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Items: 1 to 20 of 258

1.

A novel automated image analysis system using deep convolutional neural networks can assist to differentiate MDS and AA.

Kimura K, Tabe Y, Ai T, Takehara I, Fukuda H, Takahashi H, Naito T, Komatsu N, Uchihashi K, Ohsaka A.

Sci Rep. 2019 Sep 16;9(1):13385. doi: 10.1038/s41598-019-49942-z.

2.

Membrane InGaAsP Mach-Zehnder modulator with SiN:D waveguides on Si platform.

Hiraki T, Aihara T, Takeda K, Fujii T, Kakitsuka T, Tsuchizawa T, Fukuda H, Matsuo S.

Opt Express. 2019 Jun 24;27(13):18612-18619. doi: 10.1364/OE.27.018612.

PMID:
31252801
3.

Spatial navigation ability and gaze switching in older drivers: A driving simulator study.

Kunishige M, Fukuda H, Iida T, Kawabata N, Ishizuki C, MIyaguchi H.

Hong Kong J Occup Ther. 2019 Jun;32(1):22-31. doi: 10.1177/1569186118823872. Epub 2019 Feb 21.

4.

Effectiveness of a new multi-component smoking cessation service package for patients with hypertension and diabetes in northern Thailand: a randomized controlled trial (ESCAPE study).

Aung MN, Yuasa M, Moolphate S, Lorga T, Yokokawa H, Fukuda H, Kitajima T, Tanimura S, Hiratsuka Y, Ono K, Thinuan P, Minematsu K, Deerojanawong J, Suya Y, Marui E.

Subst Abuse Treat Prev Policy. 2019 Feb 22;14(1):10. doi: 10.1186/s13011-019-0197-2.

5.

Achievement of Target Serum Uric Acid Levels and Factors Associated with Therapeutic Failure among Japanese Men Treated for Hyperuricemia/Gout.

Katayama A, Yokokawa H, Fukuda H, Ono Y, Isonuma H, Hisaoka T, Naito T.

Intern Med. 2019 May 1;58(9):1225-1231. doi: 10.2169/internalmedicine.1899-18. Epub 2019 Jan 10.

6.

Performance Evaluation of Age Estimation from T1-Weighted Images Using Brain Local Features and CNN.

Ito K, Fujimoto R, Huang TW, Chen HT, Wu K, Sato K, Taki Y, Fukuda H, Aoki T.

Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:694-697. doi: 10.1109/EMBC.2018.8512443.

PMID:
30440491
7.

Phylogeography of freshwater planorbid snails reveals diversification patterns in Eurasian continental islands.

Saito T, Hirano T, Prozorova L, Tu Do V, Sulikowska-Drozd A, Sitnikova T, Surenkhorloo P, Yamazaki D, Morii Y, Kameda Y, Fukuda H, Chiba S.

BMC Evol Biol. 2018 Nov 6;18(1):164. doi: 10.1186/s12862-018-1273-3.

8.

Long working hours and skipping breakfast concomitant with late evening meals are associated with suboptimal glycemic control among young male Japanese patients with type 2 diabetes.

Azami Y, Funakoshi M, Matsumoto H, Ikota A, Ito K, Okimoto H, Shimizu N, Tsujimura F, Fukuda H, Miyagi C, Osawa S, Osawa R, Miura J.

J Diabetes Investig. 2019 Jan;10(1):73-83. doi: 10.1111/jdi.12852. Epub 2018 May 30.

9.

Segmentation of the hippocampus by transferring algorithmic knowledge for large cohort processing.

Thyreau B, Sato K, Fukuda H, Taki Y.

Med Image Anal. 2018 Jan;43:214-228. doi: 10.1016/j.media.2017.11.004. Epub 2017 Nov 10.

PMID:
29156419
10.

Brain age estimation from T1-weighted images using effective local features.

Fujimoto R, Ito K, Kai Wu, Sato K, Taki Y, Fukuda H, Aoki T.

Conf Proc IEEE Eng Med Biol Soc. 2017 Jul;2017:3028-3031. doi: 10.1109/EMBC.2017.8037495.

PMID:
29060536
11.

Socioeconomic status and type 2 diabetes complications among young adult patients in Japan.

Funakoshi M, Azami Y, Matsumoto H, Ikota A, Ito K, Okimoto H, Shimizu N, Tsujimura F, Fukuda H, Miyagi C, Osawa S, Osawa R, Miura J.

PLoS One. 2017 Apr 24;12(4):e0176087. doi: 10.1371/journal.pone.0176087. eCollection 2017.

12.

Association between high cystatin C levels and carotid atherosclerosis.

Kobayashi T, Yokokawa H, Fujibayashi K, Haniu T, Hisaoka T, Fukuda H, Naito T.

World J Cardiol. 2017 Feb 26;9(2):174-181. doi: 10.4330/wjc.v9.i2.174.

13.

Age estimation using effective brain local features from T1-weighted images.

Fujimoto R, Kondo C, Ito K, Kai Wu, Sato K, Taki Y, Fukuda H, Aoki T.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:5941-5944. doi: 10.1109/EMBC.2016.7592081.

PMID:
28269605
14.

[Visual processing of names in mental rotation tasks].

Kumagai S, Ono F, Fukuda H.

Shinrigaku Kenkyu. 2016 Dec;87(5):457-62. Japanese.

PMID:
29630177
15.

Increased expression of endocytosis-Related proteins in rat hippocampus following 10-day electroconvulsive seizure treatment.

Enomoto S, Shimizu K, Nibuya M, Toda H, Yoshino A, Suzuki E, Kondo T, Fukuda H.

Neurosci Lett. 2016 Jun 15;624:85-91. doi: 10.1016/j.neulet.2016.05.015. Epub 2016 May 10.

PMID:
27177725
16.

Association between health literacy and metabolic syndrome or healthy lifestyle characteristics among community-dwelling Japanese people.

Yokokawa H, Fukuda H, Yuasa M, Sanada H, Hisaoka T, Naito T.

Diabetol Metab Syndr. 2016 Mar 24;8:30. doi: 10.1186/s13098-016-0142-8. eCollection 2016.

17.

Daily salt intake estimated by overnight urine collections indicates a high cardiovascular disease risk in Thailand.

Yokokawa H, Yuasa M, Nedsuwan S, Moolphate S, Fukuda H, Kitajima T, Minematsu K, Tanimura S, Marui E.

Asia Pac J Clin Nutr. 2016;25(1):39-45. doi: 10.6133/apjcn.2016.25.1.22.

18.

The Relationships between Metabolic Disorders (Hypertension, Dyslipidemia, and Impaired Glucose Tolerance) and Computed Tomography-Based Indices of Hepatic Steatosis or Visceral Fat Accumulation in Middle-Aged Japanese Men.

Fujibayashi K, Gunji T, Yokokawa H, Naito T, Sasabe N, Okumura M, Iijima K, Shibuya K, Hisaoka T, Fukuda H.

PLoS One. 2016 Mar 3;11(3):e0149689. doi: 10.1371/journal.pone.0149689. eCollection 2016.

19.

An age estimation method using brain local features for T1-weighted images.

Kondo C, Ito K, Kai Wu, Sato K, Taki Y, Fukuda H, Aoki T.

Conf Proc IEEE Eng Med Biol Soc. 2015 Aug;2015:666-9. doi: 10.1109/EMBC.2015.7318450.

PMID:
26736350
20.

Achievement of Target Blood Pressure Levels among Japanese Workers with Hypertension and Healthy Lifestyle Characteristics Associated with Therapeutic Failure.

Kudo N, Yokokawa H, Fukuda H, Sanada H, Miwa Y, Hisaoka T, Isonuma H.

PLoS One. 2015 Jul 30;10(7):e0133641. doi: 10.1371/journal.pone.0133641. eCollection 2015.

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