AIMC Topic: Magnetic Resonance Imaging
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Deep learning models reveal the link between dynamic brain connectivity patterns and states of consciousness.
Scientific reports
Dec 30, 2024
Decoding states of consciousness from brain activity is a central challenge in neuroscience. Dynamic functional connectivity (dFC) allows the study of short-term temporal changes in functional connectivity (FC) between distributed brain areas. By clu...
Predicting local control of brain metastases after stereotactic radiotherapy with clinical, radiomics and deep learning features.
Radiation oncology (London, England)
Dec 30, 2024
BACKGROUND AND PURPOSE: Timely identification of local failure after stereotactic radiotherapy for brain metastases allows for treatment modifications, potentially improving outcomes. While previous studies showed that adding radiomics or Deep Learni...
Intelligent cholinergic white matter pathways algorithm based on U-net reflects cognitive impairment in patients with silent cerebrovascular disease.
Stroke and vascular neurology
Dec 30, 2024
BACKGROUND AND OBJECTIVE: The injury of the cholinergic white matter pathway underlies cognition decline in patients with silent cerebrovascular disease (SCD) with white matter hyperintensities (WMH) of vascular origin. However, the evaluation of the...
Deep Learning
Humans
Cognitive Dysfunction
Reproducibility of Results
Cognition
Aged
Magnetic Resonance Imaging
Algorithms
Aged, 80 and over
White Matter
Female
Male
Predictive Value of Tests
Cholinergic Neurons
Middle Aged
Leukoencephalopathies
Cerebrovascular Disorders
Cholinergic Fibers
Image Interpretation, Computer-Assisted
Problems of magnetic resonance diagnosis for gastric-type mucin-positive cervical lesions of the uterus and its solutions using artificial intelligence.
PloS one
Dec 30, 2024
PURPOSE: To reveal problems of magnetic resonance imaging (MRI) for diagnosing gastric-type mucin-positive (GMPLs) and gastric-type mucin-negative (GMNLs) cervical lesions.
Development and validation of machine learning algorithms for early detection of ankylosing spondylitis using magnetic resonance images.
Technology and health care : official journal of the European Society for Engineering and Medicine
Dec 29, 2024
BackgroundAnkylosing spondylitis (AS) is a chronic inflammatory disease affecting the sacroiliac joints and spine, often leading to disability if not diagnosed and treated early.ObjectiveIn this study, we present the development and validation of mac...
Detecting the articular disk in magnetic resonance images of the temporomandibular joint using YOLO series.
Dental materials journal
Dec 28, 2024
The purpose of this study was to construct an artificial intelligence object detection model to detect the articular disk from temporomandibular joint (TMJ) magnetic resonance (MR) images using YOLO series. The study included two experiments using da...
Performance of Convolutional Neural Network Models in Meningioma Segmentation in Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis.
Neuroinformatics
Dec 28, 2024
BACKGROUND: Meningioma, the most common primary brain tumor, presents significant challenges in MRI-based diagnosis and treatment planning due to its diverse manifestations. Convolutional Neural Networks (CNNs) have shown promise in improving the acc...
SHIVA-CMB: a deep-learning-based robust cerebral microbleed segmentation tool trained on multi-source T2*GRE- and susceptibility-weighted MRI.
Scientific reports
Dec 28, 2024
Cerebral microbleeds (CMB) represent a feature of cerebral small vessel disease (cSVD), a prominent vascular contributor to age-related cognitive decline, dementia, and stroke. They are visible as spherical hypointense signals on T2*- or susceptibili...
A proficient approach for the classification of Alzheimer's disease using a hybridization of machine learning and deep learning.
Scientific reports
Dec 28, 2024
Alzheimer's disease (AD) is a neurodegenerative disorder. It causes progressive degeneration of the nervous system, affecting the cognitive ability of the human brain. Over the past two decades, neuroimaging data from Magnetic Resonance Imaging (MRI)...
Role of artificial intelligence in magnetic resonance imaging-based detection of temporomandibular joint disorder: a systematic review.
The British journal of oral & maxillofacial surgery
Dec 26, 2024
This systematic review aimed to evaluate the application of artificial intelligence (AI) in the identification of temporomandibular joint (TMJ) disc position in normal or temporomandibular joint disorder (TMD) individuals using magnetic resonance ima...
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