Takahiro G. Yamada

According to our database, Takahiro G. Yamada authored at least 7 papers between 2020 and 2026.

Collaborative distances:

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

2026

Cell Segmentation Without Annotation by Unsupervised Domain Adaptation Based on Cooperative Self-Learning.

Shintaro Miyaki, Takashi Morikura, Shori Nishimoto, Yuta Tokuoka, Takahiro G. Yamada, Akira Funahashi

IEEE Access, 2026

Inference of Gene Regulatory Networks for Overcoming Low Performance in Real-World Data.

Yusuke Hiki, Yuta Tokuoka, Takahiro G. Yamada, Akira Funahashi

IEEE Access, 2026

2025

Nuclear segmentation in four-dimensional label-free microscopy images for predicting live birth potential of mouse embryos.

Taichi Kanazawa, Tatsuma Yao, Sora Takeshita, Tatsuki Hirai, Ryo Suenaga, Takahiro G. Yamada, Yuta Tokuoka, Kazuo Yamagata, Akira Funahashi

Comput. Biol. Medicine, 2025

2024

Asynchronous Batch Bayesian Optimization with Pipelining Evaluations for Experimental Resource-constrained Conditions.

Yujin Taguchi, Yusuke Shibuya, Yusuke Hiki, Takashi Morikura, Takahiro G. Yamada, Akira Funahashi

CoRR, 2024

2022

An explainable deep learning-based algorithm with an attention mechanism for predicting the live birth potential of mouse embryos.

Yuta Tokuoka, Takahiro G. Yamada, Daisuke Mashiko, Zenki Ikeda, Tetsuya J. Kobayashi, Kazuo Yamagata, Akira Funahashi

Artif. Intell. Medicine, 2022

Symbolic Integration by Integrating Learning Models With Different Strengths and Weaknesses.

Hazumi Kubota, Yuta Tokuoka, Takahiro G. Yamada, Akira Funahashi

IEEE Access, 2022

2020

Direct Cell Counting Using Macro-Scale Smartphone Images of Cell Aggregates.

Chikahiro Imashiro, Yuta Tokuoka, Kaito Kikuhara, Takahiro G. Yamada, Kenjiro Takemura, Akira Funahashi

IEEE Access, 2020