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Convolutional neural network-based segmentation can help in assessing the substantia nigra in neuromelanin MRI.
Le Berre A, Kamagata K, Otsuka Y, Andica C, Hatano T, Saccenti L, Ogawa T, Takeshige-Amano H, Wada A, Suzuki M, Hagiwara A, Irie R, Hori M, Oyama G, Shimo Y, Umemura A, Hattori N, Aoki S. Le Berre A, et al. Among authors: suzuki m. Neuroradiology. 2019 Dec;61(12):1387-1395. doi: 10.1007/s00234-019-02279-w. Epub 2019 Aug 10. Neuroradiology. 2019. PMID: 31401723 Free PMC article.
Automation of a Rule-based Workflow to Estimate Age from Brain MR Imaging of Infants and Children Up to 2 Years Old Using Stacked Deep Learning.
Wada A, Saito Y, Fujita S, Irie R, Akashi T, Sano K, Kato S, Ikenouchi Y, Hagiwara A, Sato K, Tomizawa N, Hayakawa Y, Kikuta J, Kamagata K, Suzuki M, Hori M, Nakanishi A, Aoki S. Wada A, et al. Among authors: suzuki m. Magn Reson Med Sci. 2023 Jan 1;22(1):57-66. doi: 10.2463/mrms.mp.2021-0068. Epub 2021 Dec 10. Magn Reson Med Sci. 2023. PMID: 34897147 Free PMC article.
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