Lin Tian

Research Fellow, LEMoN Lab, Harvard Medical School & Massachusetts General Hospital

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Lin Tian (田琳) is an incoming Assistant Professor at Hong Kong Baptist University in August 2026. She is currently a Research Fellow at the Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School & Massachusetts General Hospital, working with Professor Juan Eugenio Iglesias and Professor Matthew Rosen. She obtained her PhD in Computer Science from UNC Chapel Hill under the supervision of Professor Marc Niethammer. Before attending UNC, she earned her M.S. from the University of Southern California (USC) and B.S. from Huazhong University of Science and Technology (HUST). Her research has been published in CVPR, ECCV, and MICCAI. She serves as an Area Chair for MICCAI 2025/2026 and is a recipient of the MICCAI Travel Award, the NSF Travel Award for CVPR Doctoral Consortium 2025, and the Rising Stars in EECS by MIT and BU. During her PhD, she worked as a research scientist intern at ByteDance AI, Alibaba DAMO, and Alphabet X (formerly Google X).

My research focuses on Spatial Intelligence for Healthcare, building precise, generalizable, and trustworthy AI systems that preceive, understand, and reason about 3D spatiotemporal changes in anatomy.

I am currently particularly interested in the following research directions:

  • Deformation inference from incomplete and heterogeneous observations
  • Simulation and digital twins for modeling and predicting anatomical changes
  • Spatial reasoning and decision-making based on spatiotemporal anatomical changes

Openings: I am looking for PhD/interns/visiting students in Fall 2026 and Spring 2027. Students with backgrounds in 3D computer vision, deep learning, medical image analysis, computer graphics, applied mathematics, or physics-based simulation are encouraged to apply. If you are interested, please email me with your CV, transcript, and a brief description of your research interests.

News


Mar 2026 I will join the Department of Computer Science, HKBU in Fall 2026.
Jan 2026 Serving as Area Chair for MICCAI 2026.
Sep 2025 Selected as one of the Rising Stars in EECS 2025, MIT and BU.
Sep 2025 New preprint: “Test-time Uncertainty Estimation for Medical Image Registration via Transformation Equivariance” [arXiv]
Mar 2025 New preprint: “Reference-Free 3D Reconstruction of Brain Dissection Photographs with Machine Learning” [arXiv] [Code]
Feb 2025 CARL has been accepted by CVPR 2025.
Jan 2025 Serving as Area Chair for MICCAI 2025.
Jul 2024 NePhi has been accepted by ECCV 2024.
Jul 2024 multiGradICON has been accepted by WBIR 2024 for oral presentation.
Jun 2024 Successfully defended my PhD!
Jun 2024 uniGradICON has been accepted by MICCAI 2024.
Jun 2024 Joined Harvard Medical School & Massachusetts General Hospital as a Research Fellow.
Mar 2024 New preprint: “uniGradICON: A Foundation Model for Medical Image Registration” [arXiv] [Code]
Nov 2023 New preprint: “SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation” [arXiv] [Code]
Sep 2023 New preprint: “NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration” [arXiv]
Jun 2023 Two papers accepted at MICCAI 2023.
Feb 2023 One paper accepted at CVPR 2023.
Jun 2022 One paper accepted at MICCAI 2022.
Jun 2022 Received MICCAI Student Travel Award.
May 2022 Research Internship at Alibaba DAMO Academy, working with Dakai Jin and Ke Yan.
May 2022 Research Internship at Alphabet X (Google X), working with Alexander Zoellner, Ningrui Li, and Atilla Kiraly.
May 2021 Research Internship at ByteDance AI Lab, working with Imran Saleemi and Chao Wang.
Feb 2021 One paper accepted at CVPR 2021.
Jun 2020 One paper accepted at MICCAI 2020.
Aug 2019 Joined UNC CS as a PhD student.

Selected Publications


  1. arXiv
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    Test-time Uncertainty Estimation for Medical Image Registration via Transformation Equivariance
    Lin Tian, Xiaoling Hu, and Juan Eugenio Iglesias
    arXiv preprint arXiv:2509.23355, 2026
  2. arXiv
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    Reference-Free 3D Reconstruction of Brain Dissection Photographs with Machine Learning
    Lin Tian, Sean I. Young, Jonathan Williams Ramirez, and 9 more authors
    arXiv preprint arXiv:2503.09963, 2025
  3. CVPR
    CARL: A Framework for Equivariant Image Registration
    Hastings Greer, Lin Tian, François-Xavier Vialard, and 3 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
  4. MICCAI
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    uniGradICON: A Foundation Model for Medical Image Registration
    Lin Tian, Hastings Greer, Roland Kwitt, and 5 more authors
    In Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, 2024
  5. ECCV
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    NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration
    Lin Tian, Hastings Greer, Raúl San José Estépar, and 2 more authors
    arXiv preprint arXiv:2309.07322, 2024
    ECCV 2024
  6. CVPR
    GradICON_teaser.png
    GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency
    Lin Tian, Hastings Greer, François-Xavier Vialard, and 6 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023