フォロー
Yuta Tokuoka
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), 1-12, 2020
212020
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
142019
Convolutional neural network-based instance segmentation algorithm to acquire quantitative criteria of early mouse development
Y Tokuoka, TG Yamada, NF Hiroi, TJ Kobayashi, K Yamagata, ...
BioRxiv, 324186, 2018
122018
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
72019
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
22020
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
12021
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
12019
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
2022
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論文 1–8