MITK-ModelFit: A generic open-source framework for model fits and their exploration in medical imaging - design, implementation and application on the example of DCE-MRI. - Charlotte Debus; Ralf Floca; Michael Ingrisch; Ina Kompan; Klaus H. Maier-Hein; Amir Abdollahi; Marco Nolden (BMC Bioinform., 2019)

Abstract: MITK-ModelFit. - Ina Kompan; Charlotte Debus; Michael Ingrisch; Klaus H. Maier-Hein; Amir Abdollahi; Marco Nolden; Ralf Floca (Bildverarbeitung für die Medizin, 2020)

Abstract: Joint Imaging Platform for Federated Clinical Data Analytics. - Jonas Scherer; Marco Nolden; Jens Kleesiek; Jasmin Metzger; Klaus Kades; Verena Schneider; Hanno Gao; Peter Neher; Ralf Floca; Heinz-Peter Schlemmer; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2021)

Dynamic particle swarm optimization of biomolecular simulation parameters with flexible objective functions. - Marie Weiel; Markus Götz; André Klein; Daniel Coquelin; Ralf Floca; Alexander Schug (Nat. Mach. Intell., 2021)

MONAI: An open-source framework for deep learning in healthcare. - M. Jorge Cardoso; Wenqi Li 001; Richard Brown 004; Nic Ma; Eric Kerfoot; Yiheng Wang; Benjamin Murray; Andriy Myronenko; Can Zhao 001; Dong Yang 005; Vishwesh Nath; Yufan He; et al. (CoRR, 2022)

Current State of Community-Driven Radiological AI Deployment in Medical Imaging. - Vikash Gupta; Barbaros Selnur Erdal; Carolina Ramirez; Ralf Floca; Laurence Jackson; Brad W. Genereaux; Sidney Bryson; Christopher P. Bridge; Jens Kleesiek; Felix Nensa; Rickmer Braren; Khaled Younis; et al. (CoRR, 2022)

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: Object Detection for Breast Diffusion-weighted Imaging. - Dimitrios Bounias; Michael Baumgartner 001; Peter Neher; Balint Kovacs; Ralf Floca; Paul F. Jaeger; Lorenz A. Kapsner; Jessica Eberle; Dominique Hadler; Frederik B. Laun; Sabine Ohlmeyer; Klaus H. Maier-Hein; et al. (Bildverarbeitung für die Medizin, 2024)

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)

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)

Abstract: Client Security Alone Fails in Federated Learning - 2D and 3D Attack Insights. - Santhosh Parampottupadam; Ralf Floca; Dimitrios Bounias; Benjamin Hamm; Saikat Roy; Sinem Sav; Maximilian Zenk; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2025)

nnInteractive: Redefining 3D Promptable Segmentation. - Fabian Isensee; Maximilian Rokuss; Lars Krämer; Stefan Dinkelacker; Ashis Ravindran; Florian Stritzke; Benjamin Hamm; Tassilo Wald; Moritz Langenberg; Constantin Ulrich; Jonathan Deissler; Ralf Floca; et al. (CoRR, 2025)

Inclusive, Differentially Private Federated Learning for Clinical Data. - Santhosh Parampottupadam; Melih Cosgun; Sarthak Pati; Maximilian Zenk; Saikat Roy; Dimitrios Bounias; Benjamin Hamm; Sinem Sav; Ralf Floca; Klaus H. Maier-Hein (CoRR, 2025)