Search Results - "Tanabe, Mao"

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  1. 1

    KEGG: integrating viruses and cellular organisms by Kanehisa, Minoru, Furumichi, Miho, Sato, Yoko, Ishiguro-Watanabe, Mari, Tanabe, Mao

    Published in Nucleic acids research (08-01-2021)
    “…Abstract KEGG (https://www.kegg.jp/) is a manually curated resource integrating eighteen databases categorized into systems, genomic, chemical and health…”
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  2. 2

    New approach for understanding genome variations in KEGG by Kanehisa, Minoru, Sato, Yoko, Furumichi, Miho, Morishima, Kanae, Tanabe, Mao

    Published in Nucleic acids research (08-01-2019)
    “…Abstract KEGG (Kyoto Encyclopedia of Genes and Genomes; https://www.kegg.jp/ or https://www.genome.jp/kegg/) is a reference knowledge base for biological…”
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  3. 3

    KEGG for representation and analysis of molecular networks involving diseases and drugs by Kanehisa, Minoru, Goto, Susumu, Furumichi, Miho, Tanabe, Mao, Hirakawa, Mika

    Published in Nucleic acids research (01-01-2010)
    “…Most human diseases are complex multi-factorial diseases resulting from the combination of various genetic and environmental factors. In the KEGG database…”
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  4. 4

    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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  5. 5

    A deep learning approach for successful big-bubble formation prediction in deep anterior lamellar keratoplasty by Hayashi, Takahiko, Masumoto, Hiroki, Tabuchi, Hitoshi, Ishitobi, Naofumi, Tanabe, Mao, Grün, Michael, Bachmann, Björn, Cursiefen, Claus, Siebelmann, Sebastian

    Published in Scientific reports (17-09-2021)
    “…The efficacy of deep learning in predicting successful big-bubble (SBB) formation during deep anterior lamellar keratoplasty (DALK) was evaluated. Medical…”
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  6. 6

    A novel in silico scaffold-hopping method for drug repositioning in rare and intractable diseases by Tanabe, Mao, Sakate, Ryuichi, Nakabayashi, Jun, Tsumura, Kyosuke, Ohira, Shino, Iwato, Kaoru, Kimura, Tomonori

    Published in Scientific reports (08-11-2023)
    “…In the field of rare and intractable diseases, new drug development is difficult and drug repositioning (DR) is a key method to improve this situation. In this…”
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  7. 7

    Automated detection of enlarged extraocular muscle in Graves’ ophthalmopathy with computed tomography and deep neural network by Hanai, Kaori, Tabuchi, Hitoshi, Nagasato, Daisuke, Tanabe, Mao, Masumoto, Hiroki, Miya, Sakurako, Nishio, Natsuno, Nakamura, Hirohiko, Hashimoto, Masato

    Published in Scientific reports (26-09-2022)
    “…This study aimed to develop a diagnostic software system to evaluate the enlarged extraocular muscles (EEM) in patients with Graves’ ophthalmopathy (GO) by a…”
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  8. 8

    Transferability of an Artificial Intelligence Algorithm Predicting Rebubblings After Descemet Membrane Endothelial Keratoplasty by Hayashi, Takahiko, Iliasian, Rosa M., Matthaei, Mario, Schrittenlocher, Silvia, Masumoto, Hiroki, Tanabe, Mao, Tabuchi, Hitoshi, Siggel, Robert, Bachmann, Björn, Cursiefen, Claus, Siebelmann, Sebastian

    Published in Cornea (01-05-2023)
    “…To develop an artificial intelligence (AI) algorithm enabling corneal surgeons to predict the probability of rebubbling after Descemet membrane endothelial…”
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  9. 9

    Developing an iOS application that uses machine learning for the automated diagnosis of blepharoptosis by Tabuchi, Hitoshi, Nagasato, Daisuke, Masumoto, Hiroki, Tanabe, Mao, Ishitobi, Naofumi, Ochi, Hiroki, Shimizu, Yoshie, Kiuchi, Yoshiaki

    “…Purpose To assess the performance of artificial intelligence in the automated classification of images taken with a tablet device of patients with…”
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  10. 10

    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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  11. 11

    Automatic Diagnosis of Diabetic Retinopathy Stage Focusing Exclusively on Retinal Hemorrhage by Tokuda, Yoshihiro, Tabuchi, Hitoshi, Nagasawa, Toshihiko, Tanabe, Mao, Deguchi, Hodaka, Yoshizumi, Yuki, Ohara, Zaigen, Takahashi, Hiroshi

    Published in Medicina (Kaunas, Lithuania) (20-11-2022)
    “…Background and Objectives: The present study evaluated the detection of diabetic retinopathy (DR) using an automated fundus camera focusing exclusively on…”
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  12. 12

    Deep Learning-Based System for Preoperative Safety Management in Cataract Surgery by Kiuchi, Gaku, Tanabe, Mao, Nagata, Katsunori, Ishitobi, Naofumi, Tabuchi, Hitoshi, Oshika, Tetsuro

    Published in Journal of clinical medicine (14-09-2022)
    “…An artificial intelligence-based system was implemented for preoperative safety management in cataract surgery, including facial recognition, laterality (right…”
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  13. 13

    Foveal Thickness Fluctuations in Anti-VEGF Treatment for Central Retinal Vein Occlusion by Nagasato, Daisuke, Muraoka, Yuki, Tanabe, Mao, Nishigori, Naomi, Osaka, Rie, Mitamura, Yoshinori, Tabuchi, Hitoshi, Murakami, Tomoaki, Ooto, Sotaro, Suzuma, Kiyoshi, Tsujikawa, Akitaka

    Published in Ophthalmology science (Online) (01-03-2024)
    “…The aim of this study was to examine the effects of foveal thickness (FT) fluctuation (FTF) on 2-year visual and morphological outcomes of eyes with central…”
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  14. 14

    Enzymatic production of RNAi libraries from cDNAs by Hirose, Kenzo, Shirane, Daisuke, Sugao, Kohtaroh, Namiki, Shigeyuki, Tanabe, Mao, Iino, Masamitsu

    Published in Nature genetics (01-02-2004)
    “…RNA interference (RNAi) induced by small interfering (siRNA) or short hairpin RNA (shRNA) is an important research approach in mammalian genetics. Here we…”
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  15. 15

    Using the KEGG database resource by Tanabe, Mao, Kanehisa, Minoru

    Published in Current protocols in bioinformatics (01-06-2012)
    “…KEGG (Kyoto Encyclopedia of Genes and Genomes) is a bioinformatics resource for understanding the functions and utilities of cells and organisms from both…”
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  16. 16

    Data, information, knowledge and principle: back to metabolism in KEGG by Kanehisa, Minoru, Goto, Susumu, Sato, Yoko, Kawashima, Masayuki, Furumichi, Miho, Tanabe, Mao

    Published in Nucleic acids research (01-01-2014)
    “…In the hierarchy of data, information and knowledge, computational methods play a major role in the initial processing of data to extract information, but they…”
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  17. 17
  18. 18

    KEGG: new perspectives on genomes, pathways, diseases and drugs by Kanehisa, Minoru, Furumichi, Miho, Tanabe, Mao, Sato, Yoko, Morishima, Kanae

    Published in Nucleic acids research (04-01-2017)
    “…KEGG (http://www.kegg.jp/ or http://www.genome.jp/kegg/) is an encyclopedia of genes and genomes. Assigning functional meanings to genes and genomes both at…”
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  19. 19

    KEGG as a reference resource for gene and protein annotation by Kanehisa, Minoru, Sato, Yoko, Kawashima, Masayuki, Furumichi, Miho, Tanabe, Mao

    Published in Nucleic acids research (04-01-2016)
    “…KEGG (http://www.kegg.jp/ or http://www.genome.jp/kegg/) is an integrated database resource for biological interpretation of genome sequences and other…”
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  20. 20

    KEGG for integration and interpretation of large-scale molecular data sets by Kanehisa, Minoru, Goto, Susumu, Sato, Yoko, Furumichi, Miho, Tanabe, Mao

    Published in Nucleic acids research (01-01-2012)
    “…Kyoto Encyclopedia of Genes and Genomes (KEGG, http://www.genome.jp/kegg/ or http://www.kegg.jp/) is a database resource that integrates genomic, chemical and…”
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