Assessing biological self-organization patterns using statistical complexity characteristics: a tool for diffusion tensor imaging analysis.
Saved in:
| Title: | Assessing biological self-organization patterns using statistical complexity characteristics: a tool for diffusion tensor imaging analysis. |
|---|---|
| Authors: | da S Senra Filho AC; Department of Cosmic Rays and Chronology, University of Campinas, São Paulo, Brazil. acsenrafilho@alumni.usp.br., Murta Junior LO; Department of Computing and Mathematics, University of Sao Paulo, São Paulo, Brazil., Monteiro Paschoal A; Department of Cosmic Rays and Chronology, University of Campinas, São Paulo, Brazil. |
| Source: | Magma (New York, N.Y.) [MAGMA] 2025 Aug; Vol. 38 (4), pp. 653-663. Date of Electronic Publication: 2024 Jul 28. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Germany NLM ID: 9310752 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1352-8661 (Electronic) Linking ISSN: 09685243 NLM ISO Abbreviation: MAGMA Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1352-8661 |
|---|---|
| DOI: | 10.1007/s10334-024-01185-4 |
