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mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification
Research article (IEEE Transactions on Medical Imaging, 2019) · cited 63× · AI/ML
mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification
Summary
mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification is a scholarly article[1].
Key Facts
mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/mdixon-based-synthetic-ct-generation-for-pet-attenuation-correction-on-abdomen-and-pelvis-jointly-using-transfer-fuzzy-c
MLA“mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mdixon-based-synthetic-ct-generation-for-pet-attenuation-correction-on-abdomen-and-pelvis-jointly-using-transfer-fuzzy-c.
BibTeX@misc{4ortxyz_mdixon-based-synthetic-ct-generation-for-pet-attenuation-correction-on-abdomen-and-pelvis-jointly-using-transfer-fuzzy-c_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification}}, year = {2026}, url = {https://4ort.xyz/entity/mdixon-based-synthetic-ct-generation-for-pet-attenuation-correction-on-abdomen-and-pelvis-jointly-using-transfer-fuzzy-c}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification — https://4ort.xyz/entity/mdixon-based-synthetic-ct-generation-for-pet-attenuation-correction-on-abdomen-and-pelvis-jointly-using-transfer-fuzzy-c (retrieved 2026-05-24)
