Ryohei Nakayama

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 12

Top Topics

Anomaly Detection

Benign And Malignant

Convolutional Neural Networks

Top Venues

J. Digit. Imaging

J. Cogn. Neurosci.

Publications

Tomoya Kawashima, Ryohei Nakayama, Kaoru Amano
Theoretical and Technical Issues Concerning the Measurement of Alpha Frequency and the Application of Signal Detection Theory: Comment on Buergers and Noppeney (2022). J. Cogn. Neurosci. 36 (4) (2024)
Kaoru Masada, Ryohei Nakayama, Makoto Ikeda
High Speed ASIC Architectures for Aggregate Signature over BLS12-381. IEICE Trans. Electron. 106 (6) (2023)
Shimpei Kobayashi, Akiyoshi Hizukuri, Ryohei Nakayama
Video Anomaly Detection Using Encoder-Decoder Networks with Video Vision Transformer and Channel Attention Blocks. MVA (2023)
Akiyoshi Hizukuri, Yuto Hirata, Ryohei Nakayama
Semantic Face Segmentation Using Convolutional Neural Networks With a Supervised Attention Module. IEEE Access 11 (2023)
Kosuke Shibuya, Kan Murata, Ryohei Nakayama, Akiyoshi Hizukuri
Semantic Segmentation Method for Tooth Type with Data Augmentation Using Alpha-Blending. SCIS/ISIS (2022)
Zhihui Gao, Ryohei Nakayama, Akiyoshi Hizukuri, Kosuke Shibuya, Shoji Kido
Anomaly Detection for Lung CT Images Using SVDD-AE. GCCE (2022)
Kaoru Masada, Ryohei Nakayama, Makoto Ikeda
Hardware Acceleration of Aggregate Signature Generation and Authentication by BLS Signature over BLS12-381 curve. COOL CHIPS (2022)
Yuto Akita, Ryohei Nakayama, Akiyoshi Hizukuri, Shoji Kido
Anomaly Detection for Lung CT image Using Efficient GAN with Learning Stabilizations. SCIS/ISIS (2022)
Akiyoshi Hizukuri, Ryohei Nakayama, Mayumi Nara, Megumi Suzuki, Kiyoshi Namba
Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses on Breast DCE-MRI Images Using Deep Convolutional Neural Network with Bayesian Optimization. J. Digit. Imaging 34 (1) (2021)
Ryohei Nakayama, Makoto Ikeda
BN-254 Based Multi-Core, Multi-Pairing Crypto-Processor for Functional Encryption. ISCAS (2021)
Hiroki Kobayashi, Ryohei Nakayama, Akiyoshi Hizukuri, Masaki Ishida, Kakuya Kitagawa, Hajime Sakuma
Improving Image Resolution of Whole-Heart Coronary MRA Using Convolutional Neural Network. J. Digit. Imaging 33 (2) (2020)
Emi Honda, Ryohei Nakayama, Hitoshi Koyama, Akiyoshi Yamashita
Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses in Breast DCE-MRI. J. Digit. Imaging 29 (3) (2016)
Ryohei Nakayama, Kiyoshi Namba, Ryoji Watanabe, Hiroshi Nakahara, Ralph Smathers
Potential Usefulness of Presentation of Histological Classifications with Computer-Aided Diagnosis (CAD) Scheme in Differential Diagnosis of Clustered Microcalcifications on Mammograms. Digital Mammography / IWDM (2014)
Akiyoshi Hizukuri, Ryohei Nakayama, Yumi Kashikura, Haruhiko Takase, Hiroharu Kawanaka, Tomoko Ogawa, Shinji Tsuruoka
Computerized Determination Scheme for Histological Classification of Breast Mass Using Objective Features Corresponding to Clinicians' Subjective Impressions on Ultrasonographic Images. J. Digit. Imaging 26 (5) (2013)
Akiyoshi Hizukuri, Ryohei Nakayama, Yumi Kashikura, Hiroharu Kawanaka, Haruhiko Takase, Tomoko Ogawa, Shinji Tsuruoka
Computerized classification method for histological classifications of masses using objective features based on clinicians' subjective impressions. SCIS&ISIS (2012)
Akiyoshi Hizukuri, Ryohei Nakayama, Nobuo Nakako, Hiroharu Kawanaka, Haruhiko Takase, Koji Yamamoto, Shinji Tsuruoka
Computerized Segmentation Method for Individual Calcifications Within Clustered Microcalcifications While Maintaining Their Shapes on Magnification Mammograms. J. Digit. Imaging 25 (3) (2012)
Ryohei Nakayama, Akiyoshi Hizukuri, Koji Yamamoto, Nobuo Nakako, Naoki Nagasawa, Kan Takeda
Computer-Aided Detection Scheme for Sentinel Lymph Nodes in Lymphoscintigrams using Symmetrical Property Around Mapped Injection Point. J. Digit. Imaging 25 (1) (2012)
Ryohei Nakayama, Hiroyuki Abe, Junji Shiraishi, Kunio Doi
Evaluation of Objective Similarity Measures for Selecting Similar Images of Mammographic Lesions. J. Digit. Imaging 24 (1) (2011)
Ryohei Nakayama, Yoshikazu Uchiyama, Koji Yamamoto, Ryoji Watanabe, Kiyoshi Namba
Computer-aided diagnosis scheme using a filter bank for detection of microcalcification clusters in mammograms. IEEE Trans. Biomed. Eng. 53 (2) (2006)
Ryohei Nakayama, Ryoji Watanabe, Kiyoshi Namba, Koji Yamamoto, Kan Takeda, Shigehiko Katsuragawa, Kunio Doi
Potential Usefulness of Multiple-Mammographic Views in Computer-Aided Diagnosis Scheme for Identifying Histological Classification of Clustered Microcalcification. Digital Mammography / IWDM (2006)
Ryohei Nakayama, Yoshikazu Uchiyama
Development of new filter bank for detection of nodular patterns and linear patterns in medical images. Systems and Computers in Japan 36 (13) (2005)
Ryohei Nakayama, Yoshikazu Uchiyama, Koji Yamamoto, Ryoji Watanabe, Kiyoshi Namba
Detection of clustered microcalcifications on mammograms using new filter bank. Systems and Computers in Japan 36 (5) (2005)
Koji Yamamoto, Takahiro Takada, Keiji Nakai, Hirotomo Nagaoka, Ryohei Nakayama, Darei Chi
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. MedInfo (2001)