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In: Neural Information Processing Systems, pp. 116–123. This special issue is a sister issue of the special issue published in May 2016 of this journal with the theme “Deep learning in medical imaging” [item 2) in the Appendix]. In: Proceedings of COMPSTAT, pp. Commun. Deep Learning The deep learning methods of the Deep Convolutional Neural Network (DCNN) are able to process enormous amounts of data through an network of decision making nodes, or neurons, and are well regarded for their excellent performance in image recognition-based applications. https://doi.org/10.1109/TPAMI.2019.2920591, https://doi.org/10.1109/ICASSP.2019.8682178, https://doi.org/10.1007/s40687-018-0172-y, https://doi.org/10.1007/s40305-019-00287-4. Magn. Journal of the Operations Research Society of China, 2020, 8 (2): 311-340. Machine Learning for Medical Image Reconstruction: First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, ... 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