@inproceedings{641498e03e7142f59bd574e1a5119924,
title = "DOTE: Dual convolutional filter learning for super-resolution and cross-modality synthesis in MRI",
abstract = "Cross-modal image synthesis is a topical problem in medical image computing. Existing methods for image synthesis are either tailored to a specific application, require large scale training sets, or are based on partitioning images into overlapping patches. In this paper, we propose a novel Dual cOnvolutional filTer lEarning (DOTE) approach to overcome the drawbacks of these approaches. We construct a closed loop joint filter learning strategy that generates informative feedback for model self-optimization. Our method can leverage data more efficiently thus reducing the size of the required training set. We extensively evaluate DOTE in two challenging tasks: image super-resolution and cross-modality synthesis. The experimental results demonstrate superior performance of our method over other state-of-the-art methods.",
keywords = "3D, Convolutional sparse coding, Dual learning, Image synthesis, MRI, Multi-modal",
author = "Yawen Huang and Ling Shao and Frangi, {Alejandro F}",
note = "Funding Information: Acknowledgments. This work has been partially supported by the European Commission FP7 project VPH-DARE@IT (FP7-ICT-2011-9-601055). Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017 ; Conference date: 11-09-2017 Through 13-09-2017",
year = "2017",
doi = "10.1007/978-3-319-66179-7_11",
language = "English",
isbn = "9783319661780",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag Italia",
pages = "89--98",
editor = "Lena Maier-Hein and Alfred Franz and Pierre Jannin and Simon Duchesne and Maxime Descoteaux and Collins, {D. Louis}",
booktitle = "Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings",
address = "Italy",
}