Yu Shimizu

Identification of depression subtypes and relevant brain regions using a data-driven approach

Tomoki Tokuda, Junichiro Yoshimoto, Yu Shimizu et al. · Scientific Reports · 2018 · 138 citations · Full text

Prediction of clinical depression scores and detection of changes in whole-brain using resting-state functional MRI data with partial least squares regression

Kosuke Yoshida, Yu Shimizu, Junichiro Yoshimoto et al. · PLoS ONE · 2017 · 94 citations · Full text

Neurophysiological Biomarkers, Partial Least Squares, Social Sciences +19

Toward Probabilistic Diagnosis and Understanding of Depression Based on Functional MRI Data Analysis with Logistic Group LASSO

Yu Shimizu, Junichiro Yoshimoto, Shigeru Toki et al. · PLoS ONE · 2015 · 76 citations · Full text

Standard Lasso, Machine Learning, Engineering +28

The relationship between positive and negative automatic thought and activity in the prefrontal and temporal cortices: A multi-channel near-infrared spectroscopy (NIRS) study

Shunsuke Koseki, Takamasa Noda, Satoshi Yokoyama et al. · Journal of Affective Disorders · 2013 · 52 citations · Full text

Multiple co-clustering based on nonparametric mixture models with heterogeneous marginal distributions

Tomoki Tokuda, Junichiro Yoshimoto, Yu Shimizu et al. · PLoS ONE · 2017 · 27 citations · Full text