Recent work
3D ConvNet classifier for Alzheimer is now published.
H. Choi and K. H. Jin, "Predicting cognitive decline with deep learning of brain metabolism and amyloid imaging,"  Behavioural Brain Research, vol 344, (2018), pp 103-109
This work was also featured by MIT technology review (Apr. 28.2017) link

A Review article for inverse problem with CNN is now appeared.
M. T. McCann, K. H. Jin, and M. Unser. "Convolutional Neural Networks for Inverse Problems in Imaging: A Review." IEEE Signal Processing Magazine 34.6 (2017): 85-95.

K. H. Jin, and J. C. Ye. "Sparse and Low Rank Decomposition of a Hankel Structured Matrix for Impulse Noise Removal,"  IEEE Trans. on Image Processingvol. 27, no. 3, pp. 1448-1461, March 2018.
Code (matlab) is open [github]

K. H. Jin, M.T. McCann, E. Froustey, M. Unser , "Deep Convolutional Neural Network for Inverse Problems in Imaging," IEEE Transactions on Image Processing, 26.9 (2017): 4509-4522. 
[The most frequently accessed document in IEEE TIP 2017.10~12, 2018.01]
Code (matlab, tensorflow) is open [github]

K. H. Jin, D. Lee, and J. C. Ye, "A general framework for compressed sensing and parallel MRI using annihilating filter based low-rank Hankel matrix," IEEE Transactions on Computational Imaging, vol. 2, no. 4, pp. 480-495, Dec. 2016.


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