Peng Yuan

Affiliations:
  • Houston Methodist Research Institute, Houston, TX, USA


According to our database1, Peng Yuan authored at least 20 papers between 2012 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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

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

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

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

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


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