Full Papers
Original research contributions with comprehensive results and analysis.
AI/CORE Unranked
MICCAI 2026
The 7th International Workshop on Advances in Simplifying Medical UltraSound (ASMUS)
ASMUS 2026 is a workshop affiliated with MICCAI 2026, organized by the MICCAI Ultrasound Special Interest Group (SIG), focused on advancing ultrasound research through machine learning, image analysis, and clinical applications. It provides a platform for researchers to present innovative work in ultrasound imaging, segmentation, tracking, and quantitative analysis.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short Papers
Concise presentations of preliminary results, novel methods, or clinical case studies.
Challenge Proposals
Proposals for new benchmarks or challenges in ultrasound analysis.
Research areas in scope
01
Research Topics
Ultrasound image segmentationUltrasound image registrationUltrasound image synthesis and enhancementUltrasound video analysis and trackingQuantitative ultrasound analysisUltrasound-guided interventionsDeep learning for ultrasoundReal-time ultrasound processingClinical applications of ultrasound AIUltrasound data augmentation and simulationMulti-modal ultrasound integrationUltrasound dataset creation and benchmarking
Policies worth checking twice
- Submissions must be anonymized for blind review.
- Papers must not be under review elsewhere during submission.
- All submissions must be original and not previously published.
- Author lists and affiliations may be updated after acceptance.
- Authors must include an AI-use statement if generative AI tools were used in the preparation of the paper.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026