Arimura H - Search Results

1

Stratification of prostate cancer patients into low- and high-grade groups using multiparametric magnetic resonance radiomics with dynamic contrast-enhanced image joint histograms.

Urakami A, Arimura H, Takayama Y, Kinoshita F, Ninomiya K, Imada K, Watanabe S, Nishie A, Oda Y, Ishigami K. Urakami A, et al. Among authors: arimura h. Prostate. 2022 Feb;82(3):330-344. doi: 10.1002/pros.24278. Epub 2021 Dec 8. Prostate. 2022. PMID: 35014713

2

Homological radiomics analysis for prognostic prediction in lung cancer patients.

Ninomiya K, Arimura H. Ninomiya K, et al. Among authors: arimura h. Phys Med. 2020 Jan;69:90-100. doi: 10.1016/j.ejmp.2019.11.026. Epub 2019 Dec 16. Phys Med. 2020. PMID: 31855844 Free article.

3

Automated approach for estimation of grade groups for prostate cancer based on histological image feature analysis.

Hossain A, Arimura H, Kinoshita F, Ninomiya K, Watanabe S, Imada K, Koyanagi R, Oda Y. Hossain A, et al. Among authors: arimura h. Prostate. 2020 Feb;80(3):291-302. doi: 10.1002/pros.23943. Epub 2019 Dec 23. Prostate. 2020. PMID: 31868968

4

Potentials of radiomics for cancer diagnosis and treatment in comparison with computer-aided diagnosis.

Arimura H, Soufi M, Ninomiya K, Kamezawa H, Yamada M. Arimura H, et al. Radiol Phys Technol. 2018 Dec;11(4):365-374. doi: 10.1007/s12194-018-0486-x. Epub 2018 Oct 29. Radiol Phys Technol. 2018. PMID: 30374837 Review.

5

[6. Imaging Biopsy for Assisting Cancer Precision Therapy -Information Extracted from Radiomics].

Arimura H, Kodama T, Urakami A, Kamezawa H, Hirose TA, Ninomiya K. Arimura H, et al. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2022;78(2):219-224. doi: 10.6009/jjrt.780213. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2022. PMID: 35185102 Free article. Japanese. No abstract available.

6

Feasibility of anatomical feature points for the estimation of prostate locations in the Bayesian delineation frameworks for prostate cancer radiotherapy.

Ninomiya K, Arimura H, Sasahara M, Kai Y, Hirose TA, Ohga S. Ninomiya K, et al. Among authors: arimura h. Radiol Phys Technol. 2018 Dec;11(4):434-444. doi: 10.1007/s12194-018-0481-2. Epub 2018 Sep 28. Radiol Phys Technol. 2018. PMID: 30267211

7

Semi-automated prediction approach of target shifts using machine learning with anatomical features between planning and pretreatment CT images in prostate radiotherapy.

Kai Y, Arimura H, Ninomiya K, Saito T, Shimohigashi Y, Kuraoka A, Maruyama M, Toya R, Oya N. Kai Y, et al. Among authors: arimura h. J Radiat Res. 2020 Mar 23;61(2):285-297. doi: 10.1093/jrr/rrz105. J Radiat Res. 2020. PMID: 31994702 Free PMC article.

8

Radiomic prediction of radiation pneumonitis on pretreatment planning computed tomography images prior to lung cancer stereotactic body radiation therapy.

Hirose TA, Arimura H, Ninomiya K, Yoshitake T, Fukunaga JI, Shioyama Y. Hirose TA, et al. Among authors: arimura h. Sci Rep. 2020 Nov 24;10(1):20424. doi: 10.1038/s41598-020-77552-7. Sci Rep. 2020. PMID: 33235324 Free PMC article.

9

Radiomic features based on Hessian index for prediction of prognosis in head-and-neck cancer patients.

Le QC, Arimura H, Ninomiya K, Kabata Y. Le QC, et al. Among authors: arimura h. Sci Rep. 2020 Dec 4;10(1):21301. doi: 10.1038/s41598-020-78338-7. Sci Rep. 2020. PMID: 33277570 Free PMC article.

10

Robust radiogenomics approach to the identification of EGFR mutations among patients with NSCLC from three different countries using topologically invariant Betti numbers.

Ninomiya K, Arimura H, Chan WY, Tanaka K, Mizuno S, Muhammad Gowdh NF, Yaakup NA, Liam CK, Chai CS, Ng KH. Ninomiya K, et al. Among authors: arimura h. PLoS One. 2021 Jan 11;16(1):e0244354. doi: 10.1371/journal.pone.0244354. eCollection 2021. PLoS One. 2021. PMID: 33428651 Free PMC article.

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