Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-10470-6_39
Reference8 articles.
1. Gousias, I.S., Edwards, A.D., Rutherford, M.A., et al.: Magnetic Resonance Imaging of the Newborn Brain: Manual Segmentation of Labelled Atlases in Term-Born and Preterm Infants. NeuroImage 62(3), 1499–1509 (2012)
2. Jorge Cardoso, M., Leung, K., Modat, M., et al.: Steps: Similarity and Truth Estimation for Propagated Segmentations and Its Application to Hippocampal Segmentation and Brain Parcelation. Medical Image Analysis 17(6), 671–684 (2013)
3. Hinton, G.E., Salakhutdinov, R.R.: Reducing the Dimensionality of Data with Neural Networks. Science 313(5786), 504–507 (2006)
4. Dietrich, R., Bradley, W., Zaragoza, E.T., et al.: MR Evaluation of Early Myelination Patterns in Normal and Developmentally Delayed Infants. American Journal of Roentgenology 150(4), 889–896 (1988)
5. Liao, S., Gao, Y., Lian, J., et al.: Sparse Patch-Based Label Propagation for Accurate Prostate Localization in CT Images. IEEE Transactions on Medical Imaging 32(2), 419–434 (2013)
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