MRS data quantification through the KBDM: reducing the effect of noise by using multiple signal truncations (2015)
- Authors:
- USP affiliated authors: TANNUS, ALBERTO - IFSC ; MAGON, CLAUDIO JOSE - IFSC ; PAIVA, FERNANDO FERNANDES - IFSC
- Unidade: IFSC
- Subjects: ESPECTROSCOPIA DE RESSONÂNCIA MAGNÉTICA NUCLEAR; TRANSFORMADA DE FOURIER
- Language: Inglês
- Imprenta:
- Publisher: International Society for Magnetic Resonance in Medicine - ISMRM
- Publisher place: Concord
- Date published: 2015
- Source:
- Título do periódico: Proceedings
- Conference titles: ISMRM Annual Meeting and Exhibition
-
ABNT
SILVA, Danilo Mendes Dias Delfino da et al. MRS data quantification through the KBDM: reducing the effect of noise by using multiple signal truncations. 2015, Anais.. Concord: International Society for Magnetic Resonance in Medicine - ISMRM, 2015. . Acesso em: 25 abr. 2024. -
APA
Silva, D. M. D. D. da, Lima, T. S., Tannus, A., Magon, C. J., & Paiva, F. F. (2015). MRS data quantification through the KBDM: reducing the effect of noise by using multiple signal truncations. In Proceedings. Concord: International Society for Magnetic Resonance in Medicine - ISMRM. -
NLM
Silva DMDD da, Lima TS, Tannus A, Magon CJ, Paiva FF. MRS data quantification through the KBDM: reducing the effect of noise by using multiple signal truncations. Proceedings. 2015 ;[citado 2024 abr. 25 ] -
Vancouver
Silva DMDD da, Lima TS, Tannus A, Magon CJ, Paiva FF. MRS data quantification through the KBDM: reducing the effect of noise by using multiple signal truncations. Proceedings. 2015 ;[citado 2024 abr. 25 ] - Clinical MRS data processing using KBDM
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