Subjects: RESSONÂNCIA MAGNÉTICA, ENVELHECIMENTO, DOENÇAS DO SISTEMA NERVOSO CENTRAL, APRENDIZADO COMPUTACIONAL
ABNT
MARÇAL, Tamires Corrêa. Comprehensive study of cortical thickness and thinning in the lifespan combining MRI, laminar architecture, and machine learning. 2023. Dissertação (Mestrado) – Universidade de São Paulo, Ribeirão Preto, 2023. Disponível em: https://www.teses.usp.br/teses/disponiveis/17/17163/tde-11042024-091750/. Acesso em: 14 out. 2024.APA
Marçal, T. C. (2023). Comprehensive study of cortical thickness and thinning in the lifespan combining MRI, laminar architecture, and machine learning (Dissertação (Mestrado). Universidade de São Paulo, Ribeirão Preto. Recuperado de https://www.teses.usp.br/teses/disponiveis/17/17163/tde-11042024-091750/NLM
Marçal TC. Comprehensive study of cortical thickness and thinning in the lifespan combining MRI, laminar architecture, and machine learning [Internet]. 2023 ;[citado 2024 out. 14 ] Available from: https://www.teses.usp.br/teses/disponiveis/17/17163/tde-11042024-091750/Vancouver
Marçal TC. Comprehensive study of cortical thickness and thinning in the lifespan combining MRI, laminar architecture, and machine learning [Internet]. 2023 ;[citado 2024 out. 14 ] Available from: https://www.teses.usp.br/teses/disponiveis/17/17163/tde-11042024-091750/