Tohoku University · Faculty of Medicine / Graduate School of Medical Sciences · 講師

Research keywordspost-mortem CT・drowning diagnosis・deep learning radiology・mammographic microcalcifications・hepatocellular carcinoma imaging・macrovascular invasion prediction・tumor motion prediction・markerless tumor tracking・fluoroscopic imaging・phase-only correlation

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• Adaptive Gaussian Mixture Model-Based Statistical Feature Extraction for Computer-Aided Diagnosis of Micro-Calcification Clusters in MammogramsZhang Zhang, Xiaoyong Zhang, Kei Ichiji, Yumi Takane, Satoru Yanagaki, Yusuke Kawasumi, Tadashi Ishibashi, Noriyasu Homma
• Transformer-based Deep Learning Models with Shape Guidance for Predicting Breast Cancer in Mammography Images.Kengo Takahashi, Yuwen Zeng, Zhang Zhang, Kei Ichiji, Takuma Usuzaki, Ryusei Inamori, Haoyang Liu, Noriyasu Homma
• A 2.5D Deep Learning-Based Method for Drowning Diagnosis Using Post-Mortem Computed TomographyYuwen Zeng, Xiaoyong Zhang, Yusuke Kawasumi, Akihito Usui, Kei Ichiji, Masato Funayama, Noriyasu Homma
• Adaptive region-oriented masked vision retentive network for predicting macrovascular invasion in hepatocellular carcinomaKengo Takahashi, Ryusei Inamori, Kei Ichiji, Zhang Zhang, Zeng Yuwen, Noriyasu Homma

• Radiomics技術を用いてCT画像のみから肺機能画像を作成する手法の開発角谷 倫之, 市地 慶, 神宮 啓一, 山本 貴也
• 呼吸性配置変動の予測に基づくリアルタイム適応放射線治療に関する研究市地 慶
• 深層強化学習による真の“人工知能型”自動放射線照射計画法の開発角谷 倫之, 山本 貴也, 梶川 智博, 市地 慶
• PET検査の体動補正技術評価に向けた新たなシステム開発小田桐 逸人, 渡部 浩司, 高浪 健太郎, 市地 慶

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