AIMC Topic: Magnetic Resonance Imaging

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Explainable machine learning model predicting neurological deterioration in Wilson's disease via MRI radiomics and clinical features.

Parkinsonism & related disorders Jun 4, 2025
BACKGROUND: This study aims to build a machine learning (ML) model to predict the deterioration of neurological symptoms in Wilson's disease (WD) patients during short-term anti-copper therapy. The model combines brain T1WI MRI radiomics with clinica...
Child Magnetic Resonance Imaging Hepatolenticular Degeneration Male Disease Progression Adolescent Young Adult Adult Radiomics Brain Female Humans Machine Learning
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Dynamically weighted graph neural network for detection of early mild cognitive impairment.

PloS one Jun 4, 2025
Alzheimer's disease (AD) is a prevalent neurodegenerative disease that primarily affects the elderly population. The early detection of mild cognitive impairment (MCI) holds significant clinical importance for prompt intervention and treatment of AD....
Graph Neural Networks Male Brain Humans Cognitive Dysfunction Neural Networks, Computer Female Magnetic Resonance Imaging Algorithms Aged Alzheimer Disease Early Diagnosis Nerve Net
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Patient-specific prediction of glioblastoma growth via reduced order modeling and neural networks.

Mathematical biosciences Jun 3, 2025
Glioblastoma is among the most aggressive brain tumors in adults, characterized by patient-specific invasion patterns driven by the underlying brain microstructure. In this work, we present a proof-of-concept for a mathematical model of GBL growth, e...
Humans Neural Networks, Computer Brain Neoplasms Diffusion Tensor Imaging Magnetic Resonance Imaging Glioblastoma Models, Biological
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Super-resolution sodium MRI of human gliomas at 3T using physics-based generative artificial intelligence.

Journal of neuro-oncology Jun 3, 2025
PURPOSE: Sodium neuroimaging provides unique insights into the cellular and metabolic properties of brain tumors. However, at 3T, sodium neuroimaging MRI's low signal-to-noise ratio (SNR) and resolution discourages routine clinical use. We evaluated ...
Humans Artificial Intelligence Female Glioma Male Sodium-Hydrogen Exchanger 1 Magnetic Resonance Imaging Middle Aged Neuroimaging Sodium Generative Artificial Intelligence Signal-To-Noise Ratio Aged Adult Brain Neoplasms
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Machine learning for classification of pediatric bipolar disorder with and without psychotic symptoms based on thalamic subregional structural volume.

BMC psychiatry Jun 3, 2025
BACKGROUND: The thalamus plays a crucial role in sensory processing, emotional regulation, and cognitive functions, and its dysregulation may be implicated in psychosis. The aim of the present study was to examine the differences in thalamic subregio...
Female Magnetic Resonance Imaging Humans Male Adolescent Psychotic Disorders Machine Learning Organ Size Case-Control Studies Bipolar Disorder Thalamus Child
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An interpretable deep learning approach for autism spectrum disorder detection in children using NASNet-mobile.

Biomedical physics & engineering express Jun 3, 2025
Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder featuring impaired social interactions and communication abilities engaging the individuals in a restrictive or repetitive behaviour. Though incurable early detection and in...
Male Deep Learning Adolescent Magnetic Resonance Imaging Neuroimaging Child, Preschool Child Autism Spectrum Disorder Brain Female Humans Neural Networks, Computer Algorithms
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Enhancing Lesion Detection in Inflammatory Myelopathies: A Deep Learning-Reconstructed Double Inversion Recovery MRI Approach.

AJNR. American journal of neuroradiology Jun 3, 2025
BACKGROUND AND PURPOSE: The imaging of inflammatory myelopathies has advanced significantly across time, with MRI techniques playing a pivotal role in enhancing lesion detection. However, the impact of deep learning (DL)-based reconstruction on 3D do...
Imaging, Three-Dimensional Magnetic Resonance Imaging Male Image Interpretation, Computer-Assisted Middle Aged Humans Deep Learning Female Adult
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Accelerating 3D radial MPnRAGE using a self-supervised deep factor model.

Magnetic resonance in medicine Jun 2, 2025
PURPOSE: To develop a self-supervised and memory-efficient deep learning image reconstruction method for 4D non-Cartesian MRI with high resolution and a large parametric dimension.
Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Humans Brain Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Phantoms, Imaging
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MobileTurkerNeXt: investigating the detection of Bankart and SLAP lesions using magnetic resonance images.

Radiological physics and technology Jun 2, 2025
The landscape of computer vision is predominantly shaped by two groundbreaking methodologies: transformers and convolutional neural networks (CNNs). In this study, we aim to introduce an innovative mobile CNN architecture designed for orthopedic imag...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging
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SASWISE-UE: Segmentation and synthesis with interpretable scalable ensembles for uncertainty estimation.

Computers in biology and medicine Jun 2, 2025
This paper introduces an efficient sub-model ensemble framework aimed at enhancing the interpretability of medical deep learning models, thus increasing their clinical applicability. By generating uncertainty maps, this framework enables end-users to...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Uncertainty Tomography, X-Ray Computed Deep Learning Humans Algorithms
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