Difference between revisions of "ISMORE"
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<u>S</u>ynthetic <u>M</u>ulti-<u>O</u>rientation <u>R</u>esolution <u>E</u>nhancement (SMORE) and its iterative variant (iSMORE) are single image super-resolution techniques. Some of the associated publication are: | <u>S</u>ynthetic <u>M</u>ulti-<u>O</u>rientation <u>R</u>esolution <u>E</u>nhancement (SMORE) and its iterative variant (iSMORE) are single image super-resolution techniques. Some of the associated publication are: | ||
| + | {{iacl-pub|author=C. Zhao, B.E. Dewey, D.L. Pham, P.A. Calabresi, D.S. Reich, and J.L. Prince|title=SMORE: A Self-supervised Anti-aliasing and Super-resolution Algorithm for MRI Using Deep Learning|jnrl=tmi|number=''IN PRESS''|when=2021|doi=10.1109/TMI.2020.3037187}} | ||
{{iacl-pub|author=C. Zhao, M. Shao, A. Carass, H. Li, B.E. Dewey, L.M. Ellingsen, J. Woo, M.A. Guttman, A.M. Blitz, M. Stone, P.A. Calabresi, H. Halperin, and J.L. Prince|title=Applications of a deep learning method for anti-aliasing and super-resolution in MRI|jrnl=mrm|number=64:132-141|when=2019|doi=10.1016/j.mri.2019.05.038|pubmed=31247254}} | {{iacl-pub|author=C. Zhao, M. Shao, A. Carass, H. Li, B.E. Dewey, L.M. Ellingsen, J. Woo, M.A. Guttman, A.M. Blitz, M. Stone, P.A. Calabresi, H. Halperin, and J.L. Prince|title=Applications of a deep learning method for anti-aliasing and super-resolution in MRI|jrnl=mrm|number=64:132-141|when=2019|doi=10.1016/j.mri.2019.05.038|pubmed=31247254}} | ||
| − | {{iacl-pub|author=C. Zhao, S. Son, Y. Kim, and J.L. Prince|title=iSMORE: An Iterative Self Super-Resolution Algorithm|when=Simulation and Synthesis in Medical Imaging (SASHIMI 2019) held in conjunction with the {{iacl-pub miccai2019}}|number=130-139|period=|doi=10.1007/978-3-030-32778-1_14}} | + | {{iacl-pub|author=C. Zhao, S. Son, Y. Kim, and J.L. Prince|title=iSMORE: An Iterative Self Super-Resolution Algorithm|when=Simulation and Synthesis in Medical Imaging (SASHIMI 2019) held in conjunction with the {{iacl-pub miccai2019}}|number=pp. 130-139|period=|doi=10.1007/978-3-030-32778-1_14}} |
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| + | {|align="center" style="width:75%; border:2px #e99095 solid; background:#ffffff; text-align:left;" | ||
| + | |- | ||
| + | | colspan="2" align="center" | '''iSMORE''' | ||
| + | |- | ||
| + | | {{iacl|~aaron/iSMORE/ismore-2019-2020_Jan_18.simg|Singularity image}} | ||
| + | | 1.6GB | ||
| + | |- | ||
| + | | {{iacl|~aaron/iSMORE/run_singularity_iSMORE.sh|Shell script}} | ||
| + | | 2KB | ||
| + | |- | ||
| + | | {{iacl|~aaron/iSMORE/gpl-3.0.txt|License (GPL v3.0)}} | ||
| + | | 35k | ||
| + | |- | ||
| + | |} | ||
| + | |||
| + | Specifying a single iteration within the shell script is equivalent to run SMORE. If you use the code in anyway please cite some of our papers. | ||
Revision as of 03:54, 19 January 2021
<meta name="title" content="SMORE & iSMORE: Single Image Super-Resolution"/>
Synthetic Multi-Orientation Resolution Enhancement (SMORE)
Synthetic Multi-Orientation Resolution Enhancement (SMORE) and its iterative variant (iSMORE) are single image super-resolution techniques. Some of the associated publication are:
- C. Zhao, B.E. Dewey, D.L. Pham, P.A. Calabresi, D.S. Reich, and J.L. Prince, "SMORE: A Self-supervised Anti-aliasing and Super-resolution Algorithm for MRI Using Deep Learning", IN PRESS, 2021. (doi)
- C. Zhao, M. Shao, A. Carass, H. Li, B.E. Dewey, L.M. Ellingsen, J. Woo, M.A. Guttman, A.M. Blitz, M. Stone, P.A. Calabresi, H. Halperin, and J.L. Prince, "Applications of a deep learning method for anti-aliasing and super-resolution in MRI", Magnetic Resonance in Medicine, 64:132-141, 2019. (doi) (PubMed)
- C. Zhao, S. Son, Y. Kim, and J.L. Prince, "iSMORE: An Iterative Self Super-Resolution Algorithm", pp. 130-139, Simulation and Synthesis in Medical Imaging (SASHIMI 2019) held in conjunction with the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), Shenzhen, China, October 13 - 17, 2019. (doi)
| iSMORE | |
| Singularity image | 1.6GB |
| Shell script | 2KB |
| License (GPL v3.0) | 35k |
Specifying a single iteration within the shell script is equivalent to run SMORE. If you use the code in anyway please cite some of our papers.
