AIMC Topic: Semantics

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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...
Humans Unsupervised Machine Learning Tomography, X-Ray Computed Diffusion Semantics Image Processing, Computer-Assisted Brain Injuries, Traumatic
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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 Humans Preoperative Care Neural Networks, Computer Adult Contrast Media Adenoma Male Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Middle Aged Female Pituitary Neoplasms Aged
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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...
Unsupervised Machine Learning Semantics Brain Deep Learning Magnetic Resonance Imaging Liver Image Processing, Computer-Assisted Humans 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...
Humans Neural Networks, Computer Imaging, Three-Dimensional Algorithms Models, Dental Semantics Deep Learning Tooth
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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 Humans Diagnostic Imaging Algorithms Image Interpretation, Computer-Assisted Machine Learning Databases, Factual
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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...
Humans Algorithms Brain Semantics Deep Learning Image Processing, Computer-Assisted
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Semantic Clinical Artificial Intelligence vs Native Large Language Model Performance on the USMLE.

JAMA network open Apr 1, 2025
IMPORTANCE: Large language models (LLMs) are being implemented in health care. Enhanced accuracy and methods to maintain accuracy over time are needed to maximize LLM benefits.
Large Language Models Humans Licensure, Medical Educational Measurement Comparative Effectiveness Research Artificial Intelligence United States Semantics Language
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SS-DTI: A deep learning method integrating semantic and structural information for drug-target interaction prediction.

Journal of bioinformatics and computational biology Mar 25, 2025
Drug-target interaction (DTI) prediction is pivotal in drug discovery and repurposing, providing a more efficient alternative to traditional wet-lab experiments by saving time and resources and expediting the identification of potential targets. Curr...
Pharmaceutical Preparations Semantics Neural Networks, Computer Proteins Drug Repositioning Deep Learning Drug Discovery Computational Biology
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Optimising window size of semantic of classification model for identification of in-text citations based on context and intent.

PloS one Mar 24, 2025
Citations in scientific literature act as channels for the sharing, transfer, and development of scientific knowledge. However, not all citations hold the same significance. Numerous taxonomies and machine learning models have been developed to analy...
Semantics Deep Learning Humans Natural Language Processing Machine Learning
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Digital evolution: Novo Nordisk's shift to ontology-based data management.

Journal of biomedical semantics Mar 22, 2025
The amount of biomedical data is growing, and managing it is increasingly challenging. While Findable, Accessible, Interoperable and Reusable (FAIR) data principles provide guidance, their adoption has proven difficult, especially in larger enterpris...
Artificial Intelligence Semantics Biological Ontologies Drug Discovery Data Management
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