AIMC Topic:
Magnetic Resonance Imaging
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Prospective cohort study on mesh shrinkage measured with MRI after robot-assisted minimal invasive retrorectus ventral hernia repair using an iron-oxide-loaded polyvinylidene fluoride mesh.
Surgical endoscopy
Feb 28, 2023
BACKGROUND: Mesh-reinforced ventral hernia repair is considered the gold standard treatment for all but the smallest of hernias. Human data on mesh shrinkage in the retrorectus mesh position is lacking. A prospective observational cohort study was pe...
SAN-Net: Learning generalization to unseen sites for stroke lesion segmentation with self-adaptive normalization.
Computers in biology and medicine
Feb 28, 2023
There are considerable interests in automatic stroke lesion segmentation on magnetic resonance (MR) images in the medical imaging field, as stroke is an important cerebrovascular disease. Although deep learning-based models have been proposed for thi...
Editorial for "Implementable Deep Learning for Multi-sequence Proton MRI Lung Segmentation: A Multi-center, Multi-vendor and Multi-disease Study".
Journal of magnetic resonance imaging : JMRI
Feb 27, 2023
Calibrationless reconstruction of uniformly-undersampled multi-channel MR data with deep learning estimated ESPIRiT maps.
Magnetic resonance in medicine
Feb 27, 2023
PURPOSE: To develop a truly calibrationless reconstruction method that derives An Eigenvalue Approach to Autocalibrating Parallel MRI (ESPIRiT) maps from uniformly-undersampled multi-channel MR data by deep learning.
Automatic placental and fetal volume estimation by a convolutional neural network.
Placenta
Feb 27, 2023
INTRODUCTION: We aimed to develop an artificial intelligence (AI) deep learning algorithm to efficiently estimate placental and fetal volumes from magnetic resonance (MR) scans.
The Current State of Susceptibility-Weighted Imaging and Quantitative Susceptibility Mapping in Head Trauma.
Neuroimaging clinics of North America
Feb 26, 2023
Susceptibility-weighted imaging (SWI) is a MR imaging technique suited to detect structural and microstructural abnormalities in traumatic brain injury (TBI). This review article provide an insight in to the physics principles of SWI and its clinical...
Artificial neural network modelling of the neural population code underlying mathematical operations.
NeuroImage
Feb 26, 2023
Mathematical operations have long been regarded as a sparse, symbolic process in neuroimaging studies. In contrast, advances in artificial neural networks (ANN) have enabled extracting distributed representations of mathematical operations. Recent ne...
Deep-Learning Models for Detection and Localization of Visible Clinically Significant Prostate Cancer on Multi-Parametric MRI.
Journal of magnetic resonance imaging : JMRI
Feb 24, 2023
BACKGROUND: Deep learning for diagnosing clinically significant prostate cancer (csPCa) is feasible but needs further evaluation in patients with prostate-specific antigen (PSA) levels of 4-10 ng/mL.
Magnetic resonance shoulder imaging using deep learning-based algorithm.
European radiology
Feb 24, 2023
OBJECTIVE: To investigate the feasibility of deep learning-based MRI (DL-MRI) in its application in shoulder imaging and compare its performance with conventional MR imaging (non-DL-MRI).
Image-based estimation of the left ventricular cavity volume using deep learning and Gaussian process with cardio-mechanical applications.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Feb 24, 2023
In this investigation, an image-based method has been developed to estimate the volume of the left ventricular cavity using cardiac magnetic resonance (CMR) imaging data. Deep learning and Gaussian processes have been applied to bring the estimations...
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