Search Results - "Yamauchi, Tomofusa"

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  1. 1

    Comparative visual performance of ultraviolet light-filtering and violet light-filtering monofocal intraocular lenses of the same material and basic design by Tanabe, Hirotaka, Tabuchi, Hitoshi, Shojo, Tomohiro, Yamauchi, Tomofusa, Takase, Kosuke

    Published in Scientific reports (26-10-2024)
    “…We compared the visual performance of ZCB00 ultraviolet light-filtering and ZCB00V violet light-filtering monofocal intraocular lenses (IOLs) (both Johnson &…”
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    Journal Article
  2. 2

    Morphologic Characteristics of Macular Complications of a Dome-Shaped Macula Determined by Swept-Source Optical Coherence Tomography by Ohsugi, Hideharu, Ikuno, Yasushi, Oshima, Kanako, Yamauchi, Tomofusa, Tabuchi, Hitoshi

    Published in American journal of ophthalmology (01-07-2014)
    “…Purpose To investigate the morphologic characteristics of macular complications of dome-shaped maculas using swept-source optical coherence tomography (OCT)…”
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    Journal Article
  3. 3

    Training data size and predication errors in the use of machine-learning assisted intraocular lens power calculation by Tabuchi, Hitoshi, Yamauchi, Tomofusa, Shojo, Tomohiro, Takase, Kosuke, Tanabe, Mao

    Published in Scientific reports (13-07-2023)
    “…This retrospective study examined the effect of the size of training data on the accuracy of machine learning-assisted SRK/T power calculation. Clinical…”
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    Journal Article
  4. 4

    Comparison of visual performance between monofocal and multifocal intraocular lenses of the same material and basic design by Tanabe, Hirotaka, Tabuchi, Hitoshi, Shojo, Tomohiro, Yamauchi, Tomofusa, Takase, Kosuke

    Published in Scientific reports (23-09-2020)
    “…To compare the visual performance of a monofocal intraocular lens (IOL) (ZCB00) and a multifocal IOL (ZMB00) of the same material and basic design, we…”
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    Journal Article
  5. 5

    Comparison of visual performance between diffractive bifocal and diffractive trifocal intraocular lenses by Kawamura, Junya, Tanabe, Hirotaka, Shojo, Tomohiro, Yamauchi, Tomofusa, Takase, Kosuke, Tabuchi, Hitoshi

    Published in Scientific reports (04-03-2024)
    “…To evaluate the visual performance of a diffractive bifocal intraocular lens (IOL) with + 4.0 D near addition (ZMB00) and a diffractive trifocal IOL with +…”
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    Journal Article
  6. 6

    Comparative visual performance of diffractive bifocal and rotationally asymmetric refractive intraocular lenses by Tanabe, Hirotaka, Shojo, Tomohiro, Yamauchi, Tomofusa, Takase, Kosuke, Akada, Masahiro, Tabuchi, Hitoshi

    Published in Scientific reports (12-11-2022)
    “…We compared the visual performance of a diffractive bifocal intraocular lens (IOL) with + 4.0 D near addition (ZMB00 [Johnson & Johnson Surgical Vision]) and a…”
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    Journal Article
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    Comparison of visual performance of multifocal intraocular lenses with same material monofocal intraocular lenses by Yamauchi, Tomofusa, Tabuchi, Hitoshi, Takase, Kosuke, Ohsugi, Hideharu, Ohara, Zaigen, Kiuchi, Yoshiaki

    Published in PloS one (28-06-2013)
    “…To compare the visual performance of multifocal intraocular lenses (IOLs) and monofocal IOLs made of the same material. The subjects included patients…”
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    Journal Article
  9. 9

    Revolutionizing Patient Monitoring in Age-Related Macular Degeneration: A Comparative Study on the Necessity and Efficiency of the AMD VIEWER by Tabuchi, Hitoshi, Yamauchi, Tomofusa, Nagasawa, Toshihiko, Deguchi, Hodaka, Tanabe, Mao, Tanaka, Hayato, Yasukawa, Tsutomu

    Published in Bioengineering (Basel) (01-12-2023)
    “…(1) Background: Age-related Macular Degeneration (AMD) is a critical condition leading to blindness, necessitating lifelong clinic visits for management,…”
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    Journal Article
  10. 10

    Machine learning adaptation of intraocular lens power calculation for a patient group by Mori, Yosai, Yamauchi, Tomofusa, Tokuda, Shota, Minami, Keiichiro, Tabuchi, Hitoshi, Miyata, Kazunori

    Published in Eye and vision (Novato, Calif.) (15-11-2021)
    “…Abstract Background To examine the effectiveness of the use of machine learning for adapting an intraocular lens (IOL) power calculation for a patient group…”
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    Journal Article
  11. 11

    Repeatability of visual acuity testing using a psychometric function by Tokutake, Tomoki, Yamauchi, Tomofusa, Mita, Norihiro, Kawamoto, Ken-ichiro, Tabuchi, Hitoshi, Kani, Kazutaka, Hara, Heihachiro, Tabuchi, Akio, Sasaki, Hiroshi

    Published in Japanese journal of ophthalmology (01-07-2014)
    “…Purpose To evaluate the repeatability of a new method of measurement of visual acuity by use of a psychometric function. Methods The visual acuity of 15…”
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    Journal Article
  12. 12

    Real-Time Extraction of Important Surgical Phases in Cataract Surgery Videos by Morita, Shoji, Tabuchi, Hitoshi, Masumoto, Hiroki, Yamauchi, Tomofusa, Kamiura, Naotake

    Published in Scientific reports (12-11-2019)
    “…The present study aimed to conduct a real-time automatic analysis of two important surgical phases, which are continuous curvilinear capsulorrhexis (CCC),…”
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    Journal Article
  13. 13

    Comparison of visual performance between bifocal and extended-depth-of-focus intraocular lenses by Tabuchi, Hitoshi, Tanabe, Hirotaka, Shirakami, Tomoki, Takase, Kosuke, Shojo, Tomohiro, Yamauchi, Tomofusa

    Published in PloS one (13-07-2023)
    “…We compared the visual performance of a bifocal intraocular lens (IOL) (ZMB00) and an extended-depth-of-focus (EDOF) IOL (ZXR00V) by evaluating postoperative…”
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    Journal Article
  14. 14

    Prediction of Phakic Intraocular Lens Vault Using Machine Learning of Anterior Segment Optical Coherence Tomography Metrics by Kamiya, Kazutaka, Ryu, Ik Hee, Yoo, Tae Keun, Kim, Jung Sub, Lee, In Sik, Kim, Jin Kook, Ando, Wakako, Shoji, Nobuyuki, Yamauchi, Tomofusa, Tabuchi, Hitoshi

    Published in American journal of ophthalmology (01-06-2021)
    “…To compare the achieved vault using the conventional manufacturer's nomogram and the predicted vault using machine learning, in a large cohort of eyes…”
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    Journal Article
  15. 15

    Use of a Machine Learning Method in Predicting Refraction after Cataract Surgery by Yamauchi, Tomofusa, Tabuchi, Hitoshi, Takase, Kosuke, Masumoto, Hiroki

    Published in Journal of clinical medicine (06-03-2021)
    “…The present study aims to describe the use of machine learning (ML) in predicting the occurrence of postoperative refraction after cataract surgery and…”
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    Journal Article
  16. 16

    On expectation of binding time for ophthalmological outpatients by Kamiura, Naotake, Isokawa, Teijiro, Yumoto, Takayuki, Yamauchi, Tomofusa, Tabuchi, Hitoshi

    “…In this paper, a method of estimating binding time is proposed for ophthalmological outpatients. Binding time equals the sum of transit time and waiting time…”
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    Conference Proceeding
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    Comparison of visual performance of toric vs non-toric intraocular lenses with same material by Yamauchi, Tomofusa, Tabuchi, Hitoshi, Takase, Kosuke, Ohara, Zaigen, Imamura, Hitoshi, Kiuchi, Yoshiaki

    Published in Clinical ophthalmology (Auckland, N.Z.) (01-01-2018)
    “…We compared the visual performance of toric intraocular lenses (IOLs) and non-toric IOLs made of the same material. The subjects included patients implanted…”
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    Journal Article
  19. 19

    Comparison of visual performance of toric versus non-toric intraocular lenses with same material by Yamauchi, Tomofusa, Tabuchi, Hitoshi, Takase, Kosuke, Ohara, Zaigen, Imamura, Hitoshi, Kiuchi, Yoshiaki

    Published in Clinical ophthalmology (Auckland, N.Z.) (01-11-2018)
    “…Aim: We compared the visual performance of toric intraocular lenses (IOLs) and non-toric IOLs made of the same material. Patients and materials: The subjects…”
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    Journal Article
  20. 20

    On Clinical-Data-Based Personal Identification for Ophthalmological Patients by Kamiura, Naotake, Nii, Manabu, Yumoto, Takayuki, Yamauchi, Tomofusa, Tabuchi, Hitoshi

    “…In this paper, a system of personal identification using data associated with corneal thickness is presented for ophthalmological patients. The data are…”
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    Conference Proceeding