AIMC Topic: Magnetic Resonance Imaging

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Quality gaps in public pancreas imaging datasets: Implications & challenges for AI applications.

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] Apr 2, 2021
OBJECTIVE: Quality gaps in medical imaging datasets lead to profound errors in experiments. Our objective was to characterize such quality gaps in public pancreas imaging datasets (PPIDs), to evaluate their impact on previously published studies, and...
Artificial Intelligence Adenocarcinoma Magnetic Resonance Imaging Humans Pancreatic Neoplasms Pancreas
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Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics for Prediction of H3K27M Mutation in Midline Gliomas.

World neurosurgery Apr 2, 2021
OBJECTIVE: H3K27M mutation in gliomas has prognostic implications. Previous magnetic resonance imaging (MRI) studies have reported variable rates of tumoral enhancement, necrotic changes, and peritumoral edema in H3K27M-mutant gliomas, with no distin...
Machine Learning Algorithms Female Reproducibility of Results Humans Histones Predictive Value of Tests Area Under Curve Mutation Adolescent Cohort Studies Child Glioma Magnetic Resonance Imaging ROC Curve Young Adult Brain Neoplasms Image Processing, Computer-Assisted Male Adult Middle Aged Sensitivity and Specificity
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An end-to-end-trainable iterative network architecture for accelerated radial multi-coil 2D cine MR image reconstruction.

Medical physics Apr 1, 2021
PURPOSE: Iterative convolutional neural networks (CNNs) which resemble unrolled learned iterative schemes have shown to consistently deliver state-of-the-art results for image reconstruction problems across different imaging modalities. However, beca...
Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging Magnetic Resonance Imaging, Cine
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A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI.

IEEE transactions on medical imaging Apr 1, 2021
Fetal cortical plate segmentation is essential in quantitative analysis of fetal brain maturation and cortical folding. Manual segmentation of the cortical plate, or manual refinement of automatic segmentations is tedious and time-consuming. Automati...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Cerebral Cortex Fetus Neural Networks, Computer
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Examining the Coding Strength of Object Identity and Nonidentity Features in Human Occipito-Temporal Cortex and Convolutional Neural Networks.

The Journal of neuroscience : the official journal of the Society for Neuroscience Mar 31, 2021
A visual object is characterized by multiple visual features, including its identity, position and size. Despite the usefulness of identity and nonidentity features in vision and their joint coding throughout the primate ventral visual processing pat...
Visual Pathways Pattern Recognition, Visual Temporal Lobe Occipital Lobe Male Humans Female Nerve Net Young Adult Neural Networks, Computer Adolescent Photic Stimulation Adult Machine Learning Magnetic Resonance Imaging Visual Perception
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Editorial for "Improved Quantification of Myocardium Scar in Late Gadolinium Enhancement Images: Deep Learning Based Image Fusion Approach".

Journal of magnetic resonance imaging : JMRI Mar 29, 2021
Humans Deep Learning Contrast Media Magnetic Resonance Imaging Cicatrix Myocardium Gadolinium Image Enhancement
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Computer-aided diagnosis and regional segmentation of nasopharyngeal carcinoma based on multi-modality medical images.

International journal of computer assisted radiology and surgery Mar 29, 2021
PURPOSE: Nasopharyngeal carcinoma (NPC) is a category of tumors with high incidence in head-and-neck (H&N) body region, and the diagnosis and treatment planning are usually conducted by radiologists manually, which is tedious, time-consuming and unre...
Nasopharyngeal Carcinoma Nasopharyngeal Neoplasms Tomography, X-Ray Computed Diagnosis, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Algorithms
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Recent Advances in Imaging of Preclinical, Sporadic, and Autosomal Dominant Alzheimer's Disease.

Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics Mar 29, 2021
Observing Alzheimer's disease (AD) pathological changes in vivo with neuroimaging provides invaluable opportunities to understand and predict the course of disease. Neuroimaging AD biomarkers also allow for real-time tracking of disease-modifying tre...
Longitudinal Studies Magnetic Resonance Imaging Amyloid beta-Peptides Neuroimaging tau Proteins Alzheimer Disease Positron-Emission Tomography Humans Machine Learning Biomarkers
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U-net model for brain extraction: Trained on humans for transfer to non-human primates.

NeuroImage Mar 28, 2021
Brain extraction (a.k.a. skull stripping) is a fundamental step in the neuroimaging pipeline as it can affect the accuracy of downstream preprocess such as image registration, tissue classification, etc. Most brain extraction tools have been designed...
Macaca Humans Neural Networks, Computer Feasibility Studies Datasets as Topic Adult Neuroimaging Animals Brain Image Processing, Computer-Assisted Male Female Models, Theoretical Middle Aged Young Adult Magnetic Resonance Imaging
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Transfer learning in deep neural network-based receiver coil sensitivity map estimation.

Magma (New York, N.Y.) Mar 27, 2021
INTRODUCTION: The success of parallel Magnetic Resonance Imaging algorithms like SENSitivity Encoding (SENSE) depends on an accurate estimation of the receiver coil sensitivity maps. Deep learning-based receiver coil sensitivity map estimation depend...
Magnetic Resonance Imaging Signal-To-Noise Ratio Neural Networks, Computer Machine Learning Algorithms Image Processing, Computer-Assisted
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