Ryohei Nakayama

According to our database, Ryohei Nakayama authored at least 23 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Theoretical and Technical Issues Concerning the Measurement of Alpha Frequency and the Application of Signal Detection Theory: Comment on Buergers and Noppeney (2022).

Tomoya Kawashima, Ryohei Nakayama, Kaoru Amano

J. Cogn. Neurosci., April, 2024

2023

High Speed ASIC Architectures for Aggregate Signature over BLS12-381.

Kaoru Masada, Ryohei Nakayama, Makoto Ikeda

IEICE Trans. Electron., June, 2023

Semantic Face Segmentation Using Convolutional Neural Networks With a Supervised Attention Module.

Akiyoshi Hizukuri, Yuto Hirata, Ryohei Nakayama

IEEE Access, 2023

Video Anomaly Detection Using Encoder-Decoder Networks with Video Vision Transformer and Channel Attention Blocks.

Shimpei Kobayashi, Akiyoshi Hizukuri, Ryohei Nakayama

Proceedings of the 18th International Conference on Machine Vision and Applications, 2023

2022

Semantic Segmentation Method for Tooth Type with Data Augmentation Using Alpha-Blending.

Kosuke Shibuya, Kan Murata, Ryohei Nakayama, Akiyoshi Hizukuri

Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022

Anomaly Detection for Lung CT image Using Efficient GAN with Learning Stabilizations.

Yuto Akita, Ryohei Nakayama, Akiyoshi Hizukuri, Shoji Kido

Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022

Anomaly Detection for Lung CT Images Using SVDD-AE.

Zhihui Gao, Ryohei Nakayama, Akiyoshi Hizukuri, Kosuke Shibuya, Shoji Kido

Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022

Hardware Acceleration of Aggregate Signature Generation and Authentication by BLS Signature over BLS12-381 curve.

Kaoru Masada, Ryohei Nakayama, Makoto Ikeda

Proceedings of the IEEE Symposium in Low-Power and High-Speed Chips, 2022

2021

Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses on Breast DCE-MRI Images Using Deep Convolutional Neural Network with Bayesian Optimization.

Akiyoshi Hizukuri, Ryohei Nakayama, Mayumi Nara, Megumi Suzuki, Kiyoshi Namba

J. Digit. Imaging, 2021

BN-254 Based Multi-Core, Multi-Pairing Crypto-Processor for Functional Encryption.

Ryohei Nakayama, Makoto Ikeda

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020

Improving Image Resolution of Whole-Heart Coronary MRA Using Convolutional Neural Network.

Hiroki Kobayashi, Ryohei Nakayama, Akiyoshi Hizukuri, Masaki Ishida, Kakuya Kitagawa, Hajime Sakuma

J. Digit. Imaging, 2020

2016

Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses in Breast DCE-MRI.

Emi Honda, Ryohei Nakayama, Hitoshi Koyama, Akiyoshi Yamashita

J. Digit. Imaging, 2016

2014

Potential Usefulness of Presentation of Histological Classifications with Computer-Aided Diagnosis (CAD) Scheme in Differential Diagnosis of Clustered Microcalcifications on Mammograms.

Ryohei Nakayama, Kiyoshi Namba, Ryoji Watanabe, Hiroshi Nakahara, Ralph Smathers

Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014

2013

Computerized Determination Scheme for Histological Classification of Breast Mass Using Objective Features Corresponding to Clinicians' Subjective Impressions on Ultrasonographic Images.

Akiyoshi Hizukuri, Ryohei Nakayama, Yumi Kashikura, Haruhiko Takase, Hiroharu Kawanaka, Tomoko Ogawa, Shinji Tsuruoka

J. Digit. Imaging, 2013

2012

Computer-Aided Detection Scheme for Sentinel Lymph Nodes in Lymphoscintigrams using Symmetrical Property Around Mapped Injection Point.

Ryohei Nakayama, Akiyoshi Hizukuri, Koji Yamamoto, Nobuo Nakako, Naoki Nagasawa, Kan Takeda

J. Digit. Imaging, 2012

Computerized Segmentation Method for Individual Calcifications Within Clustered Microcalcifications While Maintaining Their Shapes on Magnification Mammograms.

Akiyoshi Hizukuri, Ryohei Nakayama, Nobuo Nakako, Hiroharu Kawanaka, Haruhiko Takase, Koji Yamamoto, Shinji Tsuruoka

J. Digit. Imaging, 2012

Computerized classification method for histological classifications of masses using objective features based on clinicians' subjective impressions.

Akiyoshi Hizukuri, Ryohei Nakayama, Yumi Kashikura, Hiroharu Kawanaka, Haruhiko Takase, Tomoko Ogawa, Shinji Tsuruoka

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

2011

Evaluation of Objective Similarity Measures for Selecting Similar Images of Mammographic Lesions.

Ryohei Nakayama, Hiroyuki Abe, Junji Shiraishi, Kunio Doi

J. Digit. Imaging, 2011

2006

Computer-aided diagnosis scheme using a filter bank for detection of microcalcification clusters in mammograms.

Ryohei Nakayama, Yoshikazu Uchiyama, Koji Yamamoto, Ryoji Watanabe, Kiyoshi Namba

IEEE Trans. Biomed. Eng., 2006

Potential Usefulness of Multiple-Mammographic Views in Computer-Aided Diagnosis Scheme for Identifying Histological Classification of Clustered Microcalcification.

Ryohei Nakayama, Ryoji Watanabe, Kiyoshi Namba, Koji Yamamoto, Kan Takeda, Shigehiko Katsuragawa, Kunio Doi

Proceedings of the Digital Mammography, 2006

2005

Detection of clustered microcalcifications on mammograms using new filter bank.

Ryohei Nakayama, Yoshikazu Uchiyama, Koji Yamamoto, Ryoji Watanabe, Kiyoshi Namba

Syst. Comput. Jpn., 2005

Development of new filter bank for detection of nodular patterns and linear patterns in medical images.

Ryohei Nakayama, Yoshikazu Uchiyama

Syst. Comput. Jpn., 2005

2001

A Pathway from Web to Telephone to Save Patients in Emergency Transfer, Applied to a Long-term-care System for High-risk Pregnancy in Mie Prefecture.

Koji Yamamoto, Takahiro Takada, Keiji Nakai, Hirotomo Nagaoka, Ryohei Nakayama, Darei Chi

Proceedings of the MEDINFO 2001, 2001