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Junyu Guo, Ph.D.

Junyu Guo, Ph.D.

Titles and Appointments

Assistant Professor

School
Medical School
Department
Radiology
Graduate Programs
Biomedical Engineering
  • Biography

    Junyu "Richard" Guo, Ph.D., is an Assistant Professor of Radiology at UT Southwestern Medical Center, and a member of its Abdominal Imaging Division with a focus on its research mission.

    Dr. Guo received a bachelor's degree in physics from Beijing Jiaotong University, and a master's degree in physics from Tsinghua University, both in Beijing, China. He then obtained a doctoral degree in physics from the University of Utah in Salt Lake City, before embarking on a postdoctoral fellowship at the University of Pennsylvania School of Medicine in Philadelphia.

    Prior to joining the UT Southwestern faculty in 2019, Dr. Guo served as a research scientist at St. Jude Children's Research Hospital in Memphis, Tennessee.

    Dr. Guo holds patents for developing a method and system for parallel reconstruction in the K-space domain for application in imaging systems, and for T2 spectral analysis for Myelin Water Imaging. His research interests include Deep Learning in magnetic resonance imaging, magnetic resonance spectroscopic imaging (MRSI), magnetic resonance imaging reconstruction, and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI).

    In addition to contributing a chapter to a textbook on computed tomography and magnetic resonance of the whole body, he has also published 24 original research articles, created more than 50 abstracts, and has been invited to present his research findings at meetings and conferences throughout the United States and around the world.

  • Education
    Undergraduate
    Jiaotong University (1997), Physics
    Graduate School
    Tsinghua University (2000), Physics
    Graduate School
    University of UTAH (2006), Physics
  • Research Interest
    • Deep Learning Application in Magnetic Resonance Imaging
    • Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE- MRI)
    • Magnetic Resonance Imaging Reconstruction
    • Magnetic Resonance Spectroscopic Imaging (MRSI)
  • Publications
    Clinical application of radiomics for the prediction of treatment outcome and survival in patients with renal cell carcinoma: a systematic review
    Khene ZE, Tachibana I, Bertail T, Fleury R, Bhanvadia R, Kapur P, Rajaram S, Guo J, Christie A, Pedrosa I, Lotan Y, Margulis V World journal of urology 2024 Dec 42
    Style Transfer–assisted Deep Learning Method for Kidney Segmentation at Multiphase MRI
    Guo J, Goyal M, Xi Y, Hinojosa L, Haddad G, Albayrak E, Pedrosa I Radiology: Artificial Intelligence 2023 Nov 5
    Deep learning kidney segmentation with very limited training data using a cascaded convolution neural network
    Guo J, Odu A, Pedrosa I PloS one 2022 May 17
    Deep Learning-based Deformable Registration of Dynamic Contrast-Enhanced MR Images of the Kidney
    Huang J, Guo J, Pedrosa I, Fei B 2022
    Automated kidney segmentation by mask R-CNN in T2-weighted magnetic resonance imaging
    Goyal M, Guo J, Hinojosa L, Hulsey K, Pedrosa I 2022
    Deciphering intratumoral molecular heterogeneity in clear cell renal cell carcinoma with a radiogenomics platform
    Udayakumar D, Zhang Z, Xi Y, Dwivedi DK, Fulkerson M, Haldeman S, McKenzie T, Yousuf Q, Joyce A, Hajibeigi A, Notgrass H, De Leon AD, Yuan Q, Lewis MA, Madhuranthakam AJ, Sibley RC, Elias R, Guo J, Christie A, McKay RM, Cadeddu JA, Bagrodia A, Margulis V, Brugarolas J, Wang T, Kapur P, Pedrosa I Clinical Cancer Research 2021 Sep 27 4794-4806
    Multi-site, multi-platform comparison of MRI T1 measurement using the system phantom
    Keenan KE, Gimbutas Z, Dienstfrey A, Stupic KF, Boss MA, Russek SE, Chenevert TL, Prasad PV, Guo J, Reddick WE, Cecil KM, Shukla-Dave A, Nunez DA, Konar AS, Liu MZ, Jambawalikar SR, Schwartz LH, Zheng J, Hu P, Jackson EF PloS one 2021 Jun 16
    Reduced brain microstructural asymmetry in patients with childhood leukemia treated with chemotherapy compared with healthy controls
    Guo J, Han Y, Li Y, Reddick WE PloS one 2019 May 14
    18 F-FDG uptake during early adjuvant chemotherapy predicts histologic response in pediatric and young adult patients with osteosarcoma
    Davis JC, Daw NC, Navid F, Billups CA, Wu J, Bahrami A, Jenkins JJ, Snyder SE, Reddick WE, Santana VM, Beth McCarville M, Guo J, Shulkin BL Journal of Nuclear Medicine 2018 Jan 59 25-30
    Fast frequency-sweep spectroscopic imaging with an ultra-low flip angle
    Guo J, Patay Z, Reddick WE Scientific reports 2016 Jul 6
  • Professional Associations/Affiliations
    • Institute of Electrical and Electronics Engineers
    • International Society for Magnetic Resonance in Medicine
    • Radiological Society of North America