Daiki Taomoto

According to our database, Daiki Taomoto authored at least 4 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Multi-Modality Fusion Model Based on Dual-Task Measurement for the Automatic Detection of Early-Stage Cognitive Impairment.

Shuqiong Wu, Jiaqing Liu, Ákos Godó, Fumio Okura, Manabu Ikeda, Shunsuke Sato, Maki Suzuki, Yuto Satake, Daiki Taomoto, Masahiro Hata, Yasushi Yagi

IEEE Trans. Biomed. Eng., January, 2026

2025

Real-Time, Multi-center, Dual-Task-Based Cognitive Impairment Screening with Graph Convolutional Neural Networks.

Ákos Godó, Shuqiong Wu, Manabu Ikeda, Shunsuke Sato, Yuto Satake, Maki Suzuki, Kazue Shigenobu, Daiki Taomoto, Yasushi Yagi

Proceedings of the Pattern Recognition and Computer Vision, 2025

2024

A deep learning model for the detection of various dementia and MCI pathologies based on resting-state electroencephalography data: A retrospective multicentre study.

Yusuke Watanabe, Yuki Miyazaki, Masahiro Hata, Ryohei Fukuma, Yasunori Aoki, Hiroaki Kazui, Toshihiko Araki, Daiki Taomoto, Yuto Satake, Takashi Suehiro, Shunsuke Sato, Hideki Kanemoto, Kenji Yoshiyama, Ryouhei Ishii, Tatsuya Harada, Haruhiko Kishima, Manabu Ikeda, Takufumi Yanagisawa

Neural Networks, 2024

PPGCN: Phase-Aligned Periodic Graph Convolutional Network for Dual-Task-Based Cognitive Impairment Detection.

Ákos Godó, Shuqiong Wu, Fumio Okura, Yasushi Makihara, Manabu Ikeda, Shunsuke Sato, Maki Suzuki, Yuto Satake, Daiki Taomoto, Yasushi Yagi

IEEE Access, 2024