AIMC Topic: Head

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Comparison of active learning algorithms in classifying head computed tomography reports using bidirectional encoder representations from transformers.

International journal of computer assisted radiology and surgery Jan 8, 2025
PURPOSE: Systems equipped with natural language (NLP) processing can reduce missed radiological findings by physicians, but the annotation costs are burden in the development. This study aimed to compare the effects of active learning (AL) algorithms...
Tomography, X-Ray Computed Natural Language Processing Supervised Machine Learning Humans Algorithms Head Radiology Information Systems Problem-Based Learning
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Machine learning model to study the rugby head impact in a laboratory setting.

PloS one Jan 6, 2025
The incidence of head impacts in rugby has been a growing concern for player safety. While rugby headgear shows potential to mitigate head impact intensity during laboratory simulations, evaluating its on-field effectiveness is challenging. Current r...
Humans Machine Learning Female Football Head Craniocerebral Trauma Biomechanical Phenomena Male Adolescent
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OperaGAN: A simultaneous transfer network for opera makeup and complex headwear.

Neural networks : the official journal of the International Neural Network Society Dec 9, 2024
Standard makeup transfer techniques mainly focus on facial makeup. The texture details of headwear in style examples tend to be ignored. When dealing with complex portrait style transfer, simultaneous correct headwear and facial makeup transfer often...
Head Humans Neural Networks, Computer Algorithms Face
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Image-based Artificial Intelligence models in the diagnosis and classification of vascular anomalies of the soft tissue in the head and neck.

Computer methods and programs in biomedicine Nov 22, 2024
BACKGROUND: The International Society for the Study of Vascular Anomalies (ISSVA) provides a detailed classification system to facilitate accurate diagnosis and management of these conditions based on clinical criteria, imaging, and histopathological...
Humans Artificial Intelligence Neck Head Vascular Malformations
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Machine learning-based estimation of respiratory fluctuations in a healthy adult population using resting state BOLD fMRI and head motion parameters.

Magnetic resonance in medicine Oct 31, 2024
PURPOSE: External physiological monitoring is the primary approach to measure and remove effects of low-frequency respiratory variation from BOLD-fMRI signals. However, the acquisition of clean external respiratory data during fMRI is not always poss...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Motion Young Adult Adult Male Humans Respiration Neural Networks, Computer Connectome Machine Learning Head Movements Healthy Volunteers Rest Head Algorithms Brain Female
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Deep Learning Approaches for the Assessment of Germinal Matrix Hemorrhage Using Neonatal Head Ultrasound.

Sensors (Basel, Switzerland) Oct 31, 2024
Germinal matrix hemorrhage (GMH) is a critical condition affecting premature infants, commonly diagnosed through cranial ultrasound imaging. This study presents an advanced deep learning approach for automated GMH grading using the YOLOv8 model. By a...
Cerebral Hemorrhage Humans Male Head Female Deep Learning Infant, Premature Infant, Newborn Ultrasonography
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Brain-wide neural recordings in mice navigating physical spaces enabled by robotic neural recording headstages.

Nature methods Oct 7, 2024
Technologies that can record neural activity at cellular resolution at multiple spatial and temporal scales are typically much larger than the animals that are being recorded from and are thus limited to recording from head-fixed subjects. Here we ha...
Neurons Head Action Potentials Mice, Inbred C57BL Brain Animals Robotics Male Mice
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MUsculo-Skeleton-Aware (MUSA) deep learning for anatomically guided head-and-neck CT deformable registration.

Medical image analysis Sep 21, 2024
Deep-learning-based deformable image registration (DL-DIR) has demonstrated improved accuracy compared to time-consuming non-DL methods across various anatomical sites. However, DL-DIR is still challenging in heterogeneous tissue regions with large d...
Neck Head Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Humans
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Added value of artificial intelligence solutions for arterial stenosis detection on head and neck CT angiography: A randomized crossover multi-reader multi-case study.

Diagnostic and interventional imaging Sep 19, 2024
PURPOSE: The purpose of this study was to investigate the added value of artificial intelligence (AI) solutions for the detection of arterial stenosis (AS) on head and neck CT angiography (CTA).
Head Angiography, Digital Subtraction Computed Tomography Angiography Neck Constriction, Pathologic Humans Cross-Over Studies Sensitivity and Specificity Aged Male Artificial Intelligence Aged, 80 and over Middle Aged Retrospective Studies Adult Female
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ACSwinNet: A Deep Learning-Based Rigid Registration Method for Head-Neck CT-CBCT Images in Image-Guided Radiotherapy.

Sensors (Basel, Switzerland) Aug 22, 2024
Accurate and precise rigid registration between head-neck computed tomography (CT) and cone-beam computed tomography (CBCT) images is crucial for correcting setup errors in image-guided radiotherapy (IGRT) for head and neck tumors. However, conventio...
Tomography, X-Ray Computed Humans Image Processing, Computer-Assisted Head Head and Neck Neoplasms Deep Learning Algorithms Radiotherapy, Image-Guided Neck Cone-Beam Computed Tomography
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