Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks is a scholarly article[1].
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Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks. Retrieved October 18, 2026, from https://4ort.xyz/entity/motion-artifact-recognition-and-quantification-in-coronary-ct-angiography-using-convolutional-neural-networks
MLA“Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/motion-artifact-recognition-and-quantification-in-coronary-ct-angiography-using-convolutional-neural-networks.
BibTeX@misc{4ortxyz_motion-artifact-recognition-and-quantification-in-coronary-ct-angiography-using-convolutional-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/motion-artifact-recognition-and-quantification-in-coronary-ct-angiography-using-convolutional-neural-networks}, note = {Accessed: 2026-10-18}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks — https://4ort.xyz/entity/motion-artifact-recognition-and-quantification-in-coronary-ct-angiography-using-convolutional-neural-networks (retrieved 2026-10-18)
