Design and Selection of Machine Learning Methods Using Radiomics and Dosiomics for Normal Tissue Complication Probability Modeling of Xerostomia

Por Hubert S. Gabryś, Hubert S. Gabryś, Hubert S. Gabryś, Florian Buettner, Florian Sterzing, Florian Sterzing, Florian Sterzing, Henrik Hauswald, Henrik Hauswald, Henrik Hauswald, Mark Bangert, Mark Bangert
Publicado em 2018-03-01

Incorporation of Dosimetric Gradients and Parotid Gland Migration Into Xerostomia Prediction

Por Rosario Astaburuaga, Rosario Astaburuaga, Rosario Astaburuaga, Rosario Astaburuaga, Hubert S. Gabryś, Hubert S. Gabryś, Hubert S. Gabryś, Beatriz Sánchez-Nieto, Ralf O. Floca, Ralf O. Floca, Ralf O. Floca, Sebastian Klüter, Sebastian Klüter, Kai Schubert, Kai Schubert, Henrik Hauswald, Henrik Hauswald, Henrik Hauswald, Mark Bangert, Mark Bangert
Publicado em 2019-07-01

Improved Survival Prediction by Combining Radiological Imaging and S-100B Levels Into a Multivariate Model in Metastatic Melanoma Patients Treated With Immune Checkpoint Inhibition

Por Simon Burgermeister, Hubert S. Gabryś, Lucas Basler, Sabrina A. Hogan, Matea Pavic, Marta Bogowicz, Julia M. Martínez Gómez, Diem Vuong, Stephanie Tanadini-Lang, Robert Foerster, Martin W. Huellner, Reinhard Dummer, Mitchell P. Levesque, Matthias Guckenberger
Publicado em 2022-04-01