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Chapter and Conference Paper
Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change
Accurate surgical planning for orthognathic surgical procedures requires biomechanical simulation of facial soft tissue changes. Simulations must be performed quickly and accurately to be useful in a clinical ...
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Chapter and Conference Paper
Soft-Tissue Driven Craniomaxillofacial Surgical Planning
In CMF surgery, the planning of bony movement to achieve a desired facial outcome is a challenging task. Current bone driven approaches focus on normalizing the bone with the expectation that the facial appear...
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Article
Deep learning for biomechanical modeling of facial tissue deformation in orthognathic surgical planning
Orthognathic surgery requires an accurate surgical plan of how bony segments are moved and how the face passively responds to the bony movement. Currently, finite element method (FEM) is the standard for predi...
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Article
Open AccessPhase retrieval based on deep learning in grating interferometer
Grating interferometry is a promising technique to obtain differential phase contrast images with illumination source of low intrinsic transverse coherence. However, retrieving the phase contrast image from th...
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Article
Open AccessAnalysis of a silicon comb structure using an inverse Talbot–Lau neutron grating interferometer
We describe an inverse Talbot–Lau neutron grating interferometer that provides an extended autocorrelation length range for quantitative dark-field imaging. To our knowledge, this is the first report of a Talb...
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Chapter and Conference Paper
Deep Learning-Based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement
Simulating facial appearance change following bony movement is a critical step in orthognathic surgical planning for patients with jaw deformities. Conventional biomechanics-based methods such as the finite-el...
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Article
Open AccessAuthor Correction: Deep learning for high-resolution and high-sensitivity interferometric phase contrast imaging
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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Chapter and Conference Paper
Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning
Facial appearance changes with the movements of bony segments in orthognathic surgery of patients with craniomaxillofacial (CMF) deformities. Conventional bio-mechanical methods, such as finite element modelin...
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Chapter and Conference Paper
A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning
Virtual orthognathic surgical planning involves simulating surgical corrections of jaw deformities on 3D facial bony shape models. Due to the lack of necessary guidance, the planning procedure is highly experi...
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Article
An automatic approach to establish clinically desired final dental occlusion for one-piece maxillary orthognathic surgery
One critical step in routine orthognathic surgery is to reestablish a desired final dental occlusion. Traditionally, the final occlusion is established by hand articulating stone dental models. To date, there ...
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Article
Open AccessDeep learning for high-resolution and high-sensitivity interferometric phase contrast imaging
In Talbot-Lau interferometry, the sample position yielding the highest phase sensitivity suffers from strong geometric blur. This trade-off between phase-sensitivity and spatial resolution is a fundamental cha...
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Chapter and Conference Paper
Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects
In this paper, we introduce a method for estimating patient-specific reference bony shape models for planning of reconstructive surgery for patients with acquired craniomaxillofacial (CMF) trauma. We propose a...
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Chapter and Conference Paper
An Automatic Approach to Reestablish Final Dental Occlusion for 1-Piece Maxillary Orthognathic Surgery
Accurately establishing a desired final dental occlusion of the upper and lower teeth is a critical step in orthognathic surgical planning. Traditionally, the final occlusion is established by hand-articulatin...
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Chapter and Conference Paper
A New Approach of Predicting Facial Changes Following Orthognathic Surgery Using Realistic Lip Sliding Effect
Accurate prediction of facial soft-tissue changes following orthognathic surgery is crucial for improving surgical outcome. However, the accuracy of current prediction methods still requires further improvemen...
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Article
Open AccessTraRECo: a greedy approach based de novo transcriptome assembler with read error correction using consensus matrix
The challenges when develo** a good de novo transcriptome assembler include how to deal with read errors and sequence repeats. Almost all de novo assemblers utilize a de Bruijn graph, with which complexity g...
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Article
An eFTD-VP framework for efficiently generating patient-specific anatomically detailed facial soft tissue FE mesh for craniomaxillofacial surgery simulation
Accurate surgical planning and prediction of craniomaxillofacial surgery outcome requires simulation of soft tissue changes following osteotomy. This can only be achieved by using an anatomically detailed faci...
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Article
Design, development and clinical validation of computer-aided surgical simulation system for streamlined orthognathic surgical planning
There are many proven problems associated with traditional surgical planning methods for orthognathic surgery. To address these problems, we developed a computer-aided surgical simulation (CASS) system, the An...
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Article
An eFace-Template Method for Efficiently Generating Patient-Specific Anatomically-Detailed Facial Soft Tissue FE Models for Craniomaxillofacial Surgery Simulation
Accurate surgical planning and prediction of craniomaxillofacial surgery outcome requires simulation of soft-tissue changes following osteotomy. This can only be accomplished on an anatomically-detailed facial...
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Chapter and Conference Paper
Two-Stage Simulation Method to Improve Facial Soft Tissue Prediction Accuracy for Orthognathic Surgery
It is clinically important to accurately predict facial soft tissue changes prior to orthognathic surgery. However, the current simulation methods are problematic, especially in clinically critical regions. We...
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Chapter and Conference Paper
FEM Simulation with Realistic Sliding Effect to Improve Facial-Soft-Tissue-Change Prediction Accuracy for Orthognathic Surgery
It is clinically important to accurately predict facial soft tissue changes following bone movements in orthognathic surgical planning. However, the current simulation methods are still problematic, especially...
