Akiyoshi Hizukuri

According to our database, Akiyoshi Hizukuri authored at least 12 papers between 2012 and 2023.

Collaborative distances:

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

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

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

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

2017

Development of a classification method for a crack on a pavement surface images using machine learning.

Akiyoshi Hizukuri, Takeshi Nagata

Proceedings of the Thirteenth International Conference on Quality Control by Artificial Vision, 2017

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