Submission Types — Abstracts
Abstract Topics
- Image classification, object detection, and localization
- Segmentation (including anatomical structures, lesions, and specific applications like radiotherapy planning)
- Generative Models (GANs, Diffusion Models, VAEs) for data augmentation, synthesis, super-resolution, and anomaly detection
- Image registration (rigid, non-rigid, cross-modality)
- Image reconstruction (from raw data, accelerated MRI, low-dose CT, etc.)
- Image quality assessment and enhancement
Abstract Submission Guidelines
Scientific & Experiential Abstracts — Required Sections
- Introduction / Background
- Methods / Intervention
- Results / Outcome
- Conclusion
- Statement of Impact
- Keywords
Abstract Presentation Format
Oral: Single presenter in a like-topic session. 10-minute presentation + 5-minute Q&A.
Poster: Single or team presenters. 4’ × 8’ poster boards.
Note: SIIM will not provide honoraria or cover expenses for presenters of accepted abstracts.
Abstract Review Criteria
- Relevance / Interest to SIIM Audience [scored 1–10]
- Clarity of Abstract [scored 1–10]
- Innovation / Innovativeness [scored 1–10]
- Scientific Rigor [scored 1–10]
How to Submit
Click SUBMIT YOUR WORK to be redirected to the SIIM-CAIMI26 Submission Portal.
- Under New Users, click JOIN NOW and create an account with your email address.
- Your portal account is separate from your My SIIM Account.
- Save your portal credentials — you’ll need them to log back in, check your submission status, and make edits before the July 24, 2026 at 11:59 PM PST deadline.
- Recommended browsers: Google Chrome or Firefox. Do not use Edge, Safari, or Internet Explorer.
CAIMI AI Builder Showcase
What Is the Builder Showcase?
Not every impactful AI idea starts as a polished research paper. The CAIMI AI Builder Showcase is a new submission pathway for early-stage tools, workflows, prototypes, integrations, and practical AI solutions designed to solve real clinical problems.
Whether you built a workflow automation, an LLM-powered tool, a deployment pipeline, a vibe-coded prototype, a clinical integration, or a creative AI solution that deserves community feedback — we want to see it.
Less polish. More innovation. Bring what you’re building.
Ideal for: trainees, developers, clinical informaticists, and anyone who built something that works and wants feedback from the people who’d use it.
VENDOR SUBMISSIONS ARE NOT ALLOWED
Submission Guidelines
Submissions should address the following six sections:
- Problem Statement — What clinical or operational challenge does this address?
- Approach / What You Built — Describe the tool, workflow, or solution and how it works.
- Demo or Evidence of Function — Link to a video, live web app, or GitHub repository strongly encouraged.
- Clinical or Operational Impact — Who benefits, and how?
- Current Stage — Concept / Prototype / Deployed (all stages welcome).
- What Feedback You’re Seeking — What questions do you want the audience to help you answer?
Builder Showcase Presentation Format
Live Demo / MVP Pitch: 10-minute live demo or video walkthrough with Q&A. Available only for Builder Showcase submissions.
Note: SIIM will not provide honoraria or cover expenses for presenters.
Builder Showcase Review Criteria
Note: Scientific rigor in the traditional sense is not a primary criterion for this track.
- Problem Relevance [scored 1–10]
- Creativity & Innovation [scored 1–10]
- Feasibility & Real-World Potential [scored 1–10]
- Quality of Demo or Evidence [scored 1–10]
How to Submit
Click SUBMIT YOUR WORK to be redirected to the SIIM-CAIMI26 Submission Portal.
- Under New Users, click JOIN NOW and create an account with your email address.
- Your portal account is separate from your My SIIM Account.
- Save your portal credentials — you’ll need them to log back in, check your submission status, and make edits before the July 24, 2026 at 11:59 PM PST deadline.
- Recommended browsers: Google Chrome or Firefox. Do not use Edge, Safari, or Internet Explorer.
Questions?
Testimonials
“The opening keynote was truly inspiring. CMIMI provides a medium for professional researchers and students alike to share their cutting-edge research in machine learning and radiology, two fields whose intersection is frequently talked about but rarely has experts in. CMIMI is THE conference to go to if you want to meet the best in the field.”
SIIM-CAIMI Attendee