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ORCIDAkiyoshi Hizukuri
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Journal Articles
- 2023
[j6]Akiyoshi Hizukuri
, Yuto Hirata, Ryohei Nakayama:
Semantic Face Segmentation Using Convolutional Neural Networks With a Supervised Attention Module. IEEE Access 11: 116892-116902 (2023)- 2021
- [j5]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) - 2020
- [j4]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) - 2013
- [j3]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
- [j2]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) - [j1]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)
Conference and Workshop Papers
- 2023
- [c6]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
- [c5]Zhihui Gao, Ryohei Nakayama, Akiyoshi Hizukuri, Kosuke Shibuya, Shoji Kido:
Anomaly Detection for Lung CT Images Using SVDD-AE. GCCE 2022: 734-735 - [c4]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 - [c3]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 - 2017
- [c2]Akiyoshi Hizukuri, Takeshi Nagata:
Development of a classification method for a crack on a pavement surface images using machine learning. QCAV 2017: 103380M - 2012
- [c1]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
Coauthor Index
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