Even though radiomics can hold great potential for supporting clinical decision-making, its
current use is mostly limited to academic research, without applications in routine clinical …

Synthetic computed tomography (sCT) generated from magnetic resonance imaging (MRI)
can serve as a substitute for planning CT in radiation therapy (RT), thereby removing …

Abstract Machine learning has the potential to overcome challenges in radiology where
traditional diagnostic methods reach their limits. This work addresses two such challenging …

Purpose: To simplify the application of optical coherence tomography (OCT) for examination
of subsurface morphology in the oral cavity and reduce barriers towards adoption of OCT as …

In clinical practice, medical imaging is a valuable aid for diagnosis, treatment planning,
surgery assessment, and post-surgical monitoring. For the management of pediatric …

Despite achieving state-of-the-art performance in lab-conditions, deep learning-based
systems often exhibit significant performance degradation when deployed in practical …

In medical imaging, segmentation using deep learning enables an automatic generation of
anatomical models that are crucial for morphological evaluation. However, the scarcity of …

Since the late 17th century, unprecedented magnification has provided insights into the
previously unknown world of microorganisms. This development led to the development of …