Diffusion tensor imaging in children and adolescents: Reproducibility, hemispheric, and age-related differences. - David Bonekamp; Lidia M. Nagae; Mahaveer Degaonkar; Melissa Matson; Wael M. A. Abdalla; Peter B. Barker; Susumu Mori; Alena Horská (NeuroImage, 2007)

Changes to Stage 1 Meaningful Use in 2014: Impact on Radiologists. - Adeel Siddiqui; Paul G. Nagy; David Bonekamp; Keith J. Dreyer (J. Digit. Imaging, 2014)

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)

Revealing Hidden Potentials of the q-Space Signal in Breast Cancer. - Paul F. Jaeger; Sebastian Bickelhaupt; Frederik Bernd Laun; Wolfgang Lederer; Daniel Heidi; Tristan Anselm Kuder; Daniel Paech; David Bonekamp; Alexander Radbruch; Stefan Delorme; Heinz-Peter Schlemmer; Franziska Steudle; et al. (MICCAI (1), 2017)

Revealing Hidden Potentials of q-Space Imaging in Breast Cancer. - Paul Jaeger 002; Sebastian Bickelhaupt; Frederik Bernd Laun; Wolfgang Lederer; Daniel Heidi; Tristan Anselm Kuder; Daniel Paech; David Bonekamp; Alexander Radbruch; Stefan Delorme; Heinz-Peter Schlemmer; Franziska Steudle; et al. (CoRR, 2017)

Adversarial Networks for the Detection of Aggressive Prostate Cancer. - Simon Kohl; David Bonekamp; Heinz-Peter Schlemmer; Kaneschka Yaqubi; Markus Hohenfellner; Boris Hadaschik; Jan-Philipp Radtke; Klaus H. Maier-Hein (CoRR, 2017)

Adversarial Networks for Prostate Cancer Detection. - Simon Kohl; David Bonekamp; Heinz-Peter Schlemmer; Kaneschka Yaqubi; Markus Hohenfellner; Boris Hadaschik; Jan-Philipp Radtke; Klaus H. Maier-Hein (CoRR, 2017)

Abstract: Revealing Hidden Potentials of the q-Space Signal in Breast Cancer. - Paul Jaeger 002; Sebastian Bickelhaupt; Frederik Bernd Laun; Wolfgang Lederer; Daniel Heidi; Tristan Anselm Kuder; Daniel Paech; David Bonekamp; Alexander Radbruch; Stefan Delorme; Heinz-Peter Schlemmer; Franziska Steudle; et al. (Bildverarbeitung für die Medizin, 2018)

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)

Anatomy-Informed Data Augmentation for Enhanced Prostate Cancer Detection. - Balint Kovacs; Nils Netzer; Michael Baumgartner 001; Carolin Eith; Dimitrios Bounias; Clara Meinzer; Paul F. Jäger; Kevin S. Zhang; Ralf Floca; Adrian Schrader; Fabian Isensee; Regula Gnirs; et al. (MICCAI (7), 2023)

Abstract: Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection. - Balint Kovacs; Nils Netzer; Michael Baumgartner 001; Carolin Eith; Dimitrios Bounias; Clara Meinzer; Paul F. Jäger; Kevin S. Zhang; Ralf Floca; Adrian Schrader; Fabian Isensee; Regula Gnirs; et al. (Bildverarbeitung für die Medizin, 2024)