Yuta Tokuoka

According to our database, Yuta Tokuoka authored at least 10 papers between 2019 and 2026.

Collaborative distances:

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

2026

Breaking the Data Barrier: Robust Few-Shot 3D Vessel Segmentation using Foundation Models.

Kirato Yoshihara, Yohei Sugawara, Yuta Tokuoka, Lihang Hong

CoRR, February, 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

SAM2v-BTR: Accelerating SAM 2 Training for 3D Medical Image Segmentation Through Bootstrap and Memory Annealing.

Enzhi Zhang, Junichiro Iwasawa, Keita Oda, Yuta Tokuoka

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models.

Xinkai Zhao, Yuta Tokuoka, Junichiro Iwasawa, Keita Oda

Proceedings of the Deep Generative Models - 5th MICCAI Workshop, 2025

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

2019

An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation.

Yuta Tokuoka, Shuji Suzuki, Yohei Sugawara

Proceedings of the ICBBE '19: 2019 6th International Conference on Biomedical and Bioinformatics Engineering, 2019