ISIC 2026

Deadlines
Computer Vision/CORE Unranked

ISIC 2026

Eleventh ISIC Skin Image Analysis Workshop at MICCAI 2026

1790445600000Strasbourg, FranceOfficial workshop site Site reachable

The ISIC Skin Image Analysis Workshop @ MICCAI 2026 is a premier venue for advancing research in skin image analysis, focusing on computer vision and AI applications in dermatology. It brings together researchers to address challenges such as disease classification, bias mitigation, multimodal data analysis, and explainable AI using diverse skin imaging modalities, with the goal of improving clinical outcomes and fairness in skin cancer detection.

Official CFP Back to deadlines Verified September 9, 2026

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Paper

Submissions are peer-reviewed papers following MICCAI guidelines: up to 8 pages of text, figures, and tables plus up to 2 pages of references, submitted via OpenReview under a double-blind review process.

Research areas in scope

01

Topics of Interest

Computer Vision in Dermatology and Primary CareFew-Shot Learning for Dermatological ConditionsSkin Analysis from Dermoscopic ImagesSkin Analysis from Clinical PhotographsSkin Analysis from VideoSkin Analysis from Total-Body Photography and 3D Skin ReconstructionsSkin Analysis from Confocal MicroscopySkin Analysis from Optical Coherence Tomography (OCT)Skin Analysis from Histopathological ImagesSkin Analysis from ex-vivo and Fluorescence MicroscopySkin Analysis from Multi-Modal Data SourcesExplainable Artificial Intelligence (XAI) Related to Skin Image AnalysisAlgorithms to Mitigate Class ImbalanceUncertainty Estimation Related to Skin Image AnalysisHuman-Computer Interaction & Application Workflows for Skin Image AnalysisRobustness to Bias from Clinical and User-Originating PhotographyAssessing and Creating Fairness of Skin Analysis in Underrepresented GroupsCombined Application of Image Analysis and Large Language Models/Natural Language Processing (e.g., applied to EHR)Skin Cancer Prognosis and/or Risk Stratification Using Skin Imaging Data

Policies worth checking twice

  • Double-blind review process
  • Up to 8 pages of text, figures, and tables + up to 2 pages of references
  • Manuscripts submitted via OpenReview
  • Two awards given: Best Paper Award and Honorable Mention Award, judged by workshop chairs based on reviewer comments, novelty, potential impact, and manuscript quality