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Learning multi-site harmonization of magnetic resonance images without traveling human phantoms

Medicine and Health

Learning multi-site harmonization of magnetic resonance images without traveling human phantoms

S. Liu and P. Yap

Discover groundbreaking research by Siyuan Liu and Pew-Thian Yap that revolutionizes MRI data harmonization! Their deep neural network method creates consistent imaging across diverse sites without the need for traveling human phantoms, enhancing existing studies without additional data collection.... show more
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Citations
31
Influential Citations
0
Reference Count
46
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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