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CPS2131 Philip L.H. Yu et al.
6. Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012). Imagenet
classification with deep convolutional neural networks. In Advances in
Neural Information Processing Systems (pp. 10971105).
7. Long, J., Shelhamer, E., & Darrell, T. (2015). Fully convolutional networks
for semantic segmentation. In Proceedings of the IEEE Conference on
Computer Vision and Pattern Recognition (pp. 3431-3440).
8. Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T.
E., Johansen-Berg, H., ... & Niazy, R. K. (2004). Advances in functional and
structural MR image analysis and implementation as FSL. Neuroimage,
23, S208-S219.
9. Woolrich, M. W., Jbabdi, S., Patenaude, B., Chappell, M., Makni, S.,
Behrens, T., ... & Smith, S. M. (2009). Bayesian analysis of neuroimaging
data in FSL. Neuroimage, 45(1), S173-S186.
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