AIMC Topic: Skull

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Sex estimation using skull silhouette images from postmortem computed tomography by deep learning.

Scientific reports Sep 30, 2024
Prompt personal identification is required during disasters that can result in many casualties. To rapidly estimate sex based on skull structure, this study applied deep learning using two-dimensional silhouette images, obtained from head postmortem ...
Skull Forensic Anthropology Postmortem Imaging Image Processing, Computer-Assisted Autopsy Sex Determination by Skeleton Middle Aged Deep Learning Tomography, X-Ray Computed Female Aged Humans Young Adult Adult Male
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Improving deep learning-based automatic cranial defect reconstruction by heavy data augmentation: From image registration to latent diffusion models.

Computers in biology and medicine Sep 11, 2024
Modeling and manufacturing of personalized cranial implants are important research areas that may decrease the waiting time for patients suffering from cranial damage. The modeling of personalized implants may be partially automated by the use of dee...
Skull Humans Deep Learning Image Processing, Computer-Assisted
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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 Humans Tomography, X-Ray Computed Motion Child Skull Magnetic Resonance Imaging Cranial Sutures Skull Fractures
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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 Male Female Child Skull Deep Learning Young Adult Image Processing, Computer-Assisted Adolescent Adult Magnetic Resonance Imaging
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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...
Surgery, Computer-Assisted Skull Surgery, Oral Precision Medicine Tomography, X-Ray Computed Imaging, Three-Dimensional Humans Neural Networks, Computer
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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...
Brain Animals Deep Learning Magnetic Resonance Imaging Image Processing, Computer-Assisted Skull Mice Rats
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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 Humans Skull Cone-Beam Computed Tomography Artificial Intelligence Access to Information
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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...
Radiography Skull Infant Deep Learning Image Processing, Computer-Assisted Female Humans Neural Networks, Computer Infant, Newborn Male
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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...
Shrews Machine Learning Principal Component Analysis Discriminant Analysis Animals Skull Support Vector Machine Malaysia
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