Mengjia Cheng

PhysSFI-Net: physics-informed geometric learning of skeletal and facial interactions for orthognathic surgical outcome prediction

Jiahao Bao, Huazhen Liu, Yu Zhuang, Leran Tao et autres

Orthognathic surgery repositions jaw bones to restore occlusion and enhance facial aesthetics. Accurate simulation of postoperative facial morphology is essential for preoperative planning. This study aims to develop and validate a physics-informed geometric deep learning framework named PhysSFI-Net for precise prediction of …

cn, hk (code pays fourni par la source)

PhysSFI-Net: Physics-informed Geometric Learning of Skeletal and Facial Interactions for Orthognathic Surgical Outcome Prediction

Jiahao Bao, Huazhen Liu, Yu Zhuang, Leran Tao et autres

Orthognathic surgery repositions jaw bones to restore occlusion and enhance facial aesthetics. Accurate simulation of postoperative facial morphology is essential for preoperative planning. This study aims to develop and validate a physics-informed geometric deep learning framework named PhysSFI-Net for precise prediction of …

cn, hk (code pays fourni par la source)

Ortho-OPD: An Automatic Osteotomy Planes Design Model for Orthognathic Surgery Based on Deep Learning

Yimin Wang, Xiangmin Li, Yang Yang, Mengjia Cheng et autres

Orthognathic surgery is applied to restore esthetical facial profile and functional occlusion for patients with dentofacial deformity. Virtual surgical planning (VSP) is indispensable for precise and individualized treatment. Manually designing osteotomy planes is time-consuming and highly experience-dependent. This study aimed to develop …

cn, hk, il (code pays fourni par la source)

Deep ensemble learning-driven fully automated multi-structure segmentation for precision craniomaxillofacial surgery

Jiahao Bao, Zongcai Tan, Yifeng Sun, Xinyu Xu et autres

Objectives: Accurate segmentation of craniomaxillofacial (CMF) structures and individual teeth is essential for advancing computer-assisted CMF surgery. This study developed CMF-ELSeg, a novel fully automatic multi-structure segmentation model based on deep ensemble learning. Methods: A total of 143 CMF computed tomography (CT) …

cn, gb, hk (code pays fourni par la source)

Evaluate the Feasibility of Generative Designed Patient-Specific Implants for Orthognathic Surgery: An In-Vitro Comparative Study

Mengjia Cheng, Ankit Nayak, Yiu Yan Leung

hk, in (code pays fourni par la source)

Craniomaxillofacial landmarks detection in CT scans with limited labeled data via semi-supervised learning

Leran Tao, Xu Zhang, Yang Yang, Mengjia Cheng et autres

Background: Three-dimensional cephalometric analysis is crucial in craniomaxillofacial assessment, with landmarks detection in craniomaxillofacial (CMF) CT scans being a key component. However, creating robust deep learning models for this task typically requires extensive CMF CT datasets annotated by experienced medical professionals, a …

cn (code pays fourni par la source)

Elucidating the association of obstructive sleep apnea with brain structure and cognitive performance

Jiahao Bao, Zhiyang Zhao, Shanmei Qin, Mengjia Cheng et autres

BACKGROUND: Obstructive sleep apnea (OSA) is a pervasive, chronic sleep-related respiratory condition that causes brain structural alterations and cognitive impairments. However, the causal association of OSA with brain morphology and cognitive performance has not been determined. METHODS: We conducted a two-sample bidirectional …

cn, hk, us (code pays fourni par la source)

Automatic craniomaxillofacial landmarks detection in CT images of individuals with dentomaxillofacial deformities by a two-stage deep learning model

Leran Tao, Meng Li, Xu Zhang, Mengjia Cheng et autres

BACKGROUND: Accurate cephalometric analysis plays a vital role in the diagnosis and subsequent surgical planning in orthognathic and orthodontics treatment. However, manual digitization of anatomical landmarks in computed tomography (CT) is subject to limitations such as low accuracy, poor repeatability and excessive …

cn, us (code pays fourni par la source)

Prediction of orthognathic surgery plan from 3D cephalometric analysis via deep learning

Mengjia Cheng, Xu Zhang, Jun Wang, Yang Yang et autres

BACKGROUND: Preoperative planning of orthognathic surgery is indispensable for achieving ideal surgical outcome regarding the occlusion and jaws' position. However, orthognathic surgery planning is sophisticated and highly experience-dependent, which requires comprehensive consideration of facial morphology and occlusal function. This study aimed to …

cn, mo, us (code pays fourni par la source)

Characterize Skeletal Malocclusion and Make Treatment Decisions via a 3D Geometric Features Extraction Enhanced Neural Network

Xu Zhang, Mengjia Cheng, Yang Yang, Jun Wang et autres

cn, bd, mo (code pays fourni par la source)

A virtual surgical prototype system based on gesture recognition for virtual surgical training in maxillofacial surgery

Hanjiang Zhao, Mengjia Cheng, Jing‐Yang Huang, Meng Li et autres

BACKGROUND: Virtual reality (VR) technology is an ideal alternative of operation training and surgical teaching. However, virtual surgery is usually carried out using the mouse or data gloves, which affects the authenticity of virtual operation. A virtual surgery system with gesture recognition …

cn, us (code pays fourni par la source)

Small extracellular vesicles derived from hypoxic mesenchymal stem cells promote vascularized bone regeneration through the miR-210-3p/EFNA3/PI3K pathway

Yu Zhuang, Mengjia Cheng, Meng Li, Jinjie Cui et autres

Angiogenesis is closely coupled with osteogenesis and has equal importance. Thus, promoting angiogenesis during the bone repair process is vital for ideal bone regeneration. As important mediators of cell-cell communication and biological homeostasis, mesenchymal stem cell-derived small extracellular vesicles (MSC-sEVs) have been …

cn (code pays fourni par la source)