Max Rohleder Wins “Bench-to-Bedside Award” at IPCAI 2025

Berlin, June 2025 – We are proud to announce that Max Rohleder, a PhD researcher at the Pattern Recognition Lab, has been honored with the prestigious “Bench-to-Bedside Award” at this year’s International Conference on Information Processing in Computer-Assisted Interventions (IPCAI 2025) for his work on Parametric-MAA, a novel method designed to tackle metal artifacts in intraoperative cone-beam CT in cooperation with Siemens Healthineers.

His award-winning paper, titled
“Parametric-MAA: fast, object-centric avoidance of metal artifacts for intraoperative CBCT”,
was selected by the IPCAI Award Panel as the contribution with the highest projected clinical impact. The work was also voted by the audience for an extended talk, reflecting both its technical innovation and clinical relevance.

A Leap Toward Real-Time Artifact Reduction

The Parametric-MAA approach introduces an interactive, real-time solution for reducing metal artifacts in CBCT imaging by representing metallic objects as parametric ellipsoids. Notably:

• The method runs fully on CPU, making it readily deployable in clinical environments.
• It achieves more than 30x speedup compared to conventional ray-tracing-based approaches.
• It demonstrates robust generalization to real intraoperative data—bridging the gap between algorithmic development and clinical application.

Celebrating the End of a PhD Journey

This recognition also marks the culmination of Max Rohleder’s PhD research. In his own words:

“I’m very grateful to my co-authors, my supervisor Prof. Andreas Maier, and the IPCAI community for their continuous support. It’s a wonderful way to conclude my PhD journey—with a project that bridges academic rigor and real-world clinical utility.”

We congratulate Max on this outstanding achievement and thank the IPCAI community for acknowledging the real-world value of research emerging from PRL.

Link to the paper: https://link.springer.com/article/10.1007/s11548-025-03348-7