Fifth ISIC Skin Image Analysis Workshop Call for Papers

Fifth ISIC Skin Image Analysis Workshop @ CVPR 2020

Hosted by the International Skin Imaging Collaboration (ISIC)

Skin is the largest organ of the human body, and is the first area of
assessment performed by any clinical staff when a patient is seen, as
it delivers numerous insights into a patient’s underlying
health. For example, cardiac function, liver function, immune
function, and physical injuries can be assessed by examining the
skin. In addition, dermatologic complaints are also among the most
prevalent in primary care [1]. Images of the skin are the most easily
captured form of medical image in healthcare, and the domain shares
qualities to other 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 significant visual similarity
across disease conditions, and in comparison to other medical imaging
modalities, the skin is an organ which has no expected shape: varying
genetics, disease states, imaging equipment, and environments can
significantly change its appearance, 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. Speakers
include (confirmed) major influencers in computer vision and skin
imaging, and authors of accepted papers. This is the fifth installment
of the workshop, which was previously held in Prague, Czech Republic
(2016); Melbourne, Australia (2017); Granada, Spain (2018); and Long
Beach, CA, USA (2019).

[1] Lowell BA, et al. Dermatology in Primary Care: Prevalence and
Patient Disposition. Journal of the American Academy of Dermatology,
45(2): 250–255, 2001.

Topics of Interest include
+ Computer Vision Applied to Dermatology and Primary Care
+ Skin Analysis from Dermoscopic Images
+ Skin Analysis from Consumer-Grade 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 Multi-Modal Data Sources
+ Interpretable or Explainable AI Related to Skin Image Analysis
+ Algorithms to Mitigate Dataset Imbalance
+ Uncertainty Estimation Related to Skin Image Analysis
+ Application Workflows for Skin Image Analysis
+ Robustness to Bias from Clinical and User-Originating Photography
+ Few-Shot Learning in Skin Images

The workshop will give out 2 awards towards paper submissions:
* Best Paper Award: $4,000
* Honorable Mention: $2,000

Judging will be carried out by the workshop chairs according to paper
reviews, quality of research, potential impact, and novelty.

To submit a paper, and to learn about available datasets for research,
please visit the workshop website at the following address:

Invited Speakers
Kristin Dana (Professor, Rutgers University)
Tim K. Lee (Associate Professor, University of British Columbia)
Doug Canfield (CEO of Canfield Scientific, Inc.)
Daniel Mark Siegel M.D. (Clinical Professor, SUNY Downstate)

Important Dates
Submission of full-length papers: February 28, 2020 (23:59 EDT)
Notification of acceptance: March 16, 2020
Submission of camera-ready papers: Mid-April, 2020 (Exact Date TBA)
Workshop@CVPR 2020: Mid-June, 2020

Canfield Scientific, Inc.
IBM Research

Workshop Organizers
M. Emre Celebi Ph.D. (University of Central Arkansas, Arkansas, USA)
Noel C. F. Codella Ph.D. (IBM Research, New York, USA)
Marc Combalia M.Sc. (Hospital Clinic of Barcelona, Barcelona, Spain)
Kristin Dana Ph.D. (Rutgers University, New Jersey, USA)
Allan Halpern M.D. (Memorial Sloan Kettering Cancer Center, New York, USA)
Philipp Tschandl M.D. Ph.D. (Medical University of Vienna, Vienna, Austria)

Steering Committee
Rogerio Feris Ph.D. (IBM Research, New York, USA)
Anthony Hoogs Ph.D. (Kitware, New York, USA)
John R. Smith Ph.D. (IBM Research, New York, USA)
Harald Kittler M.D. (Medical University of Vienna, Vienna, Austria)

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