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Unsupervised Learning for Robust Respiratory Signal Estimation from X-Ray Fluoroscopy
Respiratory signals are required for image gating and motion compensation in minimally invasive interventions. In X-ray fluoroscopy, extraction of a respiratory signal can be challenging due to characteristics of interventional imaging, in particular injection of contrast agent and automatic exposur...
Tallennettuna:
| Julkaisussa: | IEEE Trans Med Imaging |
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| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2016
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5489115/ https://ncbi.nlm.nih.gov/pubmed/27654320 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2016.2609888 |
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