Full Papers
Original research contributions with substantial technical content and experimental validation.
Machine Learning/CORE Unranked
ML-CDS2026 2026
ML-CDS 2026: Multimodal Learning and Fusion Across Scales for Clinical Decision Support
ML-CDS @ MICCAI 2026 is a workshop focused on machine learning for computational disease characterization and diagnostics, held in conjunction with the MICCAI conference. It aims to bring together researchers to present and discuss innovative machine learning methods applied to medical imaging and clinical data for improved disease understanding and diagnosis.
Key deadlines
Verified September 9, 2026Abstract registration
June 24, 2026
AoE
Full paper
June 29, 2026
AoE
Conference timeline
Submission and decisions
Abstract registrationKey deadline
June 24, 2026 · AoE
Full paperKey deadline
June 29, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short Papers
Preliminary results, novel ideas, or work in progress with clear potential for discussion.
Journal Track
Extended versions of previously published work suitable for journal submission, with additional material and deeper analysis.
Research areas in scope
01
Topics of Interest
Machine learning for disease characterizationComputational pathologyMedical image analysisMultimodal data integrationLongitudinal disease progression modelingBiomarker discoveryExplainable AI in clinical diagnosticsTransfer learning and domain adaptation in medical imagingFederated learning for healthcareAI for rare diseasesClinical validation of ML modelsReal-world deployment of ML in diagnostics
Policies worth checking twice
- Submissions must be anonymized for double-blind review.
- Papers must not exceed 10 pages for full papers and 5 pages for short papers, including references and figures.
- Dual submission to other conferences or journals is not allowed during review.
- Author lists and affiliations may be updated after acceptance but not during the review process.
- Authors must include a statement on the use of AI tools in the preparation of the manuscript.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026