The purpose of this paper is to evaluate the ability of a prototype Compton camera (CC) to
measure prompt gamma rays (PG) emitted during delivery of clinical proton pencil beams for …

Radiomics has shown promise in improving models for predicting patient outcomes. However,
to maximize the information gain of the radiomics features, especially in larger patient …

Purpose To evaluate the uncertainty of radiomics features from contrast-enhanced breath-hold
helical CT scans of non-small cell lung cancer for both manual and semi-automatic …

The purpose of this work was to characterize how prompt gamma (PG) emission from tissue
changes as a function of carbon and oxygen concentration, and to assess the feasibility of …

Purpose Recent data suggest that imaging radiomic features of a tumor could be indicative
of important genomic biomarkers. Understanding the relationship between radiomic and …

Radiomics studies have demonstrated the potential use of quantitative image features to
improve prognostic stratification of patients with head and neck cancer. Imaging protocol …

We studied the application of a deep, fully connected Neural Network (NN) to process prompt
gamma (PG) data measured by a Compton camera (CC) during the delivery of clinical …

Radiomics leverages existing image datasets to provide non-visible data extraction via image
post-processing, with the aim of identifying prognostic, and predictive imaging features at …

Background and purpose Oligometastatic non-small cell lung cancer (NSCLC) is a heterogeneous
condition with few known risk stratification factors. A quantitative imaging feature (QIF…

Imaging Biomarker Explorer (IBEX) is an open-source tool for medical imaging radiomics
work. The purpose of this paper is to describe how to use IBEX's graphical user interface (GUI) …