With the recent advancements in rapid imaging methods, higher numbers of contrasts and
quantitative parameters can be acquired in less and less time. Some acquisition models …

Multiple myeloma (MM) is one of the most common hematological malignancies affecting the
bone marrow. Radiomics analysis has been employed in the literature in an attempt to …

Objectives Diffusion-weighted magnetic resonance imaging (MRI) is increasingly important
in patients with multiple myeloma (MM). The objective of this study was to train and test an …

Objectives The aims of this study were to determine whether ComBat harmonization
improves multiclass radiomics-based tissue classification in technically heterogeneous MRI …

Objectives In multiple myeloma and its precursor stages, plasma cell infiltration (PCI) and
cytogenetic aberrations are important for staging, risk stratification, and response …

Objectives To explore an optimal machine learning (ML) model trained on MRI-based
radiomic features to differentiate benign from malignant indistinguishable vertebral …

Featured Application The proposed solution provides a quick approach for the annotation of
the necessary training data to create an application-specific machine learning model that …

Currently, bone age is assessed by X-rays. It enables the evaluation of the child's
development and is an important diagnostic factor. However, it is not sufficient to diagnose a …

Background Radiomics models trained on data from one center typically show a decline of
performance when applied to data from external centers, hindering their introduction into …

Objects: To evaluate the prognostic value of radiomics features extracted from 18F-FDG-
PET/CT images and integrated with clinical characteristics and conventional PET/CT metrics …