2024

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]

Pablo Laso, Stefano Cerri, Annabel Sorby-Adams, Jennifer Guo, Farrah Matteen, Philipp Goebl, Jiaming Wu, Peirong Liu, Hongwei Li, Sean I. Young, Benjamin Billot, Oula Puonti, Gordon Sze, Sam Payabvash, Adam Dehavenon, Kevin N. Sheth, Matthew S. Rosen, John Kirsch, Nicola Strisciuglio, Jelmer M. Wolterink, Arman Eshaghi, Frederik Barkhof, William T. Kimberly, Juan E. Iglesias. ”Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI.”. International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024. (Oral) [FreeSurfer Toolbox]

2022

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]

2021

Zhengyang Shen, Jean Feydy, Peirong Liu, Ariel Hernán Curiale, Ruben San José Estépar, Raúl San Joé Estépar, Marc Niethammer. “Accurate Point Cloud Registration with Robust Optimal Transport”. Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS), Virtual, 2021. [code]

Zhipeng Ding, Xu Han, Peirong Liu, Marc Niethammer. “Local Temperature Scaling for Probability Calibration”. IEEE/CVF International Conference on Computer Vision (ICCV), Virtual, 2021. [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]

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]

2020

Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer. “PIANO: Perfusion Imaging via Advection-Diffusion”. Medical Image Computing and Computer Assisted Intervention (MICCAI), Virtual, 2020. (Oral, Early Accept - 13%) [code]

Lin Tian, Connor Puett, Peirong Liu, Zhengyang Shen, Stephen Aylward, Yueh Lee, Marc Niethammer. “Fluid Registration Between Lung CT and Stationary Chest Tomosynthesis Images”. Medical Image Computing and Computer Assisted Intervention (MICCAI), Virtual, 2020. [code]

2019

Peirong Liu, Zhengwang Wu, Gang Li, Pew-Thian Yap, Dinggang Shen. “Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces”. Information Processing in Medical Imaging (IPMI), Hong Kong, 2019. (Oral - 10%) [code]


Under Review

Peirong Liu, Oula Puonti, Xiaoling Hu, Karthik Gopinath, Annabel Sorby-Adams, William T. Kimberly, Daniel C. Alexander, Juan E. Iglesias. “A Modality-agnostic Multi-task Foundation Model for Human Brain Imaging”. Under Review, IEEE Transactions on Medical Imaging (IEEE TMI).

Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer. “HARP: Hemisphere-normalized Atlas Representing Perfusion”. Under Review, Radiology.

Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer. “D2-SONATA+: Deep Decompositions for Stochastic Normal-Abnormal Transport”. Under Review, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI).