James J. Xia

Orcid: 0000-0003-1386-0221

According to our database1, James J. Xia authored at least 62 papers between 2000 and 2024.

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Bibliography

2024
Improving image segmentation with contextual and structural similarity.
Pattern Recognit., 2024

Correspondence attention for facial appearance simulation.
Medical Image Anal., 2024

2023
Shape description losses for medical image segmentation.
Mach. Vis. Appl., July, 2023

Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning.
IEEE Trans. Medical Imaging, February, 2023

Bidirectional prediction of facial and bony shapes for orthognathic surgical planning.
Medical Image Anal., 2023

Federated Cross Learning for Medical Image Segmentation.
Proceedings of the Medical Imaging with Deep Learning, 2023

Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Soft-Tissue Driven Craniomaxillofacial Surgical Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning.
IEEE Trans. Medical Imaging, 2022

Dual Adversarial Attention Mechanism for Unsupervised Domain Adaptive Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022

Deep learning for biomechanical modeling of facial tissue deformation in orthognathic surgical planning.
Int. J. Comput. Assist. Radiol. Surg., 2022

DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deep Learning-Based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2021

Fast and Accurate Craniomaxillofacial Landmark Detection via 3D Faster R-CNN.
IEEE Trans. Medical Imaging, 2021

Estimating Reference Bony Shape Models for Orthognathic Surgical Planning Using 3D Point-Cloud Deep Learning.
IEEE J. Biomed. Health Informatics, 2021

Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects.
IEEE Trans. Biomed. Eng., 2021

A novel incremental simulation of facial changes following orthognathic surgery using FEM with realistic lip sliding effect.
Medical Image Anal., 2021

Diverse data augmentation for learning image segmentation with cross-modality annotations.
Medical Image Anal., 2021

A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Skull Segmentation from CBCT Images via Voxel-Based Rendering.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

DLLNet: An Attention-Based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures.
IEEE Trans. Medical Imaging, 2020

Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization.
Medical Image Anal., 2020

An automatic approach to establish clinically desired final dental occlusion for one-piece maxillary orthognathic surgery.
Int. J. Comput. Assist. Radiol. Surg., 2020

Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

A New Approach of Predicting Facial Changes Following Orthognathic Surgery Using Realistic Lip Sliding Effect.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

An Automatic Approach to Reestablish Final Dental Occlusion for 1-Piece Maxillary Orthognathic Surgery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Calculating the Midsagittal Plane for Symmetrical Bilateral Shapes: Applications to Clinical Facial Surgical Planning.
CoRR, 2018

Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Reconstruction-Based Digital Dental Occlusion of the Partially Edentulous Dentition.
IEEE J. Biomed. Health Informatics, 2017

Design, development and clinical validation of computer-aided surgical simulation system for streamlined orthognathic surgical planning.
Int. J. Comput. Assist. Radiol. Surg., 2017

Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Segmentation of Craniomaxillofacial Bony Structures from MRI with a 3D Deep-Learning Based Cascade Framework.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

2016
Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features.
IEEE Trans. Biomed. Eng., 2016

Prediction of soft tissue deformations after CMF surgery with incremental kernel ridge regression.
Comput. Biol. Medicine, 2016

Two-Stage Simulation Method to Improve Facial Soft Tissue Prediction Accuracy for Orthognathic Surgery.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

A Novel Computer-Aided Surgical Simulation (CASS) System to Streamline Orthognathic Surgical Planning.
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016

FEM Simulation with Realistic Sliding Effect to Improve Facial-Soft-Tissue-Change Prediction Accuracy for Orthognathic Surgery.
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016

2015
Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Automated Three-Piece Digital Dental Articulation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Craniomaxillofacial Deformity Correction via Sparse Representation in Coherent Space.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Automated Segmentation of CBCT Image with Prior-Guided Sequential Random Forest.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

Prediction of facial soft tissue deformations with improved rubin-bodner model after craniomaxillofacial (CMF) surgery.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Estimating Anatomically-Correct Reference Model for Craniomaxillofacial Deformity via Sparse Representation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
Automated Segmentation of CBCT Image Using Spiral CT Atlases and Convex Optimization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012
Incremental Kernel Ridge Regression for the Prediction of Soft Tissue Deformations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

A Novel Approach Based on Joint Optimization of Alignment and Statistical Surface Representation with Wavelet Transform for CBCT Segmentation.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2012

2010
An Automatic and Robust Algorithm of Reestablishment of Digital Dental Occlusion.
IEEE Trans. Medical Imaging, 2010

Automated Digital Dental Articulation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009
Br-SDM: a fast and accurate method for bone-related soft tissue prediction in orthognathic surgery planning based on the integration of SDM and FEM.
Int. J. Funct. Informatics Pers. Medicine, 2009

An Interactive Geometric Technique for Upper and Lower Teeth Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

2008
An Integration of Statistical Deformable Model and Finite Element Method for Bone-Related Soft Tissue Prediction in Orthognathic Surgery Planning.
Proceedings of the Medical Imaging and Augmented Reality, 4th International Workshop, 2008

2001
Three-dimensional virtual-reality surgical planning and soft-tissue prediction for orthognathic surgery.
IEEE Trans. Inf. Technol. Biomed., 2001

Methodology of Precise Skull Model Creation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001

2000
PC-based Virtual Reality Surgical Simulation for Orthognathic Surgery.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000

Simulated Patient for Orthognathic Surgery.
Proceedings of the Computer Graphics International Conference, 2000


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