研究キーワード (7件)：
人工知能
, 放射線治療
, 医用画像工学
, 画像処理
, Radiation Therapy
, Medical Image Processing
, Digital Image Processing
競争的資金等の研究課題 (5件)：
2020 - 2023 Toward New-Generation AI-Based CAD System: Development of Interpretable Deep Learning-Based CAD System for Breast Cancer Diagnosis Using Mammogram
2017 - 2020 Development of High-Accuracy Tumor Tracking Systems for Next-Generation Radiation Therapy Technology
2014 - 2017 ビッグデータからの論理抽出による乳房X線画像用次世代型CADシステムの開発
2015 - 2017 Toward the World's First Tumor-Following Radiation Therapy Technique: Development of High-Accuracy Tumor Tracking System
2014 - 2015 Toward the World's First Tumor-Following Radiation Therapy Technique: Development of High-Accuracy Tumor Tracking System
論文 (30件)：
Zhang Zhang, Xiaoyong Zhang, Taihei Mizuno, Kei Ichiji, Noriyasu Homma. Attention Optimization in AI-Aided Drowning Diagnosis Using Post-Mortem CT to Mitigate Overfitting with Limited Training Data. 2024 International Joint Conference on Neural Networks (IJCNN). 2024. 32. 1-6
Yuwen Zeng, Xiaoyong Zhang, Kei Ichiji, Noriyasu Homma. Integration of Classification and Segmentation for Computer-Aided Diagnosis System of Drowning. 2024 International Joint Conference on Neural Networks (IJCNN). 2024. 1-7
Yuwen Zeng, Xiaoyong Zhang, Jiaoyang Wang, Akihito Usui, Kei Ichiji, Ivo Bukovsky, Shuoyan Chou, Masato Funayama, Noriyasu Homma. Inconsistency between Human Observation and Deep Learning Models: Assessing Validity of Postmortem Computed Tomography Diagnosis of Drowning. Journal of imaging informatics in medicine (5-year IF = 4.2 ). 2024
Zhang Zhang, Xiaoyong Zhang, Kei Ichiji, Ivo Bukovský, Noriyasu Homma. How intra-source imbalanced datasets impact the performance of deep learning for COVID-19 diagnosis using chest X-ray images. Scientific Reports (2-year IF=3.8). 2023. 13. 1
Zhang Zhang, Xiaoyong Zhang, Jiaqi Chen, Yumi Takane, Satoru Yanagaki, Naoko Mori, Kei Ichiji, Katsuaki Kato, Mika Yanagaki, Akiko Ebata, et al. Risk Analysis of Breast Cancer by Using Bilateral Mammographic Density Differences: A Case-Control Study. The Tohoku Journal of Experimental Medicine (5-year IF=1.8). 2023. 261. 2. 139-150
2023/12 - IEEE Sendai section The Best Paper Prize, 2023 IEEE Sendai Section Reliability investigation of deep learning when using imbalanced chest X-ray image sources for COVID-19 detection
2023/04 - 日本ディープラーニング協会 DCON実行委員会 DCON 2023 Final list ディープラーニングによる画像解析を使った路面調査システム
2021/12 - IEEE Sendai section The Best Paper Prize, 2021 IEEE Sendai Section An Interpretable Deep Learning Method for Forensic Diagnosis of Drowning
2018/11 - 計測自動制御学会 システム・情報部門 2017年システム・情報部門 SSI優秀論文賞 Computer-Aided Diagnosis of Micro-Calcification Clusters in Mammograms Using an Adaptive GMM
2017/11 - IEEE Sendai Section The Best Paper Prize Classification of Benign and Malignant Masses in Mammogram by Using Deep Convolutional Neural Network
