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Yuta Tokuoka
Yuta Tokuoka
Preferred Networks Inc., Keio University
Verified email at fun.bio.keio.ac.jp - Homepage
Title
Cited by
Cited by
Year
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
402020
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
222019
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
212019
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
52020
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
42022
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
12022
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
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
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
ライブセルイメージングと深層学習を用いた胚発生過程定量システムの構築
徳岡雄大, 山田貴大, 増子大輔, 池田善貴, 広井賀子, 小林徹也, ...
応用物理学会学術講演会講演予稿集 第 81 回応用物理学会秋季学術講演会, 87-87, 2020
2020
機械学習による細胞動態解析
西本勝利, 徳岡雄大, 山田貴大, 広井賀子, 舟橋啓
応用物理学会学術講演会講演予稿集 第 67 回応用物理学会春季学術講演会, 124-124, 2020
2020
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