Relaxation-compensated CEST-MRI of the human brain at 7 T: Unbiased insight into NOE and amide signal changes in human glioblastoma. - Moritz Zaiss; Johannes Windschuh; Daniel Paech; Jan-Eric Meissner; Sina Burth; Benjamin Schmitt; Philip Kickingereder; Benedikt Wiestler; Wolfgang Wick; Martin Bendszus; Heinz-Peter Schlemmer; Mark E. Ladd; et al. (NeuroImage, 2015)

Brain Tumor Segmentation Using Large Receptive Field Deep Convolutional Neural Networks. - Fabian Isensee; Philipp Kickingereder; David Bonekamp; Martin Bendszus; Wolfgang Wick; Heinz-Peter Schlemmer; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2017)

Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge. - Fabian Isensee; Philipp Kickingereder; Wolfgang Wick; Martin Bendszus; Klaus H. Maier-Hein (BrainLes@MICCAI, 2017)

No New-Net. - Fabian Isensee; Philipp Kickingereder; Wolfgang Wick; Martin Bendszus; Klaus H. Maier-Hein (BrainLes@MICCAI (2), 2018)

DNA methylation-based classification of central nervous system tumours. - David Capper; David T. W. Jones; Martin Sill; Volker Hovestadt; Daniel Schrimpf; Dominik Sturm; Christian Koelsche; Felix Sahm; Lukas Chavez; David E. Reuss; Annekathrin Kratz; Annika K. Wefers; et al. (Nat., 2018)

Deep Probabilistic Modeling of Glioma Growth. - Jens Petersen; Paul F. Jäger; Fabian Isensee; Simon A. A. Kohl; Ulf Neuberger; Wolfgang Wick; Jürgen Debus; Sabine Heiland; Martin Bendszus; Philipp Kickingereder; Klaus H. Maier-Hein (MICCAI (2), 2019)

Automated brain extraction of multi-sequence MRI using artificial neural networks. - Fabian Isensee; Marianne Schell; Irada Tursunova; Gianluca Brugnara; David Bonekamp; Ulf Neuberger; Antje Wick; Heinz-Peter Schlemmer; Sabine Heiland; Wolfgang Wick; Martin Bendszus; Klaus Hermann Maier-Hein; et al. (CoRR, 2019)

Abstract: Deep Probabilistic Modeling of Glioma Growth. - Jens Petersen; Paul F. Jäger; Fabian Isensee; Simon A. A. Kohl; Ulf Neuberger; Wolfgang Wick; Jürgen Debus; Sabine Heiland; Martin Bendszus; Philipp Kickingereder; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2020)

Continuous-Time Deep Glioma Growth Models. - Jens Petersen; Fabian Isensee; Gregor Köhler; Paul F. Jäger; David Zimmerer; Ulf Neuberger; Wolfgang Wick; Jürgen Debus; Sabine Heiland; Martin Bendszus; Philipp Vollmuth; Klaus H. Maier-Hein (MICCAI (3), 2021)

Federated Learning Enables Big Data for Rare Cancer Boundary Detection. - Sarthak Pati; Ujjwal Baid; Brandon Edwards; Micah J. Sheller; Hans Shih-Han Wang; G. Anthony Reina; Patrick Foley; Alexey Gruzdev; Deepthi Karkada; Christos Davatzikos; Chiharu Sako; Satyam Ghodasara; et al. (CoRR, 2022)

Abstract: Automated Detection and Quantification of Brain Metastases on Clinical MRI Data using CNNs. - Irada Pflüger; Tassilo Wald; Fabian Isensee; Marianne Schell; Hagen Meredig; Kai Schlamp; Denise Bernhardt; Gianluca Brugnara; Claus Peter Heußel; Juergen Debus; Wolfgang Wick; Martin Bendszus; et al. (Bildverarbeitung für die Medizin, 2023)

Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke. - Gianluca Brugnara; Michael Baumgartner 001; Edwin D. Scholze; Katerina Deike-Hofmann; Klaus Kades; Jonas Scherer; Stefan Denner; Hagen Meredig; Aditya Rastogi; Mustafa A. Mahmutoglu; Christian Ulfert; Ulf Neuberger; et al. (Bildverarbeitung für die Medizin, 2024)