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Koutarou Matsumoto

Showing results (1-10 of 20) with videos related to

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Bioengineering (Basel, Switzerland)|December 23, 2023
Comparing the Robustness of ResNet, Swin-Transformer, and MLP-Mixer under Unique Distribution Shifts in Fundus ImagesKazuaki Ishihara, Koutarou Matsumoto
Studies in Health Technology and Informatics|January 4, 2018
Extracting Predictive Indicator for Prognosis of Cerebral Infarction Using Machine Learning TechniquesYasunobu Nohara, Koutarou Matsumoto, Naoki Nakashima
The Kurume Medical Journal|May 17, 2026
Development of Machine Learning Models to Predict Candidemia in Hospitalized Adult PatientsKenyu Hashimoto, Koutarou Matsumoto, Kenta Murotani
Computer Methods and Programs in Biomedicine|December 23, 2021
Explanation of machine learning models using shapley additive explanation and application for real data in hospitalYasunobu Nohara, Koutarou Matsumoto, Hidehisa Soejima, et al.
Stroke|March 27, 2020
Stroke Prognostic Scores and Data-Driven Prediction of Clinical Outcomes After Acute Ischemic StrokeKoutarou Matsumoto, Yasunobu Nohara, Hidehisa Soejima, et al.
Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation|January 9, 2026
Utility-weighted modified rankin scale scores in patients with ischemic stroke: a multicenter observational studyFumi Irie, Koutarou Matsumoto, Ryu Matsuo, et al.
Journal of the Neurological Sciences|May 17, 2025
Comparative analysis of prognostic scores for functional outcome after ischemic strokeFumi Irie, Koutarou Matsumoto, Ryu Matsuo, et al.
Studies in Health Technology and Informatics|January 25, 2024
Development of Machine Learning Prediction Models for Self-Extubation After Delirium Using Emergency Department DataKoutarou Matsumoto, Yasunobu Nohara, Mikako Sakaguchi, et al.
Journal of the American Heart Association|December 10, 2024
Machine Learning-Based Prediction for In-Hospital Mortality After Acute Intracerebral Hemorrhage Using Real-World Clinical and Image DataKoutarou Matsumoto, Kazuaki Ishihara, Katsuhiko Matsuda, et al.
JMIR Perioperative Medicine|October 26, 2023
Temporal Generalizability of Machine Learning Models for Predicting Postoperative Delirium Using Electronic Health Record Data: Model Development and Validation StudyKoutarou Matsumoto, Yasunobu Nohara, Mikako Sakaguchi, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Bioengineering (Basel, Switzerland)|December 23, 2023
Comparing the Robustness of ResNet, Swin-Transformer, and MLP-Mixer under Unique Distribution Shifts in Fundus ImagesKazuaki Ishihara, Koutarou Matsumoto
Studies in Health Technology and Informatics|January 4, 2018
Extracting Predictive Indicator for Prognosis of Cerebral Infarction Using Machine Learning TechniquesYasunobu Nohara, Koutarou Matsumoto, Naoki Nakashima
The Kurume Medical Journal|May 17, 2026
Development of Machine Learning Models to Predict Candidemia in Hospitalized Adult PatientsKenyu Hashimoto, Koutarou Matsumoto, Kenta Murotani
Computer Methods and Programs in Biomedicine|December 23, 2021
Explanation of machine learning models using shapley additive explanation and application for real data in hospitalYasunobu Nohara, Koutarou Matsumoto, Hidehisa Soejima, et al.
Stroke|March 27, 2020
Stroke Prognostic Scores and Data-Driven Prediction of Clinical Outcomes After Acute Ischemic StrokeKoutarou Matsumoto, Yasunobu Nohara, Hidehisa Soejima, et al.
Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation|January 9, 2026
Utility-weighted modified rankin scale scores in patients with ischemic stroke: a multicenter observational studyFumi Irie, Koutarou Matsumoto, Ryu Matsuo, et al.
Journal of the Neurological Sciences|May 17, 2025
Comparative analysis of prognostic scores for functional outcome after ischemic strokeFumi Irie, Koutarou Matsumoto, Ryu Matsuo, et al.
Studies in Health Technology and Informatics|January 25, 2024
Development of Machine Learning Prediction Models for Self-Extubation After Delirium Using Emergency Department DataKoutarou Matsumoto, Yasunobu Nohara, Mikako Sakaguchi, et al.
Journal of the American Heart Association|December 10, 2024
Machine Learning-Based Prediction for In-Hospital Mortality After Acute Intracerebral Hemorrhage Using Real-World Clinical and Image DataKoutarou Matsumoto, Kazuaki Ishihara, Katsuhiko Matsuda, et al.
JMIR Perioperative Medicine|October 26, 2023
Temporal Generalizability of Machine Learning Models for Predicting Postoperative Delirium Using Electronic Health Record Data: Model Development and Validation StudyKoutarou Matsumoto, Yasunobu Nohara, Mikako Sakaguchi, et al.
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