Otsuka Y - Search Results

1

Noise reduction by multiple path neural network using Attention mechanisms with an emphasis on robustness against Errors: A pilot study on brain Diffusion-Weighted images.

Tachibana Y, Otsuka Y, Nozaki H, Kamagata K, Mori S, Saito Y, Aoki S. Tachibana Y, et al. Among authors: otsuka y. Phys Med. 2023 Dec;116:103176. doi: 10.1016/j.ejmp.2023.103176. Epub 2023 Nov 21. Phys Med. 2023. PMID: 37989043 Free article.

2

Accuracy of skull stripping in a single-contrast convolutional neural network model using eight-contrast magnetic resonance images.

Goto M, Otsuka Y, Hagiwara A, Fujita S, Hori M, Kamagata K, Aoki S, Abe O, Sakamoto H, Sakano Y, Kyogoku S, Daida H. Goto M, et al. Among authors: otsuka y. Radiol Phys Technol. 2023 Sep;16(3):373-383. doi: 10.1007/s12194-023-00728-z. Epub 2023 Jun 8. Radiol Phys Technol. 2023. PMID: 37291372

3

Improving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image Translation.

Hagiwara A, Otsuka Y, Hori M, Tachibana Y, Yokoyama K, Fujita S, Andica C, Kamagata K, Irie R, Koshino S, Maekawa T, Chougar L, Wada A, Takemura MY, Hattori N, Aoki S. Hagiwara A, et al. Among authors: otsuka y. AJNR Am J Neuroradiol. 2019 Feb;40(2):224-230. doi: 10.3174/ajnr.A5927. Epub 2019 Jan 10. AJNR Am J Neuroradiol. 2019. PMID: 30630834 Free PMC article.

4

A Novel Deep Learning Approach with a 3D Convolutional Ladder Network for Differential Diagnosis of Idiopathic Normal Pressure Hydrocephalus and Alzheimer's Disease.

Irie R, Otsuka Y, Hagiwara A, Kamagata K, Kamiya K, Suzuki M, Wada A, Maekawa T, Fujita S, Kato S, Nakajima M, Miyajima M, Motoi Y, Abe O, Aoki S. Irie R, et al. Among authors: otsuka y. Magn Reson Med Sci. 2020 Dec 1;19(4):351-358. doi: 10.2463/mrms.mp.2019-0106. Epub 2020 Jan 22. Magn Reson Med Sci. 2020. PMID: 31969525 Free PMC article.

5

Differentiation between multiple sclerosis and neuromyelitis optica spectrum disorders by multiparametric quantitative MRI using convolutional neural network.

Hagiwara A, Otsuka Y, Andica C, Kato S, Yokoyama K, Hori M, Fujita S, Kamagata K, Hattori N, Aoki S. Hagiwara A, et al. Among authors: otsuka y. J Clin Neurosci. 2021 May;87:55-58. doi: 10.1016/j.jocn.2021.02.018. Epub 2021 Mar 11. J Clin Neurosci. 2021. PMID: 33863534 Free article.

6

Deep Learning Approach for Generating MRA Images From 3D Quantitative Synthetic MRI Without Additional Scans.

Fujita S, Hagiwara A, Otsuka Y, Hori M, Takei N, Hwang KP, Irie R, Andica C, Kamagata K, Akashi T, Kunishima Kumamaru K, Suzuki M, Wada A, Abe O, Aoki S. Fujita S, et al. Among authors: otsuka y. Invest Radiol. 2020 Apr;55(4):249-256. doi: 10.1097/RLI.0000000000000628. Invest Radiol. 2020. PMID: 31977603

7

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: otsuka y. 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.

8

Comparison of Brain Volume Measurements Made with 0.3- and 3-T MR Imaging.

Murata S, Hagiwara A, Kaga H, Someya Y, Nemoto K, Goto M, Kamagata K, Irie R, Hori M, Andica C, Wada A, Kumamaru KK, Shimoji K, Otsuka Y, Hoshito H, Tamura Y, Kawamori R, Watada H, Aoki S. Murata S, et al. Among authors: otsuka y. Magn Reson Med Sci. 2022 Jul 1;21(3):517-524. doi: 10.2463/mrms.tn.2020-0034. Epub 2021 Jul 22. Magn Reson Med Sci. 2022. PMID: 34305081 Free PMC article.

9

Development and Validation of a Modified Three-Dimensional U-Net Deep-Learning Model for Automated Detection of Lung Nodules on Chest CT Images From the Lung Image Database Consortium and Japanese Datasets.

Suzuki K, Otsuka Y, Nomura Y, Kumamaru KK, Kuwatsuru R, Aoki S. Suzuki K, et al. Among authors: otsuka y. Acad Radiol. 2022 Feb;29 Suppl 2:S11-S17. doi: 10.1016/j.acra.2020.07.030. Epub 2020 Aug 21. Acad Radiol. 2022. PMID: 32839096 Free article.

10

Diagnostic accuracy of 3D deep-learning-based fully automated estimation of patient-level minimum fractional flow reserve from coronary computed tomography angiography.

Kumamaru KK, Fujimoto S, Otsuka Y, Kawasaki T, Kawaguchi Y, Kato E, Takamura K, Aoshima C, Kamo Y, Kogure Y, Inage H, Daida H, Aoki S. Kumamaru KK, et al. Among authors: otsuka y. Eur Heart J Cardiovasc Imaging. 2020 Apr 1;21(4):437-445. doi: 10.1093/ehjci/jez160. Eur Heart J Cardiovasc Imaging. 2020. PMID: 31230076

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