Peirong Liu - RankMe

36 papers A* 6Journal 23Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Modality-agnostic Multi-task Foundation Model for Human Brain Imaging. CoRR Peirong Liu, Oula Puonti, Xiaoling Hu, Karthik Gopinath, Annabel Sorby-Adams, Daniel C. Alexander, W. Taylor Kimberly, Juan Eugenio Iglesias
2025	J	`jnl`	A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning. CoRR 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
2025	—	`conf`	Conditional Diffusion Models for Guided Anomaly Detection in Brain MRI Using Fluid-Driven Anomaly Randomization. DGM4MICCAI@MICCAI Ana Lawry Aguila, Peirong Liu, Oula Puonti, Juan Eugenio Iglesias
2025	J	`jnl`	Conditional diffusion models for guided anomaly detection in brain images using fluid-driven anomaly randomization. CoRR Ana Lawry Aguila, Peirong Liu, Oula Puonti, Juan Eugenio Iglesias
2025	J	`jnl`	Generating healthy counterfactuals with denoising diffusion bridge models. CoRR Ana Lawry Aguila, Peirong Liu, Marina Crespo Aguirre, Juan Eugenio Iglesias
2025	A*	`conf`	Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging. ICLR Xiaoling Hu, Karthik Gopinath, Peirong Liu, Malte Hoffmann, Koen Van Leemput, Oula Puonti, Juan Eugenio Iglesias
2025	J	`jnl`	Scalable Segmentation for Ultra-High-Resolution Brain MR Images. CoRR Xiaoling Hu, Peirong Liu, Dina Zemlyanker, Jonathan Williams Ramirez, Oula Puonti, Juan Eugenio Iglesias
2025	J	`jnl`	USB: Unified Synthetic Brain Framework for Bidirectional Pathology-Healthy Generation and Editing. CoRR Jun Wang, Peirong Liu
2025	A*	`conf`	Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization. CVPR Peirong Liu, Ana Lawry Aguila, Juan Eugenio Iglesias
2025	J	`jnl`	Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization. CoRR Peirong Liu, Ana Lawry Aguila, Juan Eugenio Iglesias
2024	—	`conf`	Brain-ID: Learning Contrast-Agnostic Anatomical Representations for Brain Imaging. ECCV (12) Peirong Liu, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan Eugenio Iglesias
2024	J	`jnl`	Hierarchical uncertainty estimation for learning-based registration in neuroimaging. CoRR Xiaoling Hu, Karthik Gopinath, Peirong Liu, Malte Hoffmann, Koen Van Leemput, Oula Puonti, Juan Eugenio Iglesias
2024	—	`conf`	PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI. MICCAI (12) Peirong Liu, Oula Puonti, Annabel Sorby-Adams, W. Taylor Kimberly, Juan Eugenio Iglesias
2024	J	`jnl`	PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI. CoRR Peirong Liu, Oula Puonti, Annabel Sorby-Adams, William T. Kimberly, Juan Eugenio Iglesias
2024	—	`conf`	Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI. ISBI 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
2023	J	`jnl`	Brain-ID: Learning Robust Feature Representations for Brain Imaging. CoRR Peirong Liu, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan Eugenio Iglesias
2023	J	`jnl`	Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI. CoRR 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
2022	J	`jnl`	A Unified Model for Tracking and Image-Video Detection Has More Power. CoRR Peirong Liu, Rui Wang, Pengchuan Zhang, Omid Poursaeed, Yipin Zhou, Xuefei Cao, Sreya Dutta Roy, Ashish Shah, Ser-Nam Lim
2022	A*	`conf`	Deep Decomposition for Stochastic Normal-Abnormal Transport. CVPR Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer
2022	J	`jnl`	Efficient conditioned face animation using frontally-viewed embedding. CoRR Maxime Oquab, Daniel Haziza, Ludovic Schwartz, Tao Xu, Katayoun Zand, Rui Wang, Peirong Liu, Camille Couprie
2022	J	`jnl`	Fluid registration between lung CT and stationary chest tomosynthesis images. CoRR Lin Tian, Connor Puett, Peirong Liu, Zhengyang Shen, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer
2021	A*	`conf`	Accurate Point Cloud Registration with Robust Optimal Transport. NeurIPS Zhengyang Shen, Jean Feydy, Peirong Liu, Ariel Hernán Curiale, Rubén San José Estépar, Raúl San José Estépar, Marc Niethammer
2021	J	`jnl`	Accurate Point Cloud Registration with Robust Optimal Transport. CoRR Zhengyang Shen, Jean Feydy, Peirong Liu, Ariel Hernán Curiale, Rubén San José Estépar, Raúl San José Estépar, Marc Niethammer
2021	J	`jnl`	An Automatic Concrete Crack-Detection Method Fusing Point Clouds and Images Based on Improved Otsu's Algorithm. Sensors Xiaolong Chen, Jian Li, Shuowen Huang, Hao Cui, Peirong Liu, Quan Sun
2021	J	`jnl`	Deep Decomposition for Stochastic Normal-Abnormal Transport. CoRR Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer
2021	A*	`conf`	Discovering Hidden Physics Behind Transport Dynamics. CVPR Peirong Liu, Lin Tian, Yubo Zhang, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer
2021	A*	`conf`	Local Temperature Scaling for Probability Calibration. ICCV Zhipeng Ding, Xu Han, Peirong Liu, Marc Niethammer
2021	J	`jnl`	Perfusion Imaging: An Advection Diffusion Approach. IEEE Trans. Medical Imaging Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer
2021	J	`jnl`	Self-appearance-aided Differential Evolution for Motion Transfer. CoRR Peirong Liu, Rui Wang, Xuefei Cao, Yipin Zhou, Ashish Shah, Maxime Oquab, Camille Couprie, Ser-Nam Lim
2020	J	`jnl`	Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces. CoRR Peirong Liu, Zhengwang Wu, Gang Li, Pew-Thian Yap, Dinggang Shen
2020	J	`jnl`	Discovering Hidden Physics Behind Transport Dynamics. CoRR Peirong Liu, Lin Tian, Yubo Zhang, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer
2020	—	`conf`	Fluid Registration Between Lung CT and Stationary Chest Tomosynthesis Images. MICCAI (3) Lin Tian, Connor Puett, Peirong Liu, Zhengyang Shen, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer
2020	J	`jnl`	Local Temperature Scaling for Probability Calibration. CoRR Zhipeng Ding, Xu Han, Peirong Liu, Marc Niethammer
2020	—	`conf`	PIANO: Perfusion Imaging via Advection-Diffusion. MICCAI (7) Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer
2020	J	`jnl`	Perfusion Imaging: A Data Assimilation Approach. CoRR Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer
2019	—	`conf`	Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces. IPMI Peirong Liu, Zhengwang Wu, Gang Li, Pew-Thian Yap, Dinggang Shen