Tianyu Lin

Tianyu Lin

Research Assistant

Massachusetts General Hospital

Research Interests

Agentic AI
Medical Image Analysis
Computer Vision

About

I am currently a research assistant at Massachusetts General Hospital, working with Prof. Xiang Li. Previously, I was a research intern at UII America, Inc., working with Dr. Shanhui Sun. During my M.S. study, I was part of CCVL in Johns Hopkins University, where I was fortunate to work with Bloomberg Distinguished Prof. Alan L. Yuille and Prof. Zongwei Zhou.

I earned my Master’s degree in Biomedical Engineering at Johns Hopkins University in 2025, and my Bachelor’s degree in Biomedical Engineering at Sun Yat-sen University in 2024.

I am all into building reliable medical vision intelligence systems. If you are interested in working with me, please feel free to email me :)

Selected Publications

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Are Pixel-Wise Metrics Reliable for Computerized Tomography Reconstruction?

Are Pixel-Wise Metrics Reliable for Computerized Tomography Reconstruction?

Tianyu Lin, Xinran Li, Chuntung Zhuang, Qi Chen, Yuanhao Cai, Kai Ding, Alan Yuille, Zongwei Zhou

The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025), RSNA 2025 Oral

It's time to evaluate anatomical completeness in CT reconstruction!

PaperCodearXiv
PanTS: The Pancreatic Tumor Segmentation Dataset

PanTS: The Pancreatic Tumor Segmentation Dataset

Wenxuan Li, Xinze Zhou, Qi Chen, Tianyu Lin, Pedro R. A. S. Bassi, Xiaoxi Chen, Chen Ye, Zheren Zhu, Kai Ding, Heng Li, Kang Wang, Yang Yang, Yucheng Tang, Daguang Xu, Alan Yuille, Zongwei Zhou

The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025) Datasets and Benchmarks Track

ProjectPaperCodearXiv
EyePose: Pose-guided Saccadic Eye Movement Video Generation for Deep Learning-Based Neurologic Disease Phenotyping

EyePose: Pose-guided Saccadic Eye Movement Video Generation for Deep Learning-Based Neurologic Disease Phenotyping

Tianyu Lin, Jooyoung Ryu, Puvada Sreevar, Rahul Srinivasaraga, Riya Satavlekar, Susan Kim, Nidhi Soley, Yujie Yan, Ishan Vatsaraj, Carl Harris, Aimon Rahman, Vishal Patel, Joseph Greenstein, Casey Taylor, Kemar Green

Under review at npj Digital Medicine

Building a saccade screening tool without any private patient data

ProjectPaper
Learning Segmentation from Radiology Reports

Learning Segmentation from Radiology Reports

Pedro R. A. S. Bassi, Wenxuan Li, Jieneng Chen, Zheren Zhu, Tianyu Lin, Sergio Decherchi, Andrea Cavalli, Kang Wang, Yang Yang, Alan L. Yuille, Zongwei Zhou

Medical Image Computing and Computer Assisted Intervention (MICCAI 2025)

🏆 Best Paper Award Runner-up (top 2 in 1,027 papers)

PaperCodearXiv
Stable diffusion segmentation for biomedical images with single-step reverse process

Stable diffusion segmentation for biomedical images with single-step reverse process

Tianyu Lin, Zhiguang Chen, Zhonghao Yan, Weijiang Yu, Fudan Zheng

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2024)

A single-step latent space diffusion segmentation model

ProjectPaperCodearXiv

News

2025-09

Two papers have been accepted by NeurIPS 2025! Three abstracts have been selected as RSNA 2025 Oral!

2025-06

Two papers have been accepted by MICCAI 2025!

2025-01

Two papers have been accepted by ISBI 2025. One paper has been accepted by ESWA.

2024-06

One paper has been accepted by MICCAI 2024!