AIMC Topic: Neuroimaging

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Transformer-based approaches for neuroimaging: an in-depth review of their role in classification and regression tasks.

Reviews in the neurosciences Sep 30, 2024
In the ever-evolving landscape of deep learning (DL), the transformer model emerges as a formidable neural network architecture, gaining significant traction in neuroimaging-based classification and regression tasks. This paper presents an extensive ...
Deep Learning Neuroimaging Humans Neural Networks, Computer Brain
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MGA-Net: A novel mask-guided attention neural network for precision neonatal brain imaging.

NeuroImage Sep 28, 2024
In this study, we introduce MGA-Net, a novel mask-guided attention neural network, which extends the U-net model for precision neonatal brain imaging. MGA-Net is designed to extract the brain from other structures and reconstruct high-quality brain i...
Male Brain Magnetic Resonance Imaging Humans Female Neuroimaging Image Processing, Computer-Assisted Neural Networks, Computer Infant, Newborn
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Translational Connectomics: overview of machine learning in macroscale Connectomics for clinical insights.

BMC neurology Sep 28, 2024
Connectomics is a neuroscience paradigm focused on noninvasively mapping highly intricate and organized networks of neurons. The advent of neuroimaging has led to extensive mapping of the brain functional and structural connectome on a macroscale lev...
Translational Research, Biomedical Neuroimaging Connectome Machine Learning Brain Humans
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Comparative evaluation of interpretation methods in surface-based age prediction for neonates.

NeuroImage Sep 24, 2024
Significant changes in brain morphology occur during the third trimester of gestation. The capability of deep learning in leveraging these morphological features has enhanced the accuracy of brain age predictions for this critical period. Yet, the op...
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Neuroimaging Infant, Newborn Male Deep Learning Brain Female Humans
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3-1-3 Weight averaging technique-based performance evaluation of deep neural networks for Alzheimer's disease detection using structural MRI.

Biomedical physics & engineering express Sep 24, 2024
Alzheimer's disease (AD) is a progressive neurological disorder. It is identified by the gradual shrinkage of the brain and the loss of brain cells. This leads to cognitive decline and impaired social functioning, making it a major contributor to dem...
Aged Humans Aged, 80 and over Neural Networks, Computer Male Magnetic Resonance Imaging Algorithms Alzheimer Disease Deep Learning Brain Databases, Factual Neuroimaging ROC Curve Female Image Processing, Computer-Assisted
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Magnetic resonance imaging-based machine learning classification of schizophrenia spectrum disorders: a meta-analysis.

Psychiatry and clinical neurosciences Sep 18, 2024
BACKGROUND: Recent advances in multivariate pattern recognition have fostered the search for reliable neuroimaging-based biomarkers in psychiatric conditions, including schizophrenia. These approaches consider the complex pattern of alterations in br...
Neuroimaging Humans Machine Learning Brain Magnetic Resonance Imaging Schizophrenia
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Quantitative assessment of brain structural abnormalities in children with autism spectrum disorder based on artificial intelligence automatic brain segmentation technology and machine learning methods.

Psychiatry research. Neuroimaging Sep 16, 2024
RATIONALE AND OBJECTIVES: To explore the characteristics of brain structure in Chinese children with autism spectrum disorder (ASD) using artificial intelligence automatic brain segmentation technique, and to diagnose children with ASD using machine ...
Humans Artificial Intelligence Child, Preschool Brain Machine Learning Neuroimaging Female Child Autism Spectrum Disorder Magnetic Resonance Imaging Male
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AI-driven innovations in Alzheimer's disease: Integrating early diagnosis, personalized treatment, and prognostic modelling.

Ageing research reviews Sep 16, 2024
Alzheimer's disease (AD) presents a significant challenge in neurodegenerative research and clinical practice due to its complex etiology and progressive nature. The integration of artificial intelligence (AI) into the diagnosis, treatment, and progn...
Alzheimer Disease Early Diagnosis Neuroimaging Precision Medicine Prognosis Humans Artificial Intelligence
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DeepASD: a deep adversarial-regularized graph learning method for ASD diagnosis with multimodal data.

Translational psychiatry Sep 14, 2024
Autism Spectrum Disorder (ASD) is a prevalent neurological condition with multiple co-occurring comorbidities that seriously affect mental health. Precisely diagnosis of ASD is crucial to intervention and rehabilitation. A single modality may not ful...
Neural Networks, Computer Autism Spectrum Disorder Brain Humans Neuroimaging Deep Learning Magnetic Resonance Imaging Multimodal Imaging
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Predicting multiple sclerosis disease progression and outcomes with machine learning and MRI-based biomarkers: a review.

Journal of neurology Sep 12, 2024
Multiple sclerosis (MS) is a demyelinating neurological disorder with a highly heterogeneous clinical presentation and course of progression. Disease-modifying therapies are the only available treatment, as there is no known cure for the disease. Car...
Humans Machine Learning Neuroimaging Disease Progression Magnetic Resonance Imaging Multiple Sclerosis Biomarkers Prognosis
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