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Biomedical Physics & Engineering Express
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June 11, 2026
Transformer Imputation in CTG: A Length-Dependent Evaluation of Reconstruction Methods
Yuta Hirono, Chiharu Kai, Sachi Ishizuka, et al.
Nihon Hoshasen Gijutsu Gakkai Zasshi
|
December 21, 2018
[Quantitation of Cerebral Atrophy due to Normal Aging: Principal Component Analysis with MR Images in Patients' Age Groups]
Chiharu Kai, Yoshikazu Uchiyama, Junji Shiraishi, et al.
Radiological Physics and Technology
|
May 12, 2018
Computer-aided diagnosis with radiogenomics: analysis of the relationship between genotype and morphological changes of the brain magnetic resonance images
Chiharu Kai, Yoshikazu Uchiyama, Junji Shiraishi, et al.
Nihon Hoshasen Gijutsu Gakkai Zasshi
|
January 22, 2019
[Selection of Radiomic Features for the Classification of Triple-negative Breast Cancer Based on Radiogenomics]
Chiharu Kai, Mako Ishimaru, Yoshikazu Uchiyama, et al.
Cureus
|
July 19, 2024
The Usefulness of the Breast Density Assessment Application Used by Breast Radiologists
Chiharu Kai, Takako Morita, Ikumi Sato, et al.
Frontiers in Medicine
|
April 10, 2025
Utility of osteoporosis screening based on estimation of bone mineral density using bidirectional chest radiographs with deep learning models
Akifumi Yoshida, Yoichi Sato, Chiharu Kai, et al.
Cureus
|
April 14, 2025
Artificial Intelligence System for Automatic Mammary Region Extraction Using Semi-subjective Corrected Region for Breast Composition Evaluation
Sachi Ishizuka, Chiharu Kai, Tsunehiro Ohtsuka, et al.
Bioengineering (Basel, Switzerland)
|
July 27, 2024
The Approach to Sensing the True Fetal Heart Rate for CTG Monitoring: An Evaluation of Effectiveness of Deep Learning with Doppler Ultrasound Signals
Yuta Hirono, Ikumi Sato, Chiharu Kai, et al.
Frontiers in Oncology
|
March 20, 2024
Identifying factors that indicate the possibility of non-visible cases on mammograms using mammary gland content ratio estimated by artificial intelligence
Chiharu Kai, Tsunehiro Otsuka, Miyako Nara, et al.
European Journal of Radiology Open
|
July 12, 2026
Feasibility of opportunistic screening for preserved ratio impaired spirometry using chest radiography-based deep learning models
Akifumi Yoshida, Chiharu Kai, Ikumi Sato, et al.
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Search research articles
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Showing results (1-10 of 18) with videos related to
Sort By:
Page
of 2
Biomedical Physics & Engineering Express
|
June 11, 2026
Transformer Imputation in CTG: A Length-Dependent Evaluation of Reconstruction Methods
Yuta Hirono, Chiharu Kai, Sachi Ishizuka, et al.
Nihon Hoshasen Gijutsu Gakkai Zasshi
|
December 21, 2018
[Quantitation of Cerebral Atrophy due to Normal Aging: Principal Component Analysis with MR Images in Patients' Age Groups]
Chiharu Kai, Yoshikazu Uchiyama, Junji Shiraishi, et al.
Radiological Physics and Technology
|
May 12, 2018
Computer-aided diagnosis with radiogenomics: analysis of the relationship between genotype and morphological changes of the brain magnetic resonance images
Chiharu Kai, Yoshikazu Uchiyama, Junji Shiraishi, et al.
Nihon Hoshasen Gijutsu Gakkai Zasshi
|
January 22, 2019
[Selection of Radiomic Features for the Classification of Triple-negative Breast Cancer Based on Radiogenomics]
Chiharu Kai, Mako Ishimaru, Yoshikazu Uchiyama, et al.
Cureus
|
July 19, 2024
The Usefulness of the Breast Density Assessment Application Used by Breast Radiologists
Chiharu Kai, Takako Morita, Ikumi Sato, et al.
Frontiers in Medicine
|
April 10, 2025
Utility of osteoporosis screening based on estimation of bone mineral density using bidirectional chest radiographs with deep learning models
Akifumi Yoshida, Yoichi Sato, Chiharu Kai, et al.
Cureus
|
April 14, 2025
Artificial Intelligence System for Automatic Mammary Region Extraction Using Semi-subjective Corrected Region for Breast Composition Evaluation
Sachi Ishizuka, Chiharu Kai, Tsunehiro Ohtsuka, et al.
Bioengineering (Basel, Switzerland)
|
July 27, 2024
The Approach to Sensing the True Fetal Heart Rate for CTG Monitoring: An Evaluation of Effectiveness of Deep Learning with Doppler Ultrasound Signals
Yuta Hirono, Ikumi Sato, Chiharu Kai, et al.
Frontiers in Oncology
|
March 20, 2024
Identifying factors that indicate the possibility of non-visible cases on mammograms using mammary gland content ratio estimated by artificial intelligence
Chiharu Kai, Tsunehiro Otsuka, Miyako Nara, et al.
European Journal of Radiology Open
|
July 12, 2026
Feasibility of opportunistic screening for preserved ratio impaired spirometry using chest radiography-based deep learning models
Akifumi Yoshida, Chiharu Kai, Ikumi Sato, et al.
Page
of 2