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Jun Sese

Showing results (41-50 of 66) with videos related to

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Journal of Human Genetics|July 16, 2024
Identification of epistatic SNP combinations in rheumatoid arthritis using LAMPLINK and Japanese cohortsMio Shibata, Aika Terada, Takahisa Kawaguchi, et al.
Biochemical and Biophysical Research Communications|February 21, 2006
Expression profiling of muscles from Fukuyama-type congenital muscular dystrophy and laminin-alpha 2 deficient congenital muscular dystrophy; is congenital muscular dystrophy a primary fibrotic disease?Mariko Taniguchi, Hiroki Kurahashi, Satoru Noguchi, et al.
Journal of Thoracic Disease|May 22, 2025
Pleural invasion of peripheral cT1 lung cancer by deep learning analysis of thoracoscopic images: a retrospective pilot studyKohei Hashimoto, Calvin Davey, Kenshiro Omura, et al.
Surgery Today|May 5, 2022
Preliminary study for developing a navigation system for gastric cancer surgery using artificial intelligenceYuya Sato, Jun Sese, Takatoshi Matsuyama, et al.
Plos One|October 20, 2012
Genome-wide DNA methylation and gene expression analyses of monozygotic twins discordant for intelligence levelsChih-Chieh Yu, Mari Furukawa, Kazuhiro Kobayashi, et al.
Scientific Reports|October 10, 2019
Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopyMasayoshi Yamada, Yutaka Saito, Hitoshi Imaoka, et al.
Biomolecules|October 22, 2020
Predicting Deep Learning Based Multi-Omics Parallel Integration Survival Subtypes in Lung Cancer Using Reverse Phase Protein Array DataSatoshi Takahashi, Ken Asada, Ken Takasawa, et al.
The New Phytologist|June 1, 2021
CorrigendumReiko Akiyama, Roman V Briskine, Xiangchao Gan, et al.
Nature Biomedical Engineering|November 21, 2022
Prediction of the cell-type-specific transcription of non-coding RNAs from genome sequences via machine learningMasaru Koido, Chung-Chau Hon, Satoshi Koyama, et al.
Current Genetics|January 7, 2006
Evaluation of image processing programs for accurate measurement of budding and fission yeast morphologyGenjiro Suzuki, Hiroshi Sawai, Miwaka Ohtani, et al.
Pageof 7

Showing results (41-50 of 66) with videos related to

Sort By:
Pageof 7
Journal of Human Genetics|July 16, 2024
Identification of epistatic SNP combinations in rheumatoid arthritis using LAMPLINK and Japanese cohortsMio Shibata, Aika Terada, Takahisa Kawaguchi, et al.
Biochemical and Biophysical Research Communications|February 21, 2006
Expression profiling of muscles from Fukuyama-type congenital muscular dystrophy and laminin-alpha 2 deficient congenital muscular dystrophy; is congenital muscular dystrophy a primary fibrotic disease?Mariko Taniguchi, Hiroki Kurahashi, Satoru Noguchi, et al.
Journal of Thoracic Disease|May 22, 2025
Pleural invasion of peripheral cT1 lung cancer by deep learning analysis of thoracoscopic images: a retrospective pilot studyKohei Hashimoto, Calvin Davey, Kenshiro Omura, et al.
Surgery Today|May 5, 2022
Preliminary study for developing a navigation system for gastric cancer surgery using artificial intelligenceYuya Sato, Jun Sese, Takatoshi Matsuyama, et al.
Plos One|October 20, 2012
Genome-wide DNA methylation and gene expression analyses of monozygotic twins discordant for intelligence levelsChih-Chieh Yu, Mari Furukawa, Kazuhiro Kobayashi, et al.
Scientific Reports|October 10, 2019
Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopyMasayoshi Yamada, Yutaka Saito, Hitoshi Imaoka, et al.
Biomolecules|October 22, 2020
Predicting Deep Learning Based Multi-Omics Parallel Integration Survival Subtypes in Lung Cancer Using Reverse Phase Protein Array DataSatoshi Takahashi, Ken Asada, Ken Takasawa, et al.
The New Phytologist|June 1, 2021
CorrigendumReiko Akiyama, Roman V Briskine, Xiangchao Gan, et al.
Nature Biomedical Engineering|November 21, 2022
Prediction of the cell-type-specific transcription of non-coding RNAs from genome sequences via machine learningMasaru Koido, Chung-Chau Hon, Satoshi Koyama, et al.
Current Genetics|January 7, 2006
Evaluation of image processing programs for accurate measurement of budding and fission yeast morphologyGenjiro Suzuki, Hiroshi Sawai, Miwaka Ohtani, et al.
Pageof 7