Masuda, Nozomi
113  results:
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1

Do Young People in Regional Cities of Japan Really Shift Aw..:

, In: New Frontiers in Artificial Intelligence; Lecture Notes in Computer Science,
Ueno, Akiko ; Okiyama, Yuko ; Masuda, Nozomi... - p. 226-241 , 2024
 
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3

Regulation of Saccharide Binding with Basic Poly(ethynylpyr..:

Abe, Hajime ; Masuda, Nozomi ; Waki, Minoru.
Journal of the American Chemical Society.  127 (2005)  46 - p. 16189-16196 , 2005
 
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7

Geographic disparity of pathophysiological coronary artery ..:

Kotoku, Nozomi ; Ninomiya, Kai ; Masuda, Shinichiro...
International Journal of Cardiology.  400 (2024)  - p. 131805 , 2024
 
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9

Coronary computed tomography angiography-based SYNTAX score..:

Kageyama, Shigetaka ; Serruys, Patrick W. ; Kotoku, Nozomi...
Journal of Cardiovascular Computed Tomography.  18 (2024)  2 - p. 120-136 , 2024
 
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10

Anonymous Comparative Assessment by an Academic Core Labora..:

Serruys, Patrick ; Ninomiya, Kai ; Zhou, Jinying...
Cardiovascular Revascularization Medicine.  53 (2023)  - p. S80 , 2023
 
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11

Can machine learning unravel unsuspected, clinically import..:

Ninomiya, Kai ; Kageyama, Shigetaka ; Garg, Scot...
European Heart Journal - Digital Health.  4 (2023)  3 - p. 275-278 , 2023
 
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12

Murray law-based quantitative flow ratio to assess left mai..:

Kotoku, Nozomi ; Ninomiya, Kai ; Ding, Daixin...
The International Journal of Cardiovascular Imaging.  40 (2023)  1 - p. 195-206 , 2023
 
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13

A 30-Day Pooled Analysis of Acetyl Salicylic Elimination Tr..:

Onuma, Yoshinobu ; Masuda, Shinichiro ; Muramatsu, Takashi...
Cardiovascular Revascularization Medicine.  53 (2023)  - p. S25-S26 , 2023
 
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14

Can a Machine Learning-Based Approach Improve Risk Predicti..:

Ninomiya, Kai ; Kageyama, Shigetaka ; Shiomi, Hiroki...
Cardiovascular Revascularization Medicine.  53 (2023)  - p. S44-S45 , 2023
 
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