Machine learning for rapid estimation of lower extremity muscle and joint loading during activities of daily living
Joint contact and muscle forces estimated with musculoskeletal modeling techniques offer
useful metrics describing movement quality that benefit multiple research and clinical …
useful metrics describing movement quality that benefit multiple research and clinical …
Application of statistical shape models in orthopedics: a narrative review
X Cai, Y Wu, J Huang, L Wang, Y Xu, S Lu - Intelligent Medicine, 2024 - mednexus.org
Statistical shape models (SSMs) are effective for image processing and analysis and have
been used in various medical fields, including face recognition and cranial bone recognition …
been used in various medical fields, including face recognition and cranial bone recognition …
Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks
Background and objective Segmentation is a crucial step in multiple biomechanics and
orthopedics applications. The time-intensiveness and expertise requirements of medical …
orthopedics applications. The time-intensiveness and expertise requirements of medical …
Tibial-fibular geometry and density variations associated with elevated bone strain and sex disparities in young active adults
Tibial stress fracture is a common injury in runners and military personnel. Elevated bone
strain is believed to be associated with the development of stress fractures and is influenced …
strain is believed to be associated with the development of stress fractures and is influenced …
Automatic tracking of healthy joint kinematics from stereo-radiography sequences
Kinematic tracking of healthy joints in radiography sequences is frequently performed by
maximizing similarities between computed perspective projections of 3D computer models …
maximizing similarities between computed perspective projections of 3D computer models …
Glenohumeral joint reconstruction using statistical shape modeling
Y Huang, DL Robinson, J Pitocchi, PVS Lee… - … and Modeling in …, 2022 - Springer
Abstract Evaluation of the bony anatomy of the glenohumeral joint is frequently required for
surgical planning and subject-specific computational modeling and simulation. The three …
surgical planning and subject-specific computational modeling and simulation. The three …
One size may not fit all: Patient-specific computational optimization of locking plates for improved proximal humerus fracture fixation
Background Optimal treatment options for proximal humerus fractures (PHFs) are still
debated because of persisting high fixation failure rates experienced with locking plates …
debated because of persisting high fixation failure rates experienced with locking plates …
Assessment of scapular morphology and bone quality with statistical models
The design of total shoulder arthroplasty implants are guided by anatomy. The objective of
this study was to develop statistical models to quantify shape and material property variation …
this study was to develop statistical models to quantify shape and material property variation …
Prediction of the Proximal Humerus Morphology Based on a Statistical Shape Model with Two Parameters: Comparison to Contralateral Registration Method
(1) Background: Complex proximal humerus fractures often result in complications following
surgical treatment. A better understanding of the full 3D displacement would provide insight …
surgical treatment. A better understanding of the full 3D displacement would provide insight …
Geometric variation of the human tibia-fibula: a public dataset of tibia-fibula surface meshes and statistical shape model
Background Variation in tibia geometry is a risk factor for tibial stress fractures. Geometric
variability in bones is often quantified using statistical shape modelling. Statistical shape …
variability in bones is often quantified using statistical shape modelling. Statistical shape …