Tong, T–T, Nightingale, M, Scott, MB, et al. A classification approach to improve out of sample predictability of structure-based constitutive models for ascending thoracic aortic tissue. Int J Numer Meth Biomed Engng. 2023; 39(6):e3708. https://doi.org/10.1002/cnm.3708

The captions for Figures 4 and 5 were incorrect. This should have read:

Figure 4 An example of a biomarker-specific averaged material model generation for the Anterior category; each black square point is the average of the blue round points at the same stretch data point.

Figure 5 A summary of the program pipeline developed in this study to screen biomarker's effect on Predictive capability of Structured-based Constitutive Models.

We apologize for this error.

Tong，T-T，南丁格尔，M，斯科特，MB等人。一种提高升主动脉组织基于结构的本构模型的样本外可预测性的分类方法。Int J Numer Meth Biomed Enngng。 2023；39（6）：e3708。https://doi.org/10.1002/cnm.3708

图 4 和图 5 的标题不正确。这应该是：

图 4前牙类别生物标志物特异性平均材料模型生成示例；每个黑色方形点是同一拉伸数据点的蓝色圆形点的平均值。

图 5本研究中开发的程序流程摘要，用于筛选生物标志物对基于结构化本构模型的预测能力的影响。

对于这个错误，我们深表歉意。