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Compensating for visibility artefacts in photoacoustic imaging with a deep learning approach providing prediction uncertainties
Research article (Photoacoustics, 2020) · cited 44× · AI/ML
Compensating for visibility artefacts in photoacoustic imaging with a deep learning approach providing prediction uncertainties
Summary
Compensating for visibility artefacts in photoacoustic imaging with a deep learning approach providing prediction uncertainties is a scholarly article[1].
Key Facts
Compensating for visibility artefacts in photoacoustic imaging with a deep learning approach providing prediction uncertainties's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Compensating for visibility artefacts in photoacoustic imaging with a deep learning approach providing prediction uncertainties. Retrieved May 24, 2026, from https://4ort.xyz/entity/compensating-for-visibility-artefacts-in-photoacoustic-imaging-with-a-deep-learning-approach-providing-prediction-uncert
MLA“Compensating for visibility artefacts in photoacoustic imaging with a deep learning approach providing prediction uncertainties.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/compensating-for-visibility-artefacts-in-photoacoustic-imaging-with-a-deep-learning-approach-providing-prediction-uncert.
BibTeX@misc{4ortxyz_compensating-for-visibility-artefacts-in-photoacoustic-imaging-with-a-deep-learning-approach-providing-prediction-uncert_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Compensating for visibility artefacts in photoacoustic imaging with a deep learning approach providing prediction uncertainties}}, year = {2026}, url = {https://4ort.xyz/entity/compensating-for-visibility-artefacts-in-photoacoustic-imaging-with-a-deep-learning-approach-providing-prediction-uncert}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Compensating for visibility artefacts in photoacoustic imaging with a deep learning approach providing prediction uncertainties — https://4ort.xyz/entity/compensating-for-visibility-artefacts-in-photoacoustic-imaging-with-a-deep-learning-approach-providing-prediction-uncert (retrieved 2026-05-24)
