Harvard Catalyst Profiles

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Zezhong Ye, Ph.D.

Title
Institution
Department
Address
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Biography
Xiamen University, Xiamen, ChinaB.S.07/2012Chemistry
Washington University, St. Louis, MOM.A.08/2015Physical Chemistry
Washington University, St. Louis, MOPh.D.06/2019Physical Chemistry
Washington University School of Medicine, St. Louis, MOPostdoc02/2021Radiology
Harvard Medical School, BostonPostdocRadiation Oncology
2020
ISMRM Summa Cum Laude Merit Award
2019
ANA Annual Meeting Poster Award
2019
ISMRM Summa Cum Laude Merit Award
2018
JMRI Distinguished Reviewer Award
2018
RSNA Travel Award for Young Investigators
2018
ISMRM-ESMRMB Magna Cum Laude Merit Award
2017
ISMRM Magna Cum Laude Merit Award
2015
Siteman Cancer Center Oncologic Imaging Program Poster Award

Overview
I am a postdoctoral research fellow in radiation oncology and artificial intelligence (AI) in medicine. My current research is focused on developing, validating and applying novel AI algorithms to address a wide range of clinical challenges in the area of radiation oncology. I am interested in combing state-of-the-art AI techniques (e.g. deep learning (DL), radiomics) and cancer imaging (e.g. CT, MRI) to develop clinical decision-making tools that advance personalized cancer care and can be effectively translated into the clinic. I am particularly interested in building fully-automated imaging-based scan-to-prediction platform to better predict cancer patient outcomes that could facilitate and optimize clinical trials as well guide treatment personalization strategies. My current working projects include DL outcome prediction studies on head and neck cancer (HNC) as well as pediatric low-grade glioma. Previously, I have worked on developing advanced diffusion MRI methods along with machine learning algorithms to noninvasively detect and characterize multiple types of cancers, including glioblastoma (GBM), high-grade pediatric brain tumor as well as prostate cancer.

Bibliographic
Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Yang R, Lin TH, Zhan J, Lai S, Song C, Sun P, Ye Z, Wallendorf M, George A, Cross AH, Song SK. Diffusion basis spectrum imaging measures anti-inflammatory and neuroprotective effects of fingolimod on murine optic neuritis. Neuroimage Clin. 2021; 31:102732. PMID: 34166868.
    Citations:    Fields:    Translation:Animals
  2. Ye Z. Editorial for "A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology-Radiology Fusion". J Magn Reson Imaging. 2021 08; 54(2):472-473. PMID: 33813780.
    Citations:    Fields:    Translation:Humans
  3. Ye Z, Yang Q, Lin J, Sun P, Zhu Y, Wu AT, Song C, Chen L, Yu Y, Wang M, Chen Y, Wang Z, Kim EH, Ippolito J, Lu J, Song SK. Deep neural network employing diffusion basis spectrum imaging metrics as classifiers improves noninvasive prostate cancer detection and grading. bioRxiv. 2021; 436514. View Publication.
  4. Ye Z, Srinivasa K, Meyer A, Sun P, Lin J, Viox JD, Song C, Wu AT, Song SK, Dahiya S, Rubin JB. Diffusion histology imaging differentiates distinct pediatric brain tumor histology. Sci Rep. 2021 02 26; 11(1):4749. PMID: 33637807.
    Citations:    Fields:    Translation:Humans
  5. Ye Z, Gary SE, Sun P, Mustafi SM, Glenn GR, Yeh FC, Merisaari H, Song C, Yang R, Huang GS, Kao HW, Lin CY, Wu YC, Jensen JH, Song SK. The impact of edema and fiber crossing on diffusion MRI metrics assessed in an ex vivo nerve phantom: Multi-tensor model vs. diffusion orientation distribution function. NMR Biomed. 2021 01; 34(1):e4414. PMID: 33015890.
    Citations: 3     Fields:    Translation:HumansAnimalsCells
  6. Ye Z, Price RL, Liu X, Lin J, Yang Q, Sun P, Wu AT, Wang L, Han RH, Song C, Yang R, Gary SE, Mao DD, Wallendorf M, Campian JL, Li JS, Dahiya S, Kim AH, Song SK. Diffusion Histology Imaging Combining Diffusion Basis Spectrum Imaging (DBSI) and Machine Learning Improves Detection and Classification of Glioblastoma Pathology. Clin Cancer Res. 2020 10 15; 26(20):5388-5399. PMID: 32694155.
    Citations: 4     Fields:    Translation:Humans
  7. Ye Z, George A, Wu AT, Niu X, Lin J, Adusumilli G, Naismith RT, Cross AH, Sun P, Song SK. Deep learning with diffusion basis spectrum imaging for classification of multiple sclerosis lesions. Ann Clin Transl Neurol. 2020 05; 7(5):695-706. PMID: 32304291.
    Citations: 7     Fields:    Translation:Humans
  8. Ye Z. Editorial for "Histogram Analysis Comparison of Monoexponential, Advanced Diffusion- Weighted Imaging, and Dynamic Contrast-Enhanced MRI for Differentiating Borderline From Malignant Epithelial Ovarian Tumors". J Magn Reson Imaging. 2020 07; 52(1):269-270. PMID: 32134534.
    Citations: 1     Fields:    Translation:Humans
  9. Cross AH, Sun P, George A, Perantie DC, Trinkaus K, Ye Z, Naismith RT, Song SK. Diffusion Basis Spectrum Imaging Provides Insights into Multiple Sclerosis. Multiple Sclerosis Journal. 2020; 26(9):56.
  10. Ye Z, Gary SE, Viox JD, Lin J, Sun P, Rubin JB, Dahiya S, and Song SK. Diffusion Histology Imaging Detects and Differentiates Various Tumor Histology in High-Grade Brain Tumors. Proceedings of International Society for Magnetic Resonance in Medicine. 2020; 28(1):6474.
  11. Ye Z, George A, Wu AT, Niu X, Lin J, Adusumili G, Naismith R, Cross AH, Sun P, and Song SK. Diffusion Histology Imaging Classifies Lesions in Multiple Sclerosis. Proceedings of International Society for Magnetic Resonance in Medicine. 2020; 28(1):5354.
  12. Sun P, George A, Perantie DC, Trinkaus K, Ye Z, Naismith RT, Song SK, Cross AH. Diffusion basis spectrum imaging provides insights into MS pathology. Neurol Neuroimmunol Neuroinflamm. 2020 03; 7(2). PMID: 31871296.
    Citations: 5     Fields:    Translation:Humans
  13. Ye Z, Zhao N, Lin J, Gary SE, Viox J, Yang R, Sun P, Yang Q, Lu J, Song SK. . Quantification of Benign and Malignant Breast Tumor Cellularity. Proceedings of International Society for Magnetic Resonance in Medicine. 2019; 27(1):277. View Publication.
  14. Zhan J, Lin TH, Libbey J, Sun P, Ye Z, Song C, Wallendorf M, Gong H, Fujinami R, Song SK. Diffusion MRI Quantifies Hippocampal CA1 Dendritic Loss and Inflammation in TMEV-Induced Epilepsy. Proceedings of International Society for Magnetic Resonance in Medicine. 2019; 25(1):4075.
  15. Ye Z, Niu X, George A, Cross AH, Song SK, and Sun P. Diffusion Histology Imaging to Improves Multiple Sclerosis Lesion Detection and Classification. Ann Neurol. 2019; 86(S24):S1-S285.
  16. Ye Z, Lin J, Viox J, Gary S, Kim AH, Song SK, Rubin JB, Dahiya S. Diffusion Basis Spectrum Imaging (DBSI) To Assess Various Histologic Components in High-Grade Brain Tumors. J Neuropathol Exp Neurol. 2019; 78(6):552-553.
  17. Ye Z, Yang Q, Lin J, Sun P, Song C, George A, Viox J, Ippolito J, Lu J, and Song SK. Noninvasive Prostate Cancer Grading Using Diffusion MR Structural Fingerprints. Proceedings of International Society for Magnetic Resonance in Medicine. 2019; 27(1):375. View Publication.
  18. Ye Z, Viox J, Lin J, Gary SE, Yang R, Rubin JB, Dahiya S, and Song SK. Isotropic Restricted Diffusion Correlates with Tumor Cellularity in Pediatric and Adult Malignant Brain Tumors. Proceedings of International Society for Magnetic Resonance in Medicine. 2019; 27(1):2869. View Publication.
  19. Ye Z, Lin J, Gary SE, Viox J, Yang R, Price RL, Dahiya S, Kim AH, Song SK. Noninvasive Assessment of Tumor Histopathology in Glioblastoma Specimen and Patient. Proceedings of International Society for Magnetic Resonance in Medicine. 2019; 27(1):855. View Publication.
  20. Ye Z, Zhao N, Lin J, Gary SE, Viox J, Yang R, Sun P, Yang Q, Lu J, Song SK. Quantification of Benign and Malignant Breast Tumor Cellularity. Proceedings of International Society for Magnetic Resonance in Medicine. 2019; 27(1):277. View Publication.
  21. Song C, Sun P, Cross AH, Ye Z, Song SK. Measuring white matter damage in different types of MS. Proceedings of International Society for Magnetic Resonance in Medicine. 2019; 27(1):3420.
  22. Song C, Sun P, Ye Z, and Song SK. Resolving crossing fibers with the inclusion of intra-axonal diffusion modeling. Proceedings of International Society for Magnetic Resonance in Medicine. 2019; 27(1):3579.
  23. Zhan J, Lin TH, Libbey JE, Sun P, Ye Z, Song C, Wallendorf M, Gong H, Fujinami RS, Song SK. Diffusion Basis Spectrum and Diffusion Tensor Imaging Detect Hippocampal Inflammation and Dendritic Injury in a Virus-Induced Mouse Model of Epilepsy. Front Neurosci. 2018; 12:77. PMID: 29497358.
    Citations: 4     
  24. Ye Z, Lin J, Wallendorf M, Price RL, Dahiya S, Kim AH, Song SK. Grading Brain Tumor Using ADC as a Marker of Cellularity: Fact or Fiction?. Proceedings of International Society for Magnetic Resonance in Medicine. 2018; 26(1):962. View Publication.
  25. Ye Z, Zhao N, Lin J, Yang Q, Sun P, Lu J, Song SK. Characterize Tumor Cellularity in Breast Cancer with Diffusion MRI. Proceedings of International Society for Magnetic Resonance in Medicine. 2018; 2016(1):4442. View Publication.
  26. Ye Z, Yang Q, Lin J, Sun P, J Ippolito, J Lu, SK Song. Diffusion MRI Detects and Differentiates Inflammation from Cancer Cells in Prostate Cancer Patients. Proceedings of International Society for Magnetic Resonance in Medicine. 2018; 26(1):722. View Publication.
  27. Diffusion Basis Spectrum Imaging Detects Microstructural Heterogeneity in Human Glioma. 2018 Annual Meeting of Congress of Neurological Surgeons. 2018; 917. View Publication.
  28. Ye Z, Liu X, Lin J, Sun P, Wang L, Price RL, Dahiya S, Kim AH, Li JS, Song SK. Classification of Dense Tumor, Tumor Necrosis and Tumor Infiltration in Glioma: Machine Learning and Diffusion MRI. Proceedings of International Society for Magnetic Resonance in Medicine. 2018; 26(1):893. View Publication.
  29. Ye Z, Gary SE, and Song SK. The Impact of Edema and Crossing Fibers on Diffusion MRI: ODF vs. DBSI. The Impact of Edema and Crossing Fibers on Diffusion MRI: ODF vs. DBSI. Proceedings of International Society for Magnetic Resonance in Medicine. 2017; 25(1):1745. View Publication.
  30. Ye Z, Price RL, Kim AH, Song SK. . Quantitatively Differentiating Multiple Co-Existing Pathologies in High-Grade Glioma. Proceedings of International Society for Magnetic Resonance in Medicine. 2017; 25(1):624. View Publication.
  31. Yang Q, Ye Z, Lu J, Song SK. Multiparametric MRI-Defined Prostate Cancer Includes Heterogeneous Pathologies. Proceedings of International Society for Magnetic Resonance in Medicine. 2017; 25(1):3412.
  32. Zhan J, Sun P, George A, Wallendorf M, Ye Z, Lin TH, Viox J, Gong H, Song SK. Diffusion Basis Spectrum Imaging Detects Axonal Loss and Demyelination in Chronic Traumatic Brain Injury. J Neurotrauma. 2017; 34(13):136.
  33. Ye Z, Yang Q, Lin J, Lu J, Song SK. Quantitatively Differentiating Prostate Cancer, Prostatitis and Benign Prostatic Hyperplasia by Diffusion MRI Histology. Proceedings of International Society for Magnetic Resonance in Medicine. 2017; 25(1):4796. View Publication.
  34. Liu DY, Ding SY, Lin HX, Liu BJ, Ye Z, Fan FR, Ren B, Tian ZQ. Distinctive enhanced and tunable plasmon resonant absorption from controllable Au@Cu2O nanoparticles: experimental and theoretical modeling. J Phys Chem C. 2012; 116(7):4477-4483. View Publication.
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.