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Cancer Imaging : the Official Publication of the International Cancer Imaging Society|February 22, 2025
Total lesion glycolysis of primary tumor and lymphnodes is a strong predictor for development of distant metastases in oropharyngeal carcinoma patients with independent validation in automatically delineated lesionsSebastian Zschaeck, Marina Hajiyianni, Patrick Hausmann, et al.
The Lancet. Gastroenterology & Hepatology|May 10, 2025
Organ preservation after total neoadjuvant therapy for locally advanced rectal cancer (CAO/ARO/AIO-16): an open-label, multicentre, single-arm, phase 2 trialCihan Gani, Emmanouil Fokas, Bülent Polat, et al.
Clinical and Translational Radiation Oncology|October 27, 2022
Impact of endorectal filling on interobserver variability of MRI based rectal primary tumor delineationMonica Lo Russo, Marcel Nachbar, Aisling Barry, et al.
Neuro-Oncology Advances|July 3, 2024
Imaging meningioma biology: Machine learning predicts integrated risk score in WHO grade 2/3 meningiomaOlivia Kertels, Claire Delbridge, Felix Sahm, et al.
International Journal of Cancer|July 17, 2015
CD8+ tumour-infiltrating lymphocytes in relation to HPV status and clinical outcome in patients with head and neck cancer after postoperative chemoradiotherapy: A multicentre study of the German cancer consortium radiation oncology group (DKTK-ROG)Panagiotis Balermpas, Franz Rödel, Claus Rödel, et al.
Cancers|October 14, 2023
Multitask Learning with Convolutional Neural Networks and Vision Transformers Can Improve Outcome Prediction for Head and Neck Cancer PatientsSebastian Starke, Alex Zwanenburg, Karoline Leger, et al.
International Journal of Radiation Oncology, Biology, Physics|December 19, 2020
Initial Feasibility and Clinical Implementation of Daily MR-Guided Adaptive Head and Neck Cancer Radiation Therapy on a 1.5T MR-Linac System: Prospective R-IDEAL 2a/2b Systematic Clinical Evaluation of Technical InnovationBrigid A McDonald, Sastry Vedam, Jinzhong Yang, et al.
Cancers|October 22, 2020
Comprehensive Analysis of Tumour Sub-Volumes for Radiomic Risk Modelling in Locally Advanced HNSCCStefan Leger, Alex Zwanenburg, Karoline Leger, et al.
Scientific Reports|October 18, 2017
A comparative study of machine learning methods for time-to-event survival data for radiomics risk modellingStefan Leger, Alex Zwanenburg, Karoline Pilz, et al.
International Journal of Cancer|May 9, 2017
The PD-1/PD-L1 axis and human papilloma virus in patients with head and neck cancer after adjuvant chemoradiotherapy: A multicentre study of the German Cancer Consortium Radiation Oncology Group (DKTK-ROG)Panagiotis Balermpas, Franz Rödel, Mechthild Krause, et al.
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