[HTML][HTML] Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion

L Alzubaidi, ALD Khamael, A Salhi, Z Alammar… - Artificial Intelligence in …, 2024‏ - Elsevier
Deep learning (DL) in orthopaedics has gained significant attention in recent years.
Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks …

Ghmm: Learning generative hybrid mixture models for generalized point set registration in computer-assisted orthopedic surgery

Z Zhang, A Zhang, J Lai, H Ren, R Song… - … on Medical Robotics …, 2024‏ - ieeexplore.ieee.org
In computer-assisted orthopedic surgery (CAOS), the overlay of pre-operative information
onto the surgical scene is achieved through the registration of pre-operative 3D models with …

3D surgical instrument collection for computer vision and extended reality

G Luijten, C Gsaxner, J Li, A Pepe, N Ambigapathy… - Scientific Data, 2023‏ - nature.com
The availability of computational hardware and developments in (medical) machine learning
(MML) increases medical mixed realities'(MMR) clinical usability. Medical instruments have …

SADIR: shape-aware diffusion models for 3D image reconstruction

N Jayakumar, T Hossain, M Zhang - International workshop on shape in …, 2023‏ - Springer
Abstract 3D image reconstruction from a limited number of 2D images has been a long-
standing challenge in computer vision and image analysis. While deep learning-based …

Sex classification of 3D skull images using deep neural networks

L Noel, SC Fat, JL Causey, W Dong, J Stubblefield… - Scientific Reports, 2024‏ - nature.com
Determining the fundamental characteristics that define a face as" feminine" or" masculine"
has long fascinated anatomists and plastic surgeons, particularly those involved in aesthetic …

Soft tissue material properties based on human abdominal in vivo macro-indenter measurements

R Remus, C Sure, S Selkmann, E Uttich… - … in Bioengineering and …, 2024‏ - frontiersin.org
Simulations of human-technology interaction in the context of product development require
comprehensive knowledge of biomechanical in vivo behavior. To obtain this knowledge for …

Anatomy completor: A multi-class completion framework for 3D anatomy reconstruction

J Li, A Pepe, G Luijten, C Schwarz-Gsaxner… - … workshop on shape in …, 2023‏ - Springer
In this paper, we introduce a completion framework to reconstruct the geometric shapes of
various anatomies, including organs, vessels and muscles. Our work targets a scenario …

GERA: Geometric Embedding for Efficient Point Registration Analysis

G Li, H Cao, M Liu, S Yuan, J Yang - arxiv preprint arxiv:2410.00589, 2024‏ - arxiv.org
Point cloud registration aims to provide estimated transformations to align point clouds,
which plays a crucial role in pose estimation of various navigation systems, such as surgical …

CraNeXt: Automatic Reconstruction of Skull Implants With Skull Categorization Technique

T Kesornsri, N Asawalertsak, N Tantisereepatana… - IEEE …, 2024‏ - ieeexplore.ieee.org
Automatic cranial implant design aims to design a patient-specific implant where various
machine-learning-based skull reconstruction techniques have been introduced to predict the …

A Novel Deep Neural Network for Identification of Sex and Ethnicity based on Unknown Skulls

H Zhang, Q Li, X Wang, Q Wu, C Ma, M Zhou… - Pattern Recognition, 2025‏ - Elsevier
The determination of the sex and ethnicity is crucial in the identification of unknown human
remains in biology and forensic science. The components of these two biological traits can …