Nuit Blanche: The Great Convergence goes mainstream: CfP, "Machine Learning for Image Reconstruction" in IEEE Trans. on Medical Imaging.

Monday, March 06, 2017

The Great Convergence goes mainstream: CfP, "Machine Learning for Image Reconstruction" in IEEE Trans. on Medical Imaging.

Jong just sent me the following:

Hi Igor,

I hope this email finds you well.

I would like to draw your attention to an upcoming special issue "Machine Learning for Image Reconstruction" in IEEE Trans. on Medical Imaging.
Recently, deep learning techniques are actively used for image reconstruction and other inverse problems with encouraging results. This special edition is devoted to this "great convergence". Moreover, one of the unique aspects of this special issue is that the authors are supposed to make the data set and code publicaly available at least two years to accelerate progress and cooperation in this area.

I believe this is of interest to Nuit-Blanche readers. Would you mind posting this ? The detailed information can be found from the following link:

https://ieee-tmi.org/pdfs/TMI-Special-Issue-Machine-Learning-for-Image-Reconstruction.pdf

The time schedule of this issue is as follows:

Submission of manuscripts: Aug. 1, 2017

Acceptance/rejection notification: Oct. 1, 2017

Revised manuscripts due: Dec. 1, 2017

Final acceptance: Feb. 1, 2018

Publication: March 1, 2018 (Tentatively)

Best,
-Jong

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Jong Chul Ye, Ph.D
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KAIST Endowed Chair Professor
Professor of Dept. of Bio and Brain Engineering
Korea Advanced Inst. of Science & Technology (KAIST)
291 Daehak-ro, Yuseong-gu, Daejeon 34141
Republic of Korea
Email: jong.ye@kaist.ac.krHomepage: http://bispl.weebly.com/==========================================================