AIMC Topic: Neuroimaging

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A systematic review of deep learning in MRI-based cerebral vascular occlusion-based brain diseases.

Neuroscience Jan 11, 2025
Neurological disorders, including cerebral vascular occlusions and strokes, present a major global health challenge due to their high mortality rates and long-term disabilities. Early diagnosis, particularly within the first hours, is crucial for pre...
Humans Brain Deep Learning Magnetic Resonance Imaging Brain Diseases Neuroimaging
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Multi-center brain age prediction via dual-modality fusion convolutional network.

Medical image analysis Jan 10, 2025
Accurate prediction of brain age is crucial for identifying deviations between typical individual brain development trajectories and neuropsychiatric disease progression. Although current research has made progress, the effective application of brain...
Male Aging Adolescent Female Young Adult Adult Child Magnetic Resonance Imaging Neuroimaging Neural Networks, Computer Brain Humans
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Convolutional Neural Networks for the segmentation of hippocampal structures in postmortem MRI scans.

Journal of neuroscience methods Jan 2, 2025
BACKGROUND: The hippocampus plays a crucial role in memory and is one of the first structures affected by Alzheimer's disease. Postmortem MRI offers a way to quantify the alterations by measuring the atrophy of the inner structures of the hippocampus...
Postmortem Imaging Deep Learning Convolutional Neural Networks Image Processing, Computer-Assisted Neural Networks, Computer Female Hippocampus Male Neuroimaging Humans Magnetic Resonance Imaging Autopsy
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Multi-Modal Diagnosis of Alzheimer's Disease Using Interpretable Graph Convolutional Networks.

IEEE transactions on medical imaging Jan 2, 2025
The interconnection between brain regions in neurological disease encodes vital information for the advancement of biomarkers and diagnostics. Although graph convolutional networks are widely applied for discovering brain connection patterns that poi...
Databases, Factual Brain Female Aged Humans Neural Networks, Computer Multimodal Imaging Alzheimer Disease Image Interpretation, Computer-Assisted Male Neuroimaging Cognitive Dysfunction Magnetic Resonance Imaging
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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)...
Algorithms Brain Female Humans Machine Learning Deep Learning Magnetic Resonance Imaging Aged Alzheimer Disease Aged, 80 and over Neuroimaging Male
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MCBERT: A multi-modal framework for the diagnosis of autism spectrum disorder.

Biological psychology Dec 23, 2024
Within the domain of neurodevelopmental disorders, autism spectrum disorder (ASD) emerges as a distinctive neurological condition characterized by multifaceted challenges. The delayed identification of ASD poses a considerable hurdle in effectively m...
Deep Learning Magnetic Resonance Imaging Neuroimaging Humans Neural Networks, Computer Autism Spectrum Disorder
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Fusion of brain imaging genetic data for alzheimer's disease diagnosis and causal factors identification using multi-stream attention mechanisms and graph convolutional networks.

Neural networks : the official journal of the International Neural Network Society Dec 20, 2024
Correctly diagnosing Alzheimer's disease (AD) and identifying pathogenic brain regions and genes play a vital role in understanding the AD and developing effective prevention and treatment strategies. Recent works combine imaging and genetic data, an...
Humans Neural Networks, Computer Brain Alzheimer Disease Attention Polymorphism, Single Nucleotide Magnetic Resonance Imaging Neuroimaging
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Classifying Alzheimer's Disease Using a Finite Basis Physics Neural Network.

Microscopy research and technique Dec 20, 2024
The disease amyloid plaques, neurofibrillary tangles, synaptic dysfunction, and neuronal death gradually accumulate throughout Alzheimer's disease (AD), resulting in cognitive decline and functional disability. The challenges of dataset quality, inte...
Cognitive Dysfunction Image Processing, Computer-Assisted Magnetic Resonance Imaging Alzheimer Disease Neuroimaging Algorithms Humans Brain Neural Networks, Computer Deep Learning
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DCA-Enhanced Alzheimer's detection with shearlet and deep learning integration.

Computers in biology and medicine Dec 13, 2024
Alzheimer's dementia (AD) is a neurodegenerative disorder that affects the central nervous system, causing the cells to stop working or die. The quality of life for individuals with AD steadily declines over time. While current treatments can relieve...
Magnetic Resonance Imaging Alzheimer Disease Image Interpretation, Computer-Assisted Neuroimaging Male Deep Learning Cognitive Dysfunction Female Aged Aged, 80 and over Humans Neural Networks, Computer
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A machine learning approach for identifying anatomical biomarkers of early mild cognitive impairment.

PeerJ Dec 13, 2024
BACKGROUND: Alzheimer's Disease (AD) poses a major challenge as a neurodegenerative disorder, and early detection is critical for effective intervention. Magnetic resonance imaging (MRI) is a critical tool in AD research due to its availability and c...
Neuroimaging Aged, 80 and over Brain Alzheimer Disease Male Magnetic Resonance Imaging Humans Female Early Diagnosis Cognitive Dysfunction Bayes Theorem Aged Machine Learning Biomarkers
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