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 + Low Rank Decomposition of Annihilating Filter-based Hankel Matrix for Impulse Noise Removal,"  IEEE Trans. on Image Processing. accepted.

K. H. Jin, M.T. McCann, E. Froustey, and M. Unser , "Deep Convolutional Neural Network for Inverse Problems in Imaging,"  IEEE Trans. on Image Processing 26.9 (2017): 4509-4522. [code (matlab)]

J. C. Ye, J. M. Kim, K. H. Jin, and K. Lee, "Compressive Sampling using Annihilating Filter-based Low-Rank Interpolation,'' IEEE Trans. on Information Theoryvol. 63, no. 2, pp. 777-801, Feb. 2017.

H. Choi and K. H. Jin, "Fast and robust segmentation of the striatum using deep convolutional neural networks," Journal of Neuroscience Methods Volume 274, Pages 146-153, 1 December 2016, †co-first author

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. [source code (matlab)]

K. H. Jin, J. Um, D. Lee, J. Lee, S. Park and J. C. Ye, "MRI artifact correction using sparse + low-rank decomposition of annihilating filter-based Hankel matrix," Magnetic Resonance in Medicine, 2016. [source code -GPU (matlab)]

J. Lee, K. H. Jin, and J. C. Ye, "Reference-free single-pass EPI Nyquist ghost correction using annihilating filter-based low rank Hankel structured matrix (ALOHA)", Magnetic Resonance in Medicine, 2015, †co-first author  [source code -GPU (matlab)]

D. Lee, K. H. Jin, E. Y. Kim, S. Park and J. C. Ye, "Acceleration of MR parameter mapping using annihilating filter-based low rank Hankel matrix (ALOHA)", Magnetic Resonance in Medicine, 2015, †co-first author

J. Lim, K. Lee, K. H. Jin, S. Shin, S. Lee, Y. Park,and J. C. Ye, ”Comparative study of iterative reconstruction algorithms for missing cone problems in optical diffraction tomography,” Optics Express 23, 16933-16948 (2015)

K. H. Jin and J. C. Ye, “Annihilating filter based low rank Hankel matrix approach for image inpainting,” IEEE Trans. on Image Processingvol.24, no.11, pp.3498,3511, Nov. 2015 [source code (matlab)]

D. Yee, K. H. Jin, J. S. Yahng, H. S. Yang, C. Y. Kim, amd J. C. Ye, "High-speed terahertz reflection three-dimensional imaging using beam steering." Optics Express 23.4 (2015): pp. 5027-5034.

K. H. Jin, Y. Kim, S. H. Cho, J. C. Ye, and D. Yee, "High-speed terahertz reflection three-dimensional imaging for nondestructive evaluation," Optics Express , vol. 20, issue 23, pp. 25432-25440, Oct 2012

M. Yi, H. Kim, K. H. Jin, J. C. Ye, and J. Ahn "Terahertz substance imaging by waveform shaping", Optics Express , vol. 20, issue 18, pp. 20783-9, Aug 2012

S. Park, K. H. Jin, M. Yi, J. C. Ye, J. Ahn, and K. Jeong, "​Enhancement of Terahertz Pulse Emission by Optical Nanoantenna," ACS Nano , vol.6 , no.3 , pp.2026-2031 , February 2012

K. Lee, K. H. Jin, J. C. Ye, and J. Ahn, "Coherent optical computing for T-ray imaging," Optics Letters, vol. 35, pp. 508-510, February 2010.

K. H. Jin, Y. C. Kim, D. S. Yee, O. K. Lee, and J. C. Ye, "Compressed sensing pulse-echo mode THz reflectance tomography," Optics Letters, vol. 34, pp. 3863-3865, December 2009.


H. Choi
 and K. H. Jin
Predicting Cognitive Decline with Deep Learning of Brain Metabolism and Amyloid Imaging," arXiv preprint arXiv:1704.06033 (2017)

K. Lee, Y. Li, K. H. Jin, and J. C. Ye, "Unified Theory for Recovery of Sparse Signals in a General Transform Domain," arXiv preprint arXiv:1612.09565 (2016).


Y. Kim, K. H. Jin, J. C. Ye, J. Ahn, D. S. Yee, "​Wavelet Power Spectrum Estimation for High-resolution Terahertz Time-domain Spectroscopy," Journal of the Optical Society of Korea, vol. 15, no.1, pp.103-108, 2011.

K. H. Jin and J. C. Ye, "Recent Trends of Terahertz spectroscopy/imaging, Journal of Korea institute of electromagnetic engineering and science, 21(4), pp.33-42, 2010. (Invited review)