Rüdiger von Eisenhart-Rothe

15 papers A* 1Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fine-tuning Large Language Models with Limited Data: A Survey and Practical Guide.
Trans. Assoc. Comput. Linguistics
Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe, Florian Hinterwimmer
2026 A* conf
Hybrid Foveated Path Tracing with Peripheral Gaussians for Immersive Anatomy.
VR
Constantin Kleinbeck, Luisa Theelke, Hannah Schieber, Ulrich Eck, Rüdiger von Eisenhart-Rothe, Daniel Roth
2026 J jnl
Hybrid Foveated Path Tracing with Peripheral Gaussians for Immersive Anatomy.
CoRR
Constantin Kleinbeck, Luisa Theelke, Hannah Schieber, Ulrich Eck, Rüdiger von Eisenhart-Rothe, Daniel Roth
2026 J jnl
Performance comparison and future perspectives of deep learning and classical machine learning in bone tumor applications: a systematic review (2019-2025).
BMC Medical Informatics Decis. Mak.
Yu Qiao, Carolin Eisfeld, Rüdiger von Eisenhart-Rothe, Florian Hinterwimmer
2026 — conf
Unintended Memorization of Sensitive Information in Fine-Tuned Language Models.
EACL (Volume 1: Long Papers)
Marton Szep, Jorge Marin Ruiz, Georgios Kaissis, Paulina Seidl, Rüdiger von Eisenhart-Rothe, Florian Hinterwimmer, Daniel Rueckert
2026 J jnl
Unintended Memorization of Sensitive Information in Fine-Tuned Language Models.
CoRR
Marton Szep, Jorge Marin Ruiz, Georgios Kaissis, Paulina Seidl, Rüdiger von Eisenhart-Rothe, Florian Hinterwimmer, Daniel Rueckert
2025 J jnl
A Comprehensive Computational Workflow for Patient-Specific 3D Reconstruction and Quantitative Analysis of Acetabular Revision Defects.
IEEE Access
Carina M. Micheler, Jan Josef Lang, Igor Lazic, Benjamin Schloßmacher, Maximilian C. M. Fischer, Christian Fritz, Florian Hinterwimmer, Holger Wolf, Rüdiger von Eisenhart-Rothe, Rainer Burgkart
2024 J jnl
A Practical Guide to Fine-tuning Language Models with Limited Data.
CoRR
Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe, Florian Hinterwimmer
2024 J jnl
Multicentric development and validation of a multi-scale and multi-task deep learning model for comprehensive lower extremity alignment analysis.
Artif. Intell. Medicine
Nikolas J. Wilhelm, Claudio E. von Schacky, Felix J. Lindner, Matthias J. Feucht, Yannick Ehmann, Jonas Pogorzelski, Sami Haddadin, Jan Neumann, Florian Hinterwimmer, Rüdiger von Eisenhart-Rothe, Matthias Jung, Maximilian F. Russe, Kaywan Izadpanah, Sebastian Siebenlist, Rainer Burgkart, Marco-Christopher Rupp
2024 J jnl
Requirement analysis for an AI-based AR assistance system for surgical tools in the operating room: stakeholder requirements and technical perspectives.
Int. J. Comput. Assist. Radiol. Surg.
Elena Cramer, A. B. Kucharski, Julian Kreimeier, S. Andreß, S. Li, C. Walk, Felix Merkl, J. Högl, Patrick Wucherer, Philipp Stefan, Rüdiger von Eisenhart-Rothe, P. Enste, Daniel Roth
2012 — conf
Real-time 3D visualization in an open architecture of a robotic application in the biomechanics.
ROBIO
Horacio Martinez, Constantin von Deimling, Heinz Ulbrich, Rüdiger von Eisenhart-Rothe, Rainer Burgkart
2004 — conf
Combined registration of 3D tibia and femur implant models in 3D magnetic resonance images.
CARS
Alexander Jovanovic, Markus Siebert, Rüdiger von Eisenhart-Rothe, Heiko Graichen, Karl-Hans Englmeier
2004 — conf
Postoperative Prothesenregistrierung in MRT Bildern.
Bildverarbeitung für die Medizin
Alexander Jovanovic, Markus Siebert, Rüdiger von Eisenhart-Rothe, Heiko Graichen, Karl-Hans Englmeier
2003 — conf
Determination of 3D kinematics of knee joints: a new in vivo technique.
CARS
Markus Siebert, Rüdiger von Eisenhart-Rothe, T. Vogel, Karl-Hans Englmeier, Heiko Graichen
2002 — conf
Eine neue In-vivo-Methode zur dreidimensionalen Analyse femoraler Bewegungen im Kniegelenk.
Bildverarbeitung für die Medizin
Markus Siebert, Karl-Hans Englmeier, Rüdiger von Eisenhart-Rothe, C. Bringmann, Felix Eckstein, H. Bonél, Maximilian Reiser, Heiko Graichen