Autoencoder-Inspired Convolutional Network-Based Super-Resolution Method in MRI.
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| Title: | Autoencoder-Inspired Convolutional Network-Based Super-Resolution Method in MRI. |
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| Authors: | Park S; Department of BioengineeringUniversity of Illinois at Urbana-Champaign Urbana IL 61820 USA., Gach HM; Department of Radiation OncologyWashington University in St. Louis St. Louis MO 63130 USA., Kim S; Department of Radiation OncologyDivision of Medical PhysicsVirginia Commonwealth University Richmond VA 23284 USA., Lee SJ; TSYS School of Computer ScienceColumbus State University Columbus GA 31907 USA., Motai Y; Department of Electrical and Computer EngineeringVirginia Commonwealth University Richmond VA 23284 USA. |
| Source: | IEEE journal of translational engineering in health and medicine [IEEE J Transl Eng Health Med] 2021 Apr 28; Vol. 9, pp. 1800113. Date of Electronic Publication: 2021 Apr 28 (Print Publication: 2021). |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 101623153 Publication Model: eCollection Cited Medium: Internet ISSN: 2168-2372 (Electronic) Linking ISSN: 21682372 NLM ISO Abbreviation: IEEE J Transl Eng Health Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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