The Segment Anything foundation model achieves favorable brain tumor autosegmentation accuracy on MRI to support radiotherapy treatment planning. - Florian Putz; Johanna Grigo; Thomas Weissmann; Philipp Schubert; Daniel Hoefler; Ahmed Gomaa; Hassen Ben Tkhayat; Amr Hagag; Sebastian Lettmaier; Benjamin Frey; Udo S. Gaipl; Luitpold V. Distel; et al. (CoRR, 2023)

Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding. - Amr Hagag; Ahmed Gomaa; Dominik Kornek; Andreas Maier 001; Rainer Fietkau; Christoph Bert; Yixing Huang; Florian Putz (MICCAI (5), 2024)

Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma. - Ahmed Gomaa; Yixing Huang; Amr Hagag; Charlotte Schmitter; Daniel Höfler; Thomas Weissmann; Katharina Breininger; Manuel A. Schmidt; Jenny Stritzelberger; Daniel Delev; Roland Coras; Arnd Dörfler; et al. (CoRR, 2024)