Radiomics analysis is a powerful tool aiming to provide diagnostic and prognostic patient
information directly from images that are decoded into handcrafted features, comprising …

T2-weighted hyperintensities in neuroimaging represent areas of heightened signal intensity
on magnetic resonance imaging (MRI) scans, holding crucial importance in neuroimaging …

Deformable image registration (DIR) between daily and reference images is fundamentally
important for adaptive radiotherapy. In the last decade, deep learning-based image …

Background MR scans used in radiotherapy can be partially truncated due to the limited field
of view (FOV), affecting dose calculation accuracy in MR‐based radiation treatment …

Objective Given the limited repeatability and reproducibility of radiomic features derived from
weighted magnetic resonance imaging (MRI), there may be significant advantages to using …

To further optimize radiotherapy, a more personalized treatment towards individual patient's
risk profiles, dissecting both patient-specific tumor and normal tissue response to …

Objectives To determine whether radiomics models developed from 2-deoxy-2-[18F] fluoro-
D-glucose ([18F] FDG) PET/CT combined with multisequence MRI could contribute to …

The tumours of head and neck district are around 3% of all malignancies and squamous cell
carcinoma is the most frequent histotype, with rapid increase during the last two decades …

Objective Identifying MRI texture parameters able to distinguish inflammation, fibrosis, and
residual cancer in patients with naso-oropharynx carcinoma after radiochemotherapy (RT …

Accurate analysis of Fluorodeoxyglucose (FDG)-Positron Emission Tomography (PET)
images is crucial for the diagnosis, treatment assessment, and monitoring of patients …