AIMC Topic: Magnetic Resonance Imaging

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Machine learning-based assessment of morphometric abnormalities distinguishes bipolar disorder and major depressive disorder.

Neuroradiology Jan 18, 2025
INTRODUCTION: Bipolar disorder (BD) and major depressive disorder (MDD) have overlapping clinical presentations which may make it difficult for clinicians to distinguish them potentially resulting in misdiagnosis. This study combined structural MRI a...
Diagnosis, Differential Image Interpretation, Computer-Assisted Male Middle Aged Depressive Disorder, Major Case-Control Studies Bipolar Disorder Imaging, Three-Dimensional Magnetic Resonance Imaging Machine Learning Brain Female Adult Humans
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PIDGN: An explainable multimodal deep learning framework for early prediction of Parkinson's disease.

Journal of neuroscience methods Jan 18, 2025
BACKGROUND: Parkinson's disease (PD), the second most common neurodegenerative disease in the world, is usually not diagnosed until the later stages of the disease, when patients might have already missed the best treatment period. Therefore, more ef...
Female Male Deep Learning Polymorphism, Single Nucleotide Humans Magnetic Resonance Imaging Neural Networks, Computer Parkinson Disease Brain Early Diagnosis
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AI-based assessment of longitudinal multiple sclerosis MRI: Strengths and weaknesses in clinical practice.

European journal of radiology Jan 18, 2025
OBJECTIVES: In Multiple Sclerosis (MS) cerebral MRI is essential for disease and treatment monitoring. For this purpose, software solutions are available to support the radiologist with image interpretation and reporting of follow up imaging. Aim of ...
Sensitivity and Specificity Male Brain Longitudinal Studies Middle Aged Humans Magnetic Resonance Imaging Female Artificial Intelligence Multiple Sclerosis Image Interpretation, Computer-Assisted Reproducibility of Results Software Adult
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Advancements in Frank's sign Identification using deep learning on 3D brain MRI.

Scientific reports Jan 18, 2025
Frank's sign (FS) is a diagnostic marker associated with aging and various health conditions. Despite its clinical significance, there lacks a standardized method for its identification. This study aimed to develop a deep learning model for automated...
Humans Brain Female Aged Adult Male Imaging, Three-Dimensional Magnetic Resonance Imaging Middle Aged Deep Learning ROC Curve
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ds-FCRN: three-dimensional dual-stream fully convolutional residual networks and transformer-based global-local feature learning for brain age prediction.

Brain structure & function Jan 18, 2025
The brain undergoes atrophy and cognitive decline with advancing age. The utilization of brain age prediction represents a pioneering methodology in the examination of brain aging. This study aims to develop a deep learning model with high predictive...
Magnetic Resonance Imaging Brain Gray Matter Female Aged Aged, 80 and over Male Humans Aging Neural Networks, Computer Middle Aged Deep Learning
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Incremental accumulation of linguistic context in artificial and biological neural networks.

Nature communications Jan 18, 2025
Large Language Models (LLMs) have shown success in predicting neural signals associated with narrative processing, but their approach to integrating context over large timescales differs fundamentally from that of the human brain. In this study, we s...
Humans Neural Networks, Computer Brain Language Male Female Magnetic Resonance Imaging Speech Perception Young Adult Models, Neurological Adult Linguistics Brain Mapping
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TagGen: Diffusion-based generative model for cardiac MR tagging super resolution.

Magnetic resonance in medicine Jan 17, 2025
PURPOSE: The aim of the work is to develop a cascaded diffusion-based super-resolution model for low-resolution (LR) MR tagging acquisitions, which is integrated with parallel imaging to achieve highly accelerated MR tagging while enhancing the tag g...
Humans Heart Adult Algorithms Male Image Interpretation, Computer-Assisted Retrospective Studies Image Processing, Computer-Assisted Signal-To-Noise Ratio Female Magnetic Resonance Imaging Diffusion Magnetic Resonance Imaging
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VGX: VGG19-Based Gradient Explainer Interpretable Architecture for Brain Tumor Detection in Microscopy Magnetic Resonance Imaging (MMRI).

Microscopy research and technique Jan 17, 2025
The development of deep learning algorithms has transformed medical image analysis, especially in brain tumor recognition. This research introduces a robust automatic microbrain tumor identification method utilizing the VGG16 deep learning model. Mic...
Algorithms Brain Brain Neoplasms Deep Learning Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Microscopy
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Automatic segmentation of MRI images for brain radiotherapy planning using deep ensemble learning.

Biomedical physics & engineering express Jan 17, 2025
This study aimed to develop and evaluate an efficient method to automatically segment T1- and T2-weighted brain magnetic resonance imaging (MRI) images. We specifically compared the segmentation performance of individual convolutional neural network ...
Ensemble Learning Magnetic Resonance Imaging Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy, Image-Guided Brain Neoplasms Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Brain
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Interpretable and integrative deep learning for discovering brain-behaviour associations.

Scientific reports Jan 17, 2025
Recent advances highlight the limitations of classification strategies in machine learning that rely on a single data source for understanding, diagnosing and predicting psychiatric syndromes. Moreover, approaches based solely on clinician labels oft...
Male Deep Learning Magnetic Resonance Imaging Humans Mental Disorders Brain Female Adult
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