Peirong Liu

According to our database, Peirong Liu authored at least 23 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.

Asbjørn Munk, Stefano Cerri, Jakob Ambsdorf, Julia Machnio, Sebastian Nørgaard Llambias, Vardan Nersesjan, Christian Hedeager Krag, Peirong Liu, Pablo Rocamora-García, Mostafa Mehdipour-Ghazi, Mikael Boesen, Michael Eriksen Benros, Juan Eugenio Iglesias, Mads Nielsen

CoRR, June, 2025

Conditional diffusion models for guided anomaly detection in brain images using fluid-driven anomaly randomization.

Ana Lawry Aguila, Peirong Liu, Oula Puonti, Juan Eugenio Iglesias

CoRR, June, 2025

Scalable Segmentation for Ultra-High-Resolution Brain MR Images.

Xiaoling Hu, Peirong Liu, Dina Zemlyanker, Jonathan Williams Ramirez, Oula Puonti, Juan Eugenio Iglesias

CoRR, May, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization.

Peirong Liu, Ana Lawry Aguila, Juan Eugenio Iglesias

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI.

Peirong Liu, Oula Puonti, Annabel Sorby-Adams, William T. Kimberly, Juan Eugenio Iglesias

CoRR, 2024

PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI.

Peirong Liu, Oula Puonti, Annabel Sorby-Adams, W. Taylor Kimberly, Juan Eugenio Iglesias

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI.

Pablo Laso, Stefano Cerri, Annabel Sorby-Adams, Jennifer Guo, Farrah Mateen, Philipp Goebl, Jiaming Wu, Peirong Liu, Hongwei Bran Li, Sean I. Young, Benjamin Billot, Oula Puonti, Gordon Sze, Sam Payabavash, Adam DeHavenon, Kevin N. Sheth, Matthew S. Rosen, John Kirsch, Nicola Strisciuglio, Jelmer M. Wolterink, Arman Eshaghi, Frederik Barkhof, W. Taylor Kimberly, Juan Eugenio Iglesias

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Brain-ID: Learning Contrast-Agnostic Anatomical Representations for Brain Imaging.

Peirong Liu, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan Eugenio Iglesias

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Brain-ID: Learning Robust Feature Representations for Brain Imaging.

Peirong Liu, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan Eugenio Iglesias

CoRR, 2023

2022

A Unified Model for Tracking and Image-Video Detection Has More Power.

Peirong Liu, Rui Wang, Pengchuan Zhang, Omid Poursaeed, Yipin Zhou, Xuefei Cao, Sreya Dutta Roy, Ashish Shah, Ser-Nam Lim

CoRR, 2022

Efficient conditioned face animation using frontally-viewed embedding.

Maxime Oquab, Daniel Haziza, Ludovic Schwartz, Tao Xu, Katayoun Zand, Rui Wang, Peirong Liu, Camille Couprie

CoRR, 2022

Deep Decomposition for Stochastic Normal-Abnormal Transport.

Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Perfusion Imaging: An Advection Diffusion Approach.

Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer

IEEE Trans. Medical Imaging, 2021

An Automatic Concrete Crack-Detection Method Fusing Point Clouds and Images Based on Improved Otsu's Algorithm.

Xiaolong Chen, Jian Li, Shuowen Huang, Hao Cui, Peirong Liu, Quan Sun

Sensors, 2021

Self-appearance-aided Differential Evolution for Motion Transfer.

Peirong Liu, Rui Wang, Xuefei Cao, Yipin Zhou, Ashish Shah, Maxime Oquab, Camille Couprie, Ser-Nam Lim

CoRR, 2021

Accurate Point Cloud Registration with Robust Optimal Transport.

Zhengyang Shen, Jean Feydy, Peirong Liu, Ariel Hernán Curiale, Rubén San José Estépar, Raúl San José Estépar, Marc Niethammer

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Local Temperature Scaling for Probability Calibration.

Zhipeng Ding, Xu Han, Peirong Liu, Marc Niethammer

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Discovering Hidden Physics Behind Transport Dynamics.

Peirong Liu, Lin Tian, Yubo Zhang, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Perfusion Imaging: A Data Assimilation Approach.

Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer

CoRR, 2020

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

PIANO: Perfusion Imaging via Advection-Diffusion.

Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces.

Peirong Liu, Zhengwang Wu, Gang Li, Pew-Thian Yap, Dinggang Shen

Proceedings of the Information Processing in Medical Imaging, 2019