日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Neuroimaging Data Informed Mood and Psychosis Diagnosis Using an Ensemble Deep Multimodal Framework

基于集成深度多模态框架的神经影像数据驱动的情绪和精神病诊断

Rokham, Hooman; Falakshahi, Haleh; Pearlson, Godfrey D; Calhoun, Vince D

Evaluation of boundaries between mood and psychosis disorder using dynamic functional network connectivity (dFNC) via deep learning classification

利用深度学习分类,通过动态功能网络连接(dFNC)评估情绪障碍和精神病障碍之间的界限

Rokham, Hooman; Falakshahi, Haleh; Fu, Zening; Pearlson, Godfrey; Calhoun, Vince D

Path analysis: A method to estimate altered pathways in time-varying graphs of neuroimaging data

路径分析:一种估计神经影像数据时变图中的改变路径的方法

Falakshahi, Haleh; Rokham, Hooman; Fu, Zening; Iraji, Armin; Mathalon, Daniel H; Ford, Judith M; Mueller, Bryon A; Preda, Adrian; van Erp, Theo G M; Turner, Jessica A; Plis, Sergey; Calhoun, Vince D

Addressing Inaccurate Nosology in Mental Health: A Multilabel Data Cleansing Approach for Detecting Label Noise From Structural Magnetic Resonance Imaging Data in Mood and Psychosis Disorders

解决精神健康领域分类不准确的问题:一种用于检测情绪障碍和精神病障碍结构磁共振成像数据中标签噪声的多标签数据清洗方法

Rokham, Hooman; Pearlson, Godfrey; Abrol, Anees; Falakshahi, Haleh; Plis, Sergey; Calhoun, Vince D