About the Workshop
Welcome to the Workshop on Advanced Perception for Autonomous Healthcare (APAH), held in conjunction with ICCV 2025 in Honolulu, Hawaii.
This workshop seeks to investigate state-of-the-art technologies that enhance healthcare by making it more autonomous, efficient, and patient-focused, while tackling issues such as medical errors and the demand for precise diagnostics. Given the rapid advancements in computer vision and AI, the workshop is crucial for meeting the growing need for effective and accurate healthcare solutions. It offers a platform for researchers in AI and healthcare to exchange ideas, present their work, and collaborate on future initiatives.
The event will include invited talks by leading experts, panel discussions on critical topics, and interactive sessions for participants to share research and engage in problem-solving. This structure ensures a thorough exploration of both theoretical principles and practical applications, appealing to a diverse audience of computer vision researchers, clinicians, and industry professionals. The workshop emphasizes the use of advanced visual perception technologies to increase autonomy in healthcare. This aligns with the broader movement of incorporating AI and machine learning into medical practices, motivated by the need for greater diagnostic accuracy, fewer medical errors, and more efficient patient care. It also aims to promote collaboration between computer vision researchers and healthcare professionals, addressing challenges like the shortage of medical staff and rising healthcare costs.
Keynote Speakers
Meet our distinguished keynote speakers.
Nicolas Padoy
University of Strasbourg
Nicolas Padoy is a Professor of Computer Science at the University of Strasbourg, France, and the Scientific Director as well as Director of Computer Science and Artificial Intelligence Research at the IHU Strasbourg, a leading institute for minimally invasive surgery. He leads the CAMMA research group (Computational Analysis and Modeling of Medical Activities).
Serena Yeung
Stanford University
Serena Yeung is an Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering at Stanford University. She leads the Medical AI and Computer Vision Lab (MARVL) and serves as Associate Director of Data Science for the Stanford Center for Artificial Intelligence in Medicine & Imaging (AIMI). Her research focuses on computer vision, machine learning, and deep learning applications in healthcare.
Qixing Huang
The University of Texas at Austin
Qixing Huang is an Associate Professor of Computer Science at the University of Texas at Austin. His research spans computer vision, computer graphics, and machine learning, with recent focus on developing 3D generative models that enforce geometric, physical, and topological priors. He has received numerous awards including NSF Career award, IJCAI Career Spotlight, and best paper awards at SIGGRAPH and CVPR.
Zongwei Zhou
Johns Hopkins University
Zongwei Zhou is an Assistant Research Professor in the Department of Computer Science at Johns Hopkins University. His research focuses on developing novel methods to reduce annotation efforts for computer-aided detection and diagnosis. He has received the AMIA Doctoral Dissertation Award, Elsevier-MedIA Best Paper Award, and MICCAI Young Scientist Award. He has published over 60 peer-reviewed articles and holds 10 U.S. patents.
Workshop Program
October 20, 2025 • Honolulu, Hawaii
Session Schedule
| Time | Session | Presenter(s) |
|---|---|---|
| 8:00 - 8:05 | Opening Remark | Ziyan Wu, Meng Zheng |
| 8:05 - 8:25 | Oral Presentation: TAGS: 3D Tumor-Adaptive Guidance for SAM | Sirui Li, Linkai Peng, Zheyuan Zhang, Gorkem Durak, Ulas Bagci |
| 8:25 - 9:00 | Keynote Presentation: TBD | Serena Yeung |
| 9:00 - 9:20 | Oral Presentation: UltraNBA: Neural Bundle Adjustment for Pose Refinement in 3D Freehand Ultrasound | Bugra Yesilkaynak, Vanessa Gonzalez Duque, Magdalena Wysocki, Mohammad Farid Azampour, Nassir Navab, Diana Mateus |
| 9:20 - 9:55 | Keynote Presentation: TBD | Nicolas Padoy |
| 9:55 - 10:30 | Keynote Presentation: TBD | Qixing Huang |
| 10:30 - 11:15 | Coffee Break + Poster Session | See poster presentations below |
| 11:15 - 11:45 | Invited Presentation: TBD | Zongpai Gao |
| 11:45 - 12:20 | Keynote Presentation: ScaleMAI: Accelerate the Development of Scalable Medical Artificial Intelligence | Zongwei Zhou |
| 12:20 - 12:30 | Closing Remark | Ziyan Wu, Meng Zheng |
Poster Presentations
During Poster Session (10:30 - 11:15 AM)
Best Foot Forward: Robust Foot Reconstruction in-the-wild
Kyle Fogarty, Jing Yang, Chayan Kumar Patodi, Jack Foster, Aadi Bhanti, Steven Chacko, Cengiz Oztireli, Ujwal Bonde
MAPS: A Morphology-Aware PPE Segmentation Framework for Healthcare Settings
Wanzhao Yang, Syed Anwar, Beomseok Park, Sifan Yuan, Aleksandra Sarcevic, Marius George Linguraru, Randall S. Burd, Ivan Marsic
Automated C-Arm Positioning via Conformal Landmark Localization
Ahmad Arrabi, Jay Hwasung Jung, Jax Luo, Nathan Franssen, Scott B. Raymond, Safwan Wshah
Learning Generalizable Diabetic Retinopathy Grading by Decoupled State Space Decoding
Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Huimin Huang, Yuexiang Li, Xian Wu, Yefeng Zheng
TAGS: 3D Tumor-Adaptive Guidance for SAM
Sirui Li, Linkai Peng, Zheyuan Zhang, Gorkem Durak, Ulas Bagci
UltraNBA: Neural Bundle Adjustment for Pose Refinement in 3D Freehand Ultrasound
Bugra Yesilkaynak, Vanessa Gonzalez Duque, Magdalena Wysocki, Mohammad Farid Azampour, Nassir Navab, Diana Mateus
Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis
Eva Prakash, Jeya Maria Jose Valanarasu, Zhihong Chen, Eduardo Pontes Reis, Andrew Johnston, Anuj Pareek, Christian Bluethgen, Sergios Gatidis, Cameron Olsen, Akshay S Chaudhari, Andrew Y. Ng, Curtis Langlotz
Important: For poster preparation specifications (84" x 42" landscape format) and information about the convenient on-site poster printing service, please refer to the ICCV 2025 Poster Guidelines.
Organizers
Program Committee
Arun Innanje
United Imaging Intelligence
Boston, MA USA
Jiacheng Kong
Northeastern University
Boston, MA USA
Rong Liu
University of Southern California
Los Angeles, CA USA
Samhita Marri
University of Illinois Urbana-Champaign
Urbana, IL USA
Yuhao Su
Northeastern University
Boston, MA USA
Jiachen Tao
University of Illinois Chicago
Chicago, IL USA
Junyi Wu
University of Illinois Chicago
Chicago, IL USA
Call for Papers
Please submit your manuscript formatted according to ICCV 2025 Author Guidelines to APAH2025 OpenReview submission site. Accepted papers are intended to be published in the ICCV 2025 Proceedings.
We encourage submissions that report on novel theories, methods, and applications of advanced perception in autonomous healthcare.
Topics of Interest
We invite contributions on a wide range of topics related to advanced perception for autonomous healthcare, including but not limited to:
- Visual Sensing in Medical Environments
- Vision-Guided Surgical Robotics
- Patient modeling with fusion of computer vision and medical imaging
- 3D and 4D perception of medical environments
- Construction of digital twins for healthcare with advanced perception
- Implicit modeling for healthcare
- Efficient modeling and visualization of medical data with NeRF and 3D Gaussian Splatting
- Physiological monitoring with computer vision
- Embodied AI for Healthcare
- Visual-Language Models for Medical Procedures
- Real-Time Vision Systems for Automated Medical Exams
- Privacy preservation in AI-empowered healthcare workflows
- Explainable visual perception algorithms for healthcare
- Foundation models for autonomous perception in healthcare environments
Timeline
- Paper submission deadline: July 3, 2025 23:59 (HST time)
- Notification to authors: July 11, 2025
- Camera ready deadline: August 18, 2025
- Workshop Date: October 20, 2025
Venue & Location
The workshop will be held in conjunction with ICCV 2025.
Workshop Location
Honolulu Convention Center
1801 Kalākaua Ave, Honolulu, HI 96815
USA
APAH is co-located with the International Conference on Computer Vision (ICCV 2025). Please refer to the main ICCV 2025 website for details on travel and accommodation.
Attending APAH@ICCV2025
To attend the APAH workshop, please register for ICCV 2025 and select our workshop. Registration details will be available on the main ICCV 2025 website.
Registration for APAH is handled through the official ICCV 2025 conference registration system. Please visit the ICCV 2025 website for details on fees and how to register for workshops.
Go To ICCV2025Contact Information
Get in Touch
For general inquiries about the workshop, please contact:
Email: apahws@googlegroups.com