Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI
2023 · Cancer Imaging · 24 citations
https://doi.org/10.1186/s40644-023-00595-2
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Koji Takumi
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h-index
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Koji Takumi is an academic researcher from Kagoshima University. The author has contributed to research in topics: MRI in cancer diagnosis & Radiomics and Machine Learning in Medical Imaging & Pancreatic and Hepatic Oncology Research. The author has an h-index of 21, co-authored 94 publications.
ORCID: 0000-0003-4067-2891Papers by this author
worksFeasibility of iodine concentration and extracellular volume fraction measurement derived from the equilibrium phase dual-energy CT for differentiating thymic epithelial tumors
2022 · Japanese Journal of Radiology · 11 citations
https://doi.org/10.1007/s11604-022-01331-9
Recent advances in theranostics and oncology PET: emerging radionuclides and targets
2025 · Annals of Nuclear Medicine · 11 citations
https://doi.org/10.1007/s12149-025-02090-z
Machine learning approach using 18F-FDG-PET-radiomic features and the visibility of right ventricle 18F-FDG uptake for predicting clinical events in patients with cardiac sarcoidosis
2024 · Japanese Journal of Radiology · 9 citations
https://doi.org/10.1007/s11604-024-01546-y
Multiparametric approach with synthetic MR imaging for diagnosing salivary gland lesions
2024 · Japanese Journal of Radiology · 6 citations
https://doi.org/10.1007/s11604-024-01578-4
Applying deep learning-based ensemble model to [18F]-FDG-PET-radiomic features for differentiating benign from malignant parotid gland diseases
2024 · Japanese Journal of Radiology · 5 citations
https://doi.org/10.1007/s11604-024-01649-6
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