Yuta Tokuoka - RankMe

13 papers B 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Breaking the Data Barrier: Robust Few-Shot 3D Vessel Segmentation using Foundation Models. CoRR Kirato Yoshihara, Yohei Sugawara, Yuta Tokuoka, Lihang Hong
2026	J	`jnl`	Cell Segmentation Without Annotation by Unsupervised Domain Adaptation Based on Cooperative Self-Learning. IEEE Access Shintaro Miyaki, Takashi Morikura, Shori Nishimoto, Yuta Tokuoka, Takahiro G. Yamada, Akira Funahashi
2026	J	`jnl`	Inference of Gene Regulatory Networks for Overcoming Low Performance in Real-World Data. IEEE Access Yusuke Hiki, Yuta Tokuoka, Takahiro G. Yamada, Akira Funahashi
2025	—	`conf`	Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models. DGM4MICCAI@MICCAI Xinkai Zhao, Yuta Tokuoka, Junichiro Iwasawa, Keita Oda
2025	J	`jnl`	Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models. CoRR Xinkai Zhao, Yuta Tokuoka, Junichiro Iwasawa, Keita Oda
2025	J	`jnl`	Nuclear segmentation in four-dimensional label-free microscopy images for predicting live birth potential of mouse embryos. Comput. Biol. Medicine Taichi Kanazawa, Tatsuma Yao, Sora Takeshita, Tatsuki Hirai, Ryo Suenaga, Takahiro G. Yamada, Yuta Tokuoka, Kazuo Yamagata, Akira Funahashi
2025	B	`conf`	SAM2v-BTR: Accelerating SAM 2 Training for 3D Medical Image Segmentation Through Bootstrap and Memory Annealing. SMC Enzhi Zhang, Junichiro Iwasawa, Keita Oda, Yuta Tokuoka
2022	J	`jnl`	An explainable deep learning-based algorithm with an attention mechanism for predicting the live birth potential of mouse embryos. Artif. Intell. Medicine Yuta Tokuoka, Takahiro G. Yamada, Daisuke Mashiko, Zenki Ikeda, Tetsuya J. Kobayashi, Kazuo Yamagata, Akira Funahashi
2022	J	`jnl`	Symbolic Integration by Integrating Learning Models With Different Strengths and Weaknesses. IEEE Access Hazumi Kubota, Yuta Tokuoka, Takahiro G. Yamada, Akira Funahashi
2021	J	`jnl`	Symbolic integration by integrating learning models with different strengths and weaknesses. CoRR Hazumi Kubota, Yuta Tokuoka, Takahiro G. Yamada, Akira Funahashi
2020	J	`jnl`	An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation. CoRR Yuta Tokuoka, Shuji Suzuki, Yohei Sugawara
2020	J	`jnl`	Direct Cell Counting Using Macro-Scale Smartphone Images of Cell Aggregates. IEEE Access Chikahiro Imashiro, Yuta Tokuoka, Kaito Kikuhara, Takahiro G. Yamada, Kenjiro Takemura, Akira Funahashi
2019	—	`conf`	An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation. ICBBE Yuta Tokuoka, Shuji Suzuki, Yohei Sugawara