📄 Track Overview
Purpose & Scope
The Regular Papers track invites complete, original research that advances the state-of-the-art in computer vision for medical imaging while addressing the practical challenges of clinical deployment. This archival track is ideal for mature, well-validated work that makes significant contributions to the field.
What We're Looking For
Technical Innovation
Novel methods, architectures, or approaches that push the boundaries of medical imaging AI. This could include new foundation models, vision-language frameworks, or domain adaptation techniques.
Clinical Relevance
Clear articulation of how your work addresses real clinical needs. Discuss the clinical problem, current standard of care, and how your approach improves patient outcomes or clinical workflows.
Rigorous Evaluation
Comprehensive experimental validation on appropriate datasets, with statistical analysis and comparison to relevant baselines. Include ablation studies and failure case analysis.
Deployment Considerations
Discussion of practical deployment challenges including: computational requirements, data requirements, regulatory considerations, integration with clinical systems, and scalability.
Data Transparency
Clear description of datasets used, their limitations, potential biases, and generalization capabilities across different populations, scanners, or institutions.
Reproducibility
Sufficient implementation details to enable reproduction. We encourage (but do not require) sharing of code and pre-trained models.
Relevant Research Topics
- Foundation Models: Pre-training strategies, fine-tuning approaches, adaptation for medical domains
- Vision-Language Models: Multimodal learning, clinical report generation, visual question answering
- Domain Adaptation: Cross-scanner generalization, multi-site validation, domain shift mitigation
- Segmentation & Detection: Organ segmentation, lesion detection, anatomical landmark identification
- Classification & Diagnosis: Disease classification, severity grading, prognosis prediction
- Explainable AI: Saliency methods, counterfactual explanations, clinician-interpretable visualizations
- Fairness & Bias: Bias detection and mitigation, fairness across demographics, equitable performance
- Data-Efficient Learning: Few-shot learning, active learning, self-supervised learning, weak supervision
- Quantitative Imaging: Radiomics, imaging biomarkers, texture analysis, functional imaging
- Human-AI Collaboration: Interactive systems, uncertainty quantification, AI-assisted diagnosis
Submission Requirements
Format & Length
- Maximum 8 pages (excluding references)
- Use the official WACV 2026 template (available soon)
- References, appendices, and supplementary material do not count toward page limit
- Supplementary material is optional but encouraged (code, videos, additional results)
Anonymization (Critical)
Submissions must be fully anonymized for double-blind review:
- Remove all author names and affiliations
- Remove acknowledgments section
- Anonymize references to your own prior work (e.g., use "Previous work [X] proposed..." instead of "In our prior work [X], we proposed...")
- Anonymize any identifying information in figures, tables, or supplementary materials
- Do not include links to code repositories or project pages that reveal author identity
Required Sections
Your paper should include the following sections (though you may organize differently if appropriate):
1. Abstract
Clear summary of problem, approach, results, and clinical implications (200-250 words).
2. Introduction
Clinical motivation, current limitations, your contribution, and paper organization.
3. Related Work
Position your work within existing literature on technical methods and clinical applications.
4. Methods
Detailed technical description with sufficient detail for reproduction.
5. Experiments
Datasets, evaluation metrics, implementation details, baseline comparisons, ablation studies.
6. Results
Quantitative and qualitative results with statistical significance testing.
7. Discussion
Critical section: Clinical implications, deployment considerations, limitations, failure cases, and future work.
8. Conclusion
Summary of contributions and broader impact.
Clinical Relevance Statement (Required)
All regular papers must include a dedicated discussion of clinical relevance. This can be integrated into your Introduction and Discussion sections or appear as a separate section. Address:
- What clinical problem does this solve?
- What is the current clinical standard of care?
- How does your method improve upon existing clinical practice?
- What are the practical requirements for clinical deployment?
- What clinical validation would be needed before deployment?
- What are potential risks or failure modes in clinical use?
Data & Ethics Considerations
- Dataset Description: Clearly describe all datasets used, including source, size, demographics, and any preprocessing
- Ethics Approval: State whether ethics approval/IRB was obtained and any relevant approval numbers
- Data Availability: Indicate whether data is publicly available or under restricted access
- Limitations: Discuss dataset limitations, potential biases, and generalization concerns
- Patient Privacy: Confirm all data is de-identified and privacy-protected
Review Process
Submission
Submit via the submission portal (link coming soon) by November 28, 2025
Desk Review
Organizers check for formatting compliance and topic relevance (1-2 days)
Double-Blind Review
At least 3 expert reviewers evaluate: technical quality, novelty, clinical relevance, experimental rigor, and presentation quality
Discussion Period
Reviewers discuss and reach consensus on acceptance decision
Notification
Authors notified by January 2, 2026 with detailed reviews
Camera-Ready
Authors revise based on feedback and submit final version
Review Criteria
Papers will be evaluated on:
Soundness of approach, rigor of methodology
Originality and significance of contribution
Importance of problem and practical applicability
Thoroughness of experiments and analysis
Clarity of writing and quality of figures
Sufficient detail for reproduction
Presentation & Publication
Accepted Papers Will:
- ✓ Be published in the official WACV 2026 Workshop Proceedings
- ✓ Be indexed in IEEE Xplore and CVF Open Access
- ✓ Present as either oral or poster at the workshop
- ✓ Receive detailed reviews to strengthen the final version
- ✓ Have opportunity to participate in panel discussions
Presentation Formats
Oral Presentations: Selected high-impact papers will present in 12-minute talks (10 min presentation + 2 min Q&A)
Poster Presentations: All accepted papers will present posters during dedicated poster sessions
At least one author must register for and attend the workshop to present.
Tips for a Strong Submission
🎯 Clear Clinical Motivation
Start by clearly articulating the clinical problem. Reviewers from both CV and clinical backgrounds should understand why this matters.
📊 Comprehensive Evaluation
Don't just report metrics. Analyze results, show failure cases, discuss limitations, and include statistical significance tests.
🔬 Rigorous Baselines
Compare against relevant and strong baselines. Show ablations to demonstrate the value of each component.
💡 Deployment Discussion
Address practical deployment: What hardware is needed? How much data? What are integration challenges? Regulatory considerations?
⚖️ Fairness & Limitations
Explicitly discuss dataset biases, population representation, and performance across different demographic groups.
✍️ Clear Writing
Write clearly for both CV researchers and clinical readers. Define medical terms and explain clinical context.
Important Dates
Submission Portal
Submission portal will open in October 2025.
We will use a standard conference management system (details coming soon). You will need to create an account and upload your PDF submission.
Check back here or contact p2pcv.wacv@gmail.com for updates.
Questions?
If you have questions about the Regular Papers track, please contact us at p2pcv.wacv@gmail.com with "Regular Papers" in the subject line.
Ready to Submit?
Start preparing your submission for the Regular Papers track!