フォロー
Yuta Tokuoka
Yuta Tokuoka
Preferred Networks Inc., Keio University
確認したメール アドレス: fun.bio.keio.ac.jp - ホームページ
タイトル
引用先
引用先
3D convolutional neural networks-based segmentation to acquire quantitative criteria of the nucleus during mouse embryogenesis
Y Tokuoka, TG Yamada, D Mashiko, Z Ikeda, NF Hiroi, TJ Kobayashi, ...
NPJ systems biology and applications 6 (1), 32, 2020
432020
Predicting the future direction of cell movement with convolutional neural networks
S Nishimoto, Y Tokuoka, TG Yamada, NF Hiroi, A Funahashi
PloS one 14 (9), e0221245, 2019
242019
An inductive transfer learning approach using cycle-consistent adversarial domain adaptation with application to brain tumor segmentation
Y Tokuoka, S Suzuki, Y Sugawara
Proceedings of the 2019 6th international conference on biomedical and …, 2019
232019
Development of Convolutional Neural Network Based Instance Segmentation Algorithm to Acquire Quantitative Criteria of Mouse Development
Y Tokuoka, TG Yamada, NF Hiroi, TJ Kobayashi, K Yamagata, ...
BioRxiv, 324186, 2018
162018
Direct cell counting using macro-scale smartphone images of cell aggregates
C Imashiro, Y Tokuoka, K Kikuhara, TG Yamada, K Takemura, ...
IEEE Access 8, 170033-170043, 2020
62020
An explainable deep learning-based algorithm with an attention mechanism for predicting the live birth potential of mouse embryos
Y Tokuoka, TG Yamada, D Mashiko, Z Ikeda, TJ Kobayashi, K Yamagata, ...
Artificial Intelligence in Medicine 134, 102432, 2022
52022
3d convolutional neural networks-based segmentation to acquire quantitative criteria of the nucleus during mouse embryogenesis. npj Systems Biology and Applications 6, 1–12
Y Tokuoka, TG Yamada, D Mashiko, Z Ikeda, NF Hiroi, TJ Kobayashi, ...
A. doi 10, 2020
52020
Symbolic integration by integrating learning models with different strengths and weaknesses
H Kubota, Y Tokuoka, TG Yamada, A Funahashi
IEEE Access 10, 47000-47010, 2022
32022
Deep learning for non-invasive determination of the differentiation status of human neuronal cells by using phase-contrast photomicrographs
M Ooka, Y Tokuoka, S Nishimoto, NF Hiroi, TG Yamada, A Funahashi
Applied Sciences 9 (24), 5503, 2019
32019
Development of non-bias phenotypic drug screening for cardiomyocyte hypertrophy by image segmentation using deep learning
J Komuro, Y Tokuoka, T Seki, D Kusumoto, H Hashimoto, T Katsuki, ...
Biochemical and Biophysical Research Communications 632, 181-188, 2022
22022
Roles of microglia/macrophage and antibody in cell sheet transplantation in the central nervous system
N Honda, Y Watanabe, Y Tokuoka, R Hanajima
Stem Cell Research & Therapy 13 (1), 470, 2022
12022
Deep learning-based algorithm for predicting the live birth potential of mouse embryos
Y Tokuoka, TG Yamada, D Mashiko, Z Ikeda, TJ Kobayashi, K Yamagata, ...
bioRxiv, 2021.08. 19.456065, 2021
12021
Inference of gene regulatory networks for overcoming low performance in real-world data
Y Hiki, Y Tokuoka, TG Yamada, A Funahashi
bioRxiv, 2024.07. 16.603684, 2024
2024
手術器具トラッキングによるマイクロサージャリー技術の定量化
下田真吾鹿島大河、徳岡雄大、水野和恵、大山慎太郎、建部将広、藤田明子、
日本メディカルAI学会, 2024
2024
Four-dimensional label-free live cell image segmentation for predicting live birth potential of mouse embryos
T Kanazawa, T Yao, S Takeshita, T Hirai, R Suenaga, TG Yamada, ...
bioRxiv, 2024.09. 25.614861, 2024
2024
Deep learning-based automated prediction of mouse seminiferous tubule stage by using bright-field microscopy
Y Tokuoka, T Endo, T Morikura, Y Hiradate, M Ikawa, A Funahashi
bioRxiv, 2024.08. 07.606973, 2024
2024
Cell segmentation without annotation by unsupervised domain adaptation based on cooperative self-learning
S Miyaki, S Nishimoto, Y Tokuoka, TG Yamada, T Morikura, A Funahashi
bioRxiv, 2024.07. 05.602197, 2024
2024
Role of microglia and macrophages in cell sheet transplantation in the central nervous system
Y Watanabe, N Honda, Y Tokuoka, R Hanajima
Journal of the Neurological Sciences 455, 2023
2023
Exloring Autonomous Optimal Experimental Conditions for In Vitro Tissue Maturation with Batch Bayesian Optimization
D Miyata, K Kasahara, T Yamada, Y Tokuoka, Y Taguchi, Y Kurashina, ...
2023 22nd International Conference on Solid-State Sensors, Actuators and …, 2023
2023
Neural Architecture Search の探索空間削減を目指した深層学習モデルの部分構造解析
富山護, 比企佑介, 渋谷優介, 徳岡雄大, 山田貴大, 舟橋啓
人工知能学会全国大会論文集 第 36 回 (2022), 3Yin204-3Yin204, 2022
2022
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