Mizuho Nishio - Search Results

Year	Number of Results
2011	4
2012	5
2013	6
2014	13
2015	5
2016	2
2017	4
2018	6
2019	8
2020	11
2021	8
2022	7
2023	9
2024	4

1

Artificial intelligence-based differential diagnosis of orbital MALT lymphoma and IgG4 related ophthalmic disease using hematoxylin-eosin images.

Tagami M, Nishio M, Yoshikawa A, Misawa N, Sakai A, Haruna Y, Tomita M, Azumi A, Honda S. Tagami M, et al. Among authors: nishio m. Graefes Arch Clin Exp Ophthalmol. 2024 May 3. doi: 10.1007/s00417-024-06501-1. Online ahead of print. Graefes Arch Clin Exp Ophthalmol. 2024. PMID: 38700592

2

Development and web deployment of prediction model for pulmonary arterial pressure in chronic thromboembolic pulmonary hypertension using machine learning.

Matsunaga T, Kono A, Nishio M, Yoshii T, Matsuo H, Takahashi M, Takahashi T, Taniguchi Y, Tanaka H, Hirata K, Murakami T. Matsunaga T, et al. Among authors: nishio m. PLoS One. 2024 Apr 5;19(4):e0300716. doi: 10.1371/journal.pone.0300716. eCollection 2024. PLoS One. 2024. PMID: 38578764 Free PMC article.

3

Stromal area differences with epithelial-mesenchymal transition gene changes in conjunctival and orbital mucosa-associated lymphoid tissue lymphoma.

Tagami M, Kasashima H, Kakehashi A, Yoshikawa A, Nishio M, Misawa N, Sakai A, Wanibuchi H, Yashiro M, Azumi A, Honda S. Tagami M, et al. Among authors: nishio m. Front Oncol. 2024 Jan 23;14:1277749. doi: 10.3389/fonc.2024.1277749. eCollection 2024. Front Oncol. 2024. PMID: 38322414 Free PMC article.

4

Development of Pericardial Fat Count Images Using a Combination of Three Different Deep-Learning Models: Image Translation Model From Chest Radiograph Image to Projection Image of Three-Dimensional Computed Tomography.

Matsunaga T, Kono A, Matsuo H, Kitagawa K, Nishio M, Hashimura H, Izawa Y, Toba T, Ishikawa K, Katsuki A, Ohmura K, Murakami T. Matsunaga T, et al. Among authors: nishio m. Acad Radiol. 2024 Mar;31(3):822-829. doi: 10.1016/j.acra.2023.09.014. Epub 2023 Oct 30. Acad Radiol. 2024. PMID: 37914626

5

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. 2023 Oct 26. doi: 10.1007/s00330-023-10310-1. Online ahead of print. Eur Radiol. 2023. PMID: 37882835

6

Comparison between pystan and numpyro in Bayesian item response theory: evaluation of agreement of estimated latent parameters and sampling performance.

Nishio M, Ota E, Matsuo H, Matsunaga T, Miyazaki A, Murakami T. Nishio M, et al. PeerJ Comput Sci. 2023 Oct 5;9:e1620. doi: 10.7717/peerj-cs.1620. eCollection 2023. PeerJ Comput Sci. 2023. PMID: 37869462 Free PMC article.

7

Computer-aided diagnosis of chest X-ray for COVID-19 diagnosis in external validation study by radiologists with and without deep learning system.

Miyazaki A, Ikejima K, Nishio M, Yabuta M, Matsuo H, Onoue K, Matsunaga T, Nishioka E, Kono A, Yamada D, Oba K, Ishikura R, Murakami T. Miyazaki A, et al. Among authors: nishio m. Sci Rep. 2023 Oct 16;13(1):17533. doi: 10.1038/s41598-023-44818-9. Sci Rep. 2023. PMID: 37845348 Free PMC article.

8

Machine Learning Model with Texture Analysis for Automatic Classification of Histopathological Images of Ocular Adnexal Mucosa-associated Lymphoid Tissue Lymphoma of Two Different Origins.

Tagami M, Nishio M, Katsuyama-Yoshikawa A, Misawa N, Sakai A, Haruna Y, Azumi A, Honda S. Tagami M, et al. Among authors: nishio m. Curr Eye Res. 2023 Dec;48(12):1195-1202. doi: 10.1080/02713683.2023.2246696. Epub 2023 Aug 23. Curr Eye Res. 2023. PMID: 37566457

9

Label Distribution Learning for Automatic Cancer Grading of Histopathological Images of Prostate Cancer.

Nishio M, Matsuo H, Kurata Y, Sugiyama O, Fujimoto K. Nishio M, et al. Cancers (Basel). 2023 Feb 28;15(5):1535. doi: 10.3390/cancers15051535. Cancers (Basel). 2023. PMID: 36900325 Free PMC article.

10

Automatic segmentation of bladder cancer on MRI using a convolutional neural network and reproducibility of radiomics features: a two-center study.

Moribata Y, Kurata Y, Nishio M, Kido A, Otani S, Himoto Y, Nishio N, Furuta A, Onishi H, Masui K, Kobayashi T, Nakamoto Y. Moribata Y, et al. Among authors: nishio m. Sci Rep. 2023 Jan 12;13(1):628. doi: 10.1038/s41598-023-27883-y. Sci Rep. 2023. PMID: 36635425 Free PMC article.

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