Reference health
Layer-Wise Multi-Defect Detection for Laser Powder Bed Fusion Using Deep Learning Algorithm with Visual Explanation
29/29 checkable references clean · checked 2026-07-24
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
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The 29 checked references that resolve
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Additive manufacturing methods and modelling approaches: a critical review
resolves10.1007/s00170-020-05205-0
Detection of powder bed defects in selective laser sintering using convolutional neural network
resolves10.1007/s00170-017-1172-6
Common defects and contributing parameters in powder bed fusion AM process and their classification for online monitoring and control: a review
resolves10.1016/j.matdes.2018.107562
A high-resolution and large field-of-view scanner for in-line characterization of powder bed defects during additive manufacturing
resolves10.1016/j.jmapro.2021.12.061
Machine learning algorithms for defect detection in metal laser-based additive manufacturing: A review
resolves10.1016/j.jmsy.2021.11.003
Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm
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On the application of machine learning for defect detection in L-PBF additive manufacturing
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Hybrid sparse convolutional neural networks for predicting manufacturability of visual defects of laser powder bed fusion processes
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Prediction of microstructural defects in additive manufacturing from powder bed quality using digital image correlation
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Achieving optimal process design for minimizing porosity in additive manufacturing of Inconel 718 using a deep learning-based pore detection approach
resolves10.1007/s10845-020-01710-x
Synthetic data augmentation for surface defect detection and classification using deep learning
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Deep learning for in-situ powder stream fault detection in directed energy deposition process
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A review on modern defect detection models using DCNNs – Deep convolutional neural networks
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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Defect detection of injection molding products on small datasets using transfer learning
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Transfer Learning from Deep Neural Networks for Predicting Student Performance
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An effective defect detection method based on improved Generative Adversarial Networks (iGAN) for machined surfaces
The 38 references without a DOI — listed, not checked
no DOI — not checkedAdditive manufacturing of hybrid metal/polymer objects via multiple-material laser powder bed fusion
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no DOI — not checkedHigh resolution imaging for inspection of Laser Beam Melting systems
no DOI — not checkedImproving Process Stability of Laser Beam Melting Systems
no DOI — not checkedFlaw detection in powder bed fusion using optical imaging
no DOI — not checkedIn-situ areal inspection of powder bed for electron beam fusion system based on fringe projection profilometry
no DOI — not checkedIn situ surface topography of laser powder bed fusion using fringe projection
no DOI — not checkedApplications of machine learning in metal powder-bed fusion in-process monitoring and control: status and challenges
no DOI — not checkedResearch and application of machine learning for additive manufacturing
no DOI — not checkedPrediction of melt pool shape in additive manufacturing based on machine learning methods
no DOI — not checkedOptimization of surface roughness and dimensional accuracy in LPBF additive manufacturing
no DOI — not checkedAnomaly detection and classification in a laser powder bed additive manufacturing process using a trained computer vision algorithm
no DOI — not checkedIn situ quality inspection with layerwise visual images based on deep transfer learning during selective laser melting
no DOI — not checkedAutomated visual detection of geometrical defects in composite manufacturing processes using deep convolutional neural networks
no DOI — not checkedA machine learning method for defect detection and visualization in selective laser sintering based on convolutional neural networks
no DOI — not checkedA multi-scale convolutional neural network for autonomous anomaly detection and classification in a laser powder bed fusion additive manufacturing process
no DOI — not checkedLayer-wise anomaly detection and classification for powder bed additive manufacturing processes: A machineagnostic algorithm for real-time pixel-wise semantic segmentation
no DOI — not checkedA layer-wise multi-defect detection system for powder bed monitoring: Lighting strategy for imaging, adaptive segmentation and classification
no DOI — not checkedDeep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues
no DOI — not checkedBlack-box Explanation of Object Detectors via Saliency Maps
no DOI — not checkedref39
no DOI — not checkedRich feature hierarchies for accurate object detection and semantic segmentation
no DOI — not checkedref42
no DOI — not checkedVery deep convolutional networks for large-scale image recognition
no DOI — not checkedDeep residual learning for image recognition
no DOI — not checkedWeighted feature pyramid networks for object detection
no DOI — not checkedSSD: Single shot multibox detector
no DOI — not checkedYou only look once: Unified, real-time object detection
no DOI — not checkedOptimal Speed and Accuracy of Object Detection
no DOI — not checkedSmall Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods
no DOI — not checkedref55
no DOI — not checkedScalable person reidentification: A benchmark
no DOI — not checkedBounding box regression with uncertainty for accurate object detection
no DOI — not checkedOn the selection and design of powder materials for laser additive manufacturing
no DOI — not checkedRisE: Randomized input sampling for explanation of black-box models
no DOI — not checkedDefect Image Sample Generation with GAN for Improving Defect Recognition
no DOI — not checkedref65
no DOI — not checkedref66
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