| Real-time process monitoring and closed-loop control on laser power via a customized laser powder bed fusion platform R Wang, B Standfield, C Dou, AC Law, ZJ Kong Additive Manufacturing 66, 103449, 2023 | 41 | 2023 |
| Using convolutional neural networks to detect and extract retinal blood vessels in fundoscopic images B Standfield, WB Chen, Y Wang, Y Lu, AF Abdelzaher, X Wang, XG Yang 2019 IEEE Conference on Multimedia Information Processing and Retrieval …, 2019 | 6 | 2019 |
| A fully automated porosity measure for thermal barrier coating images WB Chen, BN Standfield, S Gao, Y Lu, X Wang, B Zimmerman International Journal of Multimedia Data Engineering and Management (IJMDEM …, 2018 | 6 | 2018 |
| An approach to monitoring and guiding manual assembly processes B Standfield, D Gračanin International Conference on Human-Computer Interaction, 165-176, 2021 | 4 | 2021 |
| A 3D Convolutional Neural Networks-Based Model for High-Resolution Prediction and Compensation of Geometrical Errors of Additive Manufactured Parts B Standfield, Z Kong International Manufacturing Science and Engineering Conference 87233 …, 2023 | 1 | 2023 |
| High-resolution shape deformation prediction in additive manufacturing using 3d cnn B Standfield, D Gračanin, R Wang, Z Kong 2022 Winter Simulation Conference (WSC), 641-652, 2022 | 1 | 2022 |
| High-Resolution Additive Manufacturing Error Prediction and Compensation Through 3D CNN Leveraging Semantic Segmentation BN Standfield Virginia Tech, 2025 | | 2025 |
| Real-time control of laser power for laser powder bed fusion W Rongxuan, B Standfield, Z Kong, DOU Chaoran US Patent App. 18/601,199, 2024 | | 2024 |
| A 3D Convolutional Neural Networks Model for High-Resolution Prediction and Compensation of Geometrical Errors of Fused Filament Fabricated Parts B Standfield, R Wang, ZJ Kong IISE Annual Conference and Expo, 2023 | | 2023 |
