AIMC Topic: Head

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Using neural networks to extend cropped medical images for deformable registration among images with differing scan extents.

Medical physics Jul 11, 2021
PURPOSE: Missing or discrepant imaging volume is a common challenge in deformable image registration (DIR). To minimize the adverse impact, we train a neural network to synthesize cropped portions of head and neck CT's and then test its use in DIR.
Humans Image Processing, Computer-Assisted Neck Head Neural Networks, Computer Algorithms Imaging, Three-Dimensional
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Automatic fetal biometry prediction using a novel deep convolutional network architecture.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jul 6, 2021
PURPOSE: Fetal biometric measurements face a number of challenges, including the presence of speckle, limited soft-tissue contrast and difficulties in the presence of low amniotic fluid. This work proposes a convolutional neural network for automatic...
Head Biometry Ultrasonography Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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A review of deep learning based methods for medical image multi-organ segmentation.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) May 13, 2021
Deep learning has revolutionized image processing and achieved the-state-of-art performance in many medical image segmentation tasks. Many deep learning-based methods have been published to segment different parts of the body for different medical ap...
Organs at Risk Head Deep Learning Image Processing, Computer-Assisted Humans Head and Neck Neoplasms
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Automated EEG pathology detection based on different convolutional neural network models: Deep learning approach.

Computers in biology and medicine Apr 25, 2021
The brain electrical activity, recorded and materialized as electroencephalogram (EEG) signals, is known to be very useful in the diagnosis of brain-related pathology. However, manual examination of these EEG signals has various limitations, includin...
Deep Learning Support Vector Machine Electroencephalography Humans Neural Networks, Computer Head
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Calibrated uncertainty estimation for interpretable proton computed tomography image correction using Bayesian deep learning.

Physics in medicine and biology Mar 16, 2021
Integrated-type proton computed tomography (pCT) measures proton stopping power ratio (SPR) images for proton therapy treatment planning, but its image quality is degraded due to noise and scatter. Although several correction methods have been propos...
Phantoms, Imaging Proton Therapy Uncertainty Calibration Monte Carlo Method Protons Deep Learning Image Processing, Computer-Assisted Head and Neck Neoplasms Bayes Theorem Head Algorithms Tomography, X-Ray Computed Reproducibility of Results Humans Neural Networks, Computer
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FASHE: A FrActal Based Strategy for Head Pose Estimation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 25, 2021
Head pose estimation (HPE) represents a topic central to many relevant research fields and characterized by a wide application range. In particular, HPE performed using a singular RGB frame is particular suitable to be applied at best-frame-selection...
Image Processing, Computer-Assisted Humans Algorithms Face Video Recording Female Machine Learning Head Male Fractals
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An evaluation of MR based deep learning auto-contouring for planning head and neck radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Feb 24, 2021
INTRODUCTION: Auto contouring models help consistently define volumes and reduce clinical workload. This study aimed to evaluate the cross acquisition of a Magnetic Resonance (MR) deep learning auto contouring model for organ at risk (OAR) delineatio...
Humans Deep Learning Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted Head Magnetic Resonance Spectroscopy
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Head motion classification using thread-based sensor and machine learning algorithm.

Scientific reports Jan 29, 2021
Human machine interfaces that can track head motion will result in advances in physical rehabilitation, improved augmented reality/virtual reality systems, and aid in the study of human behavior. This paper presents a head position monitoring and cla...
Biomechanical Phenomena Support Vector Machine Movement Head Humans Wireless Technology Software
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Review of deep learning algorithms for the automatic detection of intracranial hemorrhages on computed tomography head imaging.

Journal of neurointerventional surgery Jan 21, 2021
Artificial intelligence is a rapidly evolving field, with modern technological advances and the growth of electronic health data opening new possibilities in diagnostic radiology. In recent years, the performance of deep learning (DL) algorithms on v...
Humans Artificial Intelligence Algorithms Tomography, X-Ray Computed Head Deep Learning Neuroimaging Radiography Intracranial Hemorrhages
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A deep learning based framework for the registration of three dimensional multi-modal medical images of the head.

Scientific reports Jan 21, 2021
Image registration is a fundamental task in image analysis in which the transform that moves the coordinate system of one image to another is calculated. Registration of multi-modal medical images has important implications for clinical diagnosis, tr...
Head Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Reproducibility of Results Deep Learning Algorithms Humans Databases, Factual Tomography, X-Ray Computed
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