VALDO Challenge 2021 Training dataset This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA. This dataset corresponds to the training data of the VALDO Challenge 2021 - For more information about the challenge and to participate, please see website In order to register a team, remember to fill in the registration form The challenge is separated in 3 tasks Task 1 - Perivascular spaces segmentation Task 2 - Cerebral micro bleeds segmentation Task 3 - Lacunes segmentation Details of the contents and organisation of the data is described in the README.md file Data reference and acknowledgement When using this data, we kindly ask for the following funding sources to be acknowledged: Wellcome Trust (082464/Z/07/Z), British Heart Foundation (SP/07/001/23603, PG/08/103, PG/12/29/29497 and CS/13/1/30327), Erasmus MC University Medical Center, the Erasmus University Rotterdam, the Netherlands Organization for Scientific Research (NWO) Grant 918-46-615, the Netherlands Organization for Health Research and Development (ZonMW), the Research Institute for Disease in the Elderly (RIDE), and the European Union Seventh Framework Programme (FP7/2007–2013) under grant agreement No. 601055, VPHDARE@IT, the Dutch Technology Foundation STW For all publications, please add references noted below in the reference section When using data from Task 2, please add "for the ALFA Study" as corporate author in your publication and indicate the following list of contributors: Müge Akinci, Annabella Beteta, Raffaele Cacciaglia, Alba Cañas, Irene Cumplido, Carme Deulofeu, Ruth Dominguez, Maria Emilio, Carles Falcón, Karine Fauria, Sherezade Fuentes, Juan Domingo Gispert, Oriol Grau-Rivera, José M. González-de-Echávarri, Laura Hernandez, Gema Huesa, Jordi Huguet, Iva Knezevic, Eider M. Arenaza-Urquijo, Eva M Palacios, Paula Marne, Tania Menchón, Marta Milà-Alomà, Carolina Minguillon, José Luis Molinuevo, Grégory Operto, Albina Polo, Gemma Salvadó, Sandra Pradas, Blanca Rodríguez, Aleix Sala-Vila, Gonzalo Sánchez-Benavides, Mahnaz Shekari, Anna Soteras, Marc Suárez-Calvet, Laura Stankeviciute, Marc Vilanova and Natalia Vilor-Tejedor.

{"references": ["Tillin T, Forouhi NG, McKeigue PM, Chaturvedi N. Southall And Brent REvisited: Cohort profile of SABRE, a UK population- based comparison of cardiovascular disease and diabetes in people of European, Indian Asian and African Caribbean origins. Int J Epidemiol 2012 November 1. http://dx.doi.org/10.1093%2Fije%2Fdyq175", "Jones S, Tillin T, Park C, Williams S, Rapala A, Al-Saikhan L, Eastwood SV, Richards M, Hughes AD, Chaturvedi N. Cohort profile update: Southall and Brent revisited (SABRE) study: a UK population-based comparison of cardiovascular disease and diabetes in people of European, South Asian and African Caribbean heritage. International Journal of Epidemiology, 2020 Oct 13https://doi.org/10.1093/ije/dyaa135 Published: 13 October 2020", "Molinuevo et al (2016) https://dx.doi.org/10.1016%2Fj.trci.2016.02.003", "Ikram, M.A., van der Lugt, A., Niessen, W.J., Koudstaal, P. J., Krestin, G. P., Hofman, A., Bos, D., Vernooij, M. W. The Rotterdam Scan Study: design update 2016 and main findings. Eur J Epidemiol 30, 1299\u20131315 (2015). https://doi.org/10.1007/s10654-015-0105-7"]}