Call for Papers

Eleventh ISIC Skin Image Analysis Workshop @ MICCAI 2026
https://workshop.isic-archive.com/2026/

Hosted by the International Skin Imaging Collaboration (ISIC)

Introduction
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Skin is the largest organ of the human body, and is the first area of a patient assessed by clinical staff. The skin delivers numerous insights into a patient’s underlying health: for example, pale or blue skin suggests respiratory issues, unusually yellowish skin can signal hepatic issues, or certain rashes can be indicative of autoimmune issues. In addition, dermatological complaints are also among the most prevalent in primary care (Lowell et al., 2001). Images of the skin are the most easily captured form of medical image in healthcare, and the domain shares qualities to standard computer vision datasets, serving as a natural bridge between standard computer vision tasks and medical applications. However, significant and unique challenges still exist in this domain. For example, there is remarkable visual similarity across disease conditions, and compared to other medical imaging domains, varying genetics, disease states, imaging equipment, and imaging conditions can significantly change the appearance of the skin, making localization and classification in this domain unsolved tasks.

This workshop will serve as a venue to facilitate advancements and knowledge dissemination in the field of skin image analysis, raising awareness and interest for these socially valuable tasks. Invited speakers include major influencers in computer vision and skin imaging, and authors of accepted papers.

Lowell et al. “Dermatology in Primary Care: Prevalence and Patient Disposition,” Journal of the American Academy of Dermatology, vol. 45, no. 2, pp. 250–255, 2001.

Topics of interest include:
# Computer Vision in Dermatology and Primary Care
# Few-Shot Learning for Dermatological Conditions
# Skin Analysis from Dermoscopic Images
# Skin Analysis from Clinical Photographs
# Skin Analysis from Video
# Skin Analysis from Total-Body Photography and 3D Skin Reconstructions
# Skin Analysis from Confocal Microscopy
# Skin Analysis from Optical Coherence Tomography (OCT)
# Skin Analysis from Histopathological Images
# Skin Analysis from ex-vivo and Fluorescence Microscopy
# Skin Analysis from Multi-Modal Data Sources
# Explainable Artificial Intelligence (XAI) Related to Skin Image Analysis
# Algorithms to Mitigate Class Imbalance
# Uncertainty Estimation Related to Skin Image Analysis
# Human-Computer Interaction & Application Workflows for Skin Image Analysis
# Robustness to Bias from Clinical and User-Originating Photography
# Assessing and Creating Fairness of Skin Analysis in Underrepresented Groups
# Combined 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

The workshop will give out two awards towards paper submissions:
# Best Paper Award
# Honorable Mention Award

Judging will be carried out by the workshop chairs based on the reviewer comments, novelty, potential impact, and manuscript quality.

Invited Speakers
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The workshop will feature several prominent names in the field of skin image analysis, including: TBA

Important Dates
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Jul 1, 2026: Paper Submission Deadline (23:59 Pacific Time)
Jul 31, 2026: Author Notifications
Aug TBA, 2026: Camera-Ready Submission Deadline (23:59 Pacific Time)
Sep 27 or Oct 1, 2026: In-Person Workshop @ MICCAI 2026 (TBA Central European Summer Time)

Paper Submission
================
For paper submissions, the conference guidelines are followed (double-blind review process, up to 8 pages of text, figures, and tables + up to 2 pages of references). Accepted papers will be published in a Lecture Notes in Computer Science (LNCS) volume to be published by Springer Nature.

MICCAI 2026 Paper Submission Guidelines/FAQ:
https://conferences.miccai.org/2026/en/PAPER-SUBMISSION-GUIDELINES.html
https://conferences.miccai.org/2026/en/PAPER-SUBMISSION-FAQ.html

OpenReview will be used to manage the peer-review process for this workshop. Details will be available on the workshop website shortly.

Organizers
==========
Sponsor:
# Canfield Scientific, Inc.

Workshop Organizers:
# M. Emre Celebi, Ph.D. (University of Central Arkansas, Conway, AR, USA)
# Catarina Barata, Ph.D. (Instituto Superior Técnico, Lisbon, Portugal)
# Allan Halpern, M.D. (Memorial Sloan Kettering Cancer Center, New York City, NY, USA)
# Philipp Tschandl, M.D. Ph.D. (Medical University of Vienna, Vienna, Austria)
# Marc Combalia, M.S. (Kenko AI, Barcelona, Spain)
# Kumar Abhishek, M.S. (Simon Fraser University, Burnaby, BC, Canada)
# Joanna Jaworek-Korjakowska, Ph.D. (AGH University of Krakow, Krakow, Poland)
# Moi Hoon Yap, Ph.D. (Manchester Metropolitan University, Manchester, England)

Steering Committee:
# Noel C. F. Codella, Ph.D. (Microsoft, Redmond, WA, USA)
# Anthony Hoogs, Ph.D. (Kitware, Clifton Park, NY, USA)
# Yun Liu, Ph.D. (Google Health, Palo Alto, CA, USA)
# Dale Webster, Ph.D. (Google Health, Palo Alto, CA, USA)

Tentative Program Committee:
# Euijoon Ahn, James Cook University, Australia
# Sandra Avila, University of Campinas, Brazil
# Nourhan Bayasi, University of British Columbia, Canada
# Lei Bi, University of Sydney, Australia
# Alceu Bissoto, University of Bern, Switzerland
# Ben Cardoen, Simon Fraser University, Canada
# Bill Cassidy, Manchester Metropolitan University, UK
# Siyi Du, Imperial College London, UK
# Matthew Groh, Northwestern University, USA
# Ghassan Hamarneh, Simon Fraser University, Canada
# Jeremy Kawahara, Simon Fraser University, Canada
# Jinman Kim, University of Sydney, Australia
# Sinan Kockara, Rice University, USA
# Kivanc Kose, Memorial Sloan Kettering Cancer Center, USA
# Tim K. Lee, University of British Columbia, Canada
# Carlos Santiago, Instituto Superior Técnico, Portugal
# Eduardo Valle, University of Campinas, Brazil
# Janet Wang, Tulane University, USA
# Yuheng Wang, University of British Columbia, Canada
# Fengying Xie, Beihang University, China

Contact Email: workshop ***AT*** isic-archive ***DOT*** ***COM***