Deep Attention Assisted Multi-resolution Networks for the Segmentation of White Matter Hyperintensities in Postmortem MRI Scans-Reference-Cited by-同舟云学术

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Deep Attention Assisted Multi-resolution Networks for the Segmentation of White Matter Hyperintensities in Postmortem MRI Scans

Published:2023 Issue: Volume: Page:143-152
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Benet Nirmala Anoop,Rashid Tanweer,Fadaee Elyas,Honnorat Nicolas,Li Karl,Charisis Sokratis,Wang Di,Vemula Aishwarya,Li Jinqi,Fox Peter,Richardson Timothy E.,Walker Jamie M.,Bieniek Kevin,Seshadri Sudha,Habes Mohamad

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-44858-4_14

Reference32 articles.

1. Anbeek, P., Vincken, K.L., Van Osch, M.J.P., Bisschops, R.H.C., Van Det Grond, J.: Probabilistic segmentation of white matter lesions in MR imaging. NeuroImage 21(3), 1037–1044 (2004)

2. Anonymous: in revision

3. Avants, B., Tustison, N., Wu, J., Cook, P., Gee, J.: An open source multivariate framework for n-tissue segmentation with evaluation on public data. Neuroinformatics 9(4), 381–400 (2011)

4. Benson, R.R., et al.: Older people with impaired mobility have specific loci of periventricular abnormality on MRI. Neurology 58(1), 48–55 (2002)

5. Lecture Notes in Computer Science;L-C Chen,2018

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