AIMC Topic:
Magnetic Resonance Imaging
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The beating heart: artificial intelligence for cardiovascular application in the clinic.
Magma (New York, N.Y.)
Jun 22, 2024
Artificial intelligence (AI) integration in cardiac magnetic resonance imaging presents new and exciting avenues for advancing patient care, automating post-processing tasks, and enhancing diagnostic precision and outcomes. The use of AI significantl...
Assessment of Deep Learning-Based Triage Application for Acute Ischemic Stroke on Brain MRI in the ER.
Academic radiology
Jun 21, 2024
RATIONALE AND OBJECTIVES: To assess a deep learning application (DLA) for acute ischemic stroke (AIS) detection on brain magnetic resonance imaging (MRI) in the emergency room (ER) and the effect of T2-weighted imaging (T2WI) on its performance.
Spontaneous brain activity in patients with central retinal artery occlusion: a resting-state functional MRI study using machine learning.
Neuroreport
Jun 21, 2024
Central retinal artery occlusion (CRAO) is a serious eye condition that poses a risk to vision, resulting from the blockage of the central retinal artery. Because of the anatomical connection between the ocular artery, which derives from the internal...
Insights into traditional Large Deformation Diffeomorphic Metric Mapping and unsupervised deep-learning for diffeomorphic registration and their evaluation.
Computers in biology and medicine
Jun 21, 2024
This paper explores the connections between traditional Large Deformation Diffeomorphic Metric Mapping methods and unsupervised deep-learning approaches for non-rigid registration, particularly emphasizing diffeomorphic registration. The study provid...
Deep learning reconstruction for lumbar spine MRI acceleration: a prospective study.
European radiology experimental
Jun 21, 2024
BACKGROUND: We compared magnetic resonance imaging (MRI) turbo spin-echo images reconstructed using a deep learning technique (TSE-DL) with standard turbo spin-echo (TSE-SD) images of the lumbar spine regarding image quality and detection performance...
Artificial intelligence in musculoskeletal imaging: realistic clinical applications in the next decade.
Skeletal radiology
Jun 20, 2024
This article will provide a perspective review of the most extensively investigated deep learning (DL) applications for musculoskeletal disease detection that have the best potential to translate into routine clinical practice over the next decade. D...
Deep learning-based automated detection and segmentation of bone and traumatic bone marrow lesions from MRI following an acute ACL tear.
Computers in biology and medicine
Jun 20, 2024
INTRODUCTION: Traumatic bone marrow lesions (BML) are frequently identified on knee MRI scans in patients following an acute full-thickness, complete ACL tear. BMLs coincide with regions of elevated localized bone loss, and studies suggest these may ...
[Development of a Deep Learning Model for Judging Late Gadolinium-enhancement in Cardiac MRI].
Nihon Hoshasen Gijutsu Gakkai zasshi
Jun 20, 2024
PURPOSE: To verify the usefulness of a deep learning model for determining the presence or absence of contrast-enhanced myocardium in late gadolinium-enhancement images in cardiac MRI.
The intelligent imaging revolution: artificial intelligence in MRI and MRS acquisition and reconstruction.
Magma (New York, N.Y.)
Jun 20, 2024
Image2Flow: A proof-of-concept hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data.
PLoS computational biology
Jun 20, 2024
Computational fluid dynamics (CFD) can be used for non-invasive evaluation of hemodynamics. However, its routine use is limited by labor-intensive manual segmentation, CFD mesh creation, and time-consuming simulation. This study aims to train a deep ...
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