Results 31 to 40 of about 178,265 (282)

The accuracy of three-dimensional prediction of soft tissue changes following the surgical correction of facial asymmetry: an innovative concept [PDF]

open access: yes, 2017
The accuracy of three-dimensional (3D) predictions of soft tissue changes in the surgical correction of facial asymmetry was evaluated in this study. Preoperative (T1) and 6–12-month postoperative (T2) cone beam computed tomography scans of 13 patients ...
Almukhtar, A.   +3 more
core   +1 more source

Individual differences in human path integration abilities correlate with gray matter volume in retrosplenial cortex, hippocampus, and medial prefrontal cortex [PDF]

open access: yes, 2017
Humans differ in their individual navigational abilities. These individual differences may exist in part because successful navigation relies on several disparate abilities, which rely on different brain structures.
Aselcioglu, Irem   +4 more
core   +1 more source

Computational fluid dynamics modeling of symptomatic intracranial atherosclerosis may predict risk of stroke recurrence. [PDF]

open access: yes, 2014
BackgroundPatients with symptomatic intracranial atherosclerosis (ICAS) of ≥ 70% luminal stenosis are at high risk of stroke recurrence. We aimed to evaluate the relationships between hemodynamics of ICAS revealed by computational fluid dynamics (CFD ...
Chen, Xiangyan   +13 more
core   +3 more sources

Should Modeling Methodology Suppress Anatomic Excellence? [PDF]

open access: yesStroke, 2009
See related article, pages 3511–3517. Wardlaw and colleagues1 use modeling to validate noninvasive imaging instead of intra-arterial angiography (IAA) for carotid stenosis. They conclude that duplex ultrasound (DUS) is best. There are not sufficient data with CT angiography (CTA) and MR angiography. Yet carotid CTA gives excellent anatomic depiction,
Allan J, Fox   +5 more
openaire   +2 more sources

PadChest: A large chest x-ray image dataset with multi-label annotated reports [PDF]

open access: yes, 2019
We present a labeled large-scale, high resolution chest x-ray dataset for the automated exploration of medical images along with their associated reports.
Bustos, Aurelia   +3 more
core   +2 more sources

Determining the optimum high-flow nasal cannula flow rate to achieve the desired fraction of inspired oxygen: A bench study

open access: yesJournal of the Formosan Medical Association
Background: Purpose: High-flow nasal cannula (HFNC) has many benefits in various clinical conditions. The original hypothesis suggests that the high and constant fraction of inspired oxygen (FiO2) is one of the main physiological effects.
Chao-Lan Huang   +7 more
doaj   +1 more source

Porcine Models of Spinal Cord Injury

open access: yesBiomedicines, 2023
Large animal models of spinal cord injury may be useful tools in facilitating the development of translational therapies for spinal cord injury (SCI).
Connor A. Wathen   +5 more
doaj   +1 more source

Emerging technologies to create inducible and genetically defined porcine cancer models

open access: yesFrontiers in Genetics, 2016
There is an emerging need for new animal models that address unmet translational cancer research requirements. Transgenic porcine models provide an exceptional opportunity due to their genetic, anatomic and physiological similarities with humans.
Lawrence B Schook   +6 more
doaj   +1 more source

Radiologist-Trained and -Tested (R2.2.4) Deep Learning Models for Identifying Anatomical Landmarks in Chest CT

open access: yesDiagnostics, 2022
(1) Background: Optimal anatomic coverage is important for radiation-dose optimization. We trained and tested (R2.2.4) two (R3-2) deep learning (DL) algorithms on a machine vision tool library platform (Cognex Vision Pro Deep Learning software) to ...
Parisa Kaviani   +8 more
doaj   +1 more source

Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning

open access: yes, 2017
The main goal of this study is to extract a set of brain networks in multiple time-resolutions to analyze the connectivity patterns among the anatomic regions for a given cognitive task.
Alchihabi, Abdullah   +4 more
core   +1 more source

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