Lin Tian

Research Fellow
Harvard Medial School, Massachusetts General Hospital
Email: lintian@cs.unc.edu
[GoogleScholar] [LinkedIn] [GitHub] [CV]

My name is Lin Tian. I am a postdoctoral researcher at LEMoN, Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School & Massachusetts General Hospital, working with Dr. Juan Eugenio Iglesias. I obtained my PhD in Computer Science from UNC Chapel Hill under the supervision of Prof. Marc Niethammer. Before attending UNC, I earned my M.S. from the University of Southern California (USC) and my B.S. from Huazhong University of Science and Technology (HUST). During my PhD, I worked as a research scientist intern at ByteDance AI, Alibaba DAMO, and Alphabet X (formerly Google X).

My research interests broadly lie in computer vision (2D and 3D), medical imaging and machine learning, with a focus on 3D spatial alignment between images and modalities. I am particularly interested in the following topics:

Robust and generalizable deep learning for medical image registration via transformation regularization [CVPR'23,ECCV'24], similarity measure [MICCAI'23,arXiv], and foundation model [MICCAI'24].
Dynamic subject 3D reconstruction from 2D images or videos, such as 2D tomosynthesis images [MICCAI'20,MICCAI'22], ultrasound images, RGBD images, and ex vivo dissection photographs [arXiv].
Multi-modality joint representation learning for medical images.

News

[03/2025] » New preprint: "Reference-Free 3D Reconstruction of Brain Dissection Photographs with Machine Learning" [arXiv] [Code]
[02/2025] » CARL has been accepted by CVPR 2025.
[01/2025] » Serve as Area Chair for MICCAI 2025.
[07/2024] » multiGradICON has been accepted by WBIR 2024 for oral presentation.
[07/2024] » NePhi has been accepted by ECCV 2024.
[06/2024] » I will join Harvard Medical School & Massachusetts General Hospital as a Research Fellow.
[06/2024] » uniGradICON has been accepted by MICCAI 2024.
[06/2024] » I successfully defended my PhD.
[03/2024] » New preprint: "uniGradICON: A Foundation Model for Medical Image Registration" [arXiv] [Code]
[11/2023] » New preprint: "SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation" [arXiv] [Code]
[09/2023] » New preprint: "NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration" [arXiv]
[06/2023] » Two papers accepted at MICCAI 2023.
[05/2022] » Research Internship @ Google, working with Alexander Zoellner, Ningrui Li, and Atilla Kiraly.
[02/2023] » One paper accepted at CVPR 2023.
[06/2022] » Received MICCAI Student Travel Award.
[06/2022] » One paper accepted at MICCAI 2022.
[05/2022] » Research Internship @ Alibaba DAMO Academy, working with Dakai Jin and Ke Yan.
[05/2021] » Research Internship @ ByteDance AI Lab, working with Imran Saleemi and Chao Wang.
[02/2021] » One paper accepted at CVPR 2021.
[06/2020] » One paper accepted at MICCAI 2020.
[08/2019] » I joined UNC CS as a PhD student.

Publications

	Reference-Free 3D Reconstruction of Brain Dissection Photographs with Machine Learning Lin Tian, Sean I. Young, Jonathan Williams Ramirez, Dina Zemlyanker, Lucas Jacob Deden Binder, Rogeny Herisse, Theresa R. Connors, Derek H. Oakley, Bradley T. Hyman, Oula Puonti, Matthew S. Rosen, Juan Eugenio Iglesias arXiv [Code] [Paper]
	uniGradICON: A Foundation Model for Medical Image Registration Lin Tian, Hastings Greer, Roland Kwitt, Francois-Xavier Vialard, Raúl San José Estépar, Sylvain Bouix, Richard Rushmore, Marc Niethammer MICCAI 2024 [Code] [Paper]
	SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation Lin Tian, Zi Li, Fengze Liu, Xiaoyu Bai, Jia Ge, Le Lu, Marc Niethammer, Xianghua Ye, Ke Yan, Dakai Jin arXiv [Code] [Paper]
	NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration Lin Tian, Hastings Greer, Raúl San José Estépar, Roni Sengupta, Marc Niethammer ECCV 2024 [Paper]
	SAMConvex: Fast discrete optimization for ct registration using self-supervised anatomical embedding and correlation pyramid Zi Li, Lin Tian, Tony CW Mok, Xiaoyu Bai, Puyang Wang, Jia Ge, Jingren Zhou, Le Lu, Xianghua Ye, Ke Yan, Dakai Jin MICCAI 2023 [Code] [Paper]
	GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency Lin Tian, Hastings Greer, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Richard Jarrett Rushmore, Nikolaos Makris, Sylvain Bouix, Marc Niethammer. CVPR 2023 [Code] [Paper]
	LiftReg: Limited Angle 2D/3D Deformable Registration Lin Tian, Yueh Z. Lee, Raúl San José Estépar, Marc Niethammer. MICCAI 2022 [Code] [Paper]
	Discovering Hidden Physics Behind Transport Dynamics Peirong Liu, Lin Tian, Yubo Zhang, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer CVPR 2021 [Paper]
	Fluid Registration Between Lung CT and Stationary Chest Tomosynthesis Images Lin Tian, Connor Puett, Peirong Liu, Zhengyang Shen, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer. MICCAI 2020 [Code] [Paper] [Presentation]

Talks

[05/2024] CNS Lab, Stanford University
[04/2024] PICSL, University of Pennsylvania
[02/2024] LCN, Harvard Medical School & Massachusetts General Hospital
[02/2024] QTIM, Harvard Medical School & Massachusetts General Hospital

Services

Area Chair : MICCAI 2025
Conference Reviewer : CVPR, ICCV, ECCV, MICCAI, AAAI
Journal Reviewer: TPAMI, MedIA, TMI

Miscs

My Chinese name is 田琳.
I am also a game developer [AsGameDeveloper]