Litcius/Paper detail

Quantification of intratumoural heterogeneity in mice and patients via machine-learning models trained on PET–MRI data

Prateek Katiyar, Johannes Schwenck, Leonie Frauenfeld, Mathew R. Divine, Vaibhav Agrawal, Ursula Kohlhofer, Sergios Gatidis, Roland E. Kontermann, Alfred Königsrainer, Leticia Quintanilla‐Martínez, Christian la Fougère, Bernhard Schölkopf, Bernd J. Pichler, Jonathan A. Disselhorst

2023Nature Biomedical Engineering14 citationsDOI

Topics & Concepts

Tumour heterogeneityMagnetic resonance imagingPositron emission tomographyColorectal cancerMedicinePhenotypePathologyRadiologyCancerNuclear medicineInternal medicineBiologyBiochemistryGeneRadiomics and Machine Learning in Medical ImagingMedical Imaging Techniques and ApplicationsCancer Genomics and Diagnostics