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Computed tomography synthesis from magnetic resonance images in the pelvis using multiple random forests and auto-context features
Research article (Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE, 2016) · cited 32× · AI/ML
Computed tomography synthesis from magnetic resonance images in the pelvis using multiple random forests and auto-context features
Summary
Computed tomography synthesis from magnetic resonance images in the pelvis using multiple random forests and auto-context features is a scholarly article[1].
Key Facts
Computed tomography synthesis from magnetic resonance images in the pelvis using multiple random forests and auto-context features's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Computed tomography synthesis from magnetic resonance images in the pelvis using multiple random forests and auto-context features. Retrieved May 24, 2026, from https://4ort.xyz/entity/computed-tomography-synthesis-from-magnetic-resonance-images-in-the-pelvis-using-multiple-random-forests-and-auto-contex
MLA“Computed tomography synthesis from magnetic resonance images in the pelvis using multiple random forests and auto-context features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/computed-tomography-synthesis-from-magnetic-resonance-images-in-the-pelvis-using-multiple-random-forests-and-auto-contex.
BibTeX@misc{4ortxyz_computed-tomography-synthesis-from-magnetic-resonance-images-in-the-pelvis-using-multiple-random-forests-and-auto-contex_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Computed tomography synthesis from magnetic resonance images in the pelvis using multiple random forests and auto-context features}}, year = {2026}, url = {https://4ort.xyz/entity/computed-tomography-synthesis-from-magnetic-resonance-images-in-the-pelvis-using-multiple-random-forests-and-auto-contex}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Computed tomography synthesis from magnetic resonance images in the pelvis using multiple random forests and auto-context features — https://4ort.xyz/entity/computed-tomography-synthesis-from-magnetic-resonance-images-in-the-pelvis-using-multiple-random-forests-and-auto-contex (retrieved 2026-05-24)
