AIMC Topic: Skull

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MR Cranial Bone Imaging: Evaluation of Both Motion-Corrected and Automated Deep Learning Pseudo-CT Estimated MR Images.

AJNR. American journal of neuroradiology Sep 9, 2024
BACKGROUND AND PURPOSE: CT imaging exposes patients to ionizing radiation. MR imaging is radiation free but previously has not been able to produce diagnostic-quality images of bone on a timeline suitable for clinical use. We developed automated moti...
Deep Learning Adolescent Child, Preschool Female Sensitivity and Specificity Male Motion Skull Cranial Sutures Child Magnetic Resonance Imaging Skull Fractures Humans Tomography, X-Ray Computed
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Automatic point detection on cephalograms using convolutional neural networks: A two-step method.

Dental materials journal Sep 4, 2024
This project aimed to develop an artificial intelligence program tailored for cephalometric images. The program employs a convolutional neural network with 6 convolutional layers and 2 affine layers. It identifies 18 key points on the skull to comput...
Artificial Intelligence Image Processing, Computer-Assisted Anatomic Landmarks Humans Neural Networks, Computer Cephalometry Skull
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Three contrasts in 3 min: Rapid, high-resolution, and bone-selective UTE MRI for craniofacial imaging with automated deep-learning skull segmentation.

Magnetic resonance in medicine Sep 1, 2024
PURPOSE: Ultrashort echo time (UTE) MRI can be a radiation-free alternative to CT for craniofacial imaging of pediatric patients. However, unlike CT, bone-specific MR imaging is limited by long scan times, relatively low spatial resolution, and a tim...
Algorithms Brain Tomography, X-Ray Computed Humans Child Image Processing, Computer-Assisted Magnetic Resonance Imaging Skull Male Female Young Adult Deep Learning Adult Adolescent
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Neural shape completion for personalized Maxillofacial surgery.

Scientific reports Aug 27, 2024
In this paper, we investigate the effectiveness of shape completion neural networks as clinical aids in maxillofacial surgery planning. We present a pipeline to apply shape completion networks to automatically reconstruct complete eumorphic 3D meshes...
Skull Surgery, Oral Imaging, Three-Dimensional Surgery, Computer-Assisted Humans Neural Networks, Computer Precision Medicine Tomography, X-Ray Computed
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RS-Net: An end-to-end deep learning framework for rodent skull stripping in multi-center brain MRI.

NeuroImage Aug 8, 2024
Skull stripping is a crucial preprocessing step in magnetic resonance imaging (MRI), where experts manually create brain masks. This labor-intensive process heavily relies on the annotator's expertise, as automation faces challenges such as low tissu...
Skull Animals Deep Learning Image Processing, Computer-Assisted Mice Rats Magnetic Resonance Imaging Brain
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Open Access Databases of Craniofacial Cone Beam Computed Tomography Scans are Vital for Advancements in Artificial Intelligence.

International dental journal Jul 18, 2024
Databases, Factual Skull Cone-Beam Computed Tomography Access to Information Humans Artificial Intelligence
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Estimating infant age from skull X-ray images using deep learning.

Scientific reports Jul 18, 2024
This study constructed deep learning models using plain skull radiograph images to predict the accurate postnatal age of infants under 12 months. Utilizing the results of the trained deep learning models, it aimed to evaluate the feasibility of emplo...
Male Infant Deep Learning Image Processing, Computer-Assisted Radiography Skull Neural Networks, Computer Female Infant, Newborn Humans
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Functional data geometric morphometrics with machine learning for craniodental shape classification in shrews.

Scientific reports Jul 6, 2024
This work proposes a functional data analysis approach for morphometrics in classifying three shrew species (S. murinus, C. monticola, and C. malayana) from Peninsular Malaysia. Functional data geometric morphometrics (FDGM) for 2D landmark data is i...
Skull Shrews Malaysia Principal Component Analysis Discriminant Analysis Machine Learning Animals Support Vector Machine
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Sex classification of 3D skull images using deep neural networks.

Scientific reports Jun 14, 2024
Determining the fundamental characteristics that define a face as "feminine" or "masculine" has long fascinated anatomists and plastic surgeons, particularly those involved in aesthetic and gender-affirming surgery. Previous studies in this area have...
Imaging, Three-Dimensional Humans Image Processing, Computer-Assisted Neural Networks, Computer Sex Characteristics Adult Skull Retrospective Studies Male Female Deep Learning
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Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model.

Journal of medical systems May 23, 2024
Designing implants for large and complex cranial defects is a challenging task, even for professional designers. Current efforts on automating the design process focused mainly on convolutional neural networks (CNN), which have produced state-of-the-...
Prostheses and Implants Skull Image Processing, Computer-Assisted Humans Models, Statistical Neural Networks, Computer Plastic Surgery Procedures
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