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Journal Articles
- 2021
[j2]Xiaolong Chen
, Jian Li, Shuowen Huang, Hao Cui, Peirong Liu, Quan Sun:
An Automatic Concrete Crack-Detection Method Fusing Point Clouds and Images Based on Improved Otsu's Algorithm. Sensors 21(5): 1581 (2021)- [j1]Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer:
Perfusion Imaging: An Advection Diffusion Approach. IEEE Trans. Medical Imaging 40(12): 3424-3435 (2021)
Conference and Workshop Papers
- 2024
- [c10]Peirong Liu, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan Eugenio Iglesias:
Brain-ID: Learning Contrast-Agnostic Anatomical Representations for Brain Imaging. ECCV (12) 2024: 322-340 - [c9]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:
Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI. ISBI 2024: 1-5 - [c8]Peirong Liu, Oula Puonti, Annabel Sorby-Adams, W. Taylor Kimberly, Juan Eugenio Iglesias:
PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI. MICCAI (12) 2024: 676-686 - 2022
- [c7]Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer:
Deep Decomposition for Stochastic Normal-Abnormal Transport. CVPR 2022: 18769-18779 - 2021
- [c6]Peirong Liu, Lin Tian, Yubo Zhang, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer:
Discovering Hidden Physics Behind Transport Dynamics. CVPR 2021: 10082-10092 - [c5]Zhipeng Ding, Xu Han, Peirong Liu, Marc Niethammer:
Local Temperature Scaling for Probability Calibration. ICCV 2021: 6869-6879 - [c4]Zhengyang Shen, Jean Feydy, Peirong Liu, Ariel Hernán Curiale, Rubén San José Estépar, Raúl San José Estépar, Marc Niethammer:
Accurate Point Cloud Registration with Robust Optimal Transport. NeurIPS 2021: 5373-5389 - 2020
- [c3]Lin Tian, Connor Puett, Peirong Liu, Zhengyang Shen, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer:
Fluid Registration Between Lung CT and Stationary Chest Tomosynthesis Images. MICCAI (3) 2020: 307-317 - [c2]Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer:
PIANO: Perfusion Imaging via Advection-Diffusion. MICCAI (7) 2020: 688-698 - 2019
- [c1]Peirong Liu, Zhengwang Wu, Gang Li, Pew-Thian Yap, Dinggang Shen:
Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces. IPMI 2019: 277-288
Informal and Other Publications
- 2024
- [i14]Peirong Liu, Oula Puonti, Annabel Sorby-Adams, William T. Kimberly, Juan Eugenio Iglesias:
PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI. CoRR abs/2403.06227 (2024) - [i13]Xiaoling Hu, Karthik Gopinath, Peirong Liu, Malte Hoffmann, Koen Van Leemput, Oula Puonti, Juan Eugenio Iglesias:
Hierarchical uncertainty estimation for learning-based registration in neuroimaging. CoRR abs/2410.09299 (2024) - 2023
- [i12]Peirong Liu, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan Eugenio Iglesias:
Brain-ID: Learning Robust Feature Representations for Brain Imaging. CoRR abs/2311.16914 (2023) - [i11]Pablo Laso, Stefano Cerri, Annabel Sorby-Adams, Jennifer Guo, Farrah Mateen, Philipp Goebl, Jiaming Wu, Peirong Liu, Hongwei 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:
Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI. CoRR abs/2312.05119 (2023) - 2022
- [i10]Lin Tian, Connor Puett, Peirong Liu, Zhengyang Shen, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer:
Fluid registration between lung CT and stationary chest tomosynthesis images. CoRR abs/2203.04958 (2022) - [i9]Maxime Oquab, Daniel Haziza, Ludovic Schwartz, Tao Xu, Katayoun Zand, Rui Wang, Peirong Liu, Camille Couprie:
Efficient conditioned face animation using frontally-viewed embedding. CoRR abs/2203.08765 (2022) - [i8]Peirong Liu, Rui Wang, Pengchuan Zhang, Omid Poursaeed, Yipin Zhou, Xuefei Cao, Sreya Dutta Roy, Ashish Shah, Ser-Nam Lim:
A Unified Model for Tracking and Image-Video Detection Has More Power. CoRR abs/2211.11077 (2022) - 2021
- [i7]Peirong Liu, Rui Wang, Xuefei Cao, Yipin Zhou, Ashish Shah, Maxime Oquab, Camille Couprie, Ser-Nam Lim:
Self-appearance-aided Differential Evolution for Motion Transfer. CoRR abs/2110.04658 (2021) - [i6]Zhengyang Shen, Jean Feydy, Peirong Liu, Ariel Hernán Curiale, Rubén San José Estépar, Raúl San José Estépar, Marc Niethammer:
Accurate Point Cloud Registration with Robust Optimal Transport. CoRR abs/2111.00648 (2021) - [i5]Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer:
Deep Decomposition for Stochastic Normal-Abnormal Transport. CoRR abs/2111.14777 (2021) - 2020
- [i4]Zhipeng Ding, Xu Han, Peirong Liu, Marc Niethammer:
Local Temperature Scaling for Probability Calibration. CoRR abs/2008.05105 (2020) - [i3]Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer:
Perfusion Imaging: A Data Assimilation Approach. CoRR abs/2009.02796 (2020) - [i2]Peirong Liu, Zhengwang Wu, Gang Li, Pew-Thian Yap, Dinggang Shen:
Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces. CoRR abs/2009.02797 (2020) - [i1]Peirong Liu, Lin Tian, Yubo Zhang, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer:
Discovering Hidden Physics Behind Transport Dynamics. CoRR abs/2011.12222 (2020)
Coauthor Index
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