Research graph
References from Sustainable hemocompatibility prediction of electrospun nanomaterials using SEM-driven CNN ensemble learning aligned with ISO 10993. Local targets link to admitted publications; unresolved targets remain external evidence.
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External reference
Electrospun nanofibers for regenerative medicine
10.1002/adhm.201100021 · 2012 · External reference
A critical review of fibrous polyurethane-based vascular tissue engineering scaffolds
10.1186/s13036-022-00286-9 · 2022 · External reference
Electrospun polyurethane nanofibrous composite impregnated with metallic copper for wound-healing application
10.1007/s13205-018-1356-2 · 2018 · External reference
Engineering electrospun multicomponent polyurethane scaffolding platform comprising grapeseed oil and honey/propolis for bone tissue regeneration
2018 · External reference
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2017 · External reference
Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics and transfer learning
10.1109/tmi.2016.2528162 · 2016 · External reference
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2015 · External reference
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2014 · External reference
A review on polymer nanofibers by electrospinning and their applications in nanocomposites
10.1016/s0266-3538(03)00178-7 · 2003 · External reference
Surface modification strategies for improved hemocompatibility of polymeric materials: A comprehensive review
10.1039/d3ra08738g · 2024 · External reference
Recent progress of electrospun herbal medicine nanofibres
10.3390/biom13010184 · 2023 · External reference
Physico-chemical and mechanical properties of novel electrospun polyurethane composite with enhanced blood compatibility
10.1108/prt-07-2020-0072 · 2021 · External reference
Biocompatibility assessment of biomaterials used in orthopedic devices: An overview (Review)
10.3892/etm.2021.10750 · 2021 · External reference
Developing standards and test protocols for testing the hemocompatibility of biomaterials
10.1016/b978-0-08-100497-5.00004-5 · 2018 · External reference
Novel transfer learning approach for medical imaging with limited labeled data
10.3390/cancers13071590 · 2021 · External reference
Research of U-Net-Based CNN architectures for metal surface defect detection
10.3390/machines10050327 · 2022 · External reference
Classification of scanning electron microscope images of pharmaceutical excipients using deep convolutional neural networks with transfer learning
2022 · External reference
Ensemble learning: A survey
10.1002/widm.1249 · 2018 · External reference
Artificial intelligence aided design of tissue engineering scaffolds employing virtual tomography and 3D convolutional neural networks
10.3390/ma14185278 · 2021 · External reference
Convolutional neural networks for medical image analysis: Full training or fine tuning?
10.1109/tmi.2016.2535302 · 2016 · External reference
Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images
10.7717/peerj-cs.1031 · 2022 · External reference
Ensemble Learning
10.1007/978-981-15-1967-3_8 · 2021 · External reference
10.1145/2939672.2939778
10.1145/2939672.2939778 · External reference
Machine learning in biomaterials, biomechanics/mechanobiology, and biofabrication: State of the art and perspective
2024 · External reference
Explainable Artificial Intelligence for Breast Tumour Classification: Helpful or Harmful.
2022 · External reference
Explainable artificial intelligence for spectroscopy data: A review
10.1007/s00424-024-02997-y · 2025 · External reference
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2017 · External reference
Albumentations: Fast and flexible image augmentations
10.3390/info11020125 · 2020 · External reference
A generalist medical language model for disease diagnosis assistance
10.1038/s41591-024-03416-6 · 2025 · External reference
Scope of validity of PSNR in image/video quality assessment
10.1049/el:20080522 · 2008 · External reference
Explainable artificial intelligence for medical imaging systems using deep learning: a comprehensive review
10.1007/s10586-025-05281-5 · 2025 · External reference
The effectiveness of data augmentation in porous substrate, nanowire, fiber and tip images at the level of deep learning intelligence
2021 · External reference
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
10.1016/j.inffus.2019.12.012 · 2020 · External reference
Recent advances in electrospun nanofibers for wound healing
10.2217/nnm-2017-0017 · 2017 · External reference
Product evaluation: Blood compatibility studies
2023 · External reference
Biomimetic electrospun nanofibrous scaffold for tissue engineering: Preparation, optimization by design of experiments (DOE), in-vitro and in-vivo characterization
10.3389/fbioe.2023.1288539 · 2023 · External reference
Hemocompatibility evaluation of biomaterials-The crucial impact of analyzed area
10.1021/acsbiomaterials.0c01589 · 2021 · External reference
Machine learning applications for electrospun nanofibres: A review
10.1007/s10853-024-09994-7 · 2024 · External reference
