Home ›
Entities
› academia
› Deep learning-based metal artifact reduction using cycle-consistent adversarial network for intensity-modulated head and neck radiation therapy treatment planning
Deep learning-based metal artifact reduction using cycle-consistent adversarial network for intensity-modulated head and neck radiation therapy treatment planning
Research article (Physica Medica, 2020) · cited 35× · AI/ML
Deep learning-based metal artifact reduction using cycle-consistent adversarial network for intensity-modulated head and neck radiation therapy treatment planning
Summary
Deep learning-based metal artifact reduction using cycle-consistent adversarial network for intensity-modulated head and neck radiation therapy treatment planning is a scholarly article[1].
Key Facts
Deep learning-based metal artifact reduction using cycle-consistent adversarial network for intensity-modulated head and neck radiation therapy treatment planning's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Deep learning-based metal artifact reduction using cycle-consistent adversarial network for intensity-modulated head and neck radiation therapy treatment planning. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-based-metal-artifact-reduction-using-cycle-consistent-adversarial-network-for-intensity-modulated-head-and
MLA“Deep learning-based metal artifact reduction using cycle-consistent adversarial network for intensity-modulated head and neck radiation therapy treatment planning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-based-metal-artifact-reduction-using-cycle-consistent-adversarial-network-for-intensity-modulated-head-and.
BibTeX@misc{4ortxyz_deep-learning-based-metal-artifact-reduction-using-cycle-consistent-adversarial-network-for-intensity-modulated-head-and_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning-based metal artifact reduction using cycle-consistent adversarial network for intensity-modulated head and neck radiation therapy treatment planning}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-based-metal-artifact-reduction-using-cycle-consistent-adversarial-network-for-intensity-modulated-head-and}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning-based metal artifact reduction using cycle-consistent adversarial network for intensity-modulated head and neck radiation therapy treatment planning — https://4ort.xyz/entity/deep-learning-based-metal-artifact-reduction-using-cycle-consistent-adversarial-network-for-intensity-modulated-head-and (retrieved 2026-05-24)