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Monitoring Anomalies in 3D Bioprinting with Deep Neural Networks
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Ai Driven Dual-Task Deep Learning Framework for Automated Scaffold Quality Assessment in Extrusion Based 3d Bioprinting
inferred← citeshttps://doi.org/10.3389/fbioe.2022.855042openalex-snapshot
Scalable Biofabrication: A Perspective on the Current State and Future Potentials of Process Automation in 3D-Bioprinting Applications
inferred← citeshttps://doi.org/10.3389/fbioe.2022.913579openalex-snapshot
Bioink Formulation and Machine Learning-Empowered Bioprinting Optimization
inferred← citeshttps://doi.org/10.3389/fbioe.2025.1691972openalex-snapshot
Artificial intelligence-assisted organoid construction in congenital heart disease: current applications and future prospects
inferred← citeshttps://doi.org/10.3389/fceld.2026.1819303openalex-snapshot
Decoding drug resistance and apoptosis in biliary tract cancers using 3D tumor models
inferred← citeshttps://doi.org/10.3389/fcell.2025.1755565openalex-snapshot
AI-driven biomaterial design: an intelligent closed loop from reverse design to biological response
inferred← citeshttps://doi.org/10.3390/gels11120981openalex-snapshot
Artificial Intelligence Informed Hydrogel Biomaterials in Additive Manufacturing
inferred← citeshttps://doi.org/10.3390/jfb13020040openalex-snapshot
Printability and Cell Viability in Extrusion-Based Bioprinting from Experimental, Computational, and Machine Learning Views
inferred← citeshttps://doi.org/10.3390/mi13030363openalex-snapshot
Optimized 3D Bioprinting Technology Based on Machine Learning: A Review of Recent Trends and Advances
inferred← citeshttps://doi.org/10.3390/pharmaceutics17050551openalex-snapshot
Use of Computational Intelligence in Customizing Drug Release from 3D-Printed Products: A Comprehensive Review
inferred← citeshttps://doi.org/10.3390/polym16182680openalex-snapshot
Interpretable Machine Learning-Based Influence Factor Identification for 3D Printing Process–Structure Linkages
inferred← citeshttps://doi.org/10.3390/polym17131873openalex-snapshot
Machine Learning in Predicting and Optimizing Polymer Printability for 3D Bioprinting
inferred← citeshttps://doi.org/10.3390/s24113636openalex-snapshot
Spatially Resolved Defect Characterization and Fidelity Assessment for Complex and Arbitrary Irregular 3D Printing Based on 3D P-OCT and GCode
inferred← citeshttps://doi.org/10.36922/ijb.2021openalex-snapshot
A new solution for in situ monitoring of shape fidelity in extrusion-based bioprinting via thermal imaging
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