Kaji S - Search Results

1

Assessment of dysplasia in bone marrow smear with convolutional neural network.

Mori J, Kaji S, Kawai H, Kida S, Tsubokura M, Fukatsu M, Harada K, Noji H, Ikezoe T, Maeda T, Matsuda A. Mori J, et al. Among authors: kaji s. Sci Rep. 2020 Sep 7;10(1):14734. doi: 10.1038/s41598-020-71752-x. Sci Rep. 2020. PMID: 32895431 Free PMC article.

2

Overview of image-to-image translation by use of deep neural networks: denoising, super-resolution, modality conversion, and reconstruction in medical imaging.

Kaji S, Kida S. Kaji S, et al. Radiol Phys Technol. 2019 Sep;12(3):235-248. doi: 10.1007/s12194-019-00520-y. Epub 2019 Jun 20. Radiol Phys Technol. 2019. PMID: 31222562 Review.

3

Visual enhancement of Cone-beam CT by use of CycleGAN.

Kida S, Kaji S, Nawa K, Imae T, Nakamoto T, Ozaki S, Ohta T, Nozawa Y, Nakagawa K. Kida S, et al. Among authors: kaji s. Med Phys. 2020 Mar;47(3):998-1010. doi: 10.1002/mp.13963. Epub 2020 Jan 3. Med Phys. 2020. PMID: 31840269

4

[Improvement in Image Quality of CBCT during Treatment by Cycle Generative Adversarial Network].

Imae T, Kaji S, Kida S, Matsuda K, Takenaka S, Aoki A, Nakamoto T, Ozaki S, Nawa K, Yamashita H, Nakagawa K, Abe O. Imae T, et al. Among authors: kaji s. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2020;76(11):1173-1184. doi: 10.6009/jjrt.2020_JSRT_76.11.1173. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2020. PMID: 33229847 Free article. Japanese.

5

[Recent Review Articles in Radiological Physics and Technology].

Kaji S, Kida S, Fujita H. Kaji S, et al. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2020;76(11):1207-1210. doi: 10.6009/jjrt.2020_JSRT_76.11.1207. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2020. PMID: 33229851 Free article. Japanese. No abstract available.

6

[Overview of image-to-image translation by use of deep neural networks: Denoising, super-resolution, modality conversion, and reconstruction in medical imaging].

Kaji S, Kida S. Kaji S, et al. Igaku Butsuri. 2020;40(4):139. doi: 10.11323/jjmp.40.4_139. Igaku Butsuri. 2020. PMID: 33390379 Free article. Review. Japanese. No abstract available.

7

Kernel Conversion for Robust Quantitative Measurements of Archived Chest Computed Tomography Using Deep Learning-Based Image-to-Image Translation.

Tanabe N, Kaji S, Shima H, Shiraishi Y, Maetani T, Oguma T, Sato S, Hirai T. Tanabe N, et al. Among authors: kaji s. Front Artif Intell. 2022 Jan 17;4:769557. doi: 10.3389/frai.2021.769557. eCollection 2021. Front Artif Intell. 2022. PMID: 35112080 Free PMC article.

8

Training of deep cross-modality conversion models with a small data set, and their application in megavoltage CT to kilovoltage CT conversion.

Ozaki S, Kaji S, Nawa K, Imae T, Aoki A, Nakamoto T, Ohta T, Nozawa Y, Yamashita H, Haga A, Nakagawa K. Ozaki S, et al. Among authors: kaji s. Med Phys. 2022 Jun;49(6):3769-3782. doi: 10.1002/mp.15626. Epub 2022 Apr 17. Med Phys. 2022. PMID: 35315529

9

Unsupervised method for representation transfer from one brain to another.

Nakamura D, Kaji S, Kanai R, Hayashi R. Nakamura D, et al. Among authors: kaji s. Front Neuroinform. 2024 Nov 28;18:1470845. doi: 10.3389/fninf.2024.1470845. eCollection 2024. Front Neuroinform. 2024. PMID: 39669979 Free PMC article.

10

A homological approach to a mathematical definition of pulmonary fibrosis and emphysema on computed tomography.

Tanabe N, Kaji S, Sato S, Yokoyama T, Oguma T, Tanizawa K, Handa T, Sakajo T, Hirai T. Tanabe N, et al. Among authors: kaji s. J Appl Physiol (1985). 2021 Aug 1;131(2):601-612. doi: 10.1152/japplphysiol.00150.2021. Epub 2021 Jun 17. J Appl Physiol (1985). 2021. PMID: 34138650 Free article.

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