The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview. - Sarthak Pati; Ashish Singh; Saima Rathore; Aimilia Gastounioti; Mark Bergman; Phuc Ngo; Sung Min Ha; Dimitrios Bounias; James Minock; Grayson Murphy; Hongming Li; Amit Bhattarai; et al. (BrainLes@MICCAI (2), 2019)

Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications. - Stefan Denner; Jonas Scherer; Klaus Kades; Dimitrios Bounias; Philipp Schader; Lisa Kausch; Markus Bujotzek; Andreas Michael Bucher; Tobias Penzkofer; Klaus H. Maier-Hein (DEMI@MICCAI, 2023)

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: 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)

Evaluating Pretraining Strategies for OCT-Based Macular Degeneration Classification. - Jessica Kächele; Robin Peretzke; Alexandra Ertl; Maximilian Fischer; Marlin Hanstein; Florian M. Hauptmann; Dimitrios Bounias; Marco Nolden; Peter Neher; Klaus H. Maier-Hein (DIAMOND/MARIO@MICCAI, 2024)

Leveraging Foundation Models for Content-Based Medical Image Retrieval in Radiology. - Stefan Denner; David Zimmerer; Dimitrios Bounias; Markus Bujotzek; Shuhan Xiao; Lisa Kausch; Philipp Schader; Tobias Penzkofer; Paul F. Jäger; Klaus H. Maier-Hein (CoRR, 2024)

Visual Prompt Engineering for Medical Vision Language Models in Radiology. - Stefan Denner; Markus Bujotzek; Dimitrios Bounias; David Zimmerer; Raphael Stock; Paul F. Jäger; Klaus H. Maier-Hein (CoRR, 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)

Leveraging foundation models for content-based image retrieval in radiology. - Stefan Denner; David Zimmerer; Dimitrios Bounias; Markus Bujotzek; Shuhan Xiao; Raphael Stock; Lisa Kausch; Philipp Schader; Tobias Penzkofer; Paul F. Jäger; Klaus H. Maier-Hein (Comput. Biol. Medicine, 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)