AIMC Topic: Semantics

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Decoding of lexical items and grammatical features in EEG: A cross-linguistic study.

Neuropsychologia Apr 23, 2025
Diverse evidence supports the theory that bilingual language users have language-invariant representations of concepts and grammatical forms such as argument structure. Here we extend that work to test the representation of morphosyntactic features a...
Adult Male Electroencephalography Female Young Adult Linguistics Reading Psycholinguistics Semantics Humans Evoked Potentials Machine Learning Multilingualism Brain
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Multi-scale prototype convolutional network for few-shot semantic segmentation.

PloS one Apr 15, 2025
Few-shot semantic segmentation aims to accurately segment objects from a limited amount of annotated data, a task complicated by intra-class variations and prototype representation challenges. To address these issues, we propose the Multi-Scale Proto...
Algorithms Humans Semantics Neural Networks, Computer
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Crystal Structure Prediction Using a Self-Attention Neural Network and Semantic Segmentation.

Journal of chemical information and modeling Apr 14, 2025
The development of new materials is a time-consuming and resource-intensive process. Deep learning has emerged as a promising approach to accelerate this process. However, accurately predicting crystal structures using deep learning remains a signifi...
Deep Learning Semantics Neural Networks, Computer Models, Molecular Crystallography, X-Ray
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Semantic signals in self-reference: The detection and prediction of depressive symptoms from the daily diary entries of a sample with major depressive disorder.

Journal of psychopathology and clinical science Apr 10, 2025
Individuals with major depressive disorder (MDD) experience fewer positive and more negative emotions and use fewer positive words to describe themselves. Natural language processing techniques have been used to predict depression, with pronoun and e...
Humans Female Young Adult Self Concept Semantics Ecological Momentary Assessment Middle Aged Depressive Disorder, Major Natural Language Processing Adult Male
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Semantic-consistent diffusion model for unsupervised traumatic brain injury detection and segmentation from computed tomography images.

Medical physics Apr 9, 2025
BACKGROUND: Unsupervised traumatic brain injury (TBI) lesion detection aims to identify and segment abnormal regions, such as cerebral edema and hemorrhages, using only healthy training data. Recent advancements in generative models have achieved suc...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Brain Injuries, Traumatic Humans Unsupervised Machine Learning Diffusion Semantics
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A semantic segmentation model for automatic precise identification of pituitary microadenomas with preoperative MRI.

Neuroradiology Apr 4, 2025
PURPOSE: Magnetic resonance imaging (MRI) is an essential technique for diagnosing pituitary adenomas; however, it is also challenging for neurosurgeons to use it to precisely identify some types of microadenomas. A novel neural network model was dev...
Semantics Preoperative Care Aged Adult Male Humans Middle Aged Pituitary Neoplasms Neural Networks, Computer Contrast Media Adenoma Magnetic Resonance Imaging Female Image Interpretation, Computer-Assisted
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SFM-Net: Semantic Feature-Based Multi-Stage Network for Unsupervised Image Registration.

IEEE journal of biomedical and health informatics Apr 4, 2025
It is difficult for general registration methods to establish the fine correspondence between images with complex anatomical structures. To overcome the above problem, this work presents SFM-Net, an unsupervised multi-stage semantic feature-based net...
Brain Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Liver Humans Semantics Unsupervised Machine Learning Neural Networks, Computer Algorithms
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A Novel Hierarchical Cross-Stream Aggregation Neural Network for Semantic Segmentation of 3-D Dental Surface Models.

IEEE transactions on neural networks and learning systems Apr 4, 2025
Accurate teeth delineation on 3-D dental models is essential for individualized orthodontic treatment planning. Pioneering works like PointNet suggest a promising direction to conduct efficient and accurate 3-D dental model analyses in end-to-end lea...
Tooth Models, Dental Imaging, Three-Dimensional Semantics Humans Neural Networks, Computer Algorithms Deep Learning
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Label-Free Medical Image Quality Evaluation by Semantics-Aware Contrastive Learning in IoMT.

IEEE journal of biomedical and health informatics Apr 4, 2025
With the rapid development of the Internet-of-Medical-Things (IoMT) in recent years, it has emerged as a promising solution to alleviate the workload of medical staff, particularly in the field of Medical Image Quality Assessment (MIQA). By deploying...
Semantics Machine Learning Algorithms Databases, Factual Diagnostic Imaging Image Interpretation, Computer-Assisted Humans
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PASS: Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation.

IEEE transactions on medical imaging Apr 3, 2025
Test-time adaptation (TTA) has emerged as a promising paradigm to handle the domain shifts at test time for medical images from different institutions without using extra training data. However, existing TTA solutions for segmentation tasks suffer fr...
Image Processing, Computer-Assisted Algorithms Semantics Brain Humans Deep Learning
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