官方服务：
资源简介：
Neurological Disease Detection Dataset for Brain MRI AI
应用场景：
创建时间：
2026-05-03
相关数据集
The set of variables from which features are selected for prediction.
The variable MMSE is binary and found by thresholding the raw value at 26. The output VENTS-ICV is the ratio of VENTS and ICV which are predicted using separate models. VENTS is predicted using VENTRI
NIAID Data Ecosystem60
A comprehensive review of the literature about structural brain differences in sportsmen compared with laymen.
*, ballet and ice dancers; °, longitudinal study; ↑, increase; ↓, decrease; CC, corpus callosum; Cer, cerebellum; Cin., cingulum; CMA, cingulate motor area; Con, controls; CST, corticospinal tract; DT
NIAID Data Ecosystem50
Additional file 1 of Altered medial temporal lobe subregion volumes in systemic lupus erythematosus patients with neuropsychiatric symptoms
Supplementary Material 1
Figshare2025-01-27 更新30
609271
This is a series of serial two-photon images of whole mouse brain to characterize cell populations for the purpose of evaluating the specificity of newly created enhancer elements
DataCite Commons2022-06-22 更新60
Volume (mean ± SD; in cm 3 ) of brain, total gray matter and white matter with T1-weighted hypointensities.
TIV, total intracranial volume; WM, white matter. ap value for ANOVA test; bp value for ANCOVA test adjusted for age, gender and TIV.
NIAID Data Ecosystem40
