AIMC Topic: Magnetic Resonance Imaging
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Biological age prediction in schizophrenia using brain MRI, gut microbiome and blood data.
Brain research bulletin
Apr 27, 2025
The study of biological age prediction using various biological data has been widely explored. However, single biological data may offer limited insights into the pathological process of aging and diseases. Here we evaluated the performance of machin...
Altered static and dynamic functional network connectivity and combined Machine learning in asthma.
Neuroscience
Apr 26, 2025
Asthma is a reversible disease characterized by airflow limitation and chronic airway inflammation. Previous neuroimaging studies have shown structural and functional abnormalities in the brains of individuals with asthma. However, earlier research h...
Machine learning based differential diagnosis of schizophrenia, major depression disorder and bipolar disorder using structural magnetic resonance imaging.
Journal of affective disorders
Apr 24, 2025
BACKGROUND: Cortical morphological abnormalities in schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BD) have been identified in past research. However, their potential as objective biomarkers to differentiate these disorde...
Breast tumour classification in DCE-MRI via cross-attention and discriminant correlation analysis enhanced feature fusion.
Clinical radiology
Apr 24, 2025
AIM: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has proven to be highly sensitive in diagnosing breast tumours, due to the kinetic and volumetric features inherent in it. To utilise the kinetics-related and volume-related informat...
A review of multimodal fusion-based deep learning for Alzheimer's disease.
Neuroscience
Apr 24, 2025
Alzheimer's Disease (AD) as one of the most prevalent neurodegenerative disorders worldwide, characterized by significant memory and cognitive decline in its later stages, severely impacting daily lives. Consequently, early diagnosis and accurate ass...
Artificial intelligence for children with attention deficit/hyperactivity disorder: a scoping review.
Experimental biology and medicine (Maywood, N.J.)
Apr 24, 2025
Attention deficit/hyperactivity disorder is a common neuropsychiatric disorder that affects around 5%-7% of children worldwide. Artificial intelligence provides advanced models and algorithms for better diagnosis, prediction and classification of att...
Super-resolution deep learning reconstruction to evaluate lumbar spinal stenosis status on magnetic resonance myelography.
Japanese journal of radiology
Apr 23, 2025
PURPOSE: To investigate whether super-resolution deep learning reconstruction (SR-DLR) of MR myelography-aided evaluations of lumbar spinal stenosis.
Development and validation of an interpretable machine learning model for diagnosing pathologic complete response in breast cancer.
Computer methods and programs in biomedicine
Apr 23, 2025
BACKGROUND: Pathologic complete response (pCR) following neoadjuvant chemotherapy (NACT) is a critical prognostic marker for patients with breast cancer, potentially allowing surgery omission. However, noninvasive and accurate pCR diagnosis remains a...
ConnectomeAE: Multimodal brain connectome-based dual-branch autoencoder and its application in the diagnosis of brain diseases.
Computer methods and programs in biomedicine
Apr 23, 2025
BACKGROUND AND OBJECTIVE: Exploring the dependencies between multimodal brain networks and integrating node features to enhance brain disease diagnosis remains a significant challenge. Some work has examined only brain connectivity changes in patient...
Development of a Low-Profile, Piezoelectric Robot for MR-Guided Abdominal Needle Interventions.
Annals of biomedical engineering
Apr 23, 2025
PURPOSE: Minimally invasive needle-based interventions are commonly used in cancer diagnosis and treatment, including procedures, such as biopsy, brachytherapy, and microwave ablation. Although MR-guided needle placement offers several distinct advan...
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