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Naonori Ueda

Showing results (11-20 of 17) with videos related to

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Neural Computation|July 26, 2007
Parametric embedding for class visualizationTomoharu Iwata, Kazumi Saito, Naonori Ueda, et al.
Biology Methods & Protocols|June 26, 2026
Nonlinear combinatorial analysis of blood transcriptomes identifies PRKAR1A as a regulator of TDP-43 pathophysiology in amyotrophic lateral sclerosisKeiko Imamura, Ayako Nagahashi, Aya Okusa, et al.
Cancer Science|November 18, 2024
Current status and future direction of cancer research using artificial intelligence for clinical applicationRyuji Hamamoto, Masaaki Komatsu, Masayoshi Yamada, et al.
Nature Communications|December 20, 2019
Automated acquisition of explainable knowledge from unannotated histopathology imagesYoichiro Yamamoto, Toyonori Tsuzuki, Jun Akatsuka, et al.
Journal of Medical Internet Research|January 30, 2015
Health checkup and telemedical intervention program for preventive medicine in developing countries: verification studyYasunobu Nohara, Eiko Kai, Partha Pratim Ghosh, et al.
NPJ Digital Medicine|December 3, 2025
Clinically informed intermediate reasoning enables generalizable prostate cancer prognostication through machine learning in limited settingsJun Akatsuka, Kotaro Tsutsumi, Mami Takadate, et al.
Briefings in Bioinformatics|April 14, 2026
Subset binding enables detection of multimodal patient subgroup patterns and drug target discovery in idiopathic pulmonary fibrosisYayoi Natsume-Kitatani, Mari N Itoh, Yoshito Takeda, et al.
Pageof 2

Showing results (11-20 of 17) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 17 results.
Neural Computation|July 26, 2007
Parametric embedding for class visualizationTomoharu Iwata, Kazumi Saito, Naonori Ueda, et al.
Biology Methods & Protocols|June 26, 2026
Nonlinear combinatorial analysis of blood transcriptomes identifies PRKAR1A as a regulator of TDP-43 pathophysiology in amyotrophic lateral sclerosisKeiko Imamura, Ayako Nagahashi, Aya Okusa, et al.
Cancer Science|November 18, 2024
Current status and future direction of cancer research using artificial intelligence for clinical applicationRyuji Hamamoto, Masaaki Komatsu, Masayoshi Yamada, et al.
Nature Communications|December 20, 2019
Automated acquisition of explainable knowledge from unannotated histopathology imagesYoichiro Yamamoto, Toyonori Tsuzuki, Jun Akatsuka, et al.
Journal of Medical Internet Research|January 30, 2015
Health checkup and telemedical intervention program for preventive medicine in developing countries: verification studyYasunobu Nohara, Eiko Kai, Partha Pratim Ghosh, et al.
NPJ Digital Medicine|December 3, 2025
Clinically informed intermediate reasoning enables generalizable prostate cancer prognostication through machine learning in limited settingsJun Akatsuka, Kotaro Tsutsumi, Mami Takadate, et al.
Briefings in Bioinformatics|April 14, 2026
Subset binding enables detection of multimodal patient subgroup patterns and drug target discovery in idiopathic pulmonary fibrosisYayoi Natsume-Kitatani, Mari N Itoh, Yoshito Takeda, et al.
Pageof 2