Kadoya N - Search Results

1

Evaluation of deep learning based dose prediction in head and neck cancer patients using two different types of input contours.

Saito M, Kadoya N, Kimura Y, Nemoto H, Tozuka R, Jingu K, Onishi H. Saito M, et al. Among authors: kadoya n. J Appl Clin Med Phys. 2024 Sep 16:e14519. doi: 10.1002/acm2.14519. Online ahead of print. J Appl Clin Med Phys. 2024. PMID: 39285649

2

Comparison of DVH-based plan verification methods for VMAT: ArcCHECK-3DVH system and dynalog-based dose reconstruction.

Saito M, Kadoya N, Sato K, Ito K, Dobashi S, Takeda K, Onishi H, Jingu K. Saito M, et al. Among authors: kadoya n. J Appl Clin Med Phys. 2017 Jul;18(4):206-214. doi: 10.1002/acm2.12123. Epub 2017 Jun 26. J Appl Clin Med Phys. 2017. PMID: 28649722 Free PMC article.

3

Systematic method for a deep learning-based prediction model for gamma evaluation in patient-specific quality assurance of volumetric modulated arc therapy.

Tomori S, Kadoya N, Kajikawa T, Kimura Y, Narazaki K, Ochi T, Jingu K. Tomori S, et al. Among authors: kadoya n. Med Phys. 2021 Mar;48(3):1003-1018. doi: 10.1002/mp.14682. Epub 2021 Jan 28. Med Phys. 2021. PMID: 33368406

4

Improvement of deep learning prediction model in patient-specific QA for VMAT with MLC leaf position map and patient's dose distribution.

Tozuka R, Kadoya N, Tomori S, Kimura Y, Kajikawa T, Sugai Y, Xiao Y, Jingu K. Tozuka R, et al. Among authors: kadoya n. J Appl Clin Med Phys. 2023 Oct;24(10):e14055. doi: 10.1002/acm2.14055. Epub 2023 Jun 1. J Appl Clin Med Phys. 2023. PMID: 37261720 Free PMC article.

5

Evaluation of patient DVH-based QA metrics for prostate VMAT: correlation between accuracy of estimated 3D patient dose and magnitude of MLC misalignment.

Kadoya N, Saito M, Ogasawara M, Fujita Y, Ito K, Sato K, Kishi K, Dobashi S, Takeda K, Jingu K. Kadoya N, et al. J Appl Clin Med Phys. 2015 May 8;16(3):5251. doi: 10.1120/jacmp.v16i3.5251. J Appl Clin Med Phys. 2015. PMID: 26103486 Free PMC article.

6

A deep learning-based prediction model for gamma evaluation in patient-specific quality assurance.

Tomori S, Kadoya N, Takayama Y, Kajikawa T, Shima K, Narazaki K, Jingu K. Tomori S, et al. Among authors: kadoya n. Med Phys. 2018 Jul 31. doi: 10.1002/mp.13112. Online ahead of print. Med Phys. 2018. PMID: 30066388

7

A convolutional neural network approach for IMRT dose distribution prediction in prostate cancer patients.

Kajikawa T, Kadoya N, Ito K, Takayama Y, Chiba T, Tomori S, Nemoto H, Dobashi S, Takeda K, Jingu K. Kajikawa T, et al. Among authors: kadoya n. J Radiat Res. 2019 Oct 23;60(5):685-693. doi: 10.1093/jrr/rrz051. J Radiat Res. 2019. PMID: 31322704 Free PMC article.

8

Evaluation of a 3D-printed heterogeneous anthropomorphic head and neck phantom for patient-specific quality assurance in intensity-modulated radiation therapy.

Kadoya N, Abe K, Nemoto H, Sato K, Ieko Y, Ito K, Dobashi S, Takeda K, Jingu K. Kadoya N, et al. Radiol Phys Technol. 2019 Sep;12(3):351-356. doi: 10.1007/s12194-019-00527-5. Epub 2019 Jul 30. Radiol Phys Technol. 2019. PMID: 31364005

9

Homology-based radiomic features for prediction of the prognosis of lung cancer based on CT-based radiomics.

Kadoya N, Tanaka S, Kajikawa T, Tanabe S, Abe K, Nakajima Y, Yamamoto T, Takahashi N, Takeda K, Dobashi S, Takeda K, Nakane K, Jingu K. Kadoya N, et al. Med Phys. 2020 Jun;47(5):2197-2205. doi: 10.1002/mp.14104. Epub 2020 Mar 16. Med Phys. 2020. PMID: 32096876

10

Multi-atlas-based auto-segmentation for prostatic urethra using novel prediction of deformable image registration accuracy.

Takagi H, Kadoya N, Kajikawa T, Tanaka S, Takayama Y, Chiba T, Ito K, Dobashi S, Takeda K, Jingu K. Takagi H, et al. Among authors: kadoya n. Med Phys. 2020 Jul;47(7):3023-3031. doi: 10.1002/mp.14154. Epub 2020 Apr 27. Med Phys. 2020. PMID: 32201958

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