Peirong Liu

Harvard University — United States

Medicine · Health Sciences

3h-index48citations15works2.72yr avg
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Research Topics

Advanced MRI Techniques and Applications(5), Functional Brain Connectivity Studies(3), Advanced Neuroimaging Techniques and Applications(3), EEG and Brain-Computer Interfaces(2), Medical Imaging Techniques and Applications(2)

Publications15 total

USB: Unified Synthetic Brain Framework for Bidirectional Pathology-Healthy Generation and Editing
arXiv (Cornell University)·2025Open Access
Conditional Diffusion Models for Guided Anomaly Detection in Brain MRI Using Fluid-Driven Anomaly Randomization
Lecture notes in computer science·2025
A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning
arXiv (Cornell University)·2025Open Access
Conditional diffusion models for guided anomaly detection in brain images using fluid-driven anomaly randomization
arXiv (Cornell University)·2025Open Access
Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization
2025· 3 cited
Learning to Upscale 3D Segmentations in Neuroimaging
ArXiv.org·2025Open Access
Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization
arXiv (Cornell University)·2025Open Access
The normalizing properties of intracranial volume across race and sex
Brain Communications·2025Open Access
Brain-ID: Learning Contrast-Agnostic Anatomical Representations for Brain Imaging
Lecture notes in computer science·2024· 5 cited
Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging
arXiv (Cornell University)·2024Open Access
Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI
2024· 24 citedOpen Access
PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI
arXiv (Cornell University)·2024Open Access
PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI
Lecture notes in computer science·2024· 3 cited
Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI
arXiv (Cornell University)·2023· 12 citedOpen Access
Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
arXiv (Cornell University)·2023· 1 citedOpen Access

Frequent Co-authors

Juan Eugenio Iglesias(14), Oula Puonti(10), Annabel Sorby‐Adams(4), Ana Lawry Aguila(4), Stefano Cerri(3), Adam de Havenon(3), Matthew S. Rosen(3), W. Taylor Kimberly(3), Xiaoling Hu(3), Pablo Laso(2), Jennifer D. Guo(2), Farrah J. Mateen(2), Philipp Goebl(2), Jiaming Wu(2), Hongwei Li(2), Sean I. Young(2), Benjamin Billot(2), Gordon Sze(2), Sam Payabavash(2), Kevin N. Sheth(2)