… In this manuscript, a deep learning 3D CNN architecture for the automatic segmentation
of the prostate and the zonal anatomy on T2 MRIs, collected from two MRI-vendors, is …

… There is little evidence on the applicability of deep learning (… vendor operability of deep
learning for the segmentation of ischemic lesions on DWI might be enhanced via transfer learning…

… In conclusion, an automatic system using both deep learning and radiomics methods was
develop to segment the coronary artery, detect and classify plaque, and grade the stenosis. …

… To compare the dose reduction potential (DRP) of a vendor-agnostic deep learning model
(DLM, ClariCT.AI) with that of a vendor-specific deep learning–based image reconstruction …

… vendors in a test stage. Therefore, the aim of the present study was to investigate whether
deep learning … contrast-enhanced chest CT using data from different vendors in the test stage. …

… • A vendor-agnostic deep learning post-processing algorithm … to vendor-specific deep
learning algorithm and ASiR techniques. … a vendor-agnostic deep learning model and a vendor-…

… the same conditions (eg, vendors and acquisition protocols). This … Therefore, we propose
a framework to harmonize multi-vendor … histogram-based method and deep learning model). …

… Our chest CT dataset is input to the vendor algorithms for processing. Vendors were …
Therefore, our analysis assessed only the vendor nodule detection and classification feature…

… Deep learning (DL) approaches have taken over the field of automatic segmentation in
recent years, however they are limited by data availability and the additional variability …

… The vendor-agnostic deep learning denoising algorithm provided significantly superior results
in the subjective as well as in the objective analysis of ncCT images of patients with minor …