TADPOLE Challenge: Accurate Alzheimer’s Disease Prediction Through Crowdsourced Forecasting of Future Data-Reference-Cited by-同舟云学术

TADPOLE Challenge: Accurate Alzheimer’s Disease Prediction Through Crowdsourced Forecasting of Future Data

Published:2019 Issue: Volume: Page:1-10
ISSN:0302-9743
Container-title:Predictive Intelligence in Medicine
language:
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Author:

Marinescu Răzvan V.,Oxtoby Neil P.,Young Alexandra L.,Bron Esther E.,Toga Arthur W.,Weiner Michael W.,Barkhof Frederik,Fox Nick C.,Golland Polina,Klein Stefan,Alexander Daniel C.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-32281-6_1

Reference15 articles.

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2. Scahill, R.I., Schott, J.M., Stevens, J.M., Rossor, M.N., Fox, N.C.: Mapping the evolution of regional atrophy in Alzheimer’s disease: unbiased analysis of fluid-registered serial MRI. Proc. Natl. Acad. Sci. 99(7), 4703–4707 (2002)

3. Yang, E., et al.: Quantifying the pathophysiological timeline of Alzheimer’s disease. J. Alzheimer’s Dis. 26(4), 745–753 (2011)

4. Guerrero, R., et al.: Instantiated mixed effects modeling of Alzheimer’s disease markers. NeuroImage 142, 113–125 (2016)

5. Klöppel, S., et al.: Automatic classification of MR scans in Alzheimer’s disease. Brain 131(3), 681–689 (2008)

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