Deep Supervoxel Mapping Learning for Dense Correspondence of Cone-Beam Computed Tomography. - Kaichen Nie; Yuru Pei; Diya Sun; Tianmin Xu (PRCV (2), 2022)

Deep Volumetric Descriptor Learning for Dense Correspondence of Cone-Beam Computed Tomography via Spectral Maps. - Diya Sun; Yungeng Zhang; Yuru Pei; Peixin Li; Kaichen Nie; Tianmin Xu; Tianbing Wang; Hongbin Zha (IEEE Trans. Medical Imaging, 2022)

Bi-Graph Reasoning for Masticatory Muscle Segmentation From Cone-Beam Computed Tomography. - Yicheng Zhong; Yuru Pei; Kaichen Nie; Yungeng Zhang; Tianmin Xu; Hongbin Zha (IEEE Trans. Medical Imaging, 2023)

A-Map: Interactive Visual Exploration of Intercity Accessibility Dynamics Based on Railway Network Data. - Kaichen Nie; Hanning Shao; Yuchu Luo; Min Tian; Hao Wu; Wei Zeng; Xin Fu; Xiaoru Yuan (PacificVis, 2024)

SACL: Semantics-Aware Contrastive Learning for One-Shot Medical Image Segmentation. - Tianlin Li; Kaichen Nie; Yuru Pei (ISBI, 2025)