Deep learning-based prediction of intra-cardiac blood flow in long-axis cine magnetic resonance imaging.
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| Title: | Deep learning-based prediction of intra-cardiac blood flow in long-axis cine magnetic resonance imaging. |
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| Authors: | Sun X; Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands., Cheng LH; Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands., Plein S; Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK., Garg P; Norwich Medical School, University of East Anglia, Norwich, UK.; Norfolk and Norwich University Hospital Foundation Trust, Norwich, UK., Moghari MH; Department of Radiology, Children's Hospital Colorado, and School of Medicine, The University of Colorado, Boulder, CO, USA., van der Geest RJ; Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands. R.J.van_der_Geest@lumc.nl. |
| Source: | The international journal of cardiovascular imaging [Int J Cardiovasc Imaging] 2023 May; Vol. 39 (5), pp. 1045-1053. Date of Electronic Publication: 2023 Feb 10. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 100969716 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1875-8312 (Electronic) Linking ISSN: 15695794 NLM ISO Abbreviation: Int J Cardiovasc Imaging Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1875-8312 |
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| DOI: | 10.1007/s10554-023-02804-2 |
