AIMC Topic: Magnetic Resonance Imaging
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Identifying key brain pathology in bipolar and unipolar depression using a region-specific brain aging trajectories approach: Insights from the Taiwan Aging and Mental Illness Cohort.
Psychological medicine
Aug 29, 2025
BACKGROUND: Identifying key areas of brain dysfunction in mental illness is critical for developing precision diagnosis and treatment. This study aimed to develop region-specific brain aging trajectory prediction models using multimodal magnetic reso...
MRI-based machine-learning radiomics of the liver to predict liver-related events in hepatitis B virus-associated fibrosis.
European radiology experimental
Aug 27, 2025
BACKGROUND: The onset of liver-related events (LREs) in fibrosis indicates a poor prognosis and worsens patients' quality of life, making the prediction and early detection of LREs crucial. The aim of this study was to develop a radiomics model using...
MV2SwimNet: A lightweight transformer-based hybrid model for knee meniscus tears detection.
PloS one
Aug 27, 2025
Knee Ailments, such as meniscus injuries, bother millions globally, with research showing that more than 14% of the population above 40 years lives with meniscus-related conditions. Conventional diagnosis techniques, like manual MRI interpretation, a...
Optimized deep learning for brain tumor detection: a hybrid approach with attention mechanisms and clinical explainability.
Scientific reports
Aug 26, 2025
Brain tumor classification (BTC) from Magnetic Resonance Imaging (MRI) is a critical diagnosis task, which is highly important for treatment planning. In this study, we propose a hybrid deep learning (DL) model that integrates VGG16, an attention mec...
Optimizing meningioma grading with radiomics and deep features integration, attention mechanisms, and reproducibility analysis.
European journal of medical research
Aug 26, 2025
OBJECTIVE: This study aims to develop a robust and clinically applicable framework for preoperative grading of meningiomas using T1-contrast-enhanced and T2-weighted MRI images. The approach integrates radiomic feature extraction, attention-guided de...
Optimized AI-based neural decoding from BOLD fMRI signal for analyzing visual and semantic ROIs in the human visual system.
Journal of neural engineering
Aug 26, 2025
. AI-based neural decoding reconstructs visual perception by leveraging generative models to map brain activity measured through functional magnetic resonance imaging (fMRI) into the observed visual stimulus.. Traditionally, ridge linear models trans...
Enhancing the early detection of Alzheimer's disease using an integrated CNN-LSTM framework: A robust approach for fMRI-based multi-stage classification.
PloS one
Aug 26, 2025
Alzheimer's Disease poses a significant challenge as a progressive and irreversible neurological condition striking the elderly population. Its incurable nature correlates with a significant rise in death rates. However, early detection can slow its ...
A novel MRI-based habitat analysis and deep learning for predicting perineural invasion in prostate cancer: a two-center study.
BMC cancer
Aug 23, 2025
BACKGROUND: To explore the efficacy of a deep learning (DL) model in predicting perineural invasion (PNI) in prostate cancer (PCa) by conducting multiparametric MRI (mpMRI)-based tumor heterogeneity analysis.
A novel residual network based on multidimensional attention and pinwheel convolution for brain tumor classification.
Scientific reports
Aug 23, 2025
Early and accurate brain tumor classification is vital for clinical diagnosis and treatment. Although Convolutional Neural Networks (CNNs) are widely used in medical image analysis, they often struggle to focus on critical information adequately and ...
Neural and behavioral reinstatement jointly reflect retrieval of narrative events.
Nature communications
Aug 23, 2025
When recalling past events, patterns of gaze position and neural activity resemble those observed during the original experience. We hypothesized that these two phenomena, known as gaze reinstatement and neural reactivation, are linked through a comm...
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