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Shoichi Ishida

Showing results (1-10 of 22) with videos related to

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BMJ Case Reports|May 19, 2026
Extensive impending bowel ischaemia due to isolated superior mesenteric artery dissectionAkiko Hirata, Shoichi Ishida, Naoki Yonezawa
Journal of Cheminformatics|April 23, 2025
GESim: ultrafast graph-based molecular similarity calculation via von Neumann graph entropyHiroaki Shiokawa, Shoichi Ishida, Kei Terayama
Biophysics and Physicobiology|March 18, 2024
Quantitative analysis of protein dynamics using a deep learning technique combined with experimental cryo-EM density data and MD simulationsShigeyuki Matsumoto, Shoichi Ishida, Kei Terayama, et al.
Journal of Cheminformatics|March 25, 2025
Large language models open new way of AI-assisted molecule design for chemistsShoichi Ishida, Tomohiro Sato, Teruki Honma, et al.
Scientific Reports|April 10, 2026
Assessing the performance of multimodal large language models in experimental information extraction from liquid-liquid phase separation literatureKa Yin Chin, Satoru Fujii, Shoichi Ishida, et al.
BMC Bioinformatics|April 2, 2024
Predicting condensate formation of protein and RNA under various environmental conditionsKa Yin Chin, Shoichi Ishida, Yukio Sasaki, et al.
Journal of Chemical Information and Modeling|November 27, 2019
Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional NetworksShoichi Ishida, Kei Terayama, Ryosuke Kojima, et al.
Journal of Chemical Information and Modeling|March 8, 2022
AI-Driven Synthetic Route Design Incorporated with Retrosynthesis KnowledgeShoichi Ishida, Kei Terayama, Ryosuke Kojima, et al.
Royal Society Open Science|August 2, 2024
Combining three-dimensional acoustic coring and a convolutional neural network to quantify species contributions to benthic ecosystemsKatsunori Mizuno, Kei Terayama, Shoichi Ishida, et al.
Journal of Cheminformatics|January 12, 2021
kGCN: a graph-based deep learning framework for chemical structuresRyosuke Kojima, Shoichi Ishida, Masateru Ohta, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
BMJ Case Reports|May 19, 2026
Extensive impending bowel ischaemia due to isolated superior mesenteric artery dissectionAkiko Hirata, Shoichi Ishida, Naoki Yonezawa
Journal of Cheminformatics|April 23, 2025
GESim: ultrafast graph-based molecular similarity calculation via von Neumann graph entropyHiroaki Shiokawa, Shoichi Ishida, Kei Terayama
Biophysics and Physicobiology|March 18, 2024
Quantitative analysis of protein dynamics using a deep learning technique combined with experimental cryo-EM density data and MD simulationsShigeyuki Matsumoto, Shoichi Ishida, Kei Terayama, et al.
Journal of Cheminformatics|March 25, 2025
Large language models open new way of AI-assisted molecule design for chemistsShoichi Ishida, Tomohiro Sato, Teruki Honma, et al.
Scientific Reports|April 10, 2026
Assessing the performance of multimodal large language models in experimental information extraction from liquid-liquid phase separation literatureKa Yin Chin, Satoru Fujii, Shoichi Ishida, et al.
BMC Bioinformatics|April 2, 2024
Predicting condensate formation of protein and RNA under various environmental conditionsKa Yin Chin, Shoichi Ishida, Yukio Sasaki, et al.
Journal of Chemical Information and Modeling|November 27, 2019
Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional NetworksShoichi Ishida, Kei Terayama, Ryosuke Kojima, et al.
Journal of Chemical Information and Modeling|March 8, 2022
AI-Driven Synthetic Route Design Incorporated with Retrosynthesis KnowledgeShoichi Ishida, Kei Terayama, Ryosuke Kojima, et al.
Royal Society Open Science|August 2, 2024
Combining three-dimensional acoustic coring and a convolutional neural network to quantify species contributions to benthic ecosystemsKatsunori Mizuno, Kei Terayama, Shoichi Ishida, et al.
Journal of Cheminformatics|January 12, 2021
kGCN: a graph-based deep learning framework for chemical structuresRyosuke Kojima, Shoichi Ishida, Masateru Ohta, et al.
Pageof 3