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Number of items: 4.
Journal article
Meneghetti, Asier Rabasco; Zwanenburg, Alex; Leger, Stefan; Leger, Karoline; Troost, Esther G. C.; Linge, Annett; Lohaus, Fabian; Schreiber, Andreas; Kalinauskaite, Goda; Tinhofer, Inge; Guberina, Nika; Guberina, Maja; Balermpas, Panagiotis; Gruen, Jens von der; Ganswindt, Ute; Belka, Claus; Peeken, Jan C.; Combs, Stephanie E.; Boeke, Simon; Zips, Daniel; Krause, Mechthild; Baumann, Michael and Loeck, Steffen
(2021):
Definition and validation of a radiomics signature for loco-regional tumour control in patients with locally advanced head and neck squamous cell carcinoma.
In: Clinical and Translational Radiation Oncology, Vol. 26: pp. 62-70
Starke, Sebastian; Leger, Stefan; Zwanenburg, Alex; Leger, Karoline; Lohaus, Fabian; Linge, Annett; Schreiber, Andreas; Kalinauskaite, Goda; Tinhofer, Inge; Guberina, Nika; Guberina, Maja; Balermpas, Panagiotis; Grun, Jens von der; Ganswindt, Ute; Belka, Claus; Peeken, Jan C.; Combs, Stephanie E.; Boeke, Simon; Zips, Daniel; Richter, Christian; Troost, Esther G. C.; Krause, Mechthild; Baumann, Michael and Loeck, Steffen
(2020):
2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma.
In: Scientific Reports, Vol. 10, No. 1, 15625
[PDF, 2MB]
Leger, Stefan; Zwanenburg, Alex; Leger, Karoline; Lohaus, Fabian; Linge, Annett; Schreiber, Andreas; Kalinauskaite, Goda; Tinhofer, Inge; Guberina, Nika; Guberina, Maja; Balermpas, Panagiotis; Gruen, Jens von der; Ganswindt, Ute; Belka, Claus; Peeken, Jan C.; Combs, Stephanie E.; Boeke, Simon; Zips, Daniel; Richter, Christian; Krause, Mechthild; Baumann, Michael; Troost, Esther G. C. and Loeck, Steffen
(2020):
Comprehensive Analysis of Tumour Sub-Volumes for Radiomic Risk Modelling in Locally Advanced HNSCC.
In: Cancers, Vol. 12, No. 10, 3047
Leger, Stefan; Zwanenburg, Alex; Pilz, Karoline; Lohaus, Fabian; Linge, Annett; Zöphel, Klaus; Kotzerke, Jörg; Schreiber, Andreas; Tinhofer, Inge; Budach, Volker; Sak, Ali; Stuschke, Martin; Balermpas, Panagiotis; Rödel, Claus; Ganswindt, Ute; Belka, Claus; Pigorsch, Steffi; Combs, Stephanie E.; Mönnich, David; Zips, Daniel; Krause, Mechthild; Baumann, Michael; Troost, Esther G. C.; Loeck, Steffen and Richter, Christian
(2017):
A comparative study of machine learning methods for time-to-event survival data for radiomics risk modelling.
In: Scientific Reports, Vol. 7, 13206
[PDF, 2MB]