Miyake J - Search Results

1

Diagnostic performance for pulmonary adenocarcinoma on CT: comparison of radiologists with and without three-dimensional convolutional neural network.

Yanagawa M, Niioka H, Kusumoto M, Awai K, Tsubamoto M, Satoh Y, Miyata T, Yoshida Y, Kikuchi N, Hata A, Yamasaki S, Kido S, Nagahara H, Miyake J, Tomiyama N. Yanagawa M, et al. Among authors: miyake j. Eur Radiol. 2021 Apr;31(4):1978-1986. doi: 10.1007/s00330-020-07339-x. Epub 2020 Oct 4. Eur Radiol. 2021. PMID: 33011879

2

Application of deep learning (3-dimensional convolutional neural network) for the prediction of pathological invasiveness in lung adenocarcinoma: A preliminary study.

Yanagawa M, Niioka H, Hata A, Kikuchi N, Honda O, Kurakami H, Morii E, Noguchi M, Watanabe Y, Miyake J, Tomiyama N. Yanagawa M, et al. Among authors: miyake j. Medicine (Baltimore). 2019 Jun;98(25):e16119. doi: 10.1097/MD.0000000000016119. Medicine (Baltimore). 2019. PMID: 31232960 Free PMC article.

3

Classification of C2C12 cells at differentiation by convolutional neural network of deep learning using phase contrast images.

Niioka H, Asatani S, Yoshimura A, Ohigashi H, Tagawa S, Miyake J. Niioka H, et al. Among authors: miyake j. Hum Cell. 2018 Jan;31(1):87-93. doi: 10.1007/s13577-017-0191-9. Epub 2017 Dec 13. Hum Cell. 2018. PMID: 29235053

4

Convolutional Neural Network Can Recognize Drug Resistance of Single Cancer Cells.

Yanagisawa K, Toratani M, Asai A, Konno M, Niioka H, Mizushima T, Satoh T, Miyake J, Ogawa K, Vecchione A, Doki Y, Eguchi H, Ishii H. Yanagisawa K, et al. Among authors: miyake j. Int J Mol Sci. 2020 Apr 30;21(9):3166. doi: 10.3390/ijms21093166. Int J Mol Sci. 2020. PMID: 32365822 Free PMC article.

5

Deep-UV excitation fluorescence microscopy for detection of lymph node metastasis using deep neural network.

Matsumoto T, Niioka H, Kumamoto Y, Sato J, Inamori O, Nakao R, Harada Y, Konishi E, Otsuji E, Tanaka H, Miyake J, Takamatsu T. Matsumoto T, et al. Among authors: miyake j. Sci Rep. 2019 Nov 15;9(1):16912. doi: 10.1038/s41598-019-53405-w. Sci Rep. 2019. PMID: 31729459 Free PMC article.

6

Nerve Segmentation with Deep Learning from Label-Free Endoscopic Images Obtained Using Coherent Anti-Stokes Raman Scattering.

Yamato N, Matsuya M, Niioka H, Miyake J, Hashimoto M. Yamato N, et al. Among authors: miyake j. Biomolecules. 2020 Jul 8;10(7):1012. doi: 10.3390/biom10071012. Biomolecules. 2020. PMID: 32650539 Free PMC article.

7

Improvement of nerve imaging speed with coherent anti-Stokes Raman scattering rigid endoscope using deep-learning noise reduction.

Yamato N, Niioka H, Miyake J, Hashimoto M. Yamato N, et al. Among authors: miyake j. Sci Rep. 2020 Sep 16;10(1):15212. doi: 10.1038/s41598-020-72241-x. Sci Rep. 2020. PMID: 32938980 Free PMC article.

8

Author Correction: Improvement of nerve imaging speed with coherent anti-Stokes Raman scattering rigid endoscope using deep-learning noise reduction.

Yamato N, Niioka H, Miyake J, Hashimoto M. Yamato N, et al. Among authors: miyake j. Sci Rep. 2021 Jan 21;11(1):2362. doi: 10.1038/s41598-020-80630-5. Sci Rep. 2021. PMID: 33479317 Free PMC article. No abstract available.

9

Automated diagnosis of optical coherence tomography imaging on plaque vulnerability and its relation to clinical outcomes in coronary artery disease.

Niioka H, Kume T, Kubo T, Soeda T, Watanabe M, Yamada R, Sakata Y, Miyamoto Y, Wang B, Nagahara H, Miyake J, Akasaka T, Saito Y, Uemura S. Niioka H, et al. Among authors: miyake j. Sci Rep. 2022 Aug 18;12(1):14067. doi: 10.1038/s41598-022-18473-5. Sci Rep. 2022. PMID: 35982217 Free PMC article.

10

[Medical Application of Artificial Intelligence/Deep Learning].

Miyake J, Ohigashi H, Niioka H, Kaechang P. Miyake J, et al. Brain Nerve. 2019 Jan;71(1):5-14. doi: 10.11477/mf.1416201211. Brain Nerve. 2019. PMID: 30630125 Japanese.

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