[visionlist] Call for Papers: Ninth ISIC Skin Image Analysis Workshop @ MICCAI 2024

[Emre Celebi]

 Ninth ISIC Skin Image Analysis Workshop @ MICCAI 2024
https://workshop.isic-archive.com/2024/

Hosted by the International Skin Imaging Collaboration (ISIC)

Introduction
============
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
================
The workshop will feature several prominent names in the field of skin
image analysis, including:

# Moi Hoon Yap, Ph.D., Manchester Metropolitan University (UK)
# Alceu Bissoto, Ph.D., State University of Campinas (Brazil)
# Jeremy Kawahara, Ph.D., AIP Clinic (Canada)

Important Dates
===============
July 3, 2024: Paper Submission Deadline (23:59 Pacific Standard Time)
July 24, 2024: Initial Author Notifications
July 31, 2024: Rebuttal Deadline
August 7, 2024: Final Author Notifications
August 14, 2024: Camera-Ready Submission Deadline (23:59 Pacific Standard
Time)
October 10, 2024: In-Person Workshop @ MICCAI 2024 (TBA Western 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 2024 Paper Submission Guidelines/FAQ/Site:
https://conferences.miccai.org/2024/en/PAPER-SUBMISSION.html

Manuscript Submission System:
https://cmt3.research.microsoft.com/ISICW2024/Submission/Index

Organizers
==========
Sponsors:
# 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.Sc. (Kenko AI, Barcelona, Spain)
# Yuan Liu, Ph.D. (Google Health, Palo Alto, CA, USA)

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:
# Kumar Abhishek, Simon Fraser University, Canada
# 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 Campinas, Brazil
# Siyi Du, University of British Columbia, Canada
# Ghassan Hamarneh, Simon Fraser University, Canada
# Joanna Jaworek‐Korjakowska, AGH University of Science and Technology,
Poland
# 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
# Arezou Pakzad, Simon Fraser University, Canada
# Eduardo Valle, University of Campinas, Brazil
# Moi Hoon Yap, Manchester Metropolitan University, UK

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