This systematic literature review investigates the influential factors guiding researchers'
active engagement in open science through research data sharing and subsequent reuse …

Abstract The power of Deep Learning applications is currently shaping the future of society.
Deep neural approaches, such as image classification, are used on several fronts and …

Hepatocellular carcinoma (HCC) is a major cause of cancer-related deaths worldwide. This
review explores the recent progress in the application of artificial intelligence (AI) in …

At the foundation of developing artificial intelligence (AI) platforms is the AI programming
process. It is composed of three general parts: developing learning procedures, developing …

This study examines the realism of medical images created with deep generative models,
specifically their replication of aging and Alzheimer's disease (AD) related anatomical …

METHODS: Demographic and clinical characteristics were captured for patients with
traumatic thoracolumbar fractures undergoing percutaneous pedicle screw fixation by a …

Computer-aided detection systems based on deep learning have shown great potential in
breast cancer detection. However, the lack of domain generalization of artificial neural …

In chapter 7, Wilver et al have proposed a methodology for the creation and evaluation of a
database of medical images. For any deep learning-based solution the dataset is one of the …

Klinisch verfügbare KI (künstliche Intelligenz)-basierte Lösungen dienen der
Prozessoptimierung und der Objektivierung bildbasierter Quantifizierung für die kardiale …

The annotation of medical images is a critical task for many downstream applications.
However, the lack of a unified annotation nomenclature has resulted in inconsistency and …