Machine learning to mechanically assess 2D and 3D biomimetic electrospun scaffolds for tissue engineering applications: Between the predictability and the interpretability-Reference-Cited by-同舟云学术

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Machine learning to mechanically assess 2D and 3D biomimetic electrospun scaffolds for tissue engineering applications: Between the predictability and the interpretability

Published:2024-09 Issue: Volume:157 Page:106630
ISSN:1751-6161
Container-title:Journal of the Mechanical Behavior of Biomedical Materials
language:en
Short-container-title:Journal of the Mechanical Behavior of Biomedical Materials

Author:

Roldán Elisa^ORCID,Reeves Neil D.,Cooper Glen^ORCID,Andrews Kirstie

Publisher

Elsevier BV

Reference62 articles.

1. Determination of collagen fibril size via Absolute measurements of second-Harmonic generation Signals;Bancelin;Nat. Commun.,2014

2. Investigation of 2D and 3D electrospun scaffolds Intended for tendon repair;Bosworth;J. Mater. Sci. Mater. Med.,2013

3. Statistical modeling: the two cultures (with comments and a rejoinder by the author);Breiman;Stat. Sci.,2001

4. Comparison of material properties in fascicle-bone Units from human Patellar tendon and knee ligaments;Butler;J. Biomech.,1986

5. Classical statistics and statistical learning in imaging Neuroscience;Bzdok;Front. Neurosci.,2017

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning to predict morphology, topography and mechanical properties of sustainable gelatin-based electrospun scaffolds;Scientific Reports;2024-09-09

2. Tailoring the Morphological Properties of PVA Nanofibrous Mats by Manipulating Working Planes;Journal of Nanotechnology;2024-01

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