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20202026
most citedAccurate Point Cloud Registration with Robust Optimal Transport

26 citations · 46 across the 11 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

BrainDiff: Longitudinal Report Generation for Multimodal Brain MRI

Krish Patel, Peirong Liu

Neuroradiologists rarely read a brain MRI in isolation, yet automated brain-MRI report generation has been built almost entirely for single studies. Temporal analysis has been expl…

cs.CV2026

Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge

Asbjørn Munk, Stefano Cerri, Vardan Nersesjan +81

Clinical deployment of automated brain MRI analysis faces a fundamental challenge: clinical data is heterogeneous and noisy, and high-quality labels are prohibitively costly to obt…

cs.CV2023★ 1 cited

Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging

Peirong Liu, Oula Puonti, Xiaoling Hu +2

Recent learning-based approaches have made astonishing advances in calibrated medical imaging like computerized tomography (CT), yet they struggle to generalize in uncalibrated mod…

cs.CV2021

Deep Decomposition for Stochastic Normal-Abnormal Transport

Peirong Liu, Yueh Lee, Stephen Aylward +1

Advection-diffusion equations describe a large family of natural transport processes, e.g., fluid flow, heat transfer, and wind transport. They are also used for optical flow and p…

cs.CV2021★ 26 cited

Accurate Point Cloud Registration with Robust Optimal Transport

Zhengyang Shen, Jean Feydy, Peirong Liu +4

This work investigates the use of robust optimal transport (OT) for shape matching. Specifically, we show that recent OT solvers improve both optimization-based and deep learning m…

cs.CV2020

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

Peirong Liu, Zhengwang Wu, Gang Li +2

Charting cortical growth trajectories is of paramount importance for understanding brain development. However, such analysis necessitates the collection of longitudinal data, which…

cs.CV2020

Local Temperature Scaling for Probability Calibration

Zhipeng Ding, Xu Han, Peirong Liu +1

For semantic segmentation, label probabilities are often uncalibrated as they are typically only the by-product of a segmentation task. Intersection over Union (IoU) and Dice score…