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Fingerprint Hideaki Hayashiが取り組む研究トピックをご確認ください。これらのトピックラベルは、この人物の研究に基づいています。これらを共に使用することで、固有の認識が可能になります。

Neural networks Engineering & Materials Science
Electromyography Medicine & Life Sciences
Magnetic resonance Engineering & Materials Science
Tumors Engineering & Materials Science
Time series Engineering & Materials Science
Brain Engineering & Materials Science
Music Therapy Medicine & Life Sciences
Electroencephalography Engineering & Materials Science

ネットワーク 最近の共同研究。丸をクリックして詳細を確認しましょう。

研究成果 2013 2020

  • 47 引用
  • 4 h指数
  • 12 会議での発言
  • 12 記事
  • 2
4 引用 (Scopus)

Infinite Brain MR Images: PGGAN-Based Data Augmentation for Tumor Detection

Han, C., Rundo, L., Araki, R., Furukawa, Y., Mauri, G., Nakayama, H. & Hayashi, H., 1 1 2020, Smart Innovation, Systems and Technologies. Springer Science and Business Media Deutschland GmbH, p. 291-303 13 p. (Smart Innovation, Systems and Technologies; 巻数 151).

研究成果: 著書/レポートタイプへの貢献

Magnetic resonance
Tumors
Brain
Medical imaging
Neural networks

A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction

Hayashi, H. & Uchida, S., 1 1 2019, Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Revised Selected Papers. Jawahar, C. V., Li, H., Schindler, K. & Mori, G. (版). Springer Verlag, p. 414-430 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 11362 LNCS).

研究成果: 著書/レポートタイプへの貢献会議での発言

Autocorrelation
Multiplication
Neural networks
Backpropagation
Pixels
1 引用 (Scopus)

Combining noise-to-image and image-to-image GANs: Brain MR image augmentation for tumor detection

Han, C., Rundo, L., Araki, R., Nagano, Y., Furukawa, Y., Mauri, G., Nakayama, H. & Hayashi, H., 1 1 2019, : : IEEE Access. 7, p. 156966-156977 12 p., 8869751.

研究成果: ジャーナルへの寄稿記事

公開
Magnetic resonance
Tumors
Brain
Medical imaging
Neural networks

GlyphGAN: Style-consistent font generation based on generative adversarial networks

Hayashi, H., Abe, K. & Uchida, S., 1 1 2019, (受理済み/印刷中) : : Knowledge-Based Systems. 186, 104927.

研究成果: ジャーナルへの寄稿記事

Neural networks
Generator

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

Furui, A., Hayashi, H. & Tsuji, T., 10 26 2018, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. Institute of Electrical and Electronics Engineers Inc., p. 5216-5219 4 p. 8513446. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; 巻数 2018-July).

研究成果: 著書/レポートタイプへの貢献会議での発言

Electromyography
Pattern recognition
Stochastic models
Uncertainty
Random variables