Yokota H - Search Results

1

Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer.

Iwatate Y, Hoshino I, Yokota H, Ishige F, Itami M, Mori Y, Chiba S, Arimitsu H, Yanagibashi H, Nagase H, Takayama W. Iwatate Y, et al. Among authors: yokota h. Br J Cancer. 2020 Oct;123(8):1253-1261. doi: 10.1038/s41416-020-0997-1. Epub 2020 Jul 21. Br J Cancer. 2020. PMID: 32690867 Free PMC article.

2

Corkscrew oesophagus on virtual endoscopy.

Hoshino I, Yokota H, Fukunaga T, Isozaki Y. Hoshino I, et al. Among authors: yokota h. Lancet. 2011 Feb 19;377(9766):667. doi: 10.1016/S0140-6736(10)60675-7. Lancet. 2011. PMID: 21315439 No abstract available.

3

Internal hernia associated with colostomy after laparoscopic abdominoperineal resection.

Yokota H, Hoshino I, Sugamoto Y, Fukunaga T, Fujimoto H, Matsubara H, Uno T. Yokota H, et al. Clin Imaging. 2013 May-Jun;37(3):590-2. doi: 10.1016/j.clinimag.2012.07.007. Epub 2012 Aug 24. Clin Imaging. 2013. PMID: 23601774

4

A Deep Convolutional Neural Network With Performance Comparable to Radiologists for Differentiating Between Spinal Schwannoma and Meningioma.

Maki S, Furuya T, Horikoshi T, Yokota H, Mori Y, Ota J, Kawasaki Y, Miyamoto T, Norimoto M, Okimatsu S, Shiga Y, Inage K, Orita S, Takahashi H, Suyari H, Uno T, Ohtori S. Maki S, et al. Among authors: yokota h. Spine (Phila Pa 1976). 2020 May 15;45(10):694-700. doi: 10.1097/BRS.0000000000003353. Spine (Phila Pa 1976). 2020. PMID: 31809468

5

A multi-scanner study of MRI radiomics in uterine cervical cancer: prediction of in-field tumor control after definitive radiotherapy based on a machine learning method including peritumoral regions.

Takada A, Yokota H, Watanabe Nemoto M, Horikoshi T, Matsushima J, Uno T. Takada A, et al. Among authors: yokota h. Jpn J Radiol. 2020 Mar;38(3):265-273. doi: 10.1007/s11604-019-00917-0. Epub 2020 Jan 6. Jpn J Radiol. 2020. PMID: 31907716

6

Radiogenomics predicts the expression of microRNA-1246 in the serum of esophageal cancer patients.

Hoshino I, Yokota H, Ishige F, Iwatate Y, Takeshita N, Nagase H, Uno T, Matsubara H. Hoshino I, et al. Among authors: yokota h. Sci Rep. 2020 Feb 13;10(1):2532. doi: 10.1038/s41598-020-59500-7. Sci Rep. 2020. PMID: 32054931 Free PMC article.

7

Prognostic significance of p16 protein in pancreatic ductal adenocarcinoma.

Iwatate Y, Hoshino I, Ishige F, Itami M, Chiba S, Arimitsu H, Yanagibashi H, Nagase H, Yokota H, Takayama W. Iwatate Y, et al. Among authors: yokota h. Mol Clin Oncol. 2020 Jul;13(1):83-91. doi: 10.3892/mco.2020.2047. Epub 2020 May 18. Mol Clin Oncol. 2020. PMID: 32499915 Free PMC article.

8

Cell-free microRNA-1246 in different body fluids as a diagnostic biomarker for esophageal squamous cell carcinoma.

Hoshino I, Ishige F, Iwatate Y, Gunji H, Kuwayama N, Nabeya Y, Yokota H, Takeshita N, Iida K, Nagase H, Matsubara H. Hoshino I, et al. Among authors: yokota h. PLoS One. 2021 Mar 10;16(3):e0248016. doi: 10.1371/journal.pone.0248016. eCollection 2021. PLoS One. 2021. PMID: 33690683 Free PMC article.

9

Development of attenuation correction methods using deep learning in brain-perfusion single-photon emission computed tomography.

Murata T, Yokota H, Yamato R, Horikoshi T, Tsuneda M, Kurosawa R, Hashimoto T, Ota J, Sawada K, Iimori T, Masuda Y, Mori Y, Suyari H, Uno T. Murata T, et al. Among authors: yokota h. Med Phys. 2021 Aug;48(8):4177-4190. doi: 10.1002/mp.15016. Epub 2021 Jun 28. Med Phys. 2021. PMID: 34061380 Clinical Trial.

10

Radiomics is feasible for prediction of spread through air spaces in patients with nonsmall cell lung cancer.

Onozato Y, Nakajima T, Yokota H, Morimoto J, Nishiyama A, Toyoda T, Inage T, Tanaka K, Sakairi Y, Suzuki H, Uno T, Yoshino I. Onozato Y, et al. Among authors: yokota h. Sci Rep. 2021 Jun 29;11(1):13526. doi: 10.1038/s41598-021-93002-4. Sci Rep. 2021. PMID: 34188146 Free PMC article.

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