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Exploring the effects of transducer models when training convolutional neural networks to eliminate reflection artifacts in experimental photoacoustic images
Research article (Photons Plus Ultrasound: Imaging and Sensing 2018, 2018) · cited 13× · AI/ML
Exploring the effects of transducer models when training convolutional neural networks to eliminate reflection artifacts in experimental photoacoustic images
Summary
Exploring the effects of transducer models when training convolutional neural networks to eliminate reflection artifacts in experimental photoacoustic images is a scholarly article[1].
Key Facts
Exploring the effects of transducer models when training convolutional neural networks to eliminate reflection artifacts in experimental photoacoustic images's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Exploring the effects of transducer models when training convolutional neural networks to eliminate reflection artifacts in experimental photoacoustic images. Retrieved May 24, 2026, from https://4ort.xyz/entity/exploring-the-effects-of-transducer-models-when-training-convolutional-neural-networks-to-eliminate-reflection-artifacts
MLA“Exploring the effects of transducer models when training convolutional neural networks to eliminate reflection artifacts in experimental photoacoustic images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/exploring-the-effects-of-transducer-models-when-training-convolutional-neural-networks-to-eliminate-reflection-artifacts.
BibTeX@misc{4ortxyz_exploring-the-effects-of-transducer-models-when-training-convolutional-neural-networks-to-eliminate-reflection-artifacts_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Exploring the effects of transducer models when training convolutional neural networks to eliminate reflection artifacts in experimental photoacoustic images}}, year = {2026}, url = {https://4ort.xyz/entity/exploring-the-effects-of-transducer-models-when-training-convolutional-neural-networks-to-eliminate-reflection-artifacts}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Exploring the effects of transducer models when training convolutional neural networks to eliminate reflection artifacts in experimental photoacoustic images — https://4ort.xyz/entity/exploring-the-effects-of-transducer-models-when-training-convolutional-neural-networks-to-eliminate-reflection-artifacts (retrieved 2026-05-24)
