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Nodal infiltration in endometrial cancer: a prediction model using best subset regression.
Matsumoto YK, Himoto Y, Nishio M, Kikkawa N, Otani S, Ito K, Yamanoi K, Kato T, Fujimoto K, Kurata Y, Moribata Y, Yoshida H, Minamiguchi S, Mandai M, Kido A, Nakamoto Y. Matsumoto YK, et al. Among authors: nishio m. Eur Radiol. 2024 May;34(5):3375-3384. doi: 10.1007/s00330-023-10310-1. Epub 2023 Oct 26. Eur Radiol. 2024. PMID: 37882835
Comparison of the utility of whole-body MRI with and without contrast-enhanced Quick 3D and double RF fat suppression techniques, conventional whole-body MRI, PET/CT and conventional examination for assessment of recurrence in NSCLC patients.
Ohno Y, Nishio M, Koyama H, Yoshikawa T, Matsumoto S, Takenaka D, Seki S, Tsubakimoto M, Sugimura K. Ohno Y, et al. Among authors: nishio m. Eur J Radiol. 2013 Nov;82(11):2018-27. doi: 10.1016/j.ejrad.2013.07.016. Epub 2013 Sep 5. Eur J Radiol. 2013. PMID: 24012452
Automatic inference model construction for computer-aided diagnosis of lung nodule: Explanation adequacy, inference accuracy, and experts' knowledge.
Kawagishi M, Kubo T, Sakamoto R, Yakami M, Fujimoto K, Aoyama G, Emoto Y, Sekiguchi H, Sakai K, Iizuka Y, Nishio M, Yamamoto H, Togashi K. Kawagishi M, et al. Among authors: nishio m. PLoS One. 2018 Nov 16;13(11):e0207661. doi: 10.1371/journal.pone.0207661. eCollection 2018. PLoS One. 2018. PMID: 30444907 Free PMC article.
1,470 results