A Tool for Rapid Analysis Using Image Processing and Artificial Intelligence: Automated Interoperable Characterization Data of Metal Powder for Additive Manufacturing with SEM Case

Non-contact surface roughness evaluation of milling surface using CNN-deep learning models

(2022) Binayak Bhandari et al.   INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING

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

(2021) Ryan Cohn et al.   JOM

Powder Reuse Cycles in Electron Beam Powder Bed Fusion—Variation of Powder Characteristics

(2021) Gitanjali Shanbhag et al.   Materials

Intelligent classification for three-dimensional metal powder particles

(2021) Xin Zhou et al.   POWDER TECHNOLOGY

Accurate Instance Segmentation for Remote Sensing Images via Adaptive and Dynamic Feature Learning

(2021) Feng Yang et al.   Remote Sensing

Comparative Study of Popular Deep Learning Models for Machining Roughness Classification Using Sound and Force Signals

(2021) Binayak Bhandari   Micromachines

Region-Based Convolutional Networks for Accurate Object Detection and Segmentation

(2016) Ross Girshick et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Computer Vision and Machine Learning for Autonomous Characterization of AM Powder Feedstocks

(2016) Brian L. DeCost et al.   JOM

Characterization of Metal Powders Used for Additive Manufacturing

(2014) J. A. Slotwinski et al.   JOURNAL OF RESEARCH OF THE NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY

NIH Image to ImageJ: 25 years of image analysis

(2012) Caroline A Schneider et al.   NATURE METHODS