Instance Segmentation for Direct Measurements of Satellites in Metal Powders and Automated Microstructural Characterization from Image Data

Optimizing convolutional neural networks to perform semantic segmentation on large materials imaging datasets: X-ray tomography and serial sectioning

(2020) Tiberiu Stan et al.   MATERIALS CHARACTERIZATION

Use of Non-Spherical Hydride-Dehydride (HDH) Powder in Powder Bed Fusion Additive Manufacturing

(2020) Sneha P. Narra et al.   Additive Manufacturing

High Throughput Quantitative Metallography for Complex Microstructures Using Deep Learning: A Case Study in Ultrahigh Carbon Steel

(2019) Brian L. DeCost et al.   MICROSCOPY AND MICROANALYSIS

Large-area, high-resolution characterisation and classification of damage mechanisms in dual-phase steel using deep learning

(2019) Carl Kusche et al.   PLoS One

Object Detection With Deep Learning: A Review

(2019) Zhong-Qiu Zhao et al.   IEEE Transactions on Neural Networks and Learning Systems

Feedstock powder processing research needs for additive manufacturing development

(2018) Iver E. Anderson et al.   CURRENT OPINION IN SOLID STATE & MATERIALS SCIENCE

Insightful classification of crystal structures using deep learning

(2018) Angelo Ziletti et al.   Nature Communications

New methods for automatic quantification of microstructural features using digital image processing

(2018) Andrew Campbell et al.   MATERIALS & DESIGN

Automated defect analysis in electron microscopic images

(2018) Wei Li et al.   npj Computational Materials

Deformation twin identification in magnesium through clustering and computer vision

(2018) Z. Chen et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

A high-resolution and large field-of-view scanner for in-line characterization of powder bed defects during additive manufacturing

(2018) Le Tan Phuc et al.   MATERIALS & DESIGN

Review of the Methods for Production of Spherical Ti and Ti Alloy Powder

(2017) Pei Sun et al.   JOM

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

(2017) Waseem Rawat et al.   NEURAL COMPUTATION

Error analysis of the crystal orientations obtained by the dictionary approach to EBSD indexing

(2017) Farangis Ram et al.   ULTRAMICROSCOPY

Digital image analysis to quantify carbide networks in ultrahigh carbon steels

(2016) Matthew D. Hecht et al.   MATERIALS CHARACTERIZATION

The Application of Powder Rheology in Additive Manufacturing

(2015) Jamie Clayton et al.   JOM

A noise robust method based on completed local binary patterns for hot-rolled steel strip surface defects

(2013) Kechen Song et al.   APPLIED SURFACE SCIENCE