Computerized Extraction of Craniofacial Anatomical Structures for Orthodontic Analysis. - Weining Yue; Dali Yin; Guoping Wang; Tianmin Xu; Chengjun Li (CAIP, 2005)

Locating large-scale craniofacial feature points on X-ray images for automated cephalometric analysis. - Weining Yue; Dali Yin; Chengjun Li; Guoping Wang; Tianmin Xu (ICIP (2), 2005)

Automated 2-D Cephalometric Analysis on X-ray Images by a Model-Based Approach. - Weining Yue; Dali Yin; Chengjun Li; Guoping Wang; Tianmin Xu (IEEE Trans. Biomed. Eng., 2006)

Validation of a three-dimensional facial scanning system based on structured light techniques. - Lili Ma; Tianmin Xu; Jiuxiang Lin (Comput. Methods Programs Biomed., 2009)

Personalized Tooth Shape Estimation From Radiograph and Cast. - Yuru Pei; Fuhao Shi; Hua Chen; Jia Wei; Hongbin Zha; Ruoping Jiang; Tianmin Xu (IEEE Trans. Biomed. Eng., 2012)

Anatomical Structure Sketcher for Cephalograms by Bimodal Deep Learning. - Yuru Pei; Bin Liu; Hongbin Zha; Bing Han; Tianmin Xu (BMVC, 2013)

Volumetric reconstruction of craniofacial structures from 2D lateral cephalograms by regression forest. - Yuru Pei; Fanfan Dai; Tianmin Xu; Hongbin Zha; Gengyu Ma (ICIP, 2016)

Three-dimensional modeling of an individualized functional masticatory system and bite force analysis with an orthodontic bite plate. - Fanfan Dai; Longfang Wang; Gui Chen; Si Chen; Tianmin Xu (Int. J. Comput. Assist. Radiol. Surg., 2016)

Voxel-wise correspondence of cone-beam computed tomography images by cascaded randomized forest. - Yuru Pei; Yunai Yi; Gui Chen; Tianmin Xu; Hongbin Zha; Gengyu Ma (ISBI, 2017)

Multi-scale Volumetric ConvNet with Nested Residual Connections for Segmentation of Anterior Cranial Base. - Yuru Pei; Haifang Qin; Gengyu Ma; Yuke Guo; Gui Chen; Tianmin Xu; Hongbin Zha (MLMI@MICCAI, 2017)

Mixed Metric Random Forest for Dense Correspondence of Cone-Beam Computed Tomography Images. - Yuru Pei; Yunai Yi; Gengyu Ma; Yuke Guo; Gui Chen; Tianmin Xu; Hongbin Zha (MICCAI (1), 2017)

Finding Dense Supervoxel Correspondence of Cone-Beam Computed Tomography Images. - Yuru Pei; Yunai Yi; Gengyu Ma; Yuke Guo; Gui Chen; Tianmin Xu; Hongbin Zha (MLMI@MICCAI, 2017)

Non-rigid Craniofacial 2D-3D Registration Using CNN-Based Regression. - Yuru Pei; Yungeng Zhang; Haifang Qin; Gengyu Ma; Yuke Guo; Tianmin Xu; Hongbin Zha (DLMIA/ML-CDS@MICCAI, 2017)

Superimposition of Cone-Beam Computed Tomography Images by Joint Embedding. - Yuru Pei; Gengyu Ma; Gui Chen; Xiaoyun Zhang; Tianmin Xu; Hongbin Zha (IEEE Trans. Biomed. Eng., 2017)

Dense Correspondence of Cone-Beam Computed Tomography Images Using Oblique Clustering Forest. - Diya Sun; Yuru Pei; Yuke Guo; Gengyu Ma; Tianmin Xu; Hongbin Zha (BMVC, 2018)

Masseter Segmentation from Computed Tomography Using Feature-Enhanced Nested Residual Neural Network. - Haifang Qin; Yuru Pei; Yuke Guo; Gengyu Ma; Tianmin Xu; Hongbin Zha (MLMI@MICCAI, 2018)

Consistent Correspondence of Cone-Beam CT Images Using Volume Functional Maps. - Yungeng Zhang; Yuru Pei; Yuke Guo; Gengyu Ma; Tianmin Xu; Hongbin Zha (MICCAI (1), 2018)

Temporal Consistent 2D-3D Registration of Lateral Cephalograms and Cone-Beam Computed Tomography Images. - Yungeng Zhang; Yuru Pei; Haifang Qin; Yuke Guo; Gengyu Ma; Tianmin Xu; Hongbin Zha (MLMI@MICCAI, 2018)

Spatially Consistent Supervoxel Correspondences of Cone-Beam Computed Tomography Images. - Yuru Pei; Yunai Yi; Gengyu Ma; Tae-Kyun Kim 001; Yuke Guo; Tianmin Xu; Hongbin Zha (IEEE Trans. Medical Imaging, 2018)

Masseter Muscle Segmentation from Cone-Beam CT Images using Generative Adversarial Network. - Yungeng Zhang; Yuru Pei; Haifang Qin; Yuke Guo; Gengyu Ma; Tianmin Xu; Hongbin Zha (ISBI, 2019)

Correspondence-Steered Volumetric Descriptor Learning Using Deep Functional Maps. - Diya Sun; Yuru Pei; Yungeng Zhang; Yuke Guo; Gengyu Ma; Tianmin Xu; Hongbin Zha (MLMI@MICCAI, 2019)

Fully Convolutional Network for Consistent Voxel-Wise Correspondence. - Yungeng Zhang; Yuru Pei; Yuke Guo; Gengyu Ma; Tianmin Xu; Hongbin Zha (AAAI, 2020)

Non-Rigid 2D-3D Registration Using Convolutional Autoencoders. - Peixin Li; Yuru Pei; Yuke Guo; Gengyu Ma; Tianmin Xu; Hongbin Zha (ISBI, 2020)

Tooth Segmentation and Labeling from Digital Dental Casts. - Diya Sun; Yuru Pei; Guangying Song; Yuke Guo; Gengyu Ma; Tianmin Xu; Hongbin Zha (ISBI, 2020)

Volumetric Registration-Based Cleft Volume Estimation of Alveolar Cleft Grafting Procedures. - Yungeng Zhang; Yuru Pei; Si Chen; Yuke Guo; Gengyu Ma; Tianmin Xu; Hongbin Zha (ISBI, 2020)

3D Volume Reconstruction from Single Lateral X-Ray Image via Cross-Modal Discrete Embedding Transition. - Yikun Jiang; Peixin Li; Yungeng Zhang; Yuru Pei; Yuke Guo; Tianmin Xu; Xiaoru Yuan (MLMI@MICCAI, 2020)

Automatic Tooth Segmentation and Dense Correspondence of 3D Dental Model. - Diya Sun; Yuru Pei; Peixin Li; Guangying Song; Yuke Guo; Hongbin Zha; Tianmin Xu (MICCAI (4), 2020)

Cleft Volume Estimation and Maxilla Completion Using Cascaded Deep Neural Networks. - Yungeng Zhang; Yuru Pei; Yuke Guo; Si Chen; Tianmin Xu; Hongbin Zha (MLMI@MICCAI, 2020)

Automatic Tooth Segmentation and 3D Reconstruction from Panoramic and Lateral Radiographs. - Mochen Yu; Yuke Guo; Diya Sun; Yuru Pei; Tianmin Xu (PRCV (1), 2020)

The application and accuracy of feature matching on automated cephalometric superimposition. - Yiran Jiang; Guangying Song; Xiaonan Yu; Yuanbo Dou; Qingfeng Li 004; Siqi Liu; Bing Han; Tianmin Xu (BMC Medical Imaging, 2020)

Spectral Embedding Approximation and Descriptor Learning for Craniofacial Volumetric Image Correspondence. - Diya Sun; Yungeng Zhang; Yuru Pei; Tianmin Xu; Hongbin Zha (MICCAI (4), 2021)

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

Validity and reliability of masseter muscles segmentation from the transverse sections of Cone-Beam CT scans compared with MRI scans. - Yichen Pan; Yinghui Wang; Gang Li; Si Chen; Tianmin Xu (Int. J. Comput. Assist. Radiol. Surg., 2022)

Unsupervised random forest for affinity estimation. - Yunai Yi; Diya Sun; Peixin Li; Tae-Kyun Kim 001; Tianmin Xu; Yuru Pei (Comput. Vis. Media, 2022)

Dense correspondence of deformable volumetric images via deep spectral embedding and descriptor learning. - Diya Sun; Yuru Pei; Yungeng Zhang; Tianmin Xu; Tianbing Wang; Hongbin Zha (Medical Image Anal., 2022)

Craniofacial Volumetric Image Estimation From a Lateral Cephalogram Using Cross-Dimensional Discrete Embedding Mapping. - Yikun Jiang; Yuru Pei; Peixin Li; Yungeng Zhang; Yuke Guo; Yi Fan; Gui Chen; Fanfan Dai; Tianmin Xu; Xiaoru Yuan; Hongbin Zha (IEEE Trans. Computational Imaging, 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)

Weakly Supervised Learning Of Piecewise Rigid Transformation for Orthognathic Surgical Reconstruction of Dentofacial Deformity. - Yixiao Guo; Lei Hou; Zili Li 012; Yang He; Tianmin Xu; Yuru Pei (ISBI, 2023)

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)

Stochastic Anomaly Simulation for Maxilla Completion from Cone-Beam Computed Tomography. - Yixiao Guo; Yuru Pei; Si Chen; Zhi-bo Zhou; Tianmin Xu; Hongbin Zha (MICCAI (8), 2024)

Toward Semantically-Consistent Deformable 2D-3D Registration for 3D Craniofacial Structure Estimation From a Single-View Lateral Cephalometric Radiograph. - Yikun Jiang; Yuru Pei; Tianmin Xu; Xiaoru Yuan; Hongbin Zha (IEEE Trans. Medical Imaging, 2025)