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3,114 results on '"Tanaka, Kenichi A."'

18. Rationale and design of an investigator-initiated, multicenter, prospective, placebo-controlled, double-blind, randomized trial to evaluate the effects of finerenone on vascular stiffness and cardiorenal biomarkers in type 2 diabetes and chronic kidney disease (FIVE-STAR)

Author

Tanaka, Atsushi, Shibata, Hirotaka, Imai, Takumi, Yoshida, Hisako, Miyazono, Motoaki, Takahashi, Naohiko, Fukuda, Daiju, Okada, Yosuke, Teragawa, Hiroki, Suwa, Satoru, Kida, Keisuke, Moroi, Masao, Taguchi, Isao, Toyoda, Shigeru, Shimabukuro, Michio, Tanabe, Kengo, Tanaka, Kenichi, Nangaku, Masaomi, and Node, Koichi

Published
2023
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24. Tumor-to-blood pool ratio of 18F-fluorodeoxyglucose-positron emission tomography's standardized uptake value as a useful parameter indicating malignant transformation in pancreatic branch-duct intraductal papillary mucinous neoplasm compared to the international Fukuoka guidelines: a retrospective cohort study from surgical resections

Author

Suto, Hironobu, Ando, Yasuhisa, Matsukawa, Hiroyuki, Oshima, Minoru, Kamada, Hideki, Kobara, Hideki, Masaki, Tsutomu, Tanaka, Kenichi, Norikane, Takashi, Nishiyama, Yoshihiro, Hirao, Tomohiro, Kumamoto, Kensuke, and Okano, Keiichi

Published
2024
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25. Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders

Author

Habaragamuwa, Harshana, Oishi, Yu, and Tanaka, Kenichi

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, I.2.6, I.2.10, I.2.1
Abstract

Agricultural image recognition tasks are becoming increasingly dependent on deep learning (DL); however, despite the excellent performance of DL, it is difficult to comprehend the type of logic or features of the input image it uses during decision making. Knowing the logic or features is highly crucial for result verification, algorithm improvement, training data improvement, and knowledge extraction. However, the explanations from the current heatmap-based algorithms are insufficient for the abovementioned requirements. To address this, this paper details the development of a classification and explanation method based on a variational autoencoder (VAE) architecture, which can visualize the variations of the most important features by visualizing the generated images that correspond to the variations of those features. Using the PlantVillage dataset, an acceptable level of explainability was achieved without sacrificing the classification accuracy. The proposed method can also be extended to other crops as well as other image classification tasks. Further, application systems using this method for disease identification tasks, such as the identification of potato blackleg disease, potato virus Y, and other image classification tasks, are currently being developed., Comment: 55 pages, 24 figures, 2 tables

Published
2021

30. Stochastic Threshold Model Trees: A Tree-Based Ensemble Method for Dealing with Extrapolation

Author

Numata, Kohei and Tanaka, Kenichi

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning, I.6.5
Abstract

In the field of chemistry, there have been many attempts to predict the properties of unknown compounds from statistical models constructed using machine learning. In an area where many known compounds are present (the interpolation area), an accurate model can be constructed. In contrast, data in areas where there are no known compounds (the extrapolation area) are generally difficult to predict. However, in the development of new materials, it is desirable to search this extrapolation area and discover compounds with unprecedented physical properties. In this paper, we propose Stochastic Threshold Model Trees (STMT), an extrapolation method that reflects the trend of the data, while maintaining the accuracy of conventional interpolation methods. The behavior of STMT is confirmed through experiments using both artificial and real data. In the case of the real data, although there is no significant overall improvement in accuracy, there is one compound for which the prediction accuracy is notably improved, suggesting that STMT reflects the data trends in the extrapolation area. We believe that the proposed method will contribute to more efficient searches in situations such as new material development., Comment: Code is available at https://github.com/funatsu-lab/Stochastic-Threshold-Model-Trees

Published
2020

33. Defining heparin resistance: communication from the ISTH SSC Subcommittee of Perioperative and Critical Care Thrombosis and Hemostasis

Author

Levy, Jerrold H., Sniecinski, Roman M., Rocca, Bianca, Ghadimi, Kamrouz, Douketis, James, Frere, Corinne, Helms, Julie, Iba, Toshiaki, Koster, Andreas, Lech, Tara K., Maier, Cheryl L., Neal, Mathew D., Scarlestscu, Ecatarina, Spyropoulos, Alex, Steiner, Marie E., Tafur, Alfonso J., Tanaka, Kenichi A., and Connors, Jean M.

Published
2023
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39. Possible mechanism for improving the endogenous immune system through the blockade of peripheral μ-opioid receptors by treatment with naldemedine

Author

Gondoh, Eizoh, Hamada, Yusuke, Mori, Tomohisa, Iwazawa, Yusuke, Shinohara, Asami, Narita, Michiko, Sato, Daisuke, Tezuka, Hiroyuki, Yamauchi, Takayasu, Tsujimura, Mayu, Yoshida, Sara, Tanaka, Kenichi, Yamashita, Kensuke, Akatori, Haruka, Higashiyama, Kimio, Arakawa, Kazuhiko, Suda, Yukari, Miyano, Kanako, Iseki, Masako, Inada, Eiichi, Kuzumaki, Naoko, and Narita, Minoru

Published
2022
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43. Transfusion practice in patients receiving VV ECMO (PROTECMO): a prospective, multicentre, observational study

Author

Martucci, Gennaro, Arcadipane, Antonio, Pesenti, Antonio, Grasselli, Giacomo, Brioni, Matteo, De Pascale, Gennaro, Montini, Luca, Giani, Marco, Foti, Giuseppe, Bosa, Linda, Curcio, Pierfrancesco, Fanelli, Vito, Garofalo, Eugenio, Martin-Villen, Luis, Garcìa-Álvarez, Raquel, Lopez Sanchez, Marta, Principe, Nuno, Chica Saez, Violeta, Chico, Juan Ignacio, Gomez, Vanesa, Colomina-Climent, Joaquin, Riera, Jordi, Pacheco, Andres Francisco, Gorjup, Vojka, Goutay, Julien, Thibault, Duburcq, Szułdrzyński, Konstanty, Eller, Philipp, Lobmeyr, Elisabeth, Schellongowski, Peter, Schmidt, Matthieu, Combes, Alain, Lorusso, Roberto, Mariani, Silvia, Ranieri, Marco V., Suk, Pavel, Maly, Michal, Balik, Martin, Forestier, Jakob, Broman, Lars Mikael, Rizzo, Monica, Tuzzolino, Fabio, Tanaka, Kenichi, Holsworth, Tyler, Trethowan, Brian, Serra, Alexis, Agerstrand, Cara, Brodie, Dan, Cavayas, Yiorgos Alexandros, Tabatabai, Ali, Menaker, Jay, Galvagno, Samuel, Gannon, Whitney D., Rice, Todd W., Grandin, Wilson E., Nunez, Jose, Cheplic, Collette, Ramanan, Raj, Rivosecchi, Ryan, Cho, Young-Jae, Buabbas, Sarah, Jeon, Kyeongman, Kwan, Ming Chit, Sallam, Hend, Villanueva, Joy Ann, Aliudin, Jeffrey, Ait Hssain, Ali, Hoshino, Kota, Hara, Yoshitaka, Ramanathan, Kollengode, Maclaren, Graeme, Buscher, Hergen, Hssain, Ali Ait, Duburcq, Thibault, Gannon, Whitney D, Chico, Juan I, Broman, Lars M, Ranieri, Marco V, and Brodie, Daniel

Published
2023
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46. Impact of lifestyle and psychosocial factors on the onset of hypertension after the Great East Japan earthquake: a 7-year follow-up of the Fukushima Health Management Survey

Author

Kobari, Eri, Tanaka, Kenichi, Nagao, Masanori, Okazaki, Kanako, Hayashi, Fumikazu, Kazama, Sakumi, Ohira, Tetsuya, Yasumura, Seiji, Shimabukuro, Michio, Maeda, Masaharu, Sakai, Akira, Yabe, Hirooki, Hosoya, Mitsuaki, Takahashi, Atsushi, Harigane, Mayumi, Ohto, Hitoshi, Kamiya, Kenji, and Kazama, Junichiro James

Published
2022
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48. Network Technologies for SDM

Author

Klaus, Werner, Sakaguchi, Jun, Puttnam, Benjamin J., Kikuchi, Nobuhiko, Lee, Yong, Tanaka, Kenichi, Lotsch, H.K.V., Founding Editor, Rhodes, William T., Editor-in-Chief, Adibi, Ali, Series Editor, Asakura, Toshimitsu, Series Editor, Hänsch, Theodor W., Series Editor, Krausz, Ferenc, Series Editor, Masters, Barry R., Series Editor, Midorikawa, Katsumi, Series Editor, Venghaus, Herbert, Series Editor, Weber, Horst, Series Editor, Weinfurter, Harald, Series Editor, Kobayashi, Kazuya, Series Editor, Markel, Vadim, Series Editor, Nakazawa, Masataka, editor, Suzuki, Masatoshi, editor, Awaji, Yoshinari, editor, and Morioka, Toshio, editor

Published
2022
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