AIMC Topic: Magnetic Resonance Imaging
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Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment.
Proceedings of the National Academy of Sciences of the United States of America
Jan 3, 2023
The gap between chronological age (CA) and biological brain age, as estimated from magnetic resonance images (MRIs), reflects how individual patterns of neuroanatomic aging deviate from their typical trajectories. MRI-derived brain age (BA) estimates...
Towards better interpretable and generalizable AD detection using collective artificial intelligence.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jan 2, 2023
Alzheimer's Disease is the most common cause of dementia. Accurate diagnosis and prognosis of this disease are essential to design an appropriate treatment plan, increasing the life expectancy of the patient. Intense research has been conducted on th...
Automatic detection of brain tumors with the aid of ensemble deep learning architectures and class activation map indicators by employing magnetic resonance images.
Zeitschrift fur medizinische Physik
Dec 31, 2022
Today, as in every life-threatening disease, early diagnosis of brain tumors plays a life-saving role. The brain tumor is formed by the transformation of brain cells from their normal structures into abnormal cell structures. These formed abnormal ce...
Automated MR Image Prescription of the Liver Using Deep Learning: Development, Evaluation, and Prospective Implementation.
Journal of magnetic resonance imaging : JMRI
Dec 30, 2022
BACKGROUND: There is an unmet need for fully automated image prescription of the liver to enable efficient, reproducible MRI.
External Validation of SpineNet, an Open-Source Deep Learning Model for Grading Lumbar Disk Degeneration MRI Features, Using the Northern Finland Birth Cohort 1966.
Spine
Dec 30, 2022
STUDY DESIGN: This is a retrospective observational study to externally validate a deep learning image classification model.
A Deep Learning Workflow for Mass-Forming Intrahepatic Cholangiocarcinoma and Hepatocellular Carcinoma Classification Based on MRI.
Current oncology (Toronto, Ont.)
Dec 30, 2022
OBJECTIVE: Precise classification of mass-forming intrahepatic cholangiocarcinoma (MF-ICC) and hepatocellular carcinoma (HCC) based on magnetic resonance imaging (MRI) is crucial for personalized treatment strategy. The purpose of the present study w...
Deep Learning for Brain MRI Confirms Patterned Pathological Progression in Alzheimer's Disease.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Dec 27, 2022
Deep learning (DL) on brain magnetic resonance imaging (MRI) data has shown excellent performance in differentiating individuals with Alzheimer's disease (AD). However, the value of DL in detecting progressive structural MRI (sMRI) abnormalities link...
Prostate cancer malignancy detection and localization from mpMRI using auto-deep learning as one step closer to clinical utilization.
Scientific reports
Dec 27, 2022
Automatic diagnosis of malignant prostate cancer patients from mpMRI has been studied heavily in the past years. Model interpretation and domain drift have been the main road blocks for clinical utilization. As an extension from our previous work we ...
Automated estimation of ischemic core volume on noncontrast-enhanced CT via machine learning.
Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences
Dec 26, 2022
BACKGROUND: Accurate estimation of ischemic core on baseline imaging has treatment implications in patients with acute ischemic stroke (AIS). Machine learning (ML) algorithms have shown promising results in estimating ischemic core using routine nonc...
Usefulness of Breath-Hold Fat-Suppressed T2-Weighted Images With Deep Learning-Based Reconstruction of the Liver: Comparison to Conventional Free-Breathing Turbo Spin Echo.
Investigative radiology
Dec 26, 2022
OBJECTIVES: The aim of this study was to evaluate the usefulness of breath-hold turbo spin echo with deep learning-based reconstruction (BH-DL-TSE) in acquiring fat-suppressed T2-weighted images (FS-T2WI) of the liver by comparing this method with co...
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