Hi! I am Tianyu Lin.👋 I am currently a research intern at UII America, Inc., working with Dr. Shanhui Sun, and a research assistant at Massachusetts General Hospital, Harvard Medical School, under the supervision of Professor Xiang Li. Previously, I was a research assistant in the Computational Cognition, Vision, and Learning (CCVL) at Johns Hopkins University, where I was fortunate to work with Bloomberg Distinguished Professor Alan L. Yuille and Dr. Zongwei Zhou.

I earned my Master’s degree in Biomedical Engineering from the Department of Biomedical Engineering at Johns Hopkins University in May 2025, and my Bachelor’s degree from the School of Biomedical Engineering at Sun Yat-sen University in June 2024.

My research interest mainly includes medical image analysis and computer vision. I am all into building reliable medical vision intelligence systems. I am also interested in foundational vision models, diffusion models, vision language models, etc. If you are interested in working with me, please feel free to email me at tianyulin67@gmail.com :)

News

• 2025.06: Two papers have been accepted bt MICCAI 2025, arxivs coming soon!
• 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 (1st author)!

Publications & Preprints

^†Corresponding author, * Equal contribution

MICCAI 2025

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^†

PanTS: The Pancreatic Tumor Segmentation Dataset

Wenxuan Li*, Xinze Zhou*, Qi Chen*, Tianyu Lin, Pedro R. A. S. Bassi, Szymon Plotka, Jaroslaw B. Cwikla, Xiaoxi Chen, Chen Ye, Zheren Zhu, Kai Ding, Heng Li, Kang Wang, Yang Yang, Yucheng Tang, Daguang Xu, Alan L. Yuille, Zongwei Zhou^†

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

Tianyu Lin, Jooyoung Ryu, Puvada Sreevarsha, Rahul Srinivasaragavan, Riya Satavlekar, Susan Kim, Nidhi Soley, Yujie Yan, Ishan Vatsaraj, Carl Harris, Aimon Rahman, Vishal Patel, Joseph Greenstein, Casey Taylor, Kemar E. Green^†

Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction?

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

Evaluating Large Language Models in Crisis Detection: A Real-World Benchmark from Psychological Support Hotlines

Guifeng Deng, Shuyin Rao, Tianyu Lin, Anlu Dai, Pan Wang, Junyi Xie, Haidong Song, Ke Zhao, Dongwu Xu, Zhengdong Cheng, Tao Li, Haiteng Jiang^†

Text-driven Tumor Synthesis

Xinran Li, Yi Shuai, Chen Liu, Qi Chen, Tianyu Lin, Pengfei Guo, Dong Yang, Can Zhao, Qilong Wu, Pedro R. A. S. Bassi, Daguang Xu, Kang Wang, Yang Yang, Alan Yuille, Zongwei Zhou^†

ScaleMAI: Accelerating the Development of Trusted Datasets and AI Models

Wenxuan Li, Pedro R. A. S. Bassi, Tianyu Lin, Yu-Cheng Chou, Xinze Zhou, Fabian Isensee, Kang Wang, Qi Chen, Xiaoxi Chen, Yannick Kirchhoff, Maximilian Rouven Rokuss, Saikat Roy, Constantin Ulrich, Klaus Maier-Hein, Yucheng Tang, Kai Ding, Yang Yang, Alan Yuille, Zongwei Zhou^†

---

ESWA

A priority-guided contrastive network for delineating vascular layers in arterial ultrasound

Minhua Lu*, Tianyu Lin*, Weiyuan Lin^†, Zhaohui Li, Zhifan Gao

ISBI 2025

EMSSD: Two-Stage Model Enhancing Medical Image Segmentation Based on Stable Diffusion

Ruiyue Chen, Xin Zhang^†, Tianyu Lin, Sijin Yu

ISBI 2025

PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation

Zhonghao Yan, Zijin Yin, Tianyu Lin, Xiangzhu Zeng, Kongming Liang^†, Zhanyu Ma

MICCAI 2024

Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse process

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

• Sensors An Attention-Based Co-Segmentation Semi-Supervised Method for Nasopharyngeal Carcinoma Segmentation. Chen Y^†, Han G^†, Lin T et al.

Educations

• 2024.09-2025.05, Master of Science in Engineering, Biomedical Engineering, Johns Hopkins University.
• 2020.09-2024.06, Bachelor of Engineering, Biomedical Engineering, Sun Yat-sen University.

Internships

• 2025.07-Now, UII America Inc., , Boston, USA.
• 2025.07-Now, Harvard Medical School and Massachusetts General Hospital, , Boston, USA.
• 2024.09-2025.07, Computational Cognition, Vision, and Learning Research Group, , Baltimore, USA.
• 2023.07-2023.09, Medical Imaging Center, , Shenzhen, China.
• 2022.07-2024.06, National Supercomputer Center in Guangzhou, , Guangzhou, China.
• 2021.01-2024.06, Health Informatics Computing Laboratory, , Shenzhen, China.

Honors and Awards

• 2024.06, Outstanding Undergraduate Thesis Award, School of Biomedical Engineering, Sun Yat-sen University.
• 2023.11, Third-class scholarship for outstanding students, Sun Yat-sen University.
• 2022.12, Second-class scholarship for outstanding students, Sun Yat-sen University.
• 2022.12, 3rd Prize, The Mathematical Modeling Competition of Guangdong-Hong Kong-Marco Greater Bay Area.
• 2022.08, 3rd Prize, National Biomedical Engineering Innovation Design Competition for College Students.
• 2021.11, Second-class scholarship for outstanding students, Sun Yat-sen University.