My name is Peirong Liu (刘沛榕), I am a postdoctoral researcher at 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 at UNC-Chapel Hill, where I was beyond fortunate to work with my incredible advisor Dr. Marc Niethammer on computer vision and medical imaging. During PhD, I also spent two summers as a research intern at Meta AI's computer vision team in New York City.
My research interest lies in AI for Healthcare, at an intersection of machine learning (ML), computer vision (CV), data science (DS), and medical image computing (MIC). I have been focusing on:
- ML/CV Theory & Algorithms: Physics-driven learning for time-varying dynamic systems
- Interdisciplinary MIC Research: Modality-agnostic foundation models for imperfect data
- Clinical Applications: Perfusion image analysis, stroke detection and diagnosis, low-field MRI
★★★ I am on the 2024-2025 academic job market. Please feel free to reach out! ★★★
News
09.09 ~ Named as a Rising Stars in Data Science @ UCSD & UChicago & Stanford
08.16 ~ Named as a Rising Stars in EECS @ MIT
07.12 ~ Received the NIH Award at MICCAI
07.01 ~ One paper accepted at ECCV 2024, “Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging'' [pdf][code]
06.20 ~ Start as a volunteer research mentor for Talaria Summer Institute
06.17 ~ One paper accepted at MICCAI 2024, “PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI'' [pdf][code]
06.01 ~ Serve as a reviewer for NeurIPS 2024
02.02 ~ One paper accepted as oral at ISBI 2024, “Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI'' [pdf][FreeSurfer Toolbox]
01.13 ~ Serve as a reviewer for ECCV 2024
202311.13 ~ Serve as a reviewer for ICLR 2024 and CVPR 2024
08.13 ~ I start as a postdoctoral researcher at Harvard Medical School and Massachusetts General Hospital
06.15 ~ I successfully defended my dissertation at UNC-Chapel Hill, I am officially a PhD now!
03.13 ~ Serve as a reviewer for NeurIPS 2023
02.13 ~ Serve as a reviewer for ICCV 2023 and MICCAI 2023
202211.13 ~ Serve as a reviewer for CVPR 2023
10.02 ~ Serve as a reviewer for ISBI 2023
05.13 ~ Joining as a Research Intern at Meta AI’s Computer Vision team for Summer 2022
03.02 ~ One paper accepted as oral at CVPR 2022, “Deep Decomposition for Stochastic Normal-Abnormal Transport'' [pdf]
02.26 ~ Serve as a reviewer for ECCV 2022
02.13 ~ Serve as a reviewer for MICCAI 2022
202111.13 ~ Serve as a reviewer for CVPR 2022
09.28 ~ One paper accepted at NeurIPS 2021, “Accurate Point Cloud Registration with Robust Optimal Transport'' [pdf]
07.13 ~ One paper accepted at ICCV 2021, “Local Temperature Scaling for Probability Calibration'' [pdf]
05.13 ~ One paper accepted at IEEE TMI, “Perfusion Imaging: An Advection Diffusion Approach'' [pdf]
04.13 ~ Serve as a reviewer for ICCV 2021
03.22 ~ Joining as a Research Intern at Facebook AI’s Computer Vision team for Summer 2021
03.13 ~ One paper accepted as oral at CVPR 2021, “Discovering Hidden Physics Behind Transport Dynamics'' [pdf]
202008.15 ~ Awarded the MICCAI Student Travel Award, Lima, Peru
06.13 ~ One paper accepted at MICCAI 2020, “Fluid Registration Between Lung CT and Stationary Chest Tomosynthesis Images'' [pdf]
05.13 ~ One paper early accepted as oral at MICCAI 2020, “PIANO: Perfusion Imaging via Advection-Diffusion'' [pdf]
201906.02 ~ Awarded the IPMI Scholarship, Hongkong, China
02.26 ~ One paper accepted as oral at IPMI 2019, “Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces'' [pdf]
201808.13 ~ Joined as a PhD student in the Dept. of Computer Science at UNC-Chapel Hill
06.13 ~ Graduated with B.S. in Mathematics from Shanghai University
01.13 ~ Nominated for Outstanding Graduate of Shanghai, China
201711.13 ~ Awarded the National Fellowship (top 1%) from Shanghai University
10.13 ~ Awarded the Top Grade Scholarship (top 3%), Outstanding Student, Academic Innovation Scholarship, and Leadership Scholarship from Shanghai University
09.13 ~ Awarded the Baogang Fellowship (top 4) from Shanghai University
05.13 ~ Awarded the President’s List (top 10) from Shanghai University
03.13 ~ Received the Finalist Winner (36/8843) in U.S. Mathematical Contest In Modeling (MCM)
201611.13 ~ Received the Third Prize in Shanghai Mathematics Competitions (Math Major)
09.13 ~ Awarded the Top Grade Scholarship (top 3%), Outstanding Student, Academic Innovation Scholarship, and Leadership Scholarship from Shanghai University
03.13 ~ Received the Second Prize in U.S. Mathematical Contest In Modeling (MCM)
201509.13 ~ Awarded the Top Grade Scholarship (top 3%), Outstanding Student, and Public Service Scholarship from Shanghai University
Selected Publications
Peirong Liu, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan E. Iglesias. “Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging”. European Conference on Computer Vision (ECCV), Milan, 2024. [code]
Peirong Liu, Oula Puonti, Annabel Sorby-Adams, William T. Kimberly, Juan E. Iglesias. “PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI”. Medical Image Computing and Computer Assisted Intervention (MICCAI), Marrakesh, 2024. [code]
Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer. “Deep Decomposition for Stochastic Normal-Abnormal Transport”. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, 2022. (Oral - 4%) [code]
Peirong Liu, Lin Tian, Yubo Zhang, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer. “Discovering Hidden Physics Behind Transport Dynamics”. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, 2021. (Oral - 3.7%) [code]
Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer. “Perfusion Imaging: An Advection Diffusion Approach”. IEEE Transactions on Medical Imaging (IEEE TMI), 2021. [code]
Honors and Awards
2024 ~ Rising Stars in Data Science @ UCSD & UChicago & Stanford
2024 ~ Rising Stars in EECS @ MIT
2024 ~ NIH Award @ MICCAI
2020 ~ Student Travel Award @ MICCAI
2019 ~ IPMI Scholarship @ IPMI
2018 ~ National Scholarship @ Ministry of Education of China
2018 ~ Outstanding Graduate @ Ministry of Education of China
2017 ~ Presidential Scholarship (Top 10) @ Shanghai University
2017 ~ Baogang Scholarship (Top 4) @ Shanghai University
2017 ~ Finalist Winner (Top 0.4%, 36/8843) @ Mathematical Contest In Modeling (MCM)
2017 ~ Top Grade Scholarship (Top 3%) @ Shanghai University
2016 ~ Top Grade Scholarship (Top 3%) @ Shanghai University
2015 ~ Top Grade Scholarship (Top 3%) @ Shanghai University
Professional Service
Conference Reviewer @ NeurIPS | ICLR | CVPR | ECCV | ICCV | AAAI | MICCAI | IPMI | ISBI | WiCV
Journal Reviewer @ IEEE TMI | Computer Graphics Forum | Frontier in Radiology | PLOS ONE
Volunteer Research Mentor @ Talaria