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


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


website: http://ift.tt/2owf8WJ.


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.



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



– http://ift.tt/2owf8WJ.

– http://stacom2017.

– http://ift.tt/2mO8SNk.


– Nvidia

– TBA.


– 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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