DCA-MI 2026 Social Launch Kit

Canonical landing page: https://dca-in-mi.github.io/

OpenReview status: portal coming soon. Do not publish a generic OpenReview link.

Handle policy: replace @OrganizerHandle, @SpeakerHandle, @DatasetLeadHandle, and @InstitutionHandle only after each handle is verified. If a handle is not verified, remove the placeholder before posting.

Launch Timing

X / Twitter Drafts

CFP Teaser 1

DCA-MI 2026 CFP is coming soon.

We welcome broad medical imaging work on data-centric AI: datasets, evaluation, curation, robustness, annotation, benchmarking, and real-world validation.

OpenReview portal coming soon.

@OrganizerHandle @SpeakerHandle #ECCV2026 #MedicalImaging

CFP Teaser 2

What makes medical imaging AI reliable in practice?

DCA-MI 2026 will focus on data quality, realistic benchmarks, dataset curation, evaluation pipelines, and model development grounded in real clinical variation.

CFP + OpenReview portal coming soon.

@OrganizerHandle #ECCV2026 #MedAI

Dataset Spotlight

Dataset and benchmark spotlights for DCA-MI 2026: iMED2026, CLiMB2026, and SurgVU.

We will discuss realistic medical imaging data, benchmark construction, evaluation reliability, and the gap between controlled datasets and clinical conditions.

@DatasetLeadHandle #MedicalImaging #DataCentricAI

Topics Teaser

We are preparing the DCA-MI 2026 call for papers.

Topics include dataset creation, quality control, pseudo-labeling, simulation-to-real gaps, real-world evaluation, benchmarking, and trustworthy deployment.

OpenReview portal coming soon.

#ECCV2026 #MedicalImaging

LinkedIn Drafts

CFP Teaser

DCA-MI 2026 is preparing its Call for Papers.

This year, we are broadening the discussion across data-centric AI for medical imaging, including dataset design, curation, quality control, annotation, pseudo-labeling, benchmarking, robustness, and realistic evaluation.

The OpenReview submission portal will be announced soon.

We welcome contributions from researchers working across medical imaging domains, clinical data settings, and evaluation pipelines.

@OrganizerHandle @SpeakerHandle

#ECCV2026 #MedicalImaging #DataCentricAI #MedAI

Reach / Discussion Prompt

Reliable AI in medical imaging depends on more than model architecture.

DCA-MI 2026 will focus on the data and evaluation foundations that make progress measurable: realistic datasets, curated benchmarks, clinical variation, pseudo-ground truth, reproducibility, and challenge design.

Our CFP and OpenReview portal are coming soon.

What data bottleneck is most limiting robust medical imaging AI right now?

#ECCV2026 #MedicalImaging #ResponsibleAI #DataCentricAI

Dataset Spotlight

DCA-MI 2026 will feature highlighted dataset and benchmark spotlights, including iMED2026, CLiMB2026, and SurgVU.

These spotlights support a broader conversation about realistic medical imaging data, benchmark construction, evaluation reliability, and the gap between controlled datasets and real clinical conditions.

Call for Papers coming soon. OpenReview portal to follow.

@DatasetLeadHandle @InstitutionHandle

#MedicalImaging #ClinicalAI #DataCentricAI #Benchmarking

Organizer Review / Bio Request

Hi everyone, we are updating the DCA-MI 2026 website and CFP materials. Please review the current website and send back any recommendations, corrections, or missing information.

Please also send a short bio, affiliation, website link, preferred profile photo, LinkedIn profile, X/Twitter handle if you want it used, and any speaker/topic corrections. We are using verified links only and will leave social handles out unless confirmed.

Outreach Targets To Fill

Measurement Checklist