A machine learning framework for automated diagnosis and computer-assisted planning in plastic and reconstructive surgery

PGM Knoops, A Papaioannou, A Borghi… - Scientific reports, 2019 - nature.com
Current computational tools for planning and simulation in plastic and reconstructive surgery
lack sufficient precision and are time-consuming, thus resulting in limited adoption. Although …

Simulation of postoperative facial appearances via geometric deep learning for efficient orthognathic surgical planning

L Ma, D Xiao, D Kim, C Lian, T Kuang… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Orthognathic surgery corrects jaw deformities to improve aesthetics and functions. Due to
the complexity of the craniomaxillofacial (CMF) anatomy, orthognathic surgery requires …

Virtual model surgery for efficient planning and surgical performance

SU McCormick, SJ Drew - Journal of oral and maxillofacial surgery, 2011 - joms.org
Outpatient surgery has revolutionized health care. From minimally invasive surgical
approaches to the continued refinement of general anesthesia, same-day surgery is …

Estimating reference bony shape models for orthognathic surgical planning using 3D point-cloud deep learning

D Xiao, C Lian, H Deng, T Kuang, Q Liu… - IEEE journal of …, 2021 - ieeexplore.ieee.org
Orthognathic surgical outcomes rely heavily on the quality of surgical planning. Automatic
estimation of a reference facial bone shape significantly reduces experience-dependent …

Three-dimensional virtual-reality surgical planning and soft-tissue prediction for orthognathic surgery

J Xia, HHS Ip, N Samman, HTF Wong… - IEEE transactions on …, 2001 - ieeexplore.ieee.org
Complex maxillofacial malformations continue to present challenges in analysis and
correction beyond modern technology. The purpose of this paper is to present a virtual …

Applied deep learning in plastic surgery: classifying rhinoplasty with a mobile app

E Borsting, R DeSimone, M Ascha… - Journal of Craniofacial …, 2020 - journals.lww.com
Background: Advances in deep learning (DL) have been transformative in computer vision
and natural language processing, as well as in healthcare. The authors present a novel …

Artificial intelligence applications and ethical challenges in oral and maxillo-facial cosmetic surgery: a narrative review

R Rokhshad, SO Keyhan, P Yousefi - Maxillofacial Plastic and …, 2023 - Springer
Artificial intelligence (AI) refers to using technologies to simulate human cognition to solve a
specific problem. The rapid development of AI in the health sector has been attributed to the …

Three-dimensional virtual planning in orthognathic surgery enhances the accuracy of soft tissue prediction

G Van Hemelen, M Van Genechten, L Renier… - Journal of Cranio …, 2015 - Elsevier
Introduction Throughout the history of computing, shortening the gap between the physical
and digital world behind the screen has always been strived for. Recent advances in three …

Mesoscopic facial geometry inference using deep neural networks

L Huynh, W Chen, S Saito, J Xing… - Proceedings of the …, 2018 - openaccess.thecvf.com
We present a learning-based approach for synthesizing facial geometry at medium and fine
scales from diffusely-lit facial texture maps. When applied to an image sequence, the …

Predicting soft tissue deformations for a maxillofacial surgery planning system: from computational strategies to a complete clinical validation

W Mollemans, F Schutyser, N Nadjmi, F Maes… - Medical image …, 2007 - Elsevier
In the field of maxillofacial surgery, there is a huge demand from surgeons to be able to pre-
operatively predict the new facial outlook after surgery. Besides the big interest for the …