Ohsugi H - Search Results

1

Effects of corneal thickness and axial length on intraocular pressure and ocular pulse amplitude before and after cataract surgery.

Tabuchi H, Kiuchi Y, Ohsugi H, Nakakura S, Han Z. Tabuchi H, et al. Among authors: ohsugi h. Can J Ophthalmol. 2011 Jun;46(3):242-6. doi: 10.1016/j.jcjo.2011.05.015. Epub 2011 May 27. Can J Ophthalmol. 2011. PMID: 21784209

2

Comparison of visual performance of multifocal intraocular lenses with same material monofocal intraocular lenses.

Yamauchi T, Tabuchi H, Takase K, Ohsugi H, Ohara Z, Kiuchi Y. Yamauchi T, et al. Among authors: ohsugi h. PLoS One. 2013 Jun 28;8(6):e68236. doi: 10.1371/journal.pone.0068236. Print 2013. PLoS One. 2013. PMID: 23840836 Free PMC article.

3

Changes in choroidal thickness after cataract surgery.

Ohsugi H, Ikuno Y, Ohara Z, Imamura H, Nakakura S, Matsuba S, Kato Y, Tabuchi H. Ohsugi H, et al. J Cataract Refract Surg. 2014 Feb;40(2):184-91. doi: 10.1016/j.jcrs.2013.07.036. Epub 2013 Dec 20. J Cataract Refract Surg. 2014. PMID: 24360848

4

Morphologic characteristics of macular complications of a dome-shaped macula determined by swept-source optical coherence tomography.

Ohsugi H, Ikuno Y, Oshima K, Yamauchi T, Tabuchi H. Ohsugi H, et al. Am J Ophthalmol. 2014 Jul;158(1):162-170.e1. doi: 10.1016/j.ajo.2014.02.054. Epub 2014 Mar 12. Am J Ophthalmol. 2014. PMID: 24631474

5

Axial length changes in highly myopic eyes and influence of myopic macular complications in Japanese adults.

Ohsugi H, Ikuno Y, Shoujou T, Oshima K, Ohsugi E, Tabuchi H. Ohsugi H, et al. Among authors: ohsugi e. PLoS One. 2017 Jul 7;12(7):e0180851. doi: 10.1371/journal.pone.0180851. eCollection 2017. PLoS One. 2017. PMID: 28686709 Free PMC article.

6

Accuracy of ultra-wide-field fundus ophthalmoscopy-assisted deep learning, a machine-learning technology, for detecting age-related macular degeneration.

Matsuba S, Tabuchi H, Ohsugi H, Enno H, Ishitobi N, Masumoto H, Kiuchi Y. Matsuba S, et al. Among authors: ohsugi h. Int Ophthalmol. 2019 Jun;39(6):1269-1275. doi: 10.1007/s10792-018-0940-0. Epub 2018 May 9. Int Ophthalmol. 2019. PMID: 29744763

7

Severity Classification of Conjunctival Hyperaemia by Deep Neural Network Ensembles.

Masumoto H, Tabuchi H, Yoneda T, Nakakura S, Ohsugi H, Sumi T, Fukushima A. Masumoto H, et al. Among authors: ohsugi h. J Ophthalmol. 2019 Jun 2;2019:7820971. doi: 10.1155/2019/7820971. eCollection 2019. J Ophthalmol. 2019. PMID: 31275636 Free PMC article.

8

3-D choroidal thickness maps from EDI-OCT in highly myopic eyes.

Ohsugi H, Ikuno Y, Oshima K, Tabuchi H. Ohsugi H, et al. Optom Vis Sci. 2013 Jun;90(6):599-606. doi: 10.1097/OPX.0b013e3182924017. Optom Vis Sci. 2013. PMID: 23604298

9

Comparison between support vector machine and deep learning, machine-learning technologies for detecting epiretinal membrane using 3D-OCT.

Sonobe T, Tabuchi H, Ohsugi H, Masumoto H, Ishitobi N, Morita S, Enno H, Nagasato D. Sonobe T, et al. Among authors: ohsugi h. Int Ophthalmol. 2019 Aug;39(8):1871-1877. doi: 10.1007/s10792-018-1016-x. Epub 2018 Sep 14. Int Ophthalmol. 2019. PMID: 30218173

10

Deep Neural Network-Based Method for Detecting Central Retinal Vein Occlusion Using Ultrawide-Field Fundus Ophthalmoscopy.

Nagasato D, Tabuchi H, Ohsugi H, Masumoto H, Enno H, Ishitobi N, Sonobe T, Kameoka M, Niki M, Hayashi K, Mitamura Y. Nagasato D, et al. Among authors: ohsugi h. J Ophthalmol. 2018 Nov 1;2018:1875431. doi: 10.1155/2018/1875431. eCollection 2018. J Ophthalmol. 2018. PMID: 30515316 Free PMC article.

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