Work

A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning

Year: 2021

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-87202-1_45

Authors: Deqiang Xiao, Hannah H. Deng, Tianshu Kuang, Lei Ma, Qin Liu, Xu Chen, Chunfeng Lian, Yankun Lang, Daeseung Kim, Jaime Gateno, Steve Guofang Shen, Dinggang Shen, Pew-Thian Yap, James J. Xia

Institutions: University of North Carolina at Chapel Hill, Houston Methodist, Cornell University, Weill Cornell Medicine, Shanghai Jiao Tong University

Language: English

Topic: Orthodontics and Dentofacial Orthopedics

Subfield: Orthodontics

Field: Dentistry

Domain: Health Sciences

Open Access status: green

Funders: National Institutes of Health, National Institute of Dental and Craniofacial Research

Awards: A Novel Imaging Analysis Platform for Patients with Craniomaxillofacial Deformities, Learning-Based Approach for Personalized Craniomaxillofacial Surgical Planning, Outcome-Driven Approach to Minimize the Risks of Facial Distortion Following CMF Surgery

OpenAlex ID: W3201148191

FWCI: 12.92

Cites: 12

Cited by: 7

Related to: 10