AIMC Topic:
Magnetic Resonance Imaging

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CNN-Res: deep learning framework for segmentation of acute ischemic stroke lesions on multimodal MRI images.

BMC medical informatics and decision making Sep 26, 2023
BACKGROUND: Accurate segmentation of stroke lesions on MRI images is very important for neurologists in the planning of post-stroke care. Segmentation helps clinicians to better diagnose and evaluation of any treatment risks. However, manual segmenta...
Ischemic Stroke Humans Stroke Neural Networks, Computer Deep Learning Magnetic Resonance Imaging
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Editorial for "Deep Learning for Discrimination of Hypertrophic Cardiomyopathy and Hypertensive Heart Disease on MRI Native T1 Maps".

Journal of magnetic resonance imaging : JMRI Sep 22, 2023
Magnetic Resonance Imaging Myocardium Deep Learning Humans Cardiomyopathy, Hypertrophic Hypertension
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Deep learning enabled fast 3D brain MRI at 0.055 tesla.

Science advances Sep 22, 2023
In recent years, there has been an intensive development of portable ultralow-field magnetic resonance imaging (MRI) for low-cost, shielding-free, and point-of-care applications. However, its quality is poor and scan time is long. We propose a fast a...
Humans Brain Point-of-Care Systems Deep Learning Magnetic Resonance Imaging
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Deep-Learning-Aided Evaluation of Spondylolysis Imaged with Ultrashort Echo Time Magnetic Resonance Imaging.

Sensors (Basel, Switzerland) Sep 21, 2023
Isthmic spondylolysis results in fracture of pars interarticularis of the lumbar spine, found in as many as half of adolescent athletes with persistent low back pain. While computed tomography (CT) is the gold standard for the diagnosis of spondyloly...
Deep Learning Adolescent Spondylolysis Humans Magnetic Resonance Imaging Tomography, X-Ray Computed Fractures, Bone
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Preliminary exploration of deep learning-assisted recognition of superior labrum anterior and posterior lesions in shoulder MR arthrography.

International orthopaedics Sep 20, 2023
PURPOSE: MR arthrography (MRA) is the most accurate method for preoperatively diagnosing superior labrum anterior-posterior (SLAP) lesions, but diagnostic results can vary considerably due to factors such as experience. In this study, deep learning w...
Humans Sensitivity and Specificity Deep Learning Magnetic Resonance Imaging Retrospective Studies Reproducibility of Results Shoulder Injuries Shoulder Joint Arthrography Arthroscopy Shoulder
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Predicting 'Brainage' in late childhood to adolescence (6-17yrs) using structural MRI, morphometric similarity, and machine learning.

Scientific reports Sep 20, 2023
Brain development is regularly studied using structural MRI. Recently, studies have used a combination of statistical learning and large-scale imaging databases of healthy children to predict an individual's age from structural MRI. This data-driven,...
Benchmarking Healthy Volunteers Child Magnetic Resonance Imaging Databases, Factual Adolescent Humans Machine Learning
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A novel diagnostic tool to differentiate primary origin of brain metastases: Deep learning-based radiomics.

Journal of clinical ultrasound : JCU Sep 20, 2023
Magnetic Resonance Imaging Brain Neoplasms Deep Learning Humans Retrospective Studies
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Imaging of Solid Pulmonary Nodules.

Clinics in chest medicine Sep 19, 2023
Early detection with accurate classification of solid pulmonary nodules is critical in reducing lung cancer morbidity and mortality. Computed tomography (CT) remains the most widely used imaging examination for pulmonary nodule evaluation; however, o...
Multiple Pulmonary Nodules Lung Neoplasms Early Detection of Cancer Humans Solitary Pulmonary Nodule Positron Emission Tomography Computed Tomography Magnetic Resonance Imaging Tomography, X-Ray Computed
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Selecting cardiac magnetic resonance images suitable for annotation of pulmonary arteries using an active-learning based deep learning model.

Scientific reports Sep 19, 2023
An increasing and aging patient population poses a growing burden on healthcare professionals. Automation of medical imaging diagnostics holds promise for enhancing patient care and reducing manpower required to accommodate an increasing patient-popu...
Humans Pulmonary Artery Aging Magnetic Resonance Imaging Deep Learning Problem-Based Learning
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A state-of-the-art review on deep learning for estimating eloquent cortex from resting-state fMRI.

Neurosurgical review Sep 19, 2023
Deep learning algorithms have greatly improved our ability to estimate eloquent cortex regions from resting-state brain scans for patients about to undergo neurosurgery. The use of deep learning has the potential to fully automate functional mapping ...
Humans Magnetic Resonance Imaging Neuroimaging Cerebral Cortex Algorithms Deep Learning
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