AIMC Topic: Image Interpretation, Computer-Assisted

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Deep learning based automated left atrial segmentation and flow quantification of real time phase contrast MRI in patients with atrial fibrillation.

The international journal of cardiovascular imaging Apr 29, 2025
Real time 2D phase contrast (RTPC) MRI is useful for flow quantification in atrial fibrillation (AF) patients, but data analysis requires time-consuming anatomical contouring for many cardiac time frames. Our goal was to develop a convolutional neura...
Image Interpretation, Computer-Assisted Observer Variation Automation Magnetic Resonance Imaging, Cine Blood Flow Velocity Atrial Function, Left Atrial Fibrillation Heart Atria Heart Rate Time Factors Magnetic Resonance Imaging Predictive Value of Tests Middle Aged Humans Deep Learning Aged Female Male Reproducibility of Results
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Artificial intelligence-assisted left ventricular global longitudinal strain assessment in patients with acute myocardial infarction: a RESUS-AMI trial sub-analysis.

The international journal of cardiovascular imaging Apr 29, 2025
PURPOSE: The aim of this sub-analysis of the RESUS-AMI trial was to evaluate the correlation of artificial intelligence (AI)-assisted echocardiographic global longitudinal strain (GLS) assessments with infarct size, left ventricular ejection fraction...
Humans Global Longitudinal Strain Observer Variation Magnetic Resonance Imaging, Cine Myocardial Contraction Echocardiography Middle Aged Treatment Outcome Aged Percutaneous Coronary Intervention Male Image Interpretation, Computer-Assisted Ventricular Function, Left Predictive Value of Tests Artificial Intelligence Stroke Volume ST Elevation Myocardial Infarction Female Reproducibility of Results
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Brain tumor detection empowered with ensemble deep learning approaches from MRI scan images.

Scientific reports Apr 29, 2025
Brain tumor detection is essential for early diagnosis and successful treatment, both of which can significantly enhance patient outcomes. To evaluate brain MRI scans and categorize them into four types-pituitary, meningioma, glioma, and normal-this ...
Glioma Brain Neoplasms Humans Meningioma Magnetic Resonance Imaging Deep Learning Artificial Intelligence Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Brain
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Deep learning for quality assessment of axial T2-weighted prostate MRI: a tool to reduce unnecessary rescanning.

European radiology experimental Apr 29, 2025
BACKGROUND: T2-weighted images are a critical component of prostate magnetic resonance imaging (MRI), and it would be useful to automatically assess image quality (IQ) on a patient-specific basis without radiologist oversight.
Retrospective Studies Humans Aged Prostate Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Prostatic Neoplasms Male Middle Aged Deep Learning
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Enhanced glaucoma classification through advanced segmentation by integrating cup-to-disc ratio and neuro-retinal rim features.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 28, 2025
Glaucoma is a progressive eye condition caused by high intraocular fluid pressure, damaging the optic nerve, leading to gradual, irreversible vision loss, often without noticeable symptoms. Subtle signs like mild eye redness, slightly blurred vision,...
Diagnosis, Computer-Assisted Tomography, Optical Coherence Image Interpretation, Computer-Assisted Optic Disk Humans Glaucoma
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Structural uncertainty estimation for medical image segmentation.

Medical image analysis Apr 28, 2025
Precise segmentation and uncertainty estimation are crucial for error identification and correction in medical diagnostic assistance. Existing methods mainly rely on pixel-wise uncertainty estimations. They (1) neglect the global context, leading to ...
Humans Ultrasonography Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Uncertainty Neural Networks, Computer Algorithms Reproducibility of Results
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A Deep Learning Approach for Nerve Injury Classification in Brachial Plexopathies Using Magnetic Resonance Neurography with Modified Hiking Optimization Algorithm.

Academic radiology Apr 28, 2025
RATIONALE AND OBJECTIVES: Brachial plexopathies (BPs) encompass a complex spectrum of nerve injuries affecting motor and sensory function in the upper extremities. Diagnosis is challenging due to the intricate anatomy and symptom overlap with other n...
Brachial Plexus Brachial Plexus Neuropathies Peripheral Nerve Injuries Deep Learning Humans Magnetic Resonance Imaging Male Algorithms Middle Aged Female Image Interpretation, Computer-Assisted Adult
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A novel diagnosis method utilizing MDBO-SVM and imaging genetics for Alzheimer's disease.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 27, 2025
Alzheimer's disease (AD) is the most common neurodegenerative disorder, yet its underlying mechanisms remain elusive. Early and accurate diagnosis is crucial for timely intervention and disease management. In this paper, a multi-strategy improved dun...
Support Vector Machine Alzheimer Disease Image Interpretation, Computer-Assisted Aged Male Cognitive Dysfunction Algorithms Female Humans
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Medical image translation with deep learning: Advances, datasets and perspectives.

Medical image analysis Apr 27, 2025
Traditional medical image generation often lacks patient-specific clinical information, limiting its clinical utility despite enhancing downstream task performance. In contrast, medical image translation precisely converts images from one modality to...
Datasets as Topic Image Processing, Computer-Assisted Humans Diagnostic Imaging Neural Networks, Computer Image Interpretation, Computer-Assisted Deep Learning
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General retinal image enhancement via reconstruction: Bridging distribution shifts using latent diffusion adaptors.

Medical image analysis Apr 26, 2025
Deep learning-based fundus image enhancement has attracted extensive research attention recently, which has shown remarkable effectiveness in improving the visibility of low-quality images. However, these methods are often constrained to specific dat...
Humans Fundus Oculi Retina Image Interpretation, Computer-Assisted Image Enhancement Algorithms Deep Learning Image Processing, Computer-Assisted
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