Motion detection in old film sequences using adaptive Gaussian mixture model. - Xiaoyong Zhang 002; Masahide Abe; Masayuki Kawamata (ICIP, 2011)

Reduction of Computational Cost of POC-Based Methods for Displacement Estimation in Old Film Sequences. - Xiaoyong Zhang 002; Masahide Abe; Masayuki Kawamata (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2011)

Flicker Parameters Estimation in Old Film Sequences Containing Moving Objects. - Xiaoyong Zhang 002; Masahide Abe; Masayuki Kawamata (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2011)

Volume registration based on 3-D phase correlation for tumor motion estimation in 4-D CT. - Xiaoyong Zhang 002; Noriyasu Homma; Makoto Abe; Norihiro Sugita; Yoshihiro Takai; Yuichiro Narita; Makoto Yoshizawa (EMBC, 2013)

A Time-Varying Seasonal Autoregressive Model-Based Prediction of Respiratory Motion for Tumor following Radiotherapy. - Kei Ichiji; Noriyasu Homma; Masao Sakai; Yuichiro Narita; Yoshihiro Takai; Xiaoyong Zhang 002; Makoto Abe; Norihiro Sugita; Makoto Yoshizawa (Comput. Math. Methods Medicine, 2013)

A Faster 1-D Phase-Only Correlation-Based Method for Estimations of Translations, Rotation and Scaling in Images. - Xiaoyong Zhang 002; Noriyasu Homma; Kei Ichiji; Makoto Abe; Norihiro Sugita; Makoto Yoshizawa (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014)

A real-time feature-based markerless tumor tracking method using X-ray image sequence for radiotherapy. - Yusuke Yoshida; Kei Ichiji; Xiaoyong Zhang 002; Noriyasu Homma; Yoshihiro Takai; Makoto Yoshizawa (IWCIM, 2015)

Tumor motion tracking using kV/MV X-ray fluoroscopy for adaptive radiation therapy. - Xiaoyong Zhang 002; Noriyasu Homma; Kei Ichiji; Makoto Abe; Norihiro Sugita; Ivo Bukovsky; Yoshihiro Takai; Makoto Yoshizawa (IWCIM, 2015)

Human ability enhancement for reading mammographic masses by a deep learning technique. - Noriyasu Homma; Kyohei Noro; Xiaoyong Zhang 002; Yutaro Kon; Kei Ichiji; Ivo Bukovsky; Akiko Sato; Naoko Mori (BIBM, 2020)

A Deep Learning Aided Drowning Diagnosis for Forensic Investigations using Post-Mortem Lung CT Images. - Noriyasu Homma; Xiaoyong Zhang 002; Amber Qureshi; Takuya Konno; Yusuke Kawasumi; Akihito Usui; Masato Funayama; Ivo Bukovsky; Kei Ichiji; Norihiro Sugita; Makoto Yoshizawa (EMBC, 2020)

Deep CNN-Based Computer-Aided Diagnosis for Drowning Detection using Post-mortem Lungs CT Images. - Amber Habib Qureshi; Xiaoyong Zhang 002; Kei Ichiji; Yusuke Kawasumi; Akihito Usui; Masato Funayama; Noriyasu Homma (BIBM, 2021)

An Interpretable DL-Based Method for Diagnosis of H. Pylori Infection Using Gastric X-Ray Images. - Reima Ishii; Xiaoyong Zhang 002; Noriyasu Homma (LifeTech, 2021)

Deep Learning-Based Interpretable Computer-Aided Diagnosis of Drowning for Forensic Radiology. - Yuwen Zeng; Xiaoyong Zhang 002; Yusuke Kawasumi; Akihito Usui; Kei Ichiji; Masato Funayama; Noriyasu Homma (SICE, 2021)

Improved Tumor Image Estimation in X-Ray Fluoroscopic Images by Augmenting 4DCT Data for Radiotherapy. - Takumi Shinohara; Kei Ichiji; Jiaoyang Wang; Noriyasu Homma; Xiaoyong Zhang 002; Norihiro Sugita; Makoto Yoshizawa (J. Adv. Comput. Intell. Intell. Informatics, 2022)

How Different Data Sources Impact Deep Learning Performance in COVID-19 Diagnosis using Chest X-ray Images. - Zhang Zhang; Xiaoyong Zhang 002; Kei Ichiji; Ivo Bukovsky; Shuo-Yan Chou; Noriyasu Homma (IIAI-AAI, 2023)

A 2.5D Deep Learning-Based Method for Drowning Diagnosis Using Post-Mortem Computed Tomography. - Yuwen Zeng; Xiaoyong Zhang 002; Yusuke Kawasumi; Akihito Usui; Kei Ichiji; Masato Funayama; Noriyasu Homma (IEEE J. Biomed. Health Informatics, 2023)

Integration of Classification and Segmentation for Computer-Aided Diagnosis System of Drowning. - Yuwen Zeng; Xiaoyong Zhang 002; Kei Ichiji; Noriyasu Homma (IJCNN, 2024)

Attention Optimization in AI-Aided Drowning Diagnosis Using Post-Mortem CT to Mitigate Overfitting with Limited Training Data. - Zhang Zhang; Xiaoyong Zhang 002; Taihei Mizuno; Kei Ichiji; Noriyasu Homma (IJCNN, 2024)