Machine Learning for Cardiovascular Biomechanics Modeling: Challenges and Beyond.
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| Title: | Machine Learning for Cardiovascular Biomechanics Modeling: Challenges and Beyond. |
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| Authors: | Arzani A; Department of Mechanical Engineering, Northern Arizona University, Flagstaff, AZ, 86011, USA. amir.arzani@nau.edu., Wang JX; Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN, USA., Sacks MS; James T. Willerson Center for Cardiovascular Modeling and Simulation, Oden Institute for Computational Engineering and Sciences, Austin, TX, USA.; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA., Shadden SC; Department of Mechanical Engineering, University of California Berkeley, Berkeley, CA, USA. |
| Source: | Annals of biomedical engineering [Ann Biomed Eng] 2022 Jun; Vol. 50 (6), pp. 615-627. Date of Electronic Publication: 2022 Apr 20. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Springer Science + Business Media Country of Publication: United States NLM ID: 0361512 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-9686 (Electronic) Linking ISSN: 00906964 NLM ISO Abbreviation: Ann Biomed Eng Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1573-9686 |
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| DOI: | 10.1007/s10439-022-02967-4 |
