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CT-Based Pelvic T1-Weighted MR Image Synthesis Using UNet, UNet++ and Cycle-Consistent Generative Adversarial Network (Cycle-GAN)

Research article (Frontiers in Oncology, 2021) · cited 46× · AI/ML
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CT-Based Pelvic T1-Weighted MR Image Synthesis Using UNet, UNet++ and Cycle-Consistent Generative Adversarial Network (Cycle-GAN)

Summary

CT-Based Pelvic T1-Weighted MR Image Synthesis Using UNet, UNet++ and Cycle-Consistent Generative Adversarial Network (Cycle-GAN) is a scholarly article[1].

Key Facts

  • CT-Based Pelvic T1-Weighted MR Image Synthesis Using UNet, UNet++ and Cycle-Consistent Generative Adversarial Network (Cycle-GAN)'s instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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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.

APA 4ort.xyz Knowledge Graph. (2026). CT-Based Pelvic T1-Weighted MR Image Synthesis Using UNet, UNet++ and Cycle-Consistent Generative Adversarial Network (Cycle-GAN). Retrieved May 24, 2026, from https://4ort.xyz/entity/ct-based-pelvic-t1-weighted-mr-image-synthesis-using-unet-unet-and-cycle-consistent-generative-adversarial-network-cycle
MLA “CT-Based Pelvic T1-Weighted MR Image Synthesis Using UNet, UNet++ and Cycle-Consistent Generative Adversarial Network (Cycle-GAN).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ct-based-pelvic-t1-weighted-mr-image-synthesis-using-unet-unet-and-cycle-consistent-generative-adversarial-network-cycle.
BibTeX @misc{4ortxyz_ct-based-pelvic-t1-weighted-mr-image-synthesis-using-unet-unet-and-cycle-consistent-generative-adversarial-network-cycle_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CT-Based Pelvic T1-Weighted MR Image Synthesis Using UNet, UNet++ and Cycle-Consistent Generative Adversarial Network (Cycle-GAN)}}, year = {2026}, url = {https://4ort.xyz/entity/ct-based-pelvic-t1-weighted-mr-image-synthesis-using-unet-unet-and-cycle-consistent-generative-adversarial-network-cycle}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CT-Based Pelvic T1-Weighted MR Image Synthesis Using UNet, UNet++ and Cycle-Consistent Generative Adversarial Network (Cycle-GAN) — https://4ort.xyz/entity/ct-based-pelvic-t1-weighted-mr-image-synthesis-using-unet-unet-and-cycle-consistent-generative-adversarial-network-cycle (retrieved 2026-05-24)

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