AIMC Topic: Aorta

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A Cascaded Deep Learning Framework for Detecting Aortic Dissection Using Non-contrast Enhanced Computed Tomography.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Aortic dissection (AD) is a rare but potentially fatal disease with high mortality. The aim of this study is to synthesize contrast enhanced computed tomography (CE-CT) images from non-contrast CT (NCE-CT) images for detecting aortic dissection. In t...
Tomography, X-Ray Computed Deep Learning Aortic Dissection Aorta Humans
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Machine Learning and Deep Neural Network Applications in the Thorax: Pulmonary Embolism, Chronic Thromboembolic Pulmonary Hypertension, Aorta, and Chronic Obstructive Pulmonary Disease.

Journal of thoracic imaging May 1, 2020
The radiologic community is rapidly integrating a revolution that has not fully entered daily practice. It necessitates a close collaboration between computer scientists and radiologists to move from concepts to practical applications. This article r...
Radiographic Image Interpretation, Computer-Assisted Pulmonary Embolism Hypertension, Pulmonary Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive Aorta Neural Networks, Computer Chronic Disease Aortic Aneurysm Machine Learning Humans
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Classification of Aortic Dissection and Rupture on Post-contrast CT Images Using a Convolutional Neural Network.

Journal of digital imaging Dec 1, 2019
Aortic dissections and ruptures are life-threatening injuries that must be immediately treated. Our national radiology practice receives dozens of these cases each month, but no automated process is currently available to check for critical pathologi...
Neural Networks, Computer Prospective Studies Tomography, X-Ray Computed Female Humans Aortic Dissection Aorta Radiographic Image Enhancement Aortic Rupture Reproducibility of Results Middle Aged Sensitivity and Specificity Contrast Media Male Radiographic Image Interpretation, Computer-Assisted
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Characterization of Helical Propulsion Inside In Vitro and Ex Vivo Models of a Rabbit Aorta.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
In this work, the propulsion of a helical robot is experimentally characterized inside whole blood (in vitro model) and against the flowing streams of phosphate buffered saline (PBS) inside rabbit aorta (ex vivo model). The helical robot is magnetica...
Models, Biological Rabbits Magnetic Fields Animals Robotics Blood Flow Velocity Aorta
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A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis.

Journal of the Royal Society, Interface Jan 1, 2018
Structural finite-element analysis (FEA) has been widely used to study the biomechanics of human tissues and organs, as well as tissue-medical device interactions, and treatment strategies. However, patient-specific FEA models usually require complex...
Models, Cardiovascular Humans Computer Simulation Deep Learning Stress, Mechanical Aorta Finite Element Analysis
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Association of Multiorgan Computed Tomographic Phenomap With Adverse Cardiovascular Health Outcomes: The Framingham Heart Study.

JAMA cardiology Nov 1, 2017
IMPORTANCE: Increased ability to quantify anatomical phenotypes across multiple organs provides the opportunity to assess their cumulative ability to identify individuals at greatest susceptibility for adverse outcomes.
Aorta Vascular Calcification Heart Valves Proof of Concept Study Intra-Abdominal Fat Tomography, X-Ray Computed Mortality Female Aged Cardiovascular Diseases Middle Aged Adult Male Humans Phenotype Unsupervised Machine Learning Cause of Death Adipose Tissue Risk Assessment Myocardial Infarction Stroke Principal Component Analysis Longitudinal Studies Cohort Studies Coronary Vessels Liver United States Muscle, Skeletal
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Prediction of individual prosthesis size for valve-sparing aortic root reconstruction based on geometric features.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Valve-sparing aortic root reconstruction is an up- and-coming approach for patients suffering from aortic valve insufficiencies which promises to significantly reduce complications. However, the success of the treatment strongly depends on the challe...
Sus scrofa Aortic Valve Aged Ultrasonics Humans Blood Vessel Prosthesis Animals Prosthesis Design Algorithms Heart Valve Prosthesis Models, Theoretical Heart Valve Prosthesis Implantation Female Aorta
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[MODERN TECHNOLOGIES OF THE SAVING OF PATIENT'S BLOOD AND REDUCTION OF THE USE OF DONOR BLOOD DURING OPERATIONS ON THE ASCENDING AORTA AND AORTIC ARCH].

Anesteziologiia i reanimatologiia Jan 1, 2015
Questions of saving of the patient's blood and limitation of the use of donated blood in the aortic surgery remain relevant in contrast with interventions on the valves of the heart and coronary arteries. In this regard, the aim of the study was to d...
Circulatory Arrest, Deep Hypothermia Induced Female Vascular Surgical Procedures Male Aorta Blood Transfusion, Autologous Hemodynamics Hemoglobins Middle Aged Erythrocyte Transfusion Blood Donors Treatment Outcome Aorta, Thoracic Operative Blood Salvage Humans
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