AIMC Topic: Skull

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Automatic detection and monitoring of abnormal skull shape in children with deformational plagiocephaly using deep learning.

Scientific reports Sep 9, 2021
Craniofacial anomaly including deformational plagiocephaly as a result of deformities in head and facial bones evolution is a serious health problem in newbies. The impact of such condition on the affected infants is profound from both medical and so...
Severity of Illness Index Deep Learning Child, Preschool Child Humans Infant Monitoring, Ambulatory Head Skull Plagiocephaly, Nonsynostotic Smartphone Mobile Applications Cephalometry Data Accuracy
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Deep learning for cranioplasty in clinical practice: Going from synthetic to real patient data.

Computers in biology and medicine Aug 14, 2021
Correct virtual reconstruction of a defective skull is a prerequisite for successful cranioplasty and its automatization has the potential for accelerating and standardizing the clinical workflow. This work provides a deep learning-based method for t...
Skull Humans Deep Learning Plastic Surgery Procedures Prostheses and Implants
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Artificial intelligence-enabled automatic segmentation of skull CT facilitates computer-assisted craniomaxillofacial surgery.

Oral oncology May 24, 2021
BACKGROUND: The image segmentation of skull CT is the cornerstone for the computer-assisted craniomaxillofacial surgery in multiple aspects. This study aims to introduce an AI-enabled automatic segmentation and propose its prospect in facilitating th...
Image Processing, Computer-Assisted Surgery, Computer-Assisted Skull Humans Artificial Intelligence Tomography, X-Ray Computed
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Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases.

NeuroImage Jan 14, 2021
Skull-stripping and region segmentation are fundamental steps in preclinical magnetic resonance imaging (MRI) studies, and these common procedures are usually performed manually. We present Multi-task U-Net (MU-Net), a convolutional neural network de...
Mice Magnetic Resonance Imaging Mice, Inbred C57BL Skull Animals Male Neural Networks, Computer Image Processing, Computer-Assisted Databases, Factual Brain Female
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Automated Lateral Ventricular and Cranial Vault Volume Measurements in 13,851 Patients Using Deep Learning Algorithms.

World neurosurgery Jan 6, 2021
BACKGROUND: No large dataset-derived standard has been established for normal or pathologic human cerebral ventricular and cranial vault volumes. Automated volumetric measurements could be used to assist in diagnosis and follow-up of hydrocephalus or...
Cross-Sectional Studies Male Middle Aged Deep Learning Aged, 80 and over Young Adult Adult Cephalometry Hydrocephalus Models, Biological Datasets as Topic Adolescent Child, Preschool Child Natural Language Processing Humans Algorithms Brain Retrospective Studies Tomography, X-Ray Computed Female Aged Lateral Ventricles Neuroimaging Skull Atrophy
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Machine learning approaches for sex estimation using cranial measurements.

International journal of legal medicine Nov 11, 2020
The aim of the present study is to apply support vector machines (SVM) and artificial neural network (ANN) as sex classifiers and to generate useful classification models for sex estimation based on cranial measurements. Besides, the performance of t...
Humans Neural Networks, Computer Female Reproducibility of Results Aged Datasets as Topic Aged, 80 and over Adult Logistic Models Sex Determination by Skeleton Support Vector Machine Skull Anatomic Landmarks Bulgaria Male Cephalometry Middle Aged Adolescent
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A node-based informed modularity strategy to identify organizational modules in anatomical networks.

Biology open Oct 19, 2020
The study of morphological modularity using anatomical networks is growing in recent years. A common strategy to find the best network partition uses community detection algorithms that optimize the modularity Q function. Because anatomical networks ...
Neural Networks, Computer Algorithms Skull Models, Anatomic Humans
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3D Deep Neural Network Segmentation of Intracerebral Hemorrhage: Development and Validation for Clinical Trials.

Neuroinformatics Sep 27, 2020
Intracranial hemorrhage (ICH) occurs when a blood vessel ruptures in the brain. This leads to significant morbidity and mortality, the likelihood of which is predicated on the size of the bleeding event. X-ray computed tomography (CT) scans allow cli...
Cerebral Hemorrhage Skull Brain Humans Tomography, X-Ray Computed Neural Networks, Computer Image Processing, Computer-Assisted
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Image denoising by transfer learning of generative adversarial network for dental CT.

Biomedical physics & engineering express Sep 8, 2020
The successful development of the image denoising techniques for low-dose computed tomography (LDCT) was largely owing to the public-domain availability of spatially-aligned high- and low-dose CT image pairs. Even though low-dose CT scans are also hi...
Radiation Dosage Tomography, X-Ray Computed Signal-To-Noise Ratio Humans Phantoms, Imaging Adult Algorithms Skull Deep Learning Radiography, Dental Databases, Factual Image Processing, Computer-Assisted
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Transcranial MR Imaging-Guided Focused Ultrasound Interventions Using Deep Learning Synthesized CT.

AJNR. American journal of neuroradiology Sep 3, 2020
BACKGROUND AND PURPOSE: Transcranial MR imaging-guided focused ultrasound is a promising novel technique to treat multiple disorders and diseases. Planning for transcranial MR imaging-guided focused ultrasound requires both a CT scan for skull densit...
Skull Ultrasonography, Doppler, Transcranial Middle Aged Humans Tomography, X-Ray Computed Deep Learning Computer Simulation Female Magnetic Resonance Imaging Aged Neuroimaging
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