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 (MedInfo, 2001)

Development of new filter bank for detection of nodular patterns and linear patterns in medical images. - Ryohei Nakayama; Yoshikazu Uchiyama (Syst. Comput. Jpn., 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)

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 (Digital Mammography / IWDM, 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)

Evaluation of Objective Similarity Measures for Selecting Similar Images of Mammographic Lesions. - Ryohei Nakayama; Hiroyuki Abe; Junji Shiraishi; Kunio Doi (J. Digit. Imaging, 2011)

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 (SCIS&ISIS, 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)

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 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)

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 (Digital Mammography / IWDM, 2014)

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)

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)

BN-254 Based Multi-Core, Multi-Pairing Crypto-Processor for Functional Encryption. - Ryohei Nakayama; Makoto Ikeda (ISCAS, 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)

Hardware Acceleration of Aggregate Signature Generation and Authentication by BLS Signature over BLS12-381 curve. - Kaoru Masada; Ryohei Nakayama; Makoto Ikeda (COOL CHIPS, 2022)

Anomaly Detection for Lung CT Images Using SVDD-AE. - Zhihui Gao; Ryohei Nakayama; Akiyoshi Hizukuri; Kosuke Shibuya; Shoji Kido (GCCE, 2022)

Anomaly Detection for Lung CT image Using Efficient GAN with Learning Stabilizations. - Yuto Akita; Ryohei Nakayama; Akiyoshi Hizukuri; Shoji Kido (SCIS/ISIS, 2022)

Semantic Segmentation Method for Tooth Type with Data Augmentation Using Alpha-Blending. - Kosuke Shibuya; Kan Murata; Ryohei Nakayama; Akiyoshi Hizukuri (SCIS/ISIS, 2022)

Video Anomaly Detection Using Encoder-Decoder Networks with Video Vision Transformer and Channel Attention Blocks. - Shimpei Kobayashi; Akiyoshi Hizukuri; Ryohei Nakayama (MVA, 2023)

Semantic Face Segmentation Using Convolutional Neural Networks With a Supervised Attention Module. - Akiyoshi Hizukuri; Yuto Hirata; Ryohei Nakayama (IEEE Access, 2023)

High Speed ASIC Architectures for Aggregate Signature over BLS12-381. - Kaoru Masada; Ryohei Nakayama; Makoto Ikeda (IEICE Trans. Electron., 2023)

Computerized Classification Method for Molecular Subtypes of Low-Grade Gliomas on Brain MR Images Using Modified ArcFace With Gram-Schmidt Orthogonalization. - Akiyoshi Hizukuri; Daiki Tanaka; Ryohei Nakayama; Kaori Kusuda; Ken Masamune; Yoshihiro Muragaki (IEEE Access, 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., 2024)

Unsupervised Video Anomaly Detection Using Video Vision Transformer and Adversarial Training. - Shimpei Kobayashi; Akiyoshi Hizukuri; Ryohei Nakayama (IEEE Access, 2025)