Breast cancers are complex ecosystems of malignant cells and the tumour microenvironment
1 . The composition of these tumour ecosystems and interactions within them contribute to …

Rapid detection of compact binary coalescence (CBC) with a network of advanced
gravitational-wave detectors will offer a unique opportunity for multi-messenger astronomy. Prompt …

Deep learning methods have been shown to achieve excellent performance on diagnostic
tasks, but how to optimally combine them with expert knowledge and existing clinical decision …

Purpose Radiomics is a growing field of image quantitation, but it lacks stable and high‐quality
software systems. We extended the capabilities of the Computational Environment for …

Uncertainty quantification in automated image analysis is highly desired in many applications.
Typically, machine learning models in classification or segmentation are only developed …

Background and purpose Hypoxia is a known prognostic factor in head and neck cancer.
Hypoxia imaging PET radiotracers such as 18 F-FMISO are promising but not widely available. …

Background: Cancer typically exhibits genotypic and phenotypic heterogeneity, which can
have prognostic significance and influence therapy response. Computed Tomography (CT)-…

BackgroundPathological response to neoadjuvant treatment for patients with high-grade
serous ovarian carcinoma (HGSOC) is assessed using the chemotherapy response score (CRS…

Background Ovarian cancer survival rates have not changed in the last 20 years. The
majority of cases are High-grade serous ovarian carcinomas (HGSOCs), which are typically …

Simple Summary We evaluated renal cancer with varying aggressive appearances on
histology, using an emerging form of non-invasive metabolic MRI. This imaging technique …