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ORCIDRyohei Nakayama
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2020 – today
- 2024
[j13]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): 691-699 (2024)- 2023
- [j12]Akiyoshi Hizukuri, Yuto Hirata, Ryohei Nakayama:
Semantic Face Segmentation Using Convolutional Neural Networks With a Supervised Attention Module. IEEE Access 11: 116892-116902 (2023) - [j11]Kaoru Masada, Ryohei Nakayama, Makoto Ikeda:
High Speed ASIC Architectures for Aggregate Signature over BLS12-381. IEICE Trans. Electron. 106(6): 331-334 (2023) - [c10]Shimpei Kobayashi, Akiyoshi Hizukuri, Ryohei Nakayama:
Video Anomaly Detection Using Encoder-Decoder Networks with Video Vision Transformer and Channel Attention Blocks. MVA 2023: 1-4 - 2022
- [c9]Kaoru Masada, Ryohei Nakayama, Makoto Ikeda:
Hardware Acceleration of Aggregate Signature Generation and Authentication by BLS Signature over BLS12-381 curve. COOL CHIPS 2022: 1-3 - [c8]Zhihui Gao, Ryohei Nakayama, Akiyoshi Hizukuri, Kosuke Shibuya, Shoji Kido:
Anomaly Detection for Lung CT Images Using SVDD-AE. GCCE 2022: 734-735 - [c7]Yuto Akita, Ryohei Nakayama, Akiyoshi Hizukuri, Shoji Kido:
Anomaly Detection for Lung CT image Using Efficient GAN with Learning Stabilizations. SCIS/ISIS 2022: 1-2 - [c6]Kosuke Shibuya, Kan Murata, Ryohei Nakayama, Akiyoshi Hizukuri:
Semantic Segmentation Method for Tooth Type with Data Augmentation Using Alpha-Blending. SCIS/ISIS 2022: 1-2 - 2021
- [j10]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): 116-123 (2021) - [c5]Ryohei Nakayama, Makoto Ikeda:
BN-254 Based Multi-Core, Multi-Pairing Crypto-Processor for Functional Encryption. ISCAS 2021: 1-5 - 2020
- [j9]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): 497-503 (2020)
2010 – 2019
- 2016
- [j8]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): 388-393 (2016) - 2014
- [c4]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: 115-120 - 2013
- [j7]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): 958-970 (2013) - 2012
- [j6]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): 148-154 (2012) - [j5]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): 377-386 (2012) - [c3]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: 550-555 - 2011
- [j4]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): 75-85 (2011)
2000 – 2009
- 2006
- [j3]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): 273-283 (2006) - [c2]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: 229-236 - 2005
- [j2]Ryohei Nakayama, Yoshikazu Uchiyama, Koji Yamamoto, Ryoji Watanabe, Kiyoshi Namba:
Detection of clustered microcalcifications on mammograms using new filter bank. Syst. Comput. Jpn. 36(5): 68-79 (2005) - [j1]Ryohei Nakayama, Yoshikazu Uchiyama:
Development of new filter bank for detection of nodular patterns and linear patterns in medical images. Syst. Comput. Jpn. 36(13): 81-91 (2005) - 2001
- [c1]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: 148
Coauthor Index
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