[visionlist] MM-WHS 2017: Multi-Modality Whole Heart Segmentation Challenge in conjunction with STACOM and MICCAI 2017

Guang Yang g.yang at imperial.ac.uk
Tue Mar 28 15:39:52 -04 2017


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MM-WHS 2017: Multi-Modality Whole Heart Segmentation Challenge in
conjunction with STACOM and MICCAI 2017

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website: http://www.sdspeople.fudan.edu.cn/zhuangxiahai/0/mmwhs/index.html

Together with the success of the STACOM workshop (held with MICCAI since
2011), we present the 1st Challenge on Multi-Modality Whole Heart
Segmentation (to be held with MICCAI 2017, in Quebec City, Canada). The
Challenge provides 120 images, including 60 cardiac CT and 60 cardiac MRI,
all acquired in real clinical environment, for various research groups to
test and validate their methods, particularly for multi-modality whole
heart segmentation. The aim of the Workshop will not only be benchmarking
various whole heart segmentation algorithms, but also to cover the topic of
general cardiac image segmentation and registration and modeling. The best
work will be awarded with a prize funded by Nvidia, and the accepted
manuscript will be included into the proceedings published with the STACOM
workshop (Lecture Notes in Computer Science LNCS | Springer). In addition,
the benchmarked algorithms will be summarised to form a full paper for
potential publications in MedIA and IEEE TMI, and the participants will
share the credit.



Topics:

Whole heart segmentation (WHS), including

- Atlas based WHS

- Statistical shape model based WHS

- Deep learning WHS

- Other methods

General cardiac image segmentation

Registration and modeling for cardiac images



Important Dates

- Submission deadline:

  June 12th, 2017

- Notification of acceptance:

  July 3th, 2017

- Camera ready:

  July 17th, 2017

- Workshop Date:

  (TBA) Sep 10 or 14th, 2017, Quebec City, Canada



Website

- http://www.sdspeople.fudan.edu.cn/zhuangxiahai/0/mmwhs/

- http://stacom2017.cardiacatlas.org/

- http://stacom.cardiacatlas.org/



Sponsors

- Nvidia

- TBA.



Organization

- Xiahai Zhuang, School of Data Science, Fudan University, Shanghai China.

- Guang Yang, National Heart and Lung Institute, Imperial College London,
UK.

- Lei Li, School of Biomedical engineering, Shanghai Jiao Tong University,
China.



Advisory and Program Committee

- Elsa Angelini, Telecom ParisTech

- Wenjia Bai, Imperial College London

- John Camm, St George's Hospital

- Alejandro Frangi, University of Sheffield

- David Firmin, Imperial College London

- Polina Golland, Massachusetts Institute of Technology(MIT)

- Alberto Gomez, St Thomas hospital, Kings College London

- Vicente Grau, University of Oxford

- Jennifer Keegan, Imperial College London

- Huafeng Liu, Zhejiang University

- Raad Mohiaddin, Imperial College London

- Alison Noble, Oxford University

- Sebastien Ourselin, University College London

- Dudley Pennell, Royal Brompton Hospital

- Terry Peters, Robarts Research Institute, The University of Western
Ontario

- Tom Wong, Royal Brompton Hospital

- Max A. Viergever, University Medical Center Utrecht

- Jurgen Weese, Philips Research

- Guang-Zhong Yang, Imperial College London

- Songhua Zhan, Shanghai Shuguang Hosptial

- Shaoting Zhang, University of North Carolina at Charlotte

- Guoyan Zheng, University of Bern


-- 
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In a world without fences and walls, why bother 'GATES' and 'WINDOWS'?
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Guang YANG (Ph.D.)
Research Fellow
National Heart and Lung Institute,
Imperial College London.
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Honorary Lecturer
Neurosciences Research Centre,
St George's, University of London.
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Internal 2169
Switchboard +44 (0)20 7352 8121 <+44%2020%207352%208121>
Emails. g.yang at imperial.ac.uk and gyang at sgul.ac.uk
Web. https://www.imperial.ac.uk/people/g.yang
Cell.  +44 (0)79 224 224 99
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