福島県立医科大学 · 未分類

研究キーワードdeep learning・head computed tomography・amyloid PET・SPECT quantification・acute ischemic stroke・Alzheimer disease・hyperdense MCA sign・medical image reconstruction

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• A Wavelet-Based Two-Stage Vision Transformer Model for Histological Subtypes Classification of Lung Cancers on CT Images2025 · Eri Matsuyama, Haruyuki Watanabe, Noriyuki Takahashi
• Comparison of visual interpretation of [I-123] FP-CIT SPECT scans versus reference-based quantitative analysis utilizing a Japanese normal database2025 · Yamakuni, Ryoa; Ishii, Shiroa; Fukushima, Kenjia; Kakamu, Takeyasub; Yusa, Masanoric; Kikori, Katsuyukic; Yamao, Tenshod; Takahashi, Noriyukid; Sekino, Hirofumia; Itagaki, Shuntaroe; Miura, Itarue; Ito, Hiroshia
• Deep Learning-Driven Estimation of Centiloid Scales from Amyloid PET Images with 11C-PiB and 18F-Labeled Tracers in Alzheimer’s Disease2024 · Tensho Yamao, Kenta Miwa , Yuta Kaneko, Noriyuki Takahashi, Noriaki Miyaji, Koki Hasegawa , Kei Wagatsuma, Yuto Kamitaka, Hiroshi Ito and Hiroshi Matsuda
• Using Cross Entropy as a Performance Metric for Quantifying Uncertainty in DNN Image Classifiers: An Application to Classification of Lung Cancer on CT Images2024 · Eri Matsuyama, Masayuki Nishiki, Noriyuki Takahashi, Haruyuki Watanabe

• CT検査における多発脳動脈瘤を有するくも膜下出血の破裂瘤特定支援システムの開発

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