Journal article

MRI white matter lesion segmentation using an ensemble of neural networks and overcomplete patch-based voting

Jose V Manjon, Pierrick Coupe, Parnesh Raniga, Ying Xia, Patricia Desmond, Jurgen Fripp, Olivier Salvado

Computerized Medical Imaging and Graphics | PERGAMON-ELSEVIER SCIENCE LTD | Published : 2018

University of Melbourne Researchers

Grants

Awarded by Spanish "Programa de apoyo a la investigacion y desarrollo" of the Universidad Politecnica de Valencia


Awarded by Ministerio de Economia y competitividad


Awarded by French State by the French National Research Ageny


Awarded by Cluster of excellence CPU and TRAIL


Funding Acknowledgements

This research has been done thanks to the Australian distinguished visiting professor grant from the CSIRO (Commonwealth Scientific and Industrial Research Organisation) and the Spanish "Programa de apoyo a la investigacion y desarrollo (PAID-00-15)" of the Universidad Politecnica de Valencia. This research was partially supported by the Spanish grant TIN2013-43457-R from the Ministerio de Economia y competitividad. This study has been carried out also with support from the French State, managed by the French National Research Ageny in the frame of the Investments for the future Program IdEx Bordeaux (ANR-10-IDEX-03-02, HL-MRI Project), Cluster of excellence CPU and TRAIL (HR-DTI ANR-10-LABX-57) and the CNRS multidisciplinary project Defi imag'In. Some of the data used in this work was collected by the AIBL study group. Funding for the AIBL study is provided by the CSIRO Flagship Collaboration Fund and the Science and Industry Endowment Fund (SIEF) in partnership with Edith Cowan University (ECU), Mental Health Research Institute (MHRI), Alzheimer's Australia (AA), National Ageing Research Institute (NARI), Austin Health, Macquarie University, CogState Ltd, Hollywood Private Hospital, and Sir Charles Gairdner Hospital.