Senra Filho, Antonio Carlos da S; Murta Júnior, Luiz Otávio 
; Paschoal, André Monteiro
Source: Magnetic Resonance Materials in Physics, Biology and Medicine. Unidade: FFCLRP
Subjects: TENSORES, RESSONÂNCIA MAGNÉTICA, CÉREBRO
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SENRA FILHO, Antonio Carlos da S e MURTA JÚNIOR, Luiz Otávio e PASCHOAL, André Monteiro. Assessing biological self-organization patterns using statistical complexity characteristics: a tool for diffusion tensor imaging analysis. Magnetic Resonance Materials in Physics, Biology and Medicine, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10334-024-01185-4. Acesso em: 03 maio 2026.APA
Senra Filho, A. C. da S., Murta Júnior, L. O., & Paschoal, A. M. (2024). Assessing biological self-organization patterns using statistical complexity characteristics: a tool for diffusion tensor imaging analysis. Magnetic Resonance Materials in Physics, Biology and Medicine. doi:10.1007/s10334-024-01185-4NLM
Senra Filho AC da S, Murta Júnior LO, Paschoal AM. Assessing biological self-organization patterns using statistical complexity characteristics: a tool for diffusion tensor imaging analysis [Internet]. Magnetic Resonance Materials in Physics, Biology and Medicine. 2024 ;[citado 2026 maio 03 ] Available from: https://doi.org/10.1007/s10334-024-01185-4Vancouver
Senra Filho AC da S, Murta Júnior LO, Paschoal AM. Assessing biological self-organization patterns using statistical complexity characteristics: a tool for diffusion tensor imaging analysis [Internet]. Magnetic Resonance Materials in Physics, Biology and Medicine. 2024 ;[citado 2026 maio 03 ] Available from: https://doi.org/10.1007/s10334-024-01185-4
