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Items: 1 to 20 of 57

1.

[2. How to Make Your Research Plans].

Arimura H.

Nihon Hoshasen Gijutsu Gakkai Zasshi. 2019;75(6):580-582. doi: 10.6009/jjrt.2019_JSRT_75.6.580. Japanese. No abstract available.

2.

[Basics of Deformable Image Registration in Radiation Therapy].

Arimura H.

Igaku Butsuri. 2019;39(1):2-6. doi: 10.11323/jjmp.39.1_2. Japanese. No abstract available.

3.

[Special Issue on Deformable Image Registration in Radiation Therapy].

Arimura H.

Igaku Butsuri. 2019;39(1):1. doi: 10.11323/jjmp.39.1_1. Japanese. No abstract available.

4.

Comparison of volumetric-modulated arc therapy and intensity-modulated radiation therapy prostate cancer plans accounting for cold spots.

Nguyen TTT, Arimura H, Asamura R, Hirose TA, Ohga S, Fukunaga JI.

Radiol Phys Technol. 2019 Jun;12(2):137-148. doi: 10.1007/s12194-019-00502-0. Epub 2019 Feb 25.

PMID:
30805779
5.

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

Arimura H, Soufi M, Ninomiya K, Kamezawa H, Yamada M.

Radiol Phys Technol. 2018 Dec;11(4):365-374. doi: 10.1007/s12194-018-0486-x. Epub 2018 Oct 29. Review.

PMID:
30374837
6.

Effect of accounting for interfractional CTV shape variations in PTV margins on prostate cancer radiation treatment plans.

Hirose TA, Arimura H, Shibayama Y, Fukunaga JI, Ohga S.

Phys Med. 2018 Oct;54:66-76. doi: 10.1016/j.ejmp.2018.09.008. Epub 2018 Sep 29.

PMID:
30337012
7.

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.

Radiol Phys Technol. 2018 Dec;11(4):434-444. doi: 10.1007/s12194-018-0481-2. Epub 2018 Sep 28.

PMID:
30267211
8.

Radiomics with artificial intelligence for precision medicine in radiation therapy.

Arimura H, Soufi M, Kamezawa H, Ninomiya K, Yamada M.

J Radiat Res. 2019 Jan 1;60(1):150-157. doi: 10.1093/jrr/rry077. Review.

9.

Identification of optimal mother wavelets in survival prediction of lung cancer patients using wavelet decomposition-based radiomic features.

Soufi M, Arimura H, Nagami N.

Med Phys. 2018 Nov;45(11):5116-5128. doi: 10.1002/mp.13202. Epub 2018 Oct 19.

PMID:
30230556
10.

Exploration of temporal stability and prognostic power of radiomic features based on electronic portal imaging device images.

Soufi M, Arimura H, Nakamoto T, Hirose TA, Ohga S, Umezu Y, Honda H, Sasaki T.

Phys Med. 2018 Feb;46:32-44. doi: 10.1016/j.ejmp.2017.11.037. Epub 2018 Jan 19.

PMID:
29519407
11.

Computational analysis of interfractional anisotropic shape variations of the rectum in prostate cancer radiation therapy.

Haekal M, Arimura H, Hirose TA, Shibayama Y, Ohga S, Fukunaga J, Umezu Y, Honda H, Sasaki T.

Phys Med. 2018 Feb;46:168-179. doi: 10.1016/j.ejmp.2017.12.019. Epub 2018 Feb 14.

PMID:
29519405
12.

[Symposium 2: Integration of Medical Engineering and Radiological Technology: Expected New Technology].

Toda N, Kobayashi T, Yamaya T, Arimura H, Uchiyama Y, Mori K, Fujita H, Hara T.

Nihon Hoshasen Gijutsu Gakkai Zasshi. 2018;74(2):175-190. doi: 10.6009/jjrt.2018_JSRT_74.2.175. Japanese. No abstract available.

13.

Impact of pixel-based machine-learning techniques on automated frameworks for delineation of gross tumor volume regions for stereotactic body radiation therapy.

Kawata Y, Arimura H, Ikushima K, Jin Z, Morita K, Tokunaga C, Yabu-Uchi H, Shioyama Y, Sasaki T, Honda H, Sasaki M.

Phys Med. 2017 Oct;42:141-149. doi: 10.1016/j.ejmp.2017.08.012. Epub 2017 Sep 23.

PMID:
29173908
14.

Survey of Careers and Achievements on Delegates in JSRT International Delegation Projects.

Kobayashi M, Tanaka R, Matsubara K, Morioka S, Tsujioka K, Arimura H, Ueda K, Ogura A, Miyati T.

Nihon Hoshasen Gijutsu Gakkai Zasshi. 2017;73(10):1061-1065. doi: 10.6009/jjrt.2017_JSRT_73.10.1061. Japanese.

15.

Multidimensional Image Analysis for High Precision Radiation Therapy.

Arimura H, Soufi M, Haekal M.

Igaku Butsuri. 2017;36(4):217-221. doi: 10.11323/jjmp.36.4_217.

16.

Educational outcomes of a medical physicist program over the past 10 years in Japan.

Kadoya N, Karasawa K, Sumida I, Arimura H, Kakinohana Y, Kabuki S, Monzen H, Nishio T, Shirato H, Yamada S.

J Radiat Res. 2017 Sep 1;58(5):669-674. doi: 10.1093/jrr/rrx016.

17.

Investigation of interfractional shape variations based on statistical point distribution model for prostate cancer radiation therapy.

Shibayama Y, Arimura H, Hirose TA, Nakamoto T, Sasaki T, Ohga S, Matsushita N, Umezu Y, Nakamura Y, Honda H.

Med Phys. 2017 May;44(5):1837-1845. doi: 10.1002/mp.12217. Epub 2017 Apr 20.

PMID:
28295382
18.

Computer-assisted framework for machine-learning-based delineation of GTV regions on datasets of planning CT and PET/CT images.

Ikushima K, Arimura H, Jin Z, Yabu-Uchi H, Kuwazuru J, Shioyama Y, Sasaki T, Honda H, Sasaki M.

J Radiat Res. 2017 Jan;58(1):123-134. doi: 10.1093/jrr/rrw082. Epub 2016 Sep 8.

19.

Investigation of whether in-room CT-based adaptive intracavitary brachytherapy for uterine cervical cancer is robust against interfractional location variations of organs and/or applicators.

Oku Y, Arimura H, Nguyen TT, Hiraki Y, Toyota M, Saigo Y, Yoshiura T, Hirata H.

J Radiat Res. 2016 Nov;57(6):677-683. Epub 2016 Jun 13.

20.

Feasibility of differential geometry-based features in detection of anatomical feature points on patient surfaces in range image-guided radiation therapy.

Soufi M, Arimura H, Nakamura K, Lestari FP, Haryanto F, Hirose TA, Umedu Y, Shioyama Y, Toyofuku F.

Int J Comput Assist Radiol Surg. 2016 Nov;11(11):1993-2006. Epub 2016 Jun 13.

PMID:
27295052

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