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Showing results (161-170 of 195) with videos related to

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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.
European Journal of Cancer (Oxford, England : 1990)|June 8, 2019
Interference of tumour mutational burden with outcome of patients with head and neck cancer treated with definitive chemoradiation: a multicentre retrospective study of the German Cancer Consortium Radiation Oncology GroupT Eder, A K Hess, R Konschak, et al.
ESMO Open|May 1, 2025
A phase II study of monalizumab and durvalumab in patients with recurrent/metastatic squamous cell carcinoma of the head and neck: results of the I2 cohort of the EORTC-HNCG-1559 trial (UPSTREAM)R Galot, C Le Tourneau, L Licitra, 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.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|December 7, 2014
HPV16 DNA status is a strong prognosticator of loco-regional control after postoperative radiochemotherapy of locally advanced oropharyngeal carcinoma: results from a multicentre explorative study of the German Cancer Consortium Radiation Oncology Group (DKTK-ROG)Fabian Lohaus, Annett Linge, Inge Tinhofer, et al.
Frontiers in Oncology|November 8, 2019
Organ Preservation and Late Functional Outcome in Oropharyngeal Carcinoma: Rationale of EORTC 1420, the "Best of" TrialJean-Jacques Stelmes, Vincent Gregoire, Vincent Vander Poorten, et al.
Scientific Reports|October 6, 2022
Integrated radiogenomics analyses allow for subtype classification and improved outcome prognosis of patients with locally advanced HNSCCAsier Rabasco Meneghetti, Alex Zwanenburg, Annett Linge, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|February 19, 2022
Biomarker signatures for primary radiochemotherapy of locally advanced HNSCC - Hypothesis generation on a multicentre cohort of the DKTK-ROGSteffen Löck, Annett Linge, Fabian Lohaus, et al.
Pageof 20

Showing results (161-170 of 195) with videos related to

Sort By:
Pageof 20
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.
European Journal of Cancer (Oxford, England : 1990)|June 8, 2019
Interference of tumour mutational burden with outcome of patients with head and neck cancer treated with definitive chemoradiation: a multicentre retrospective study of the German Cancer Consortium Radiation Oncology GroupT Eder, A K Hess, R Konschak, et al.
ESMO Open|May 1, 2025
A phase II study of monalizumab and durvalumab in patients with recurrent/metastatic squamous cell carcinoma of the head and neck: results of the I2 cohort of the EORTC-HNCG-1559 trial (UPSTREAM)R Galot, C Le Tourneau, L Licitra, 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.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|December 7, 2014
HPV16 DNA status is a strong prognosticator of loco-regional control after postoperative radiochemotherapy of locally advanced oropharyngeal carcinoma: results from a multicentre explorative study of the German Cancer Consortium Radiation Oncology Group (DKTK-ROG)Fabian Lohaus, Annett Linge, Inge Tinhofer, et al.
Frontiers in Oncology|November 8, 2019
Organ Preservation and Late Functional Outcome in Oropharyngeal Carcinoma: Rationale of EORTC 1420, the "Best of" TrialJean-Jacques Stelmes, Vincent Gregoire, Vincent Vander Poorten, et al.
Scientific Reports|October 6, 2022
Integrated radiogenomics analyses allow for subtype classification and improved outcome prognosis of patients with locally advanced HNSCCAsier Rabasco Meneghetti, Alex Zwanenburg, Annett Linge, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|February 19, 2022
Biomarker signatures for primary radiochemotherapy of locally advanced HNSCC - Hypothesis generation on a multicentre cohort of the DKTK-ROGSteffen Löck, Annett Linge, Fabian Lohaus, et al.
Pageof 20