Search Results - "Konishi, Teppei"

Highly efficient trialkylsilylcyanation of aldehydes, ketones and imines catalyzed by a nucleophilic N-heterocyclic carbene by Kano, Taichi, Sasaki, Kouji, Konishi, Teppei, Mii, Haruka, Maruoka, Keiji

“…The synthetic utility of N-heterocyclic carbenes was demonstrated by the trialkylsilylcyanation of aldehydes, ketones and imines. In the presence of a…”
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Design of chiral tin(IV) aryloxide as a mild Lewis acid catalyst for enantioselective Diels–Alder reaction by Kano, Taichi, Konishi, Teppei, Konishi, Shunsuke, Maruoka, Keiji

“…A novel Sn(IV) aryloxide Lewis acid has been designed and prepared from SnCl 4 and ( S)-3,3′-bis(3,5-bis(trifluoromethyl)phenyl)-1,1′-bi-2-naphthol. The chiral…”
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Estimation of maximum absorption wavelength of polymethine dyes in visible and near-infrared region based on time-dependent density functional theory by Nakano, Kousuke, Konishi, Teppei, Imamura, Yutaka

“…[Display omitted] •The maximum absorption wavelength (λmax) is an important property in the design of dyes.•We calculated (λmax) of 70 polymethine dyes using…”
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AI-based quantification of TILs using hematoxylin and eosin and immunohistochemistry-stained slides in triple-negative breast cancer by Kobayashi, Takuma, Tomioka, Nobumoto, Hatanaka, Kanako C, Konishi, Teppei, Grynkiewicz, Mateusz, Komura, Daisuke, Ishikawa, Shumpei, Watanabe, Kenichi, Takahashi, Masato, Hatanaka, Yutaka

“…e13608 Background: The importance of accurately understanding the status of tumor-infiltrating lymphocytes (TILs) in the preoperative chemotherapy context, for…”
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Deep learning-based quantitative assessment of tumor-infiltrating lymphocytes from hematoxylin and eosin-stained slides in triple-negative breast cancer: A prognostic study by Kobayashi, Takuma, Hatanaka, Kanako C, Tomioka, Nobumoto, Konishi, Teppei, Grynkiewicz, Mateusz, Komura, Daisuke, Ishikawa, Shumpei, Watanabe, Kenichi, Takahashi, Masato, Hatanaka, Yutaka

“…553 Background: Tumor-infiltrating lymphocytes (TILs) are pivotal in predicting responses to preoperative chemotherapy in triple-negative breast cancer. Yet,…”
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Deep learning-based approach to predict multiple genetic mutations in colorectal and lung cancer tissues using hematoxylin and eosin-stained whole-slide images by Konishi, Teppei, Grynkiewicz, Mateusz, Saito, Keita, Kobayashi, Takuma, Goto, Akiteru, Umakoshi, Michinobu, Iwata, Takashi, Nishio, Hiroshi, Katoh, Yuki, Fujita, Tomonobu, Matsui, Tomoya, Sugawara, Masaki, Sano, Hiroyuki

“…1549 Background: The presence of genetic mutations is a vital prognostic in many types of cancer. However, genomic testing is expensive and challenging to…”
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Novel deep learning–based prognostic prediction model for colorectal cancer using hematoxylin and eosin–stained whole slide images by Konishi, Teppei, Grynkiewicz, Mateusz, Saito, Keita, Kobayashi, Takuma, Goto, Akiteru, Umakoshi, Michinobu, Iwata, Takashi, Nishio, Hiroshi, Katoh, Yuki, Fujita, Tomonobu, Matsui, Tomoya, Sugawara, Masaki, Sano, Hiroyuki

“…3119 Background: Previous studies have shown that the presence or absence of genetic mutations is critical for colorectal cancer prognosis. However, genomic…”
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Estimating customer preference through store check-in histories and its use in visitor promotion by Doi, Chiaki, Katagiri, Masaji, Ishii, Akira, Konishi, Teppei, Araki, Takashi, Ohta, Ken, Ikeda, Daizo, Inamura, Hiroshi, Shigeno, Hiroshi

“…This paper proposes a method to estimate the preference of customers based on store check-in histories. The proposed method can distinguish the preferences of…”
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