Liu, Peirong

1. Local Temperature Scaling for Probability Calibration
   2020/08/12 by Ding, Zhipeng, Han, Xu, Liu, Peirong +1 · 7 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
2. Accurate Point Cloud Registration with Robust Optimal Transport
   2021/11/01 by Zhengyang Shen, Jean Feydy, Shen, Zhengyang +11 · 7 citations
   Engineering · Computer Science · #3D Shape Modeling and Analysis #Advanced Neural Network Applications #Robotics and Sensor-Based Localization
3. Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI
   2023/12/08 by Pablo Laso, Laso, Pablo, Stefano Cerri +45 · 3 citations
   Medicine · Engineering · #Advanced Neuroimaging Techniques and Applications #Advanced MRI Techniques and Applications #Photoacoustic and Ultrasonic Imaging
4. A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning
   2025/06/17 by Stefano Cerri, Munk, Asbjørn, Asbjørn Munk +25 · 1 voice · 4 citations
   #eess.IV #cs.CV
5. Efficient conditioned face animation using frontally-viewed embedding
   2022/03/16 by Oquab, Maxime, Haziza, Daniel, Schwartz, Ludovic +5 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
6. Discovering Hidden Physics Behind Transport Dynamics
   2020/11/24 by Peirong Liu, Lin Tian, Liu, Peirong +9 · 1 citation
   Medicine · #Advanced Neuroimaging Techniques and Applications #Advanced MRI Techniques and Applications #MRI in cancer diagnosis
7. Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
   2023/11/28 by Peirong Liu, Liu, Peirong, Oula Puonti +7 · 3 citations
   Neuroscience · Computer Science · #Brain Tumor Detection and Classification #EEG and Brain-Computer Interfaces #Neural Networks and Applications
8. Deep Decomposition for Stochastic Normal-Abnormal Transport
   2021/11/29 by Liu, Peirong, Lee, Yueh, Aylward, Stephen +1 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
9. Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization
   2025/01/23 by Liu, Peirong, Aguila, Ana Lawry, Iglesias, Juan E. · 3 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
10. PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI
    2024/03/10 by Peirong Liu, Oula Puonti, Liu, Peirong +7 · 2 citations
    Medicine · Physics and Astronomy · #Advanced MRI Techniques and Applications #Atomic and Subatomic Physics Research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Nuclear Physics and Applications #electronic engineering #information engineering
11. Conditional diffusion models for guided anomaly detection in brain images using fluid-driven anomaly randomization
    2025/06/11 by Ana Lawry Aguila, Peirong Liu, Aguila, Ana Lawry +5 · 4 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #Medical Image Segmentation Techniques #electronic engineering #information engineering
12. Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging
    2024/10/11 by Hu, Xiaoling, Gopinath, Karthik, Liu, Peirong +4 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering