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Tianmin Xu
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2020 – today
- 2024
- [c27]Yixiao Guo
, Yuru Pei
Stochastic Anomaly Simulation for Maxilla Completion from Cone-Beam Computed Tomography. MICCAI (8) 2024: 667-677 - 2023
- [j13]Yicheng Zhong
Bi-Graph Reasoning for Masticatory Muscle Segmentation From Cone-Beam Computed Tomography. IEEE Trans. Medical Imaging 42(12): 3690-3701 (2023) - [c26]Yixiao Guo, Lei Hou, Zili Li, Yang He, Tianmin Xu, Yuru Pei:
Weakly Supervised Learning Of Piecewise Rigid Transformation for Orthognathic Surgical Reconstruction of Dentofacial Deformity. ISBI 2023: 1-5 - 2022
- [j12]Yichen Pan, Yinghui Wang, Gang Li, Si Chen, Tianmin Xu:
Validity and reliability of masseter muscles segmentation from the transverse sections of Cone-Beam CT scans compared with MRI scans. Int. J. Comput. Assist. Radiol. Surg. 17(4): 751-759 (2022) - [j11]Yunai Yi, Diya Sun, Peixin Li, Tae-Kyun Kim
Unsupervised random forest for affinity estimation. Comput. Vis. Media 8(2): 257-272 (2022) - [j10]Diya Sun, Yuru Pei
Dense correspondence of deformable volumetric images via deep spectral embedding and descriptor learning. Medical Image Anal. 82: 102604 (2022) - [j9]Yikun Jiang
Craniofacial Volumetric Image Estimation From a Lateral Cephalogram Using Cross-Dimensional Discrete Embedding Mapping. IEEE Trans. Computational Imaging 8: 972-985 (2022) - [j8]Diya Sun
Deep Volumetric Descriptor Learning for Dense Correspondence of Cone-Beam Computed Tomography via Spectral Maps. IEEE Trans. Medical Imaging 41(8): 2157-2169 (2022) - [c25]Kaichen Nie, Yuru Pei, Diya Sun, Tianmin Xu:
Deep Supervoxel Mapping Learning for Dense Correspondence of Cone-Beam Computed Tomography. PRCV (2) 2022: 417-427 - 2021
- [c24]Diya Sun
Spectral Embedding Approximation and Descriptor Learning for Craniofacial Volumetric Image Correspondence. MICCAI (4) 2021: 161-170 - 2020
- [j7]Yiran Jiang, Guangying Song, Xiaonan Yu, Yuanbo Dou, Qingfeng Li
The application and accuracy of feature matching on automated cephalometric superimposition. BMC Medical Imaging 20(1): 31 (2020) - [c23]Yungeng Zhang, Yuru Pei, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha:
Fully Convolutional Network for Consistent Voxel-Wise Correspondence. AAAI 2020: 12935-12942 - [c22]Yungeng Zhang, Yuru Pei, Si Chen, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha:
Volumetric Registration-Based Cleft Volume Estimation of Alveolar Cleft Grafting Procedures. ISBI 2020: 99-103 - [c21]Diya Sun, Yuru Pei, Guangying Song, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha:
Tooth Segmentation and Labeling from Digital Dental Casts. ISBI 2020: 669-673 - [c20]Peixin Li, Yuru Pei, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha:
Non-Rigid 2D-3D Registration Using Convolutional Autoencoders. ISBI 2020: 700-704 - [c19]Yikun Jiang, Peixin Li, Yungeng Zhang, Yuru Pei, Yuke Guo, Tianmin Xu, Xiaoru Yuan:
3D Volume Reconstruction from Single Lateral X-Ray Image via Cross-Modal Discrete Embedding Transition. MLMI@MICCAI 2020: 322-331 - [c18]Yungeng Zhang, Yuru Pei, Yuke Guo, Si Chen, Tianmin Xu, Hongbin Zha:
Cleft Volume Estimation and Maxilla Completion Using Cascaded Deep Neural Networks. MLMI@MICCAI 2020: 332-341 - [c17]Diya Sun, Yuru Pei, Peixin Li, Guangying Song, Yuke Guo, Hongbin Zha, Tianmin Xu:
Automatic Tooth Segmentation and Dense Correspondence of 3D Dental Model. MICCAI (4) 2020: 703-712 - [c16]Mochen Yu, Yuke Guo, Diya Sun, Yuru Pei, Tianmin Xu:
Automatic Tooth Segmentation and 3D Reconstruction from Panoramic and Lateral Radiographs. PRCV (1) 2020: 53-64
2010 – 2019
- 2019
- [c15]Yungeng Zhang, Yuru Pei, Haifang Qin
Masseter Muscle Segmentation from Cone-Beam CT Images using Generative Adversarial Network. ISBI 2019: 1188-1192 - [c14]Diya Sun, Yuru Pei, Yungeng Zhang, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha:
Correspondence-Steered Volumetric Descriptor Learning Using Deep Functional Maps. MLMI@MICCAI 2019: 247-255 - 2018
- [j6]Yuru Pei
Spatially Consistent Supervoxel Correspondences of Cone-Beam Computed Tomography Images. IEEE Trans. Medical Imaging 37(10): 2310-2321 (2018) - [c13]Diya Sun, Yuru Pei, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha:
Dense Correspondence of Cone-Beam Computed Tomography Images Using Oblique Clustering Forest. BMVC 2018: 228 - [c12]Haifang Qin
Masseter Segmentation from Computed Tomography Using Feature-Enhanced Nested Residual Neural Network. MLMI@MICCAI 2018: 355-362 - [c11]Yungeng Zhang, Yuru Pei, Haifang Qin
Temporal Consistent 2D-3D Registration of Lateral Cephalograms and Cone-Beam Computed Tomography Images. MLMI@MICCAI 2018: 371-379 - [c10]Yungeng Zhang, Yuru Pei, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha:
Consistent Correspondence of Cone-Beam CT Images Using Volume Functional Maps. MICCAI (1) 2018: 801-809 - 2017
- [j5]Yuru Pei, Gengyu Ma, Gui Chen, Xiaoyun Zhang, Tianmin Xu, Hongbin Zha:
Superimposition of Cone-Beam Computed Tomography Images by Joint Embedding. IEEE Trans. Biomed. Eng. 64(6): 1218-1227 (2017) - [c9]Yuru Pei, Yunai Yi, Gui Chen, Tianmin Xu, Hongbin Zha, Gengyu Ma:
Voxel-wise correspondence of cone-beam computed tomography images by cascaded randomized forest. ISBI 2017: 481-484 - [c8]Yuru Pei, Yunai Yi, Gengyu Ma, Yuke Guo, Gui Chen, Tianmin Xu, Hongbin Zha:
Finding Dense Supervoxel Correspondence of Cone-Beam Computed Tomography Images. MLMI@MICCAI 2017: 114-122 - [c7]Yuru Pei, Yungeng Zhang, Haifang Qin
Non-rigid Craniofacial 2D-3D Registration Using CNN-Based Regression. DLMIA/ML-CDS@MICCAI 2017: 117-125 - [c6]Yuru Pei, Haifang Qin
Multi-scale Volumetric ConvNet with Nested Residual Connections for Segmentation of Anterior Cranial Base. MLMI@MICCAI 2017: 123-131 - [c5]Yuru Pei, Yunai Yi, Gengyu Ma, Yuke Guo, Gui Chen, Tianmin Xu, Hongbin Zha:
Mixed Metric Random Forest for Dense Correspondence of Cone-Beam Computed Tomography Images. MICCAI (1) 2017: 283-290 - 2016
- [j4]Fanfan Dai
Three-dimensional modeling of an individualized functional masticatory system and bite force analysis with an orthodontic bite plate. Int. J. Comput. Assist. Radiol. Surg. 11(2): 217-229 (2016) - [c4]Yuru Pei, Fanfan Dai
Volumetric reconstruction of craniofacial structures from 2D lateral cephalograms by regression forest. ICIP 2016: 4052-4056 - 2013
- [c3]Yuru Pei, Bin Liu, Hongbin Zha, Bing Han, Tianmin Xu:
Anatomical Structure Sketcher for Cephalograms by Bimodal Deep Learning. BMVC 2013 - 2012
- [j3]Yuru Pei, Fuhao Shi, Hua Chen, Jia Wei, Hongbin Zha, Ruoping Jiang, Tianmin Xu:
Personalized Tooth Shape Estimation From Radiograph and Cast. IEEE Trans. Biomed. Eng. 59(9): 2400-2411 (2012)
2000 – 2009
- 2009
- [j2]Lili Ma, Tianmin Xu, Jiuxiang Lin:
Validation of a three-dimensional facial scanning system based on structured light techniques. Comput. Methods Programs Biomed. 94(3): 290-298 (2009) - 2006
- [j1]Weining Yue, Dali Yin, Chengjun Li, Guoping Wang, Tianmin Xu:
Automated 2-D Cephalometric Analysis on X-ray Images by a Model-Based Approach. IEEE Trans. Biomed. Eng. 53(8): 1615-1623 (2006) - 2005
- [c2]Weining Yue, Dali Yin, Guoping Wang, Tianmin Xu, Chengjun Li:
Computerized Extraction of Craniofacial Anatomical Structures for Orthodontic Analysis. CAIP 2005: 363-370 - [c1]Weining Yue, Dali Yin, Chengjun Li, Guoping Wang, Tianmin Xu:
Locating large-scale craniofacial feature points on X-ray images for automated cephalometric analysis. ICIP (2) 2005: 1246-1249
Coauthor Index
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