Akiyoshi Hizukuri

15 papers Misc 1Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Unsupervised Video Anomaly Detection Using Video Vision Transformer and Adversarial Training. IEEE Access Shimpei Kobayashi, Akiyoshi Hizukuri, Ryohei Nakayama
2024	J	`jnl`	Computerized Classification Method for Molecular Subtypes of Low-Grade Gliomas on Brain MR Images Using Modified ArcFace With Gram-Schmidt Orthogonalization. IEEE Access Akiyoshi Hizukuri, Daiki Tanaka, Ryohei Nakayama, Kaori Kusuda, Ken Masamune, Yoshihiro Muragaki
2024	J	`jnl`	Computerized Segmentation Method for Nonmasses on Breast DCE-MRI Images Using ResUNet++ with Slice Sequence Learning and Cross-Phase Convolution. J. Imaging Inform. Medicine Akiyoshi Hizukuri, Ryohei Nakayama, Mariko Goto, Koji Sakai
2023	J	`jnl`	Semantic Face Segmentation Using Convolutional Neural Networks With a Supervised Attention Module. IEEE Access Akiyoshi Hizukuri, Yuto Hirata, Ryohei Nakayama
2023	Misc	`conf`	Video Anomaly Detection Using Encoder-Decoder Networks with Video Vision Transformer and Channel Attention Blocks. MVA Shimpei Kobayashi, Akiyoshi Hizukuri, Ryohei Nakayama
2022	—	`conf`	Anomaly Detection for Lung CT Images Using SVDD-AE. GCCE Zhihui Gao, Ryohei Nakayama, Akiyoshi Hizukuri, Kosuke Shibuya, Shoji Kido
2022	—	`conf`	Anomaly Detection for Lung CT image Using Efficient GAN with Learning Stabilizations. SCIS/ISIS Yuto Akita, Ryohei Nakayama, Akiyoshi Hizukuri, Shoji Kido
2022	—	`conf`	Semantic Segmentation Method for Tooth Type with Data Augmentation Using Alpha-Blending. SCIS/ISIS Kosuke Shibuya, Kan Murata, Ryohei Nakayama, Akiyoshi Hizukuri
2021	J	`jnl`	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 Akiyoshi Hizukuri, Ryohei Nakayama, Mayumi Nara, Megumi Suzuki, Kiyoshi Namba
2020	J	`jnl`	Improving Image Resolution of Whole-Heart Coronary MRA Using Convolutional Neural Network. J. Digit. Imaging Hiroki Kobayashi, Ryohei Nakayama, Akiyoshi Hizukuri, Masaki Ishida, Kakuya Kitagawa, Hajime Sakuma
2017	—	`conf`	Development of a classification method for a crack on a pavement surface images using machine learning. QCAV Akiyoshi Hizukuri, Takeshi Nagata
2013	J	`jnl`	Computerized Determination Scheme for Histological Classification of Breast Mass Using Objective Features Corresponding to Clinicians' Subjective Impressions on Ultrasonographic Images. J. Digit. Imaging Akiyoshi Hizukuri, Ryohei Nakayama, Yumi Kashikura, Haruhiko Takase, Hiroharu Kawanaka, Tomoko Ogawa, Shinji Tsuruoka
2012	J	`jnl`	Computer-Aided Detection Scheme for Sentinel Lymph Nodes in Lymphoscintigrams using Symmetrical Property Around Mapped Injection Point. J. Digit. Imaging Ryohei Nakayama, Akiyoshi Hizukuri, Koji Yamamoto, Nobuo Nakako, Naoki Nagasawa, Kan Takeda
2012	J	`jnl`	Computerized Segmentation Method for Individual Calcifications Within Clustered Microcalcifications While Maintaining Their Shapes on Magnification Mammograms. J. Digit. Imaging Akiyoshi Hizukuri, Ryohei Nakayama, Nobuo Nakako, Hiroharu Kawanaka, Haruhiko Takase, Koji Yamamoto, Shinji Tsuruoka
2012	—	`conf`	Computerized classification method for histological classifications of masses using objective features based on clinicians' subjective impressions. SCIS&ISIS Akiyoshi Hizukuri, Ryohei Nakayama, Yumi Kashikura, Hiroharu Kawanaka, Haruhiko Takase, Tomoko Ogawa, Shinji Tsuruoka