AIMC Topic: Head

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Deep learning applied to EEG source-data reveals both ventral and dorsal visual stream involvement in holistic processing of social stimuli.

Scientific reports May 5, 2023
Perception of social stimuli (faces and bodies) relies on "holistic" (i.e., global) mechanisms, as supported by picture-plane inversion: perceiving inverted faces/bodies is harder than perceiving their upright counterpart. Albeit neuroimaging evidenc...
Orientation Face Head Photic Stimulation Pattern Recognition, Visual Brain Mapping Electroencephalography Deep Learning
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A comparative study of deep learning-based knowledge-based planning methods for 3D dose distribution prediction of head and neck.

Journal of applied clinical medical physics May 3, 2023
PURPOSE: In this paper, we compare four novel knowledge-based planning (KBP) algorithms using deep learning to predict three-dimensional (3D) dose distributions of head and neck plans using the same patients' dataset and quantitative assessment metri...
Deep Learning Neck Humans Head Radiotherapy Dosage Organs at Risk Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted
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Head and neck reconstruction in the vessel depleted neck using robot-assisted harvesting of the internal mammary vessels.

The British journal of oral & maxillofacial surgery Apr 25, 2023
We report a novel technique of robot-assisted harvesting of the internal mammary vessels to provide effective recipient vessels in a patient with bilateral vessel depleted neck (VDN). A 44-year-old with a Notani grade III osteoradionecrosis (ORN) of ...
Humans Adult Robotics Head Mandible Neck Free Tissue Flaps
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Robust deep learning object recognition models rely on low frequency information in natural images.

PLoS computational biology Mar 27, 2023
Machine learning models have difficulty generalizing to data outside of the distribution they were trained on. In particular, vision models are usually vulnerable to adversarial attacks or common corruptions, to which the human visual system is robus...
Deep Learning Head Visual Perception Neural Networks, Computer Machine Learning Humans
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DeeptDCS: Deep Learning-Based Estimation of Currents Induced During Transcranial Direct Current Stimulation.

IEEE transactions on bio-medical engineering Mar 21, 2023
OBJECTIVE: Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation technique used to generate conduction currents in the head and disrupt brain functions. To rapidly evaluate the tDCS-induced current density in near real-ti...
Head Transcranial Direct Current Stimulation Brain Deep Learning Electrodes
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Electromagnetic Wave Absorption in the Human Head: A Virtual Sensor Based on a Deep-Learning Model.

Sensors (Basel, Switzerland) Mar 15, 2023
Determining the amount of electromagnetic wave energy absorbed by the human body is an important issue in the analysis of wireless systems. Typically, numerical methods based on Maxwell's equations and numerical models of the body are used for this p...
Neural Networks, Computer Deep Learning Head Electromagnetic Fields Humans Electromagnetic Radiation
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Machine-learning-based head impact subtyping based on the spectral densities of the measurable head kinematics.

Journal of sport and health science Mar 13, 2023
BACKGROUND: Traumatic brain injury can be caused by head impacts, but many brain injury risk estimation models are not equally accurate across the variety of impacts that patients may undergo, and the characteristics of different types of impacts are...
Mouth Protectors Brain Injuries, Traumatic Head Humans Machine Learning Biomechanical Phenomena
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Bayesian inference in ring attractor networks.

Proceedings of the National Academy of Sciences of the United States of America Feb 22, 2023
Working memories are thought to be held in attractor networks in the brain. These attractors should keep track of the uncertainty associated with each memory, so as to weigh it properly against conflicting new evidence. However, conventional attracto...
Memory, Short-Term Head Neural Networks, Computer Models, Neurological Brain Bayes Theorem
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A Deep Learning Approach for Automated Bone Removal from Computed Tomography Angiography of the Brain.

Journal of digital imaging Feb 13, 2023
Advanced visualization techniques such as maximum intensity projection (MIP) and volume rendering (VR) are useful for evaluating neurovascular anatomy on CT angiography (CTA) of the brain; however, interference from surrounding osseous anatomy is com...
Computed Tomography Angiography Image Processing, Computer-Assisted Head Tomography, X-Ray Computed Humans Deep Learning Brain
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Deep-learning measurement of intracerebral haemorrhage with mixed precision training: a coarse-to-fine study.

Clinical radiology Jan 22, 2023
AIM: To develop a unified deep-learning-based method for automated intracerebral haemorrhage (ICH) segmentation on computed tomography (CT) images with different layer thickness parameters.
Cerebral Hemorrhage Deep Learning Humans Head Image Processing, Computer-Assisted Tomography, X-Ray Computed
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