39 citations · 44 across the 3 of their papers we have counts for
3 papers
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah +117
Despite major advances in artificial intelligence (AI) for medicine and healthcare, the deployment and adoption of AI technologies remain limited in real-world clinical practice. I…
A new smart-cropping pipeline for prostate segmentation using deep learning networks
Dimitrios G. Zaridis, Eugenia Mylona, Nikolaos S. Tachos +4
Prostate segmentation from magnetic resonance imaging (MRI) is a challenging task. In recent years, several network architectures have been proposed to automate this process and al…
A multicenter study on radiomic features from T-weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics
Linda Bianchini, Joao Santinha, Nuno Loução +7
In this study we investigated the repeatability and reproducibility of radiomic features extracted from MRI images and provide a workflow to identify robust features. 2D and 3D T$_…