECT
      Hussain F, Dewaraja Y. Journal of Nuclear Medicine, 2026 Jun 1; 67 (supplemental 1): 261272 - 261272.
    • Journal Article
      Joint EANM, IAEA, and SNMMI practical guidance on somatostatin receptor-targeted radionuclide therapy of neuroendocrine tumours
      Bodei L, Gnanasegaran G, Giammarile F, Pavel M, Ambrosini V, Baum RP, Hörsch D, Howe JR, Cremonesi M, El-Haddad G, Dewaraja YK, Hope TA, Taieb D. The EANM Journal, 2026 Mar 13; 3: 100017 DOI:10.1016/j.eanmj.2026.100017
    • Journal Article
      Joint EANM, IAEA, and SNMMI practical guidance on somatostatin receptor-targeted radionuclide therapy of neuroendocrine tumours
      Bodei L, Gnanasegaran G, Pavel M, Ambrosini V, Baum RP, Hörsch D, Howe JR, Cremonesi M, El-Haddad G, Dewaraja YK, Hope HTA, Taieb D. The EANM Journal, 2026 Jun 23; 3: 1000017 - 1000017. DOI:10.1016/j.eanmj.2026.100017
    • Journal Article
      Joint EANM, IAEA, and SNMMI practical guidance on somatostatin receptor-targeted radionuclide therapy of neuroendocrine tumours
      Bodei L, Gnanasegaran G, Pavel M, Ambrosini V, Baum RP, Hörsch D, Howe JR, Cremonesi M, El-Haddad G, Dewaraja YK, Hope HTA, Taieb D. The EANM Journal, 2026 Jun 23; 3: 1000017 - 1000017. DOI:10.1016/j.eanmj.2026.100017
    • Proceeding / Abstract / Poster
      Machine Learning-Based Pretherapy Prediction of Tumour and Organ Absorbed Dose in 177Lu-PSMA Therapy Using 18F-PSMA PET/CT Radiomics and Biomarkers
      Nautiyal A, Dewaraja Y, Dickson J. Journal of Nuclear Medicine, 2026 Jun 1; 67 (supplement 1): 262138 - 262138.
    • Proceeding / Abstract / Poster
      Optimizing Quantitative Astatine-211 SPECT Imaging for Novel Targeted Alpha Therapy Applications
      Lu (Ph.D.) Z, Dewaraja Y. Journal of Nuclear Medicine, 2026 Jun 1; 67 (supplemental 1): 261360 - 261360.

    Featured News & Stories

    doctors pointing at screen
    Health Lab

    A dosimetry code ready for widespread use in software

    Patients receiving radiation treatment for cancer from around the country now benefit from a University of Michigan-developed code that research clinicians developed.