AIMC Topic: Magnetic Resonance Imaging

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IT: An interpretable transformer model for Alzheimer's disease prediction based on PET/MR images.

NeuroImage Apr 11, 2025
Alzheimer's disease (AD) represents a significant challenge due to its progressive neurodegenerative impact, particularly within an aging global demographic. This underscores the critical need for developing sophisticated diagnostic tools for its ear...
Alzheimer Disease Humans Positron-Emission Tomography Deep Learning Brain Neuroimaging Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Female Multimodal Imaging Aged Male
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Leveraging deep learning for improving parameter extraction from perfusion MR images: A narrative review.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Apr 11, 2025
BACKGROUND: Perfusion magnetic resonance imaging (MRI) is a non-invasive technique essential for assessing tissue microcirculation and perfusion dynamics. Various perfusion MRI techniques like Dynamic Contrast-Enhanced (DCE), Dynamic Susceptibility C...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Deep Learning
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Privacy-preserving federated learning for collaborative medical data mining in multi-institutional settings.

Scientific reports Apr 11, 2025
Ensuring data privacy in medical image classification is a critical challenge in healthcare, especially with the increasing reliance on AI-driven diagnostics. In fact, over 30% of healthcare organizations globally have experienced a data breach in th...
Federated Learning Confidentiality Privacy Data Mining Humans Magnetic Resonance Imaging
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Enhancing neurological disease diagnostics: fusion of deep transfer learning with optimization algorithm for acute brain stroke prediction using facial images.

Scientific reports Apr 10, 2025
Stroke is a main risk to life and fitness in current society, particularly in the aging population. Also, the stroke is recognized as a cerebrovascular accident. It contains a nervous illness, which can result from haemorrhage or ischemia of the brai...
Algorithms Brain Tomography, X-Ray Computed Male Deep Learning Humans Magnetic Resonance Imaging Stroke Face
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Integrated brain connectivity analysis with fMRI, DTI, and sMRI powered by interpretable graph neural networks.

Medical image analysis Apr 9, 2025
Multimodal neuroimaging data modeling has become a widely used approach but confronts considerable challenges due to their heterogeneity, which encompasses variability in data types, scales, and formats across modalities. This variability necessitate...
Humans Neural Networks, Computer Connectome Diffusion Tensor Imaging Graph Neural Networks Brain Magnetic Resonance Imaging Multimodal Imaging
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Habitat Radiomics Based on MRI for Predicting Metachronous Liver Metastasis in Locally Advanced Rectal Cancer: a Two‑center Study.

Academic radiology Apr 9, 2025
RATIONALE AND OBJECTIVES: This study aimed to explore the feasibility of using habitat radiomics based on magnetic resonance imaging (MRI) to predict metachronous liver metastasis (MLM) in locally advanced rectal cancer (LARC) patients. A nomogram wa...
Neoplasms, Second Primary Magnetic Resonance Imaging Predictive Value of Tests Adult Rectal Neoplasms Radiomics Male Middle Aged Liver Neoplasms Nomograms Retrospective Studies Female Aged Humans Machine Learning
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Alterations in static and dynamic functional network connectivity in chronic low back pain: a resting-state network functional connectivity and machine learning study.

Neuroreport Apr 9, 2025
Low back pain (LBP) is a prevalent pain condition whose persistence can lead to changes in the brain regions responsible for sensory, cognitive, attentional, and emotional processing. Previous neuroimaging studies have identified various structural a...
Brain Mapping Low Back Pain Neural Pathways Middle Aged Support Vector Machine Magnetic Resonance Imaging Nerve Net Chronic Pain Humans Machine Learning Brain Female Adult Male
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Novel deep learning algorithm based MRI radiomics for predicting lymph node metastases in rectal cancer.

Scientific reports Apr 9, 2025
To explore the value of applying the MRI-based radiomic nomogram for predicting lymph node metastasis (LNM) in rectal cancer (RC). This retrospective analysis used data from 430 patients with RC from two medical centers. The patients were categorized...
Lymphatic Metastasis Magnetic Resonance Imaging Rectal Neoplasms ROC Curve Lymph Nodes Nomograms Aged Adult Radiomics Algorithms Male Retrospective Studies Middle Aged Humans Female Deep Learning
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Advances in MRI optic nerve segmentation.

Multiple sclerosis and related disorders Apr 8, 2025
Understanding optic nerve structure and monitoring changes within it can provide insights into neurodegenerative diseases like multiple sclerosis, in which optic nerves are often damaged by inflammatory episodes of optic neuritis. Over the past decad...
Deep Learning Magnetic Resonance Imaging Optic Nerve Humans Neuroimaging
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NeuroNasal: Advanced AI-Driven Self-Supervised Learning Approach for Enhanced Sinonasal Pathology Detection.

Sensors (Basel, Switzerland) Apr 8, 2025
Sinus diseases are inflammations or infections of the sinuses that significantly impact patient quality of life. They cause nasal congestion, facial pain, headaches, thick nasal discharge, and a reduced sense of smell. However, accurately diagnosing ...
Tomography, X-Ray Computed Paranasal Sinuses Humans Magnetic Resonance Imaging Artificial Intelligence Supervised Machine Learning Algorithms
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