At IPCAI 2025, we celebrate excellence across the spectrum of computer-assisted intervention research through a variety of prestigious awards.
These awards are selected via a rigorous two-stage distributed review process, designed by Nassir Navab:
Best Paper Award
Recognizes outstanding and impactful research that significantly advances the field of computer-assisted interventions.
Sponsored by Siemens Healthineers.
Winner:
Benjamin Killeen, Anushri Suresh, Catalina Gomez, Blanca Inigo, Christopher Bailey, Mathias Unberath for the paper titled "Intelligent Control of Robotic X-ray Devices using a Language-promptable Digital Twin"
Runner-up:
Mohammad Farahmand, Amoon Jamzad, Fahimeh Fooladgar, Laura Connolly, Martin Kaufmann, Kevin Yi Mi Ren, John Rudan, Doug McKay, Gabor Fichtinger, Parvin Mousavi for the paper titled "FACT: Foundation Model for Assessing Cancer Tissue Margins with Mass Spectrometry"
Honorable Mention:
Rema Daher, Francisco Vasconcelos, Danail Stoyanov for the paper titled "SHADeS: Self-supervised Monocular Depth Estimation Through Non-Lambertian Image Decomposition"
Machine Learning in CAI Award
Celebrates exceptional methodological contributions to the field, with a focus on machine learning techniques in computer-assisted interventions.
Sponsored by SnkeOS.
Joint Winner:
Tingxuan Chen, Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy for the paper titled "Few-shot Text-driven Adaptation of Foundation Models for Surgical Workflow Analysis"
Joint Winner:
Yannik Frisch, Ssharvien Kumar R Sivakumar, Çağhan Köksal, Elsa Böhm, Felix Wagner, Adrian Gericke, Ghazal Ghazaei, Anirban Mukhopadhyay for the paper titled "SurGrID: Controllable Surgical Simulation via Scene Graph to Image Diffusion"
Honorable Mention:
Mengyi Zhou, Chi Xu, Stamatia Giannarou for the paper titled "Stable Distance Regression via Spatial-Frequency State Space Model for Robot-Assisted Endomicroscopy"
Bench-to-Bedside Award
Highlights research with strong clinical relevance and translational impact, particularly studies with significant clinical or pre-clinical validation.
Sponsored by IHU Strasbourg and NDI.
Winner:
Maximilian Rohleder, Andreas Maier, Björn Kreher for the paper titled "Parametric-MAA: Fast, Object-Centric Avoidance of Metal Artifacts for Intraoperative CBCT Imaging"
Honourable Mention:
Mengya Xu, Wenjin Mo, Guankun Wang, Huxin Gao, An WANG, Hongliang Ren for the paper titled "PDZSeg: Adapting the Foundation Model for Dissection Zone Segmentation with Visual Prompts in Robot-assisted Endoscopic Submucosal Dissection"
These awards are selected through live voting by IPCAI attendees during the conference:
Best Presentation Award
Sponsored by J&J MedTech.
Winner:
Laura Connolly, Tamas Ungi, Adnan Munawar, Anton Deguet, Chris Yeung, Russ Taylor, Parvin Mousavi, Gabor Fichtinger, Keyvan Hashtrudi-Zaad for the paper titled "Touching the tumor boundary: A pilot study on ultrasound based virtual fixtures for breast conserving surgery"
Best Long Abstract Award
Sponsored by ImFusion.
Winner:
Laura Connolly, Aravind Kumar, Kapi Ketan Mehta, Lidia Al-Zogbi, Peter Kazanzides, Parvin Mousavi, Gabor Fichtinger, Axel Krieger, Junichi Tokuda, Russell H. Taylor, Simon Leonard, Anton Deguet for the paper titled "SlicerROS2: A Free Open-Source Platform for Seamless Integration of Medical Image Computing and Robotic"
Outstanding Reviewer Awards
Honoring reviewers who provided consistently high-quality, constructive feedback. Nominees are shortlisted based on Area Chair ratings and final selection is made by non-conflicted Program Committee members.
Hanna Hoffmann, NCT/UCC Dresden
Jan Emily Mangulabnan, Johns Hopkins University
Jonas Hein, ETH Zürich
Rebecca Hisey, Queen’s University
Zhehua Mao, University College London
Student Participation Awards (New in 2025)
A new initiative to support and recognize the contributions of MSc and PhD student authors from underrepresented groups or geographic regions. Selection is based on candidate profiles, IPCAI contributions, and diversity considerations.
Farhana Moosa, King's College London
Rasoul Sharifian, EnCOV, Institut Pascal
Rema Daher, University College London
Laura Connolly, Queen's University
Chenyu Li, Shanghai Jiao Tong University