Peirong Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
5
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization. | Peirong Liu, Ana Lawry Aguila, Juan Eugenio Iglesias |
| 2025 | ICLR | Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging. | Xiaoling Hu, Karthik Gopinath, Peirong Liu, Malte Hoffmann, Koen Van Leemput, Oula Puonti, Juan Eugenio Iglesias |
| 2025 | MICCAI | Conditional Diffusion Models for Guided Anomaly Detection in Brain MRI Using Fluid-Driven Anomaly Randomization. | Ana Lawry Aguila, Peirong Liu, Oula Puonti, Juan Eugenio Iglesias |
| 2024 | ECCV | Brain-ID: Learning Contrast-Agnostic Anatomical Representations for Brain Imaging. | Peirong Liu, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan Eugenio Iglesias |
| 2024 | MICCAI | PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI. | Peirong Liu, Oula Puonti, Annabel Sorby-Adams, W. Taylor Kimberly, Juan Eugenio Iglesias |
| 2022 | CVPR | Deep Decomposition for Stochastic Normal-Abnormal Transport. | Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer |
| 2021 | CVPR | Discovering Hidden Physics Behind Transport Dynamics. | Peirong Liu, Lin Tian, Yubo Zhang, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer |
| 2021 | ICCV | Local Temperature Scaling for Probability Calibration. | Zhipeng Ding, Xu Han, Peirong Liu, Marc Niethammer |
| 2020 | MICCAI | PIANO: Perfusion Imaging via Advection-Diffusion. | Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer |
| 2020 | MICCAI | 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 |