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Ihor Smal
Delft University of Technology
ParticleDeep learningAlgorithmTrajectoryFluoroscopyPercutaneous coronary interventionScaling
2Publications
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Publications 2
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#1Hua Ma (EUR: Erasmus University Rotterdam)H-Index: 4
#2Ihor Smal (TU Delft: Delft University of Technology)
Last. Theo van Walsum (EUR: Erasmus University Rotterdam)H-Index: 31
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Abstract Percutaneous coronary intervention (PCI) is typically performed with image guidance using X-ray angiograms in which coronary arteries are opacified with X-ray opaque contrast agents. Interventional cardiologists typically navigate instruments using non-contrast-enhanced fluoroscopic images, since higher use of contrast agents increases the risk of kidney failure. When using fluoroscopic images, the interventional cardiologist needs to rely on a mental anatomical reconstruction. This pap...
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#1Marloes Arts (TU Delft: Delft University of Technology)
#2Ihor Smal (TU Delft: Delft University of Technology)
Last. Erik MeijeringH-Index: 34
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Quantitative analysis of dynamic processes in living cells using time-lapse microscopy requires not only accurate tracking of every particle in the images, but also reliable extraction of biologically relevant parameters from the resulting trajectories. Whereas many methods exist to perform the tracking task, there is still a lack of robust solutions for subsequent parameter extraction and analysis. Here a novel method is presented to address this need. It uses for the first time a deep learning...
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