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Yoshii, Kazumasa
57
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Online (57)
Mediatypes
Articles (Online) (30)
OpenAccess-fulltext (26)
Audio (Online) (1)
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1
Effectiveness of deep learning classifiers in histopatholog..:
Sukegawa, Shintaro
;
Ono, Sawako
;
Tanaka, Futa
...
Scientific Reports. 13 (2023) 1 - p. , 2023
Link:
https://doi.org/10.1038/..
?
2
Evaluation of multi-task learning in deep learning-based po..:
Sukegawa, Shintaro
;
Matsuyama, Tamamo
;
Tanaka, Futa
...
Scientific Reports. 12 (2022) 1 - p. , 2022
Link:
https://doi.org/10.1038/..
?
3
Deep learning model for analyzing the relationship between ..:
Sukegawa, Shintaro
;
Tanaka, Futa
;
Hara, Takeshi
...
Scientific Reports. 12 (2022) 1 - p. , 2022
Link:
https://doi.org/10.1038/..
?
4
Is attention branch network effective in classifying dental..:
Sukegawa, Shintaro
;
Yoshii, Kazumasa
;
Hara, Takeshi
...
PLOS ONE. 17 (2022) 7 - p. e0269016 , 2022
Link:
https://doi.org/10.1371/..
?
5
Effective deep learning for oral exfoliative cytology class..:
Sukegawa, Shintaro
;
Tanaka, Futa
;
Nakano, Keisuke
...
Scientific Reports. 12 (2022) 1 - p. , 2022
Link:
https://doi.org/10.1038/..
?
6
Multi-Task Deep Learning Model for Classification of Dental..:
Sukegawa, Shintaro
;
Yoshii, Kazumasa
;
Hara, Takeshi
...
Biomolecules. 11 (2021) 6 - p. 815 , 2021
Link:
https://doi.org/10.3390/..
?
7
Deep Neural Networks for Dental Implant System Classificati..:
Sukegawa, Shintaro
;
Yoshii, Kazumasa
;
Hara, Takeshi
...
Biomolecules. 10 (2020) 7 - p. 984 , 2020
Link:
https://doi.org/10.3390/..
?
8
Effectiveness of deep learning classifiers in histopatholog..:
Sukegawa, Shintaro
;
Ono, Sawako
;
Tanaka, Futa
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356919/. , 2023
Link:
http://www.ncbi.nlm.nih...
?
9
Effective deep learning for oral exfoliative cytology class..:
Sukegawa, Shintaro
;
Tanaka, Futa
;
Nakano, Keisuke
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346110/. , 2022
Link:
http://www.ncbi.nlm.nih...
?
10
Deep learning model for analyzing the relationship between ..:
Sukegawa, Shintaro
;
Tanaka, Futa
;
Hara, Takeshi
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547920/. , 2022
Link:
http://www.ncbi.nlm.nih...
?
11
Deep Neural Networks for Dental Implant System Classificati..:
Sukegawa, Shintaro
;
Yoshii, Kazumasa
;
Hara, Takeshi
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7407934/. , 2020
Link:
http://www.ncbi.nlm.nih...
?
12
Effectiveness of deep learning classifiers in histopatholog..:
Shintaro Sukegawa
;
Sawako Ono
;
Futa Tanaka
...
https://doi.org/10.1038/s41598-023-38343-y. , 2023
Link:
https://doi.org/10.1038/..
?
13
Evaluation of multi-task learning in deep learning-based po..:
Shintaro Sukegawa
;
Tamamo Matsuyama
;
Futa Tanaka
...
https://doi.org/10.1038/s41598-021-04603-y. , 2022
Link:
https://doi.org/10.1038/..
?
14
Is attention branch network effective in classifying dental..:
Shintaro Sukegawa
;
Kazumasa Yoshii
;
Takeshi Hara
...
https://doi.org/10.1371/journal.pone.0269016. , 2022
Link:
https://doi.org/10.1371/..
?
15
Deep learning model for analyzing the relationship between ..:
Shintaro Sukegawa
;
Futa Tanaka
;
Takeshi Hara
...
https://doi.org/10.1038/s41598-022-21408-9. , 2022
Link:
https://doi.org/10.1038/..
1-15