Measuring hippocampal neuroanatomical asymmetry to better diagnose Alzheimer's disease

Antonio Martinez-Torteya, Monica Rivera-Davila, José M. Celaya-Padilla, José G. Tamez-Peña, Félix E. Rodríguez-Cantú

Research output: Contribution to conferencePaper

Original languageEnglish
DOIs
Publication statusPublished - 15 Mar 2019

Cite this

Martinez-Torteya, A., Rivera-Davila, M., Celaya-Padilla, J. M., Tamez-Peña, J. G., & Rodríguez-Cantú, F. E. (2019). Measuring hippocampal neuroanatomical asymmetry to better diagnose Alzheimer's disease. https://doi.org/10.1117/12.2514771
Martinez-Torteya, Antonio ; Rivera-Davila, Monica ; Celaya-Padilla, José M. ; Tamez-Peña, José G. ; Rodríguez-Cantú, Félix E. / Measuring hippocampal neuroanatomical asymmetry to better diagnose Alzheimer's disease.
@conference{ecc26ef45fae4da09036fb02df3244f6,
title = "Measuring hippocampal neuroanatomical asymmetry to better diagnose Alzheimer's disease",
author = "Antonio Martinez-Torteya and Monica Rivera-Davila and Celaya-Padilla, {Jos{\'e} M.} and Tamez-Pe{\~n}a, {Jos{\'e} G.} and Rodr{\'i}guez-Cant{\'u}, {F{\'e}lix E.}",
year = "2019",
month = "3",
day = "15",
doi = "10.1117/12.2514771",
language = "English",

}

Measuring hippocampal neuroanatomical asymmetry to better diagnose Alzheimer's disease. / Martinez-Torteya, Antonio; Rivera-Davila, Monica; Celaya-Padilla, José M.; Tamez-Peña, José G.; Rodríguez-Cantú, Félix E.

2019.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Measuring hippocampal neuroanatomical asymmetry to better diagnose Alzheimer's disease

AU - Martinez-Torteya, Antonio

AU - Rivera-Davila, Monica

AU - Celaya-Padilla, José M.

AU - Tamez-Peña, José G.

AU - Rodríguez-Cantú, Félix E.

PY - 2019/3/15

Y1 - 2019/3/15

UR - http://www.mendeley.com/research/measuring-hippocampal-neuroanatomical-asymmetry-better-diagnose-alzheimers-disease

UR - http://www.mendeley.com/research/measuring-hippocampal-neuroanatomical-asymmetry-better-diagnose-alzheimers-disease

U2 - 10.1117/12.2514771

DO - 10.1117/12.2514771

M3 - Paper

ER -