AIMC Topic: Head

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Research on Real-Time Face Key Point Detection Algorithm Based on Attention Mechanism.

Computational intelligence and neuroscience Jan 5, 2022
The existing face detection methods were affected by the network model structure used. Most of the face recognition methods had low recognition rate of face key point features due to many parameters and large amount of calculation. In order to improv...
Face Head Facial Recognition Neural Networks, Computer Algorithms
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A stroke detection and discrimination framework using broadband microwave scattering on stochastic models with deep learning.

Scientific reports Dec 20, 2021
Stroke poses an immense public health burden and remains among the primary causes of death and disability worldwide. Emergent therapy is often precluded by late or indeterminate times of onset before initial clinical presentation. Rapid, mobile, safe...
Humans Neural Networks, Computer Algorithms Normal Distribution Electromagnetic Fields Hemorrhagic Stroke Stochastic Processes Deep Learning Scattering, Radiation ROC Curve Head Reproducibility of Results Area Under Curve Microwaves Brain Diagnosis, Computer-Assisted Computer Simulation
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Face Manipulation Detection Based on Supervised Multi-Feature Fusion Attention Network.

Sensors (Basel, Switzerland) Dec 8, 2021
Nowadays, faces in videos can be easily replaced with the development of deep learning, and these manipulated videos are realistic and cannot be distinguished by human eyes. Some people maliciously use the technology to attack others, especially cele...
Humans Neural Networks, Computer Head
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Estimating Effective Connectivity by Recurrent Generative Adversarial Networks.

IEEE transactions on medical imaging Nov 30, 2021
Estimating effective connectivity from functional magnetic resonance imaging (fMRI) time series data has become a very hot topic in neuroinformatics and brain informatics. However, it is hard for the current methods to accurately estimate the effecti...
Magnetic Resonance Imaging Head Brain Image Processing, Computer-Assisted Neural Networks, Computer
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Rapid Estimation of Entire Brain Strain Using Deep Learning Models.

IEEE transactions on bio-medical engineering Oct 19, 2021
OBJECTIVE: Many recent studies suggest that brain deformation resulting from head impacts are linked to the corresponding clinical outcome, such as mild traumatic brain injury (mTBI). Even if several finite element (FE) head models have been develope...
Deep Learning Football Finite Element Analysis Head Brain Biomechanical Phenomena Humans
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Validation of an artificial intelligence solution for acute triage and rule-out normal of non-contrast CT head scans.

Neuroradiology Oct 8, 2021
PURPOSE: Non-contrast CT head scans provide rapid and accurate diagnosis of acute head injury; however, increased utilisation of CT head scans makes it difficult to prioritise acutely unwell patients and places pressure on busy emergency departments ...
Head Humans Artificial Intelligence Tomography, X-Ray Computed Triage Algorithms
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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...
Child, Preschool Child Mobile Applications Cephalometry Smartphone Severity of Illness Index Deep Learning Humans Infant Head Skull Plagiocephaly, Nonsynostotic Data Accuracy Monitoring, Ambulatory
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Efficacy of a deep leaning model created with the transfer learning method in detecting sialoliths of the submandibular gland on panoramic radiography.

Oral surgery, oral medicine, oral pathology and oral radiology Aug 21, 2021
OBJECTIVE: This study aimed to compare the performance of 3 deep learning models, including a model constructed with the transfer learning method, in detecting submandibular gland sialoliths on panoramic radiographs.
Humans Head Salivary Gland Calculi Submandibular Gland Deep Learning Radiography, Panoramic
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Anthropometric Landmark Detection in 3D Head Surfaces Using a Deep Learning Approach.

IEEE journal of biomedical and health informatics Jul 27, 2021
Landmark labeling in 3D head surfaces is an important and routine task in clinical practice to evaluate head shape, namely to analyze cranial deformities or growth evolution. However, manual labeling is still applied, being a tedious and time-consumi...
Head Imaging, Three-Dimensional Anthropometry Humans Deep Learning
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[Robotics in otorhinolaryngology, head and neck surgery].

HNO Jul 16, 2021
In many surgical specialities, e.g., visceral surgery or urology, the use of robotic assistance is widely regarded as standard for many interventions. By contrast, in European otorhinolaryngology, robotic-assisted surgery (RAS) is rarely conducted. T...
Robotic Surgical Procedures Head Otolaryngology Neck Robotics Humans Head and Neck Neoplasms
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