AIMC Topic:
Magnetic Resonance Imaging
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Deep Learning-Based Ensembling Technique to Classify Alzheimer's Disease Stages Using Functional MRI.
Journal of healthcare engineering
Nov 3, 2023
The major issue faced by elderly people in society is the loss of memory, difficulty learning new things, and poor judgment. This is due to damage to brain tissues, which may lead to cognitive impairment and eventually Alzheimer's. Therefore, the det...
Optimized 3D brachial plexus MR neurography using deep learning reconstruction.
Skeletal radiology
Nov 2, 2023
OBJECTIVE: To evaluate whether 'fast,' unilateral, brachial plexus, 3D magnetic resonance neurography (MRN) acquisitions with deep learning reconstruction (DLR) provide similar image quality to longer, 'standard' scans without DLR.
Human lower leg muscles grow asynchronously.
Journal of anatomy
Nov 2, 2023
Muscle volume must increase substantially during childhood growth to generate the power required to propel the growing body. One unresolved but fundamental question about childhood muscle growth is whether muscles grow at equal rates; that is, if mus...
Research related to the diagnosis of prostate cancer based on machine learning medical images: A review.
International journal of medical informatics
Nov 2, 2023
BACKGROUND: Prostate cancer is currently the second most prevalent cancer among men. Accurate diagnosis of prostate cancer can provide effective treatment for patients and greatly reduce mortality. The current medical imaging tools for screening pros...
Letter to the Editor: "Accurate measurement of magnetic resonance parkinsonism index by a fully automatic and deep learning quantification pipeline".
European radiology
Nov 2, 2023
Multi-class glioma segmentation on real-world data with missing MRI sequences: comparison of three deep learning algorithms.
Scientific reports
Nov 2, 2023
This study tests the generalisability of three Brain Tumor Segmentation (BraTS) challenge models using a multi-center dataset of varying image quality and incomplete MRI datasets. In this retrospective study, DeepMedic, no-new-Unet (nn-Unet), and NVI...
Patients' Trust in Artificial Intelligence-based Decision-making for Localized Prostate Cancer: Results from a Prospective Trial.
European urology focus
Nov 1, 2023
BACKGROUND: Artificial intelligence (AI) has the potential to enhance diagnostic accuracy and improve treatment outcomes. However, AI integration into clinical workflows and patient perspectives remain unclear.
Deep Learning Framework for Liver Segmentation from -Weighted MRI Images.
Sensors (Basel, Switzerland)
Nov 1, 2023
The human liver exhibits variable characteristics and anatomical information, which is often ambiguous in radiological images. Machine learning can be of great assistance in automatically segmenting the liver in radiological images, which can be furt...
Deep-Learning-Based Mixture Identification for Nuclear Magnetic Resonance Spectroscopy Applied to Plant Flavors.
Molecules (Basel, Switzerland)
Nov 1, 2023
Nuclear magnetic resonance (NMR) is a crucial technique for analyzing mixtures consisting of small molecules, providing non-destructive, fast, reproducible, and unbiased benefits. However, it is challenging to perform mixture identification because o...
Reducing Gadolinium Contrast With Artificial Intelligence.
Journal of magnetic resonance imaging : JMRI
Oct 31, 2023
Gadolinium contrast is an important agent in magnetic resonance imaging (MRI), particularly in neuroimaging where it can help identify blood-brain barrier breakdown from an inflammatory, infectious, or neoplastic process. However, gadolinium contrast...
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