Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …

Abstract Machine learning models have been increasingly considered to model head and
neck cancer outcomes for improved screening, diagnosis, treatment, and prognostication of …

Objective To investigate the impact of harmonization on the performance of CT, PET, and
fused PET/CT radiomic features toward the prediction of mutations status, for epidermal …

Objectives We evaluate the feasibility of treatment response prediction using MRI‐based pre‐
, post‐, and delta‐radiomic features for locally advanced rectal cancer (LARC) patients …

Simple Summary Head and neck tumors (HNTs) are associated with a high mortality due to
their commonly insidious and asymptomatic development. Regarding risk stratification and …

Several studies have emphasised how positive and negative human papillomavirus (HPV+
and HPV−, respectively) oropharyngeal squamous cell carcinoma (OPSCC) has distinct …

Objectives Human papillomavirus-(HPV) positive oropharyngeal squamous cell carcinoma
(OPSCC) differs biologically and clinically from HPV-negative OPSCC and has a better …

Radiomics is an advanced image-processing framework, which extracts image features and
considers them as biomarkers towards personalized medicine. Applications include disease …

Human papillomavirus (HPV) infection identified as a definitive human carcinogen is
increasingly being recognized for its role in carcinogenesis of human cancers. Up to 38 …

While there has been an overall decline of tobacco and alcohol-related head and neck
cancer in recent decades, there has been an increased incidence of HPV-associated …