AIMC Topic: Magnetic Resonance Imaging

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Effects of Renal Function on the Multimodal Brain Networks Affecting Mild Cognitive Impairment Converters in End-Stage Renal Disease.

Academic radiology Apr 3, 2025
RATIONALE AND OBJECTIVES: Cognitive decline is common in End-Stage Renal Disease (ESRD) patients, yet its neural mechanisms are poorly understood. This study investigates structural and functional brain network reconfiguration in ESRD patients transi...
Humans Brain Female Aged Cognitive Dysfunction Support Vector Machine Magnetic Resonance Imaging Kidney Failure, Chronic Male Middle Aged Disease Progression
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Radiomics across modalities: a comprehensive review of neurodegenerative diseases.

Clinical radiology Apr 3, 2025
Radiomics allows extraction from medical images of quantitative features that are able to reveal tissue patterns that are generally invisible to human observers. Despite the challenges in visually interpreting radiomic features and the computational ...
Radiomics Magnetic Resonance Imaging Brain Tomography, X-Ray Computed Neurodegenerative Diseases Humans Machine Learning
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Early prediction of neoadjuvant therapy response in breast cancer using MRI-based neural networks: data from the ACRIN 6698 trial and a prospective Chinese cohort.

Breast cancer research : BCR Apr 3, 2025
BACKGROUND: Early prediction of treatment response to neoadjuvant therapy (NAT) in breast cancer patients can facilitate timely adjustment of treatment regimens. We aimed to develop and validate a MRI-based enhanced self-attention network (MESN) for ...
Adult Breast Neoplasms Neural Networks, Computer Middle Aged Humans Prognosis Neoadjuvant Therapy Prospective Studies East Asian People Female Magnetic Resonance Imaging Aged China ROC Curve Treatment Outcome
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Deep learning assisted retinal microvasculature assessment and cerebral small vessel disease in Fabry disease.

Orphanet journal of rare diseases Apr 3, 2025
PURPOSE: The aim of this study was to assess retinal microvascular parameters (RMPs) in Fabry disease (FD) using deep learning, and analyze the correlation with brain lesions related to cerebral small vessel disease (CSVD).
Deep Learning Humans Magnetic Resonance Imaging Retinal Vessels Fabry Disease Cerebral Small Vessel Diseases Microvessels Male Retrospective Studies Middle Aged Female Case-Control Studies Adult
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Amyloid-β Deposition Prediction With Large Language Model Driven and Task-Oriented Learning of Brain Functional Networks.

IEEE transactions on medical imaging Apr 3, 2025
Amyloid- positron emission tomography can reflect the Amyloid- protein deposition in the brain and thus serves as one of the golden standards for Alzheimer's disease (AD) diagnosis. However, its practical cost and high radioactivity hinder its applic...
Alzheimer Disease Positron-Emission Tomography Image Interpretation, Computer-Assisted Deep Learning Magnetic Resonance Imaging Amyloid beta-Peptides Large Language Models Humans Aged Male Brain Female
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Exploring Contrastive Pre-Training for Domain Connections in Medical Image Segmentation.

IEEE transactions on medical imaging Apr 3, 2025
Unsupervised domain adaptation (UDA) in medical image segmentation aims to improve the generalization of deep models by alleviating domain gaps caused by inconsistency across equipment, imaging protocols, and patient conditions. However, existing UDA...
Brain Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Algorithms Unsupervised Machine Learning
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Tackling Modality-Heterogeneous Client Drift Holistically for Heterogeneous Multimodal Federated Learning.

IEEE transactions on medical imaging Apr 3, 2025
Multimodal Federated Learning (MFL) has emerged as a collaborative paradigm for training models across decentralized devices, harnessing various data modalities to facilitate effective learning while respecting data ownership. In this realm, notably,...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Federated Learning Algorithms Brain Tomography, X-Ray Computed Humans Machine Learning
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Automated segmentation of the dorsal root ganglia in MRI.

NeuroImage Apr 2, 2025
The dorsal root ganglion (DRG) contains all primary sensory neurons, but its functional role in somatosensory and pain processing remains unclear. Recently, MR imaging techniques have been developed for objective in vivo observation of the DRG. In pa...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Ganglia, Spinal Adult Humans Male Neural Networks, Computer Middle Aged Female
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Deep learning-based reconstruction and superresolution for MR-guided thermal ablation of malignant liver lesions.

Cancer imaging : the official publication of the International Cancer Imaging Society Apr 2, 2025
OBJECTIVE: This study evaluates the impact of deep learning-enhanced T1-weighted VIBE sequences (DL-VIBE) on image quality and procedural parameters during MR-guided thermoablation of liver malignancies, compared to standard VIBE (SD-VIBE).
Humans Magnetic Resonance Imaging Liver Microwaves Retrospective Studies Male Magnetic Resonance Imaging, Interventional Female Deep Learning Middle Aged Ablation Techniques Aged Liver Neoplasms
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Machine learning fusion for glioma tumor detection.

Scientific reports Apr 2, 2025
The early detection of brain tumors is very important for treating them and improving the quality of life for patients. Through advanced imaging techniques, doctors can now make more informed decisions. This paper introduces a framework for a tumor d...
Glioma Magnetic Resonance Imaging Male Middle Aged Deep Learning Female Sensitivity and Specificity Brain Neoplasms Humans Machine Learning
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