European journal of nuclear medicine and molecular imaging
Sep 14, 2022
PURPOSE: Deep learning (DL) models have been shown to outperform total perfusion deficit (TPD) quantification in predicting obstructive coronary artery disease (CAD) from myocardial perfusion imaging (MPI). However, previously published methods have ...
OBJECTIVE: To compare the reliability of cephalometric landmark identification by an automated tracing software based on convolutional neural networks to human tracers.
We aimed to compare three robot-assisted radical prostatectomy (RARP) approaches-Retzius sparing (RS), extraperitoneal (EP), and transperitoneal (TP)-performed at our institution using the da Vinci single-port (SP) platform (Intuitive Surgical, Sunn...
In the last decade, convolutional neural networks (ConvNets) have been a major focus of research in medical image analysis. However, the performances of ConvNets may be limited by a lack of explicit consideration of the long-range spatial relationshi...
The three horizons model is a framework that helps manage an organization's innovation strategy. This model considers three aspects (horizons) that should be present in the institution and guide the development of new systems. Applied to medical scie...
Complex kidney cysts are rarely observed in childhood. In adult patients, when radiological studies found a suspicious renal lesion, the gold standard is surgical asportation. The robotic surgery is well known as a secure procedure for treatment thes...
Journal of magnetic resonance (San Diego, Calif. : 1997)
Sep 14, 2022
Bias field is one of the main artifacts that degrade the quality of magnetic resonance images. It introduces intensity inhomogeneity and affects image analysis such as segmentation. In this work, we proposed a deep learning approach to jointly estima...
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