| A high-generalizability machine learning framework for predicting the progression of Alzheimer’s disease using limited data C Wang, Y Li, Y Tsuboshita, T Sakurai, T Goto, H Yamaguchi, ... NPJ digital medicine 5 (1), 43, 2022 | 22 | 2022 |
| Three-dimensional convolutional autoencoder extracts features of structural brain images with a “diagnostic label-free” approach: application to Schizophrenia Datasets H Yamaguchi, Y Hashimoto, G Sugihara, J Miyata, T Murai, H Takahashi, ... Frontiers in Neuroscience 15, 652987, 2021 | 15 | 2021 |
| Clinical and brain structural effects of the Illness Management and Recovery program in middle‐aged and older patients with schizophrenia R Nakamura, T Asami, A Yoshimi, D Kato, E Fujita, M Takaishi, H Yoshida, ... Psychiatry and Clinical Neurosciences 73 (12), 731-737, 2019 | 8 | 2019 |
| A case of subclinical Cushing's syndrome presenting as catatonia. H Yamaguchi, Y Chiba, O Katsuse, A Tamazawa, Y Hirayasu Psychogeriatrics: the Official Journal of the Japanese Psychogeriatric …, 2019 | 3 | 2019 |
| A multimodal deep learning approach for the prediction of cognitive decline and its effectiveness in clinical trials for Alzheimer’s disease C Wang, H Tachimori, H Yamaguchi, A Sekiguchi, Y Li, Y Yamashita, ... Translational Psychiatry 14 (1), 105, 2024 | | 2024 |
