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)

Development of a classification method for a crack on a pavement surface images using machine learning. - Akiyoshi Hizukuri; Takeshi Nagata (QCAV, 2017)

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)

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)

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)

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)

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