Hayashi H - Search Results

1

Endoscopic Image Clustering with Temporal Ordering Information Based on Dynamic Programming.

Harada S, Hayashi H, Bise R, Tanaka K, Meng Q, Uchida S. Harada S, et al. Among authors: hayashi h. Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:3681-3684. doi: 10.1109/EMBC.2019.8857011. Annu Int Conf IEEE Eng Med Biol Soc. 2019. PMID: 31946675

2

Biosignal Data Augmentation Based on Generative Adversarial Networks.

Haradal S, Hayashi H, Uchida S. Haradal S, et al. Among authors: hayashi h. Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:368-371. doi: 10.1109/EMBC.2018.8512396. Annu Int Conf IEEE Eng Med Biol Soc. 2018. PMID: 30440412

3

Soft and self constrained clustering for group-based labeling.

Harada S, Bise R, Hayashi H, Tanaka K, Uchida S. Harada S, et al. Among authors: hayashi h. Med Image Anal. 2021 Aug;72:102097. doi: 10.1016/j.media.2021.102097. Epub 2021 May 12. Med Image Anal. 2021. PMID: 34107343

4

A neural network based infant monitoring system to facilitate diagnosis of epileptic seizures.

Ogura Y, Hayashi H, Nakashima S, Zu Soh, Shibanoki T, Shimatani K, Takeuchi A, Nakamura M, Okumura A, Kurita Y, Tsuji T. Ogura Y, et al. Among authors: hayashi h. Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:5614-7. doi: 10.1109/EMBC.2015.7319665. Annu Int Conf IEEE Eng Med Biol Soc. 2015. PMID: 26737565

5

An EMG Pattern Classification Method Based on a Mixture of Variance Distribution Models.

Furui A, Hayashi H, Tsuji T. Furui A, et al. Among authors: hayashi h. Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:5216-5219. doi: 10.1109/EMBC.2018.8513446. Annu Int Conf IEEE Eng Med Biol Soc. 2018. PMID: 30441514

6

Bioelectric signal classification using a recurrent probabilistic neural network with time-series discriminant component analysis.

Hayashi H, Shima K, Shibanoki T, Kurita Y, Tsuji T. Hayashi H, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:5394-7. doi: 10.1109/EMBC.2013.6610768. Annu Int Conf IEEE Eng Med Biol Soc. 2013. PMID: 24110955

7

Variance distribution analysis of surface EMG signals based on marginal maximum likelihood estimation.

Furui A, Hayashi H, Kurita Y, Tsuji T. Furui A, et al. Among authors: hayashi h. Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:2514-2517. doi: 10.1109/EMBC.2017.8037368. Annu Int Conf IEEE Eng Med Biol Soc. 2017. PMID: 29060410

8

A Variance Distribution Model of Surface EMG Signals Based on Inverse Gamma Distribution.

Hayashi H, Furui A, Kurita Y, Tsuji T. Hayashi H, et al. IEEE Trans Biomed Eng. 2017 Nov;64(11):2672-2681. doi: 10.1109/TBME.2017.2657121. IEEE Trans Biomed Eng. 2017. PMID: 28129146

9

An artificial EMG generation model based on signal-dependent noise and related application to motion classification.

Furui A, Hayashi H, Nakamura G, Chin T, Tsuji T. Furui A, et al. Among authors: hayashi h. PLoS One. 2017 Jun 22;12(6):e0180112. doi: 10.1371/journal.pone.0180112. eCollection 2017. PLoS One. 2017. PMID: 28640883 Free PMC article.

10

A Scale Mixture-Based Stochastic Model of Surface EMG Signals With Variable Variances.

Furui A, Hayashi H, Tsuji T. Furui A, et al. Among authors: hayashi h. IEEE Trans Biomed Eng. 2019 Oct;66(10):2780-2788. doi: 10.1109/TBME.2019.2895683. Epub 2019 Jan 28. IEEE Trans Biomed Eng. 2019. PMID: 30703005

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