AIMC Topic:
Magnetic Resonance Imaging
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Complexities of deep learning-based undersampled MR image reconstruction.
European radiology experimental
Oct 4, 2023
Artificial intelligence has opened a new path of innovation in magnetic resonance (MR) image reconstruction of undersampled k-space acquisitions. This review offers readers an analysis of the current deep learning-based MR image reconstruction method...
Editorial for "Deep Learning-Based T2-Weighted MR Image Quality Assessment and Its Impact on Prostate Cancer Detection Rates".
Journal of magnetic resonance imaging : JMRI
Oct 3, 2023
Test Retest Reproducibility of Organ Volume Measurements in ADPKD Using 3D Multimodality Deep Learning.
Academic radiology
Oct 3, 2023
RATIONALE AND OBJECTIVES: Following autosomal dominant polycystic kidney disease (ADPKD) progression by measuring organ volumes requires low measurement variability. The objective of this study is to reduce organ volume measurement variability on MRI...
Multimodal imaging-based material mass density estimation for proton therapy using supervised deep learning.
The British journal of radiology
Oct 3, 2023
OBJECTIVE: Mapping CT number to material property dominates the proton range uncertainty. This work aims to develop a physics-constrained deep learning-based multimodal imaging (PDMI) framework to integrate physics, deep learning, MRI, and advanced d...
Deep Learning Based Parameterization of Diffeomorphic Image Registration for Cardiac Image Segmentation.
IEEE transactions on nanobioscience
Oct 3, 2023
Cardiac segmentation from magnetic resonance imaging (MRI) is one of the essential tasks in analyzing the anatomy and function of the heart for the assessment and diagnosis of cardiac diseases. However, cardiac MRI generates hundreds of images per sc...
Diagnostic test accuracy study of a commercially available deep learning algorithm for ischemic lesion detection on brain MRIs in suspected stroke patients from a non-comprehensive stroke center.
European journal of radiology
Sep 29, 2023
PURPOSE: To estimate the ability of a commercially available artificial intelligence (AI) tool to detect acute brain ischemia on Magnetic Resonance Imaging (MRI), compared to an experienced neuroradiologist.
CT-based volumetric measures obtained through deep learning: Association with biomarkers of neurodegeneration.
Alzheimer's & dementia : the journal of the Alzheimer's Association
Sep 28, 2023
INTRODUCTION: Cranial computed tomography (CT) is an affordable and widely available imaging modality that is used to assess structural abnormalities, but not to quantify neurodegeneration. Previously we developed a deep-learning-based model that pro...
A deep learning image analysis method for renal perfusion estimation in pseudo-continuous arterial spin labelling MRI.
Magnetic resonance imaging
Sep 28, 2023
Accurate segmentation of renal tissues is an essential step for renal perfusion estimation and postoperative assessment of the allograft. Images are usually manually labeled, which is tedious and prone to human error. We present an image analysis met...
Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia.
Journal of neural engineering
Sep 28, 2023
(SCZ) is a severe mental disorder associated with persistent or recurrent psychosis, hallucinations, delusions, and thought disorders that affect approximately 26 million people worldwide, according to the World Health Organization. Several studies e...
Non-Metallic MR-Guided Concentric Tube Robot for Intracerebral Hemorrhage Evacuation.
IEEE transactions on bio-medical engineering
Sep 27, 2023
OBJECTIVE: We aim to develop and evaluate an MR-conditional concentric tube robot for intracerebral hemorrhage (ICH) evacuation.
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