Education & Training

  • Research Fellow, Massachusetts General Hospital, Boston, MA, US (Nov 2022 - present)
  • Research Fellow, Department of Computer Science, University College London, London, UK (Sep 2020 - Oct 2022)
  • PhD in Biomedical Engineering, Zhejiang University, Hangzhou, China (Sep 2015 - Dec 2020)

    • Awards

  • NIH Pathway to Independence Award (K99/R00), NIBIB 2025
  • Summa Cum Laude Merit Award, ISMRM 2023, 2025
  • Strategic Research Fund, University College London, 2022
  • Magna Cum Laude Merit Award, ISMRM 2019
  • Outstanding Research Award, OCSMRM 2018

    • Talks

  • Lecture Series at Radiology Research Forum 2024, New York University
  • Boston Medical Image Analysis Workshop 2024, MIT
  • MIML 2022 – Microstructure Imaging Meets Machine Learning, UCL
  • Oral presentation at ISMRM 2018, 2022, 2023
  • Oral power pitch at ISMRM 2018, 2019, 2025

    • Professional activities

  • Language moderator, ISMRM 2025 – AI-powered segmentation
  • Project mentor, MedICSS 2022
  • Co-organizer, MIML workshop 2022 – Microstructure Imaging Meets Machine Learning
  • Co-organizer, ISMRM 2022 Member-initiated Symposium – Harnessing Histology for Microstructure Imaging

  • Reviewer for IEEE Transactions on Medical Imaging, PNAS, Imaging Neuroscience, MRM, MRI, NMR in Biomedicine

    • Publications

    Jounal acticles

    (* Authors with equal contribution)

  • Wongkornchaovalit P, Shao B, Li L, Chen Y, He H, Zhong J, Gong T. Multi-TE Diffusion MRI Dataset for Exploring Combined Diffusion-Relaxometry Methods in Microstructure Imaging. Scientific Data. 2025 Jul 10;12(1):1191. [Link] [Data]
  • Gong T, Maffei C, Dann E, Lee HH, Lee H, Augustinack JC, Huang SY, Haber SN, Yendiki A. Interplay between MRI-based axon diameter and myelination estimates in macaque and human brain. Imaging Neuroscience. 2025 May 12;3:imag_a_00576. [Link] [Code]
  • Gong T, Tong Q, Li Z, He H, Zhang H, Zhong J. Deep learning‐based method for reducing residual motion effects in diffusion parameter estimation. Magnetic Resonance in Medicine. 2021 Apr;85(4):2278-93. [Link] [Code]
  • Gong T, Tong Q, He H, Sun Y, Zhong J, Zhang H. MTE-NODDI: Multi-TE NODDI for disentangling non-T2-weighted signal fractions from compartment-specific T2 relaxation times. Neuroimage. 2020 Aug 15;217:116906. [Link] [Code]
  • Lin Z*, Gong T*, Wang K, Li Z, He H, Tong Q, Yu F, Zhong J. Fast learning of fiber orientation distribution function for MR tractography using convolutional neural network. Medical physics. 2019 Jul;46(7):3101-16. [Link]
  • Tong Q*, Gong T*, He H, Wang Z, Yu W, Zhang J, Zhai L, Cui H, Meng X, Tax CW, Zhong J. A deep learning–based method for improving reliability of multicenter diffusion kurtosis imaging with varied acquisition protocols. Magnetic Resonance Imaging. 2020 Nov 1;73:31-44. [Link]
  • Li Z*, Gong T*, Lin Z, He H, Tong Q, Li C, Sun Y, Yu F, Zhong J. Fast and robust diffusion kurtosis parametric mapping using a three-dimensional convolutional neural network. IEEE Access. 2019 May 27;7:71398-411. [Link]
  • Karamched SR, Gorup D, Tolomeo D, Brooks LJ, Gong T, Jørgensen AC, Hill CS, Clements M, Kalber TL, Wells JA, Stuckey DJ. Detecting glioblastoma infiltration beyond conventional imaging tumour margins using MTE-NODDI. Imaging Neuroscience. 2025 Feb 18;3:imag_a_00472. [Link]
  • Liao C, Cao X, Iyer SS, Schauman S, Zhou Z, Yan X, Chen Q, Li Z, Wang N, Gong T, Wu Z. High‐resolution myelin‐water fraction and quantitative relaxation mapping using 3D ViSTa‐MR fingerprinting. Magnetic resonance in medicine. 2024 Jun;91(6):2278-93. [Link]
  • Cao X, Liao C, Iyer SS, Wang Z, Zhou Z, Dai E, Liberman G, Dong Z, Gong T, He H, Zhong J. Optimized multi‐axis spiral projection MR fingerprinting with subspace reconstruction for rapid whole‐brain high‐isotropic‐resolution quantitative imaging. Magnetic Resonance in Medicine. 2022 Jul;88(1):133-50. [Link]
  • Tong Q, He H, Gong T, Li C, Liang P, Qian T, Sun Y, Ding Q, Li K, Zhong J. Multicenter dataset of multi-shell diffusion MRI in healthy traveling adults with identical settings. Scientific Data. 2020 May 27;7(1):157. [Link]
  • Tong Q, He H, Gong T, Li C, Liang P, Qian T, Sun Y, Ding Q, Li K, Zhong J. Reproducibility of multi-shell diffusion tractography on traveling subjects: a multicenter study prospective. Magnetic resonance imaging. 2019 Jun 1;59:1-9. [Link]
  • Tan X, Gao J, Zhou Z, Wei R, Gong T, Wu Y, Liu K, He F, Wang J, Li J, Zhang X. Spontaneous recovery from unresponsive wakefulness syndrome to a minimally conscious state: early structural changes revealed by 7-T magnetic resonance imaging. Frontiers in Neurology. 2018 Jan 17;8:741. [Link]

    • Pre-prints

  • Gong T, Yendiki A. Microstructure. jl: a Julia Package for Probabilistic Microstructure Model Fitting with Diffusion MRI. arXiv preprint arXiv:2407.06379. 2024 Jul 8. [Link] [Code]
  • Gong T, Fair MJ, Setsompop K, Zhang H. Compartment-specific estimation of T2 and T2* with diffusion-PEPTIDE MRI. arXiv preprint arXiv:2408.10432. 2024 Aug 19. [Link]
  • Jun Y, Liu Q, Gong T, Cho J, Fujita S, Yong X, Huang SY, Ning L, Yendiki A, Rathi Y, Bilgic B. PRIME: Phase Reversed Interleaved Multi-Echo acquisition enables highly accelerated distortion-free diffusion MRI. arXiv preprint arXiv:2409.07375. 2024 Sep 11. [Link]
  • Gong T, Grussu F, Wheeler-Kingshott CA, Alexander DC, Zhang H. Machine-learning-informed parameter estimation improves the reliability of spinal cord diffusion MRI. arXiv preprint arXiv:2301.12294. 2023 Jan 28. [Link]