VADH 2025 : First Workshop on Vision-Based AI for Digital Health: From Pixels to Practice
We invite paper submissions with topics include, but not limited to:
- Vision LLM for Healthcare
* Improving diagnostic accuracy in clinical settings
* Improving treatment planning in clinical settings
* Interpreting medical images
* Generating detailed clinical reports
- Medical Image Analysis and Diagnostics
* Detecting abnormalities
* Improving diagnostic precision
* Supporting treatment planning
- Real-Time 3D Reconstruction for Medical Endoscopy
* Challenges in Endoscopic 3D Reconstruction
* Methodological Spectrum
* Adaptations for Endoscope Types
* Benchmarking & Datasets
- Applications in Digital Health
* Identifying cancerous lesions at early stages
* Wound monitoring through sequential image analysis to track healing progress
* Gait analysis via video-based methods to assess patient mobility
* Remote patient monitoring using live video streams to continuously track vital signs and patient behaviors
Paper formatting: Papers must be a minimum of 4 pages and may not exceed 8 pages, including all figures and tables, formatted in the official ICCV style. Additional pages are permitted only for references. Please download the ICCV 2025 Author Kit (https://media.eventhosts.cc/Conferences/ICCV2025/ICCV2025-Author-Kit-Feb.zip) for detailed formatting instructions.
Please follow the ICCV 2025 Author Guidelines (https://iccv.thecvf.com/Conferences/2025/AuthorGuidelines) and submit your paper through the VADH 2025 submission portal on Openreview (https://openreview.net/group?id=thecvf.com/ICCV/2025/Workshop/VADH).
Accepted papers will be published in the ICCV 2025 Workshop Proceedings following the ICCV 2025 publication guidelines.
- Vision LLM for Healthcare
* Improving diagnostic accuracy in clinical settings
* Improving treatment planning in clinical settings
* Interpreting medical images
* Generating detailed clinical reports
- Medical Image Analysis and Diagnostics
* Detecting abnormalities
* Improving diagnostic precision
* Supporting treatment planning
- Real-Time 3D Reconstruction for Medical Endoscopy
* Challenges in Endoscopic 3D Reconstruction
* Methodological Spectrum
* Adaptations for Endoscope Types
* Benchmarking & Datasets
- Applications in Digital Health
* Identifying cancerous lesions at early stages
* Wound monitoring through sequential image analysis to track healing progress
* Gait analysis via video-based methods to assess patient mobility
* Remote patient monitoring using live video streams to continuously track vital signs and patient behaviors
Paper formatting: Papers must be a minimum of 4 pages and may not exceed 8 pages, including all figures and tables, formatted in the official ICCV style. Additional pages are permitted only for references. Please download the ICCV 2025 Author Kit (https://media.eventhosts.cc/Conferences/ICCV2025/ICCV2025-Author-Kit-Feb.zip) for detailed formatting instructions.
Please follow the ICCV 2025 Author Guidelines (https://iccv.thecvf.com/Conferences/2025/AuthorGuidelines) and submit your paper through the VADH 2025 submission portal on Openreview (https://openreview.net/group?id=thecvf.com/ICCV/2025/Workshop/VADH).
Accepted papers will be published in the ICCV 2025 Workshop Proceedings following the ICCV 2025 publication guidelines.