Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma

Gomaa A, Huang Y, Hagag A, Schmitter C, Höfler D, Weissmann T, Breininger K, Schmidt M, Stritzelberger J, Delev D, Coras R, Dörfler A, Schnell O, Frey B, Gaipl U, Semrau S, Bert C, Hau P, Fietkau R, Putz F (2024)

Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2024

Journal

Neuro-Oncology Advances Oxford University Press

DOI: 10.1093/noajnl/vdae122

Open Access Link: https://doi.org/10.1093/noajnl/vdae122

Authors with CRIS profile

Ahmed Gomaa Department of Radiation Oncology Yixing Huang Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Charlotte Schmitter Department of Radiation Oncology Daniel Höfler Department of Radiation Oncology Thomas Weissmann Department of Radiation Oncology Katharina Breininger Juniorprofessur für Artificial Intelligence in Medical Imaging Manuel Schmidt Neuroradiologisches Institut Jenny Stritzelberger Department of Neurology Roland Coras Institute of Neuropathology Arnd Dörfler
Oliver Schnell Lehrstuhl für Neurochirurgie Benjamin Frey Department of Radiation Oncology Udo Gaipl Department of Radiation Oncology Sabine Semrau Lehrstuhl für Strahlentherapie Christoph Bert Professur für Med. Strahlenphysik Rainer Fietkau Lehrstuhl für Strahlentherapie Florian Putz Department of Radiation Oncology

Involved external institutions

Universitätsklinikum Regensburg DE Germany (DE) Siemens Healthineers DE Germany (DE)

How to cite

APA:

Gomaa, A., Huang, Y., Hagag, A., Schmitter, C., Höfler, D., Weissmann, T.,... Putz, F. (2024). Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma. Neuro-Oncology Advances. https://doi.org/10.1093/noajnl/vdae122

MLA:

Gomaa, Ahmed, et al. "Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma." Neuro-Oncology Advances (2024).

BibTeX: Download