[HTML][HTML] A deep learned nanowire segmentation model using synthetic data augmentation

B Lin, N Emami, DA Santos, Y Luo… - npj Computational …, 2022 - nature.com
Automated particle segmentation and feature analysis of experimental image data are
indispensable for data-driven material science. Deep learning-based image segmentation …

A deep learned nanowire segmentation model using synthetic data augmentation

B Lin, N Emami, DA Santos, Y Luo… - npj Computational … - tuprints.ulb.tu-darmstadt.de
Automated particle segmentation and feature analysis of experimental image data are
indispensable for data-driven material science. Deep learning-based image segmentation …

A deep learned nanowire segmentation model using synthetic data augmentation

B Lin, N Emami, DA Santos, Y Luo, S Banerjee, BX Xu - inspirehep.net
Automatized object identification and feature analysis of experimental image data are
indispensable for data-driven material science; deep-learning-based segmentation …

A deep learned nanowire segmentation model using synthetic data augmentation

B Lin, E Nima, DA Santos, L Yuting… - NPJ Computational …, 2022 - search.proquest.com
Automated particle segmentation and feature analysis of experimental image data are
indispensable for data-driven material science. Deep learning-based image segmentation …

A deep learned nanowire segmentation model using synthetic data augmentation.

B Lin, N Emami, DA Santos, Y Luo… - NPJ Computational …, 2022 - search.ebscohost.com
Automated particle segmentation and feature analysis of experimental image data are
indispensable for data-driven material science. Deep learning-based image segmentation …

A deep learned nanowire segmentation model using synthetic data augmentation

B Lin, N Emami, DA Santos, Y Luo… - npj Computational …, 2022 - par.nsf.gov
Automated particle segmentation and feature analysis of experimental image data are
indispensable for data-driven material science. Deep learning-based image segmentation …

A deep learned nanowire segmentation model using synthetic data augmentation

B Lin, N Emami, DA Santos, Y Luo, S Banerjee… - arXiv preprint arXiv …, 2021 - arxiv.org
Automatized object identification and feature analysis of experimental image data are
indispensable for data-driven material science; deep-learning-based segmentation …

[PDF][PDF] A deep learned nanowire segmentation model using synthetic data augmentation

B Lin, N Emami, DA Santos, Y Luo, S Banerjee, BX Xu - scholar.archive.org
Understanding the design rules that dictate materials chemistry is critical to enabling the
rational design of energy storage systems. Moreover, connecting single-entity and ensemble …

A deep learned nanowire segmentation model using synthetic data augmentation

B Lin, N Emami, DA Santos, Y Luo… - npj Computational …, 2022 - ui.adsabs.harvard.edu
Automated particle segmentation and feature analysis of experimental image data are
indispensable for data-driven material science. Deep learning-based image segmentation …

[PDF][PDF] A deep learned nanowire segmentation model using synthetic data augmentation

B Lin, N Emami, BX Xu, DA Santos, Y Luo, S Banerjee - researchgate.net
Automatized object identification and feature analysis of experimental image data are
indispensable for data-driven material science; deep learning-based segmentation …