2 results match your criteria: "From the Clinical Research Institute[Affiliation]"
Evaluation of Diffusion Lesion Volume Measurements in Acute Ischemic Stroke Using Encoder-Decoder Convolutional Network.
Stroke
June 2019
Department of Neurology (J.-E.L., I.Y., H.-N.S., I.-Y.B., J.-W.C., O.Y.B., G.-M.K., W.-K.S.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea.
Background and Purpose- Automatic segmentation of cerebral infarction on diffusion-weighted imaging (DWI) is typically performed based on a fixed apparent diffusion coefficient (ADC) threshold. Fixed ADC threshold methods may not be accurate because ADC values vary over time after stroke onset. Deep learning has the potential to improve the accuracy, provided that a large set of correctly annotated lesion data is used for training.
View Article and Find Full Text PDFThe low pressure stent observational trial on the procedural and mid-term outcome of a trapezoid-shaped coronary stent (LOPSTER).
J Interv Cardiol
October 2005
From the Clinical Research Institute, Rotenburg an der Fulda, Germany.
Background: Stent design influences the procedural and mid-term results of coronary interventions. The trapezoid-shaped struts of the low pressure stent (LP-Stent) might improve the outcome by reducing the vascular trauma at deployment.
Methods: A total of 133 patients (64.