[visionlist] Call for Challenge Participants

Moi Hoon Yap M.Yap at mmu.ac.uk
Mon Apr 26 10:48:12 -04 2021

Diabetic Foot Ulcer Challenge 2021: Analysis Towards Classification of Infection & Ischaemia of Diabetic Foot Ulcers
In conjunction with MICCAI 2021, Sep 27 – Oct 1, 2021

Website: https://dfu-challenge.github.io
Contact: M.Yap at mmu.ac.uk<mailto:M.Yap at mmu.ac.uk>
Grand Challenge website: will be made available on the 21st June 2021

Important Dates:

  *   Training dataset release: 27th April 2021
  *   Validation images release: 21st June 2021
  *   Test images release: 1st July 2021
  *   Submission deadline: 15th July 2021
  *   Winner and invitation speakers: 15th August 2021

Moi Hoon Yap (Manchester Metropolitan University, UK)
Neil Reeves (Manchester Metropolitan University, UK)
Andrew Boulton (University of Manchester and Manchester Royal Infirmary, UK)
Satyan Rajbhandari (Lancashire Teaching Hospitals, UK)
David Armstrong (University of Southern California, USA)
Arun G. Maiya (Manipal College of Health Professions, India)
Bijan Najafi (Baylor College of Medicine, USA)
Eibe Frank (University of Waikato, New Zealand)
Justina Wu (Waikato District Health Board, New Zealand)

Technical Chairs:
Bill Cassidy (Manchester Metropolitan University, UK)
David Gillespie

Clinical Chairs:
Pappachan Joseph (Lancashire Teaching Hospitals, UK)
Claire O’Shea (Waikato District Health Board, New Zealand)

Many thanks

Best regards
Moi Hoon

Dr. Moi Hoon Yap
Reader in Computer Vision
Lead, Human-Centred Computing
Manchester Metropolitan University | John Dalton Building (E129) | Chester Street | Manchester | M1 5GD
Telephone: (+44) 0161 247 1503 | Facsimile: (+44) 0161 247 6840
Website: http://www2.docm.mmu.ac.uk/STAFF/M.Yap/
ORCID: https://orcid.org/0000-0001-7681-4287

We welcome your participation:
ACII 2021 Special Session: https://www.acii-conf.net/2021/special-session2/
DFUC2021 Challenge: https://dfu-challenge.github.io
Facial Micro-Expressions Challenge 2021 (MEGC2021): https://megc2021.github.io

Our research are reproducible, datasets and software are available at:

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