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Volumetric Registration-Based Cleft Volume Estimation of Alveolar Cleft Grafting Procedures

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020, p.99-103

2020

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Fast 3D hand estimation for mobile interactions

2016 23rd International Conference on Pattern Recognition (ICPR), 2016, p.979-984

2016

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Volumetric reconstruction of craniofacial structures from 2D lateral cephalograms by regression forest

2016 IEEE International Conference on Image Processing (ICIP), 2016, p.4052-4056

2016

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A video saliency detection method based on spatial and motion information

2015 IEEE International Conference on Image Processing (ICIP), 2015, p.412-416

2015

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Voxel-wise correspondence of cone-beam computed tomography images by cascaded randomized forest

2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 2017, p.481-484

2017

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Post inserted object calibration for stereo video rectification

2015 IEEE International Conference on Image Processing (ICIP), 2015, p.1190-1194

2015

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3D exemplar-based random walks for tooth segmentation from cone-beam computed tomography images

Medical physics (Lancaster), 2016-09, Vol.43 (9), p.5040-5050

2016

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Superimposition of Cone-Beam Computed Tomography Images by Joint Embedding

IEEE transactions on biomedical engineering, 2017-06, Vol.64 (6), p.1218-1227

2017

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Spatially Consistent Supervoxel Correspondences of Cone-Beam Computed Tomography Images

IEEE transactions on medical imaging, 2018-10, Vol.37 (10), p.2310-2321

2018

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Tooth Segmentation and Labeling from Digital Dental Casts

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020, p.669-673

2020

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Non-Rigid 2D-3D Registration Using Convolutional Autoencoders

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020, p.700-704

2020

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Typical Sequences Extraction and Recognition

Computer Vision in Human-Computer Interaction, 2004, p.60-71

2004

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Depth-Based 3D Face Reconstruction and Pose Estimation Using Shape-Preserving Domain Adaptation

IEEE transactions on biometrics, behavior, and identity science, 2021-01, Vol.3 (1), p.6-15

2021

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Non-rigid Craniofacial 2D-3D Registration Using CNN-Based Regression

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, p.117-125

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Masseter Muscle Segmentation from Cone-Beam CT Images using Generative Adversarial Network

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019, p.1188-1192

2019

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Correspondence-Steered Volumetric Descriptor Learning Using Deep Functional Maps

Machine Learning in Medical Imaging, 2019, p.247-255

2019

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Consistent Correspondence of Cone-Beam CT Images Using Volume Functional Maps

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, p.801-809

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An Unsupervised Approach for 3D Face Reconstruction from a Single Depth Image

Advances in Computer Graphics, p.206-219

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Multi-scale Volumetric ConvNet with Nested Residual Connections for Segmentation of Anterior Cranial Base

Machine Learning in Medical Imaging, 2017, p.123-131

2017

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Finding Dense Supervoxel Correspondence of Cone-Beam Computed Tomography Images

Machine Learning in Medical Imaging, 2017, p.114-122

2017

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Temporal Consistent 2D-3D Registration of Lateral Cephalograms and Cone-Beam Computed Tomography Images

Machine Learning in Medical Imaging, 2018, Vol.11046, p.371-379

2018

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Masseter Segmentation from Computed Tomography Using Feature-Enhanced Nested Residual Neural Network

Machine Learning in Medical Imaging, 2018, Vol.11046, p.355-362

2018

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Mixed Metric Random Forest for Dense Correspondence of Cone-Beam Computed Tomography Images

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, p.283-290

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Face Denoising and 3D Reconstruction from A Single Depth Image

2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), 2020, p.117-124

2020

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Canonical sequence extraction and HMM model building based on hierarchical clustering 1

Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings, 2004, p.595-601

2004

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Volumetric Registration-Based Cleft Volume Estimation of Alveolar Cleft Grafting Procedures

Fast 3D hand estimation for mobile interactions

Volumetric reconstruction of craniofacial structures from 2D lateral cephalograms by regression forest

A video saliency detection method based on spatial and motion information

Voxel-wise correspondence of cone-beam computed tomography images by cascaded randomized forest

Post inserted object calibration for stereo video rectification

3D exemplar-based random walks for tooth segmentation from cone-beam computed tomography images

Superimposition of Cone-Beam Computed Tomography Images by Joint Embedding

Spatially Consistent Supervoxel Correspondences of Cone-Beam Computed Tomography Images

Tooth Segmentation and Labeling from Digital Dental Casts

Non-Rigid 2D-3D Registration Using Convolutional Autoencoders

Typical Sequences Extraction and Recognition

Depth-Based 3D Face Reconstruction and Pose Estimation Using Shape-Preserving Domain Adaptation

Non-rigid Craniofacial 2D-3D Registration Using CNN-Based Regression

Masseter Muscle Segmentation from Cone-Beam CT Images using Generative Adversarial Network

Correspondence-Steered Volumetric Descriptor Learning Using Deep Functional Maps

Consistent Correspondence of Cone-Beam CT Images Using Volume Functional Maps

An Unsupervised Approach for 3D Face Reconstruction from a Single Depth Image

Multi-scale Volumetric ConvNet with Nested Residual Connections for Segmentation of Anterior Cranial Base

Finding Dense Supervoxel Correspondence of Cone-Beam Computed Tomography Images

Temporal Consistent 2D-3D Registration of Lateral Cephalograms and Cone-Beam Computed Tomography Images

Masseter Segmentation from Computed Tomography Using Feature-Enhanced Nested Residual Neural Network

Mixed Metric Random Forest for Dense Correspondence of Cone-Beam Computed Tomography Images

Face Denoising and 3D Reconstruction from A Single Depth Image

Canonical sequence extraction and HMM model building based on hierarchical clustering 1

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