Onishi Y - Search Results

1

Unbiased TOF estimation using leading-edge discriminator and convolutional neural network trained by single-source-position waveforms.

Onishi Y, Hashimoto F, Ote K, Ota R. Onishi Y, et al. Phys Med Biol. 2022 Feb 11;67(4). doi: 10.1088/1361-6560/ac508f. Phys Med Biol. 2022. PMID: 35100575

2

Anatomical-guided attention enhances unsupervised PET image denoising performance.

Onishi Y, Hashimoto F, Ote K, Ohba H, Ota R, Yoshikawa E, Ouchi Y. Onishi Y, et al. Med Image Anal. 2021 Dec;74:102226. doi: 10.1016/j.media.2021.102226. Epub 2021 Sep 7. Med Image Anal. 2021. PMID: 34563861

3

Performance evaluation of dedicated brain PET scanner with motion correction system.

Onishi Y, Isobe T, Ito M, Hashimoto F, Omura T, Yoshikawa E. Onishi Y, et al. Ann Nucl Med. 2022 Aug;36(8):746-755. doi: 10.1007/s12149-022-01757-1. Epub 2022 Jun 13. Ann Nucl Med. 2022. PMID: 35698016

4

Fully 3D implementation of the end-to-end deep image prior-based PET image reconstruction using block iterative algorithm.

Hashimoto F, Onishi Y, Ote K, Tashima H, Yamaya T. Hashimoto F, et al. Among authors: onishi y. Phys Med Biol. 2023 Jul 21;68(15). doi: 10.1088/1361-6560/ace49c. Phys Med Biol. 2023. PMID: 37406637

5

Deep learning-based PET image denoising and reconstruction: a review.

Hashimoto F, Onishi Y, Ote K, Tashima H, Reader AJ, Yamaya T. Hashimoto F, et al. Among authors: onishi y. Radiol Phys Technol. 2024 Mar;17(1):24-46. doi: 10.1007/s12194-024-00780-3. Epub 2024 Feb 6. Radiol Phys Technol. 2024. PMID: 38319563 Free PMC article. Review.

6

Correction to: Deep learning-based PET image denoising and reconstruction: a review.

Hashimoto F, Onishi Y, Ote K, Tashima H, Reader AJ, Yamaya T. Hashimoto F, et al. Among authors: onishi y. Radiol Phys Technol. 2024 Mar 16. doi: 10.1007/s12194-024-00794-x. Online ahead of print. Radiol Phys Technol. 2024. PMID: 38492204 No abstract available.

7

Automated Pulmonary Nodule Classification in Computed Tomography Images Using a Deep Convolutional Neural Network Trained by Generative Adversarial Networks.

Onishi Y, Teramoto A, Tsujimoto M, Tsukamoto T, Saito K, Toyama H, Imaizumi K, Fujita H. Onishi Y, et al. Biomed Res Int. 2019 Jan 2;2019:6051939. doi: 10.1155/2019/6051939. eCollection 2019. Biomed Res Int. 2019. PMID: 30719445 Free PMC article.

8

Investigation of pulmonary nodule classification using multi-scale residual network enhanced with 3DGAN-synthesized volumes.

Onishi Y, Teramoto A, Tsujimoto M, Tsukamoto T, Saito K, Toyama H, Imaizumi K, Fujita H. Onishi Y, et al. Radiol Phys Technol. 2020 Jun;13(2):160-169. doi: 10.1007/s12194-020-00564-5. Epub 2020 May 1. Radiol Phys Technol. 2020. PMID: 32358643

9

Neural substrates of cough control during coughing.

Sugi T, Inubushi T, Ohno T, Onishi Y, Isobe T, Shigematsu T, Hanai S, Okada Y, Takahashi R, Tawara Y, Suzuki C, Kanno T, Magata Y, Fujishima I, Yoshikawa E, Ouchi Y. Sugi T, et al. Among authors: onishi y. Sci Rep. 2024 Jan 8;14(1):758. doi: 10.1038/s41598-024-51477-x. Sci Rep. 2024. PMID: 38191647 Free PMC article.

10

Multiplanar analysis for pulmonary nodule classification in CT images using deep convolutional neural network and generative adversarial networks.

Onishi Y, Teramoto A, Tsujimoto M, Tsukamoto T, Saito K, Toyama H, Imaizumi K, Fujita H. Onishi Y, et al. Int J Comput Assist Radiol Surg. 2020 Jan;15(1):173-178. doi: 10.1007/s11548-019-02092-z. Epub 2019 Nov 16. Int J Comput Assist Radiol Surg. 2020. PMID: 31732864

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