Oral Presentation
Selected papers presented in thematic sessions with 8 minutes for presentation and 2 minutes for questions.
Computer Vision/CORE Unranked
MIART 2026
Workshop on Medical Image AI in Radiation Therapy
The MIART 2026 workshop, held in conjunction with MICCAI 2026, focuses on Medical Image AI in Radiation Therapy, aiming to bridge data-driven AI research with clinical radiotherapy practice. It brings together researchers to advance physics-aware and biologically grounded AI solutions across the therapeutic workflow, from image synthesis and segmentation to adaptive treatment and clinical safety.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Poster Presentation
Accepted papers displayed as posters, with presentation details provided to authors ahead of the workshop.
Research areas in scope
01
Therapeutic AI Workflow Topics
Therapeutic Image Synthesis and ReconstructionTarget Definition and Geometric ModellingTreatment Optimisation and AutomationBiophysical Modelling and Response PredictionAdaptive Therapy and Motion ManagementData Scarcity and In Silico ModellingClinical Translation and SafetyAdvanced Modalities
Policies worth checking twice
- Manuscripts must be 8–10 pages (including references)
- Submissions must be formatted and anonymised according to LNCS style
- Double-blind review process with conflict-of-interest avoidance
- Papers involving patient data must state ethical approval or waiver status
- Use of synthetic or simulated data must be explicitly identified
- Submissions must be made via OpenReview
- Accepted papers will be published in MICCAI 2026 Springer proceedings
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Official workshop siteCall for PapersAbout & Announcements Workshop motivation, objectives, and the latest news.
Last verified September 9, 2026