Publication list (Last update: June 28, 2024)

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 Journal Papers

1. Takeaki Kadota, Hideaki Hayashi, Ryoma Bise,Kiyohito Tanaka, Seiichi Uchida
   Deep Bayesian Active Learning-to-Rank with Relative Annotation for Estimation of Ulcerative Colitis Severity
   Medical Image Analysis (IF=10.7) (accepted).

2. Hideaki Hayashi
   A Hybrid of Generative and Discriminative Models Based on the Gaussian-coupled Softmax Layer
   IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2024.3358113, 2024 (early access). [arXiv]

3. Hideaki Hayashi and Toshio Tsuji
   Human–Machine Interfaces Based on Bioelectric Signals: A Narrative Review with a Novel System Proposal
   IEEJ Transactions on Electrical and Electronic Engineering, Vol. 17, Issue 11, pp. 1536–1544,  DOI: 10.1002/tee.23646, June 2022. [WILEY Online Library]

4. Hideaki Hayashi, Taro Shibanoki, and Toshio Tsuji
   A Neural Network Based on the Johnson SU Translation System and Related Application to Electromyogram Classification
   IEEE Access (IF=3.367), Vol. 9, pp. 154304–154317, DOI: 10.1109/ACCESS.2021.3126348, November 2021. [IEEE Xplore (Open Access)]

5. Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, and Seiichi Uchida
   Soft and Self Constrained Clustering for Group-Based Labeling
   Medical Image Analysis (IF=11.148), Vol. 72, Article number: 102097, DOI: 10.1016/j.media.2021.102097, August 2021.

6. Naoki Kinoshita, Akira Furui, Zu Soh, Hideaki Hayashi, Taro Shibanoki, Hiroki Mori, Koji Shimatani, Yasuko Funabiki, and Toshio Tsuji
   Longitudinal Assessment of U-shaped and Inverted U-shaped Developmental Changes in the Spontaneous Movements of Infants via Markerless Video Analysis
   Scientific Reports (IF=3.998), Vol. 10, Article number: 16827, DOI: 10.1038/s41598-020-74006-y, October 2020. [Scientific Reports (Open Access)]

7. Katsuaki Kawashima, Yasuko Funabiki, Shino Ogawa, Hideaki Hayashi, Zu Soh, Akira Furui, Ayumi Sato, Taiko Shiwa, Hiroki Mori, Koji Shimatani, Haruta Mogami, Yukuo Konishi, and Toshio Tsuji
   Video-based Evaluation of Infant Crawling Toward Quantitative Assessment of Motor Development
   Scientific Reports (IF=3.998), Vol. 10, Article number: 11266, DOI: 10.1038/s41598-020-67855-0, July 2020. [Scientific Reports (Open Access)]

8. Toshio Tsuji, Shota Nakashima, Hideaki Hayashi, Zu Soh, Akira Furui, Taro Shibanoki, Keisuke Shima, Koji Shimatani
   Markerless Measurement and Evaluation of General Movements in Infants
   Scientific Reports (IF=3.998), Vol. 10, Article number: 1422, DOI: 10.1038/s41598-020-57580-z, January 2020. [Scientific Reports (Open Access)]

9. Changhee Han, Leonardo Rundo, Ryosuke Araki, Yudai Nagano, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi
   Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection
   IEEE Access (IF=4.098), Vol. 7, pp. 156966–156977, DOI: 10.1109/ACCESS.2019.2947606, October 2019. [IEEE Xplore (Open Access)] [arXiv]

10. Shota Harada, Hideaki Hayashi, Seiichi Uchida
    Biosignal Generation and Latent Variable Analysis with Recurrent Generative Adversarial Networks
    IEEE Access (IF=4.098), Vol. 7, pp. 144292–144302, DOI: 10.1109/ACCESS.2019.2934928, August 2019. [IEEE Xplore (Open Access)]

11. Hideaki Hayashi, Kohtaro Abe, Seiichi Uchida
    GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks
    Knowledge-Based Systems (IF=5.101), Vol. 186, 104927, DOI: 10.1016/j.knosys.2019.104927. [arXiv] [ScienceDirect]

12. Akira Furui, Hideaki Hayashi, and Toshio Tsuji
    Scale Mixture-based Stochastic Model of Surface EMG Signals with Variable Variances
    IEEE Transactions on Biomedical Engineering (IF=4.491), Vol. 66, No. 10, pp. 2780–2788, DOI: 10.1109/TBME.2019.2895683, October 2019. [IEEE Xplore] [arXiv]

13. Nobuhiko Ichinose, Seiji Hama, Toshio Tsuji, Zu Soh, Hideaki Hayashi, Yoshihiro Kiura, Shigeyuki Sakamoto, Takahito Okazaki, Daizo Ishii, Katsuhiro Shinagawa, and Kaoru Kurisu
    Predicting Ischemic Stroke after Carotid Artery Stenting can be Predicted by Proximal Calcification and Jellyfish Sign
    Journal of Neurosurgery, Vol. 128, No. 5, pp. 1280–1288, DOI: 10.3171/2017.1.JNS162379, May 2018. [PubMed]

14. Hideaki Hayashi, Akira Furui, Yuichi Kurita, and Toshio Tsuji
    A Variance Distribution Model of Surface EMG Signals Based on Inverse Gamma Distribution
    IEEE Transactions on Biomedical Engineering, Vol. 64, No. 11, pp. 2672–2681, DOI: 10.1109/TBME.2017.2657121, Nov 2017. [IEEE Xplore]

15. Akira Furui, Hideaki Hayashi, Go Nakamura, Takaaki Chin, and Toshio Tsuji
    An Artificial EMG Generation Model Based on Signal-dependent Noise and Related Application to Motion Classification
    PLOS ONE, 12(6): e0180112, DOI:10.1371/journal.pone.0180112, Jun 2017. [PLOS ONE (Open Access)]

16. Zu Soh, Ryo Migita, Kayoko Takahashi, Koji Shimatani, Hideaki Hayashi, Yuichi Kurita, and Toshio Tsuji
    A Motor Behavioral Evaluation Method for Children with Developmental Disorders during Music Therapy Sessions: A pilot study
    Current Pediatric Research, Vol. 20, No. 2, pp. 103–117, 2016.

17. Hideaki Hayashi, Taro Shibanoki, Keisuke Shima, Yuichi Kurita, and Toshio Tsuji
    A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis
    IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, No.12, pp. 3021–3033, 2015. [IEEE Xplore] [arXiv]

 Journal Papers (Domestic)

1. Taro Shibanoki, Go Nakamura, Fuminori Orihashi, Hideaki Hayashi, Yuichi Kurita, Takeshi Takaki, Yuichiro Honda, Futoshi Mizobe, Takaaki Chin, and Toshio Tsuji
   An Interactive Training System for Myoelectric Prostheses Using Virtual Hand
   Journal of the Robotics Society of Japan, Vol. 34, No. 6, pp. 404–410, 2016.

2. Hiroki Hirano, Masafumi Ito, Takuyuki Endo, Hideaki Hayashi, Harutoyo Hirano, Yuichi Kurita, Saburo Sakoda, and Toshio Tsuji
   A diagnostic support method for evaluating autonomic nervous function of patients with Parkinson's disease using a head-up tilt test
   The Japanese Journal of Medical Instrumentation,  Vol. 85, No. 6, pp. 569–576, 2015.

3. Keisuke Shima, Junichi Imagi, Hideaki Hayashi, Taro Shibanoki, Yuichi Kurita, and Toshio Tsuji
   A Probabilistic Neural Network with Anomaly Detection and Related Application to an EMG-controlled Prosthetic Hand
   Journal of the Robotics Society of Japan, Vol. 33, No. 4, pp. 275–284, 2015.

4. Shota Nakashima, Ryo Migita, Hideaki Hayashi, Taro Shibanoki, Keisuke Shima, Koji Shimatani, Mikiya Nakatsuka, Akihito Takeuchi, Makoto Nakamura, Yuichi Kurita, and Toshio Tsuji
   A Clinical Diagnosis Support System for General Movements Evaluation to Assess Spontaneous Movements in Infants
   Transactions of the Society of Instrument and Control Engineers, Vol. 50, No. 9, pp. 684–692, 2014.

5. Hideaki Hayashi, Keisuke Shima, Taro Shibanoki, Yuichi Kurita, and Toshio Tsuji
   A Reduced-dimensional Recurrent Probabilistic Neural Network Based on Time-series Discriminant Component Analysis
   Transactions of the Society of Instrument and Control Engineers, Vol. 50, No. 4, pp. 356–365, 2014.

Peer-reviewed Conference Papers

1. Lorenzo Querol, Hajime Nagahara, Hideaki Hayashi
   CALICO: Confident Active Learning with Integrated Calibration
   Proceedings of the International Conference on Artificial Neural Networks (ICANN 2024), Viganello, Switzerland, September 17–20, 2024 (accepted).

2. Masahito Toba, Seiichi Uchida, Hideaki Hayashi
   Pseudo-Label Learning with Calibrated Confidence Using an Energy-Based Model
   Proceedings of the IEEE World Congress on Computational Intelligence (WCCI 2024), Yokohama, Japan, June 30–July 5, 2024. [arXiv]

3. Yicheng Deng, Hideaki Hayashi, Hajime Nagahara
   Multi-Scale Spatio-Temporal Graph Convolutional Network for Facial Expression Spotting
   Proceedings of the International Conference on Automatic Face and Gesture Recognition (FG 2024), Istanbul, Turkey, May 27–31, 2024 [arXiv].

4. Ryosuke Kawamura, Hideaki Hayashi, Noriko Takemura, Hajime Nagahara
   MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition
   Proceedings of the Winter Conference on Applications of Computer Vision (WACV 2024), Hawaii, USA, January 4–8, 2024. [thecvf]

5. Naoya Yasukochi, Hideaki Hayashi, Daichi Haraguchi, Seiichi Uchida
   Analyzing Font Style Usage and Contextual Factors in Real Images
   Proceedings of the 17th International Conference on Document Analysis and Recognition (ICDAR 2023), California, USA, August 21–26, 2023. [arXiv]

6. Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, and Seiichi Uchida
   Deep Bayesian Active Learning to Rank for Endoscopic Image Data
   Proceedings of the 26th UK Conference on Medical Image Understanding and Analysis (MIUA 2022), University of Cambridge, July 27–29, 2022. [arXiv] 

7. Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, and Seiichi Uchida
   Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels
   Proceedings of the 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021),
   Virtual Conference due to COVID-19, September 27–October 1, 2021 (Poster presentation, acceptance rate: 30%). [arXiv] 

8. Takato Otsuzuki, Heon Song, Seiichi Uchida, Hideaki Hayashi
   Meta-learning of Pooling Layers for Character Recognition
   Proceedings of the 16th International Conference on Document Analysis and Recognition (ICDAR 2021),
   Lausanne, Switzerland, September 5–10, 2021 (Poster presentation). [arXiv]

9. Shohei Kubota*, Hideaki Hayashi*, Tomohiro Hayase, Seiichi Uchida (*Equal contribution)
   Layer-Wise Interpretation of Deep Neural Networks Using Identity Initialization
   Proceedings of the 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021),
   Virtual Conference due to COVID-19, June 6–11, 2021 (Poster presentation). [arXiv]

10. Hideaki Hayashi and Seiichi Uchida
    A Discriminative Gaussian Mixture Model with Sparsity
    Proceedings of the 9th International Conference on Learning Representations (ICLR 2021),
    Virtual Conference due to COVID-19, May 4–8, 2021 (Poster presentation, acceptance rate: 29%). [OpenReview]

11. Takato Otsuzuki, Hideaki Hayashi, Yuchen Zheng, Seiichi Uchida
    Regularized Pooling
    Proceedings of the 29th International Conference on Artificial Neural Networks (ICANN 2020), pp. 241–254, 2020. [arXiv]
    *The physical meeting was postponed due to COVID-19. The paper was published in Springer Lecture Notes in Computer Science, vol. 12397. Springer, Cham. DOI: 10.1007/978-3-030-61616-8_20.

12. Masaki Yamagata, Hideaki Hayashi, and Seiichi Uchida
    Handwriting Prediction Considering Inter-Class Bifurcation Structures
    Proceedings of the 17th International Conference on Frontiers of Handwriting Recognition (ICFHR 2020),
    Virtual Conference due to COVID-19, September 7–10, 2020. [arXiv]

13. Ryoma Bise, Kentaro Abe, Hideaki Hayashi, Kiyohito Tanaka, and Seiichi Uchida
    Efficient Soft-Constrained Clustering for Group-Based Labeling
    Proceedings of the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019),
    Shenzhen, China, October 13–17, 2019 (Poster presentation). [PDF]
    Published in Lecture Notes in Computer Science, vol. 11768, pp. 421–430, Springer, Cham, DOI: 10.1007/978-3-030-32254-0_47.

14. Taichi Sumi, Brian Kenji Iwana, Hideaki Hayashi, and Seiichi Uchida
    Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders
    Proceedings of the 15th International Conference on Document Analysis and Recognition (ICDAR 2019),
    pp. 407–412, Sydney, Australia, September 20–25, 2019 (Poster presentation). [arXiv]

15. Joonho Lee, Hideaki Hayashi, Wataru Ohyama, and Seiichi Uchida
    Page Segmentation using a Convolutional Neural Network with Trainable Co-occurrence Features
    Proceedings of the 15th International Conference on Document Analysis and Recognition (ICDAR 2019),
    pp. 1023–1028, Sydney, Australia, September 20–25, 2019 (Oral presentation). [PDF]

16. Shota Harada, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Qier Meng, and Seiichi Uchida
    Endoscopic Image Clustering with Temporal Ordering Information Based on Dynamic Programming
    Proceedings of the 41st International Engineering in Medicine and Biology Conference (EMBC 2019),
    pp. 3681–3684, Berlin, Germany, July 23–27, 2019 (Oral presentation). [PDF]

17. Hideaki Hayashi and Seiichi Uchida
    A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction
    Proceedings of the 14th Asian Conference on Computer Vision (ACCV 2018),
    Perth, Australia, December, 2–6, 2018 (Poster presentation, acceptance rate: 28%). [arXiv]
    Published in Lecture Notes in Computer Science, vol 11362, Springer, Cham. DOI: 10.1007/978-3-030-20890-5_27.

18. Shota Harada, Hideaki Hayashi, Seiichi Uchida
    Biosignal Data Augmentation Based on Generative Adversarial Networks
    Proceedings of 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2018),
    pp. 368–371, Honolulu, Hawaii, July, 17–21, 2018 (Poster presentation). [PDF]

19. Akira Furui, Hideaki Hayashi, Toshio Tsuji
    An EMG Pattern Classification Method Based on a Mixture of Variance Distribution Models
    Proceedings of 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2018),
    pp. 5216–5219, Honolulu, Hawaii, July, 17–21, 2018 (Oral presentation).

20. Changhee Han, Hideaki Hayashi, Leonardo Rundo, Ryosuke Araki, Wataru Shimoda, Shinichi Muramatsu, Furukawa Yujiro, Giancarlo Mauri, and Hideki Nakayama
    GAN-Based Synthetic Brain MR Image Generation
    Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI 2018),
    pp. 734–738, Washington, D.C., April 4–7, 2018 (Poster presentation).

21. Jinho Lee, Brian Kenji Iwana, Shota Ide, Hideaki Hayashi, and Seiichi Uchida
    Globally Optimal Object Tracking with Complementary Use of Single Shot Multibox Detector and Fully Convolutional Network
    Proceedings of the 8th Pacific-Rim Symposium on Image and Video Technology (PSIVT 2017),
    pp. 110–122, Wuhan, China, November 20–24, 2017 (Poster presentation).

22. Akira Furui, Hideaki Hayashi, Takaei Kihara, Takahiro Konishi, Yusuke Yoshida, Yuichi Kurida, and Toshio Tsuji
    Virtual Restoration of Down-sampled EMG Signals Using a Stochastic Model
    Proceedings of the 11th International Convention on Rehabilitation Engineering and Assistive Technology (i-CREATe 2017),
    PP5-3, Kobe, Japan, August 22–24, 2017 (Poster presentation).

23. Akira Furui, Hideaki Hayashi, Yuichi Kurita, Toshio Tsuji
    Variance Distribution Analysis of Surface EMG Signals Based on Marginal Maximum Likelihood Estimation
    Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017),
    pp. 2514–2517, Jeju Island, Korea, July 11–15, 2017 (Poster presentation).

24. Hideaki Hayashi, Yuichi Kurita, and Toshio Tsuji
    A Non-Gaussian Approach for Biosignal Classification Based on the Johnson SU Translation System
    Proceedings of the IEEE 8th International Workshop on Computational Intelligence and Applications,
    pp. 115–120, Hiroshima, Japan, November 6–7, 2015 (Oral presentation).

25. Yuya Ogura, Hideaki Hayashi, Shota Nakashima, Zu Soh, Taro Shibanoki, Koji Shimatani, Akihito Takeuchi, Makoto Nakamura, Akihisa Okumura, Yuichi Kurita, and Toshio Tsuji
    A Neural Network Based Infant Monitoring System to Facilitate Diagnosis of Epileptic Seizures
    Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015),
    pp. 5614–5617, Milano, Italy, August, 2015 (Oral presentation).

26. Hideaki Hayashi, Keisuke Shima, Taro Shibanoki, Yuichi Kurita, and Toshio Tsuji
    Bioelectric Signal Classification Using a Recurrent Probabilistic Neural Network with Time-series Discriminant Component Analysis
    Proceedings of 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2013),
    pp. 5394–5397, Osaka, Japan, July 3–7, 2013 (Oral presentation).

Book Chapters

1. Changhee Han, Leonardo Rundo, Ryosuke Araki, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, and Hideaki Hayashi
   Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection
   in Neural Approaches to Dynamics of Signal Exchanges (Eds. by A. Esposito, M. Faundez-Zanuy, F.C. Morabito, and E. Pasero), Springer, 2020. [arXiv]