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Kei Ichiji

Showing results (1-10 of 24) with videos related to

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Medical Physics|May 17, 2015
Tracking tumor boundary in MV-EPID images without implanted markers: A feasibility studyXiaoyong Zhang, Noriyasu Homma, Kei Ichiji, et al.
Scientific Reports|November 4, 2023
How intra-source imbalanced datasets impact the performance of deep learning for COVID-19 diagnosis using chest X-ray imagesZhang Zhang, Xiaoyong Zhang, Kei Ichiji, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 15, 2021
Letter on Convergence of In-Parameter-Linear Nonlinear Neural Architectures With Gradient LearningsIvo Bukovsky, Gejza Dohnal, Peter M Benes, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Comparison of Visible and Infrared Video Plethysmography Captured from Different Regions of the Human FaceNorihiro Sugita, Tomoya Matsuzaki, Makoto Yoshizawa, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Estimation of Absolute Blood Pressure Using Video Images Captured at Different Heights from the HeartNorihiro Sugita, Taihei Noro, Makoto Yoshizawa, et al.
Medical & Biological Engineering & Computing|August 27, 2025
Deep learning-based dual-energy subtraction synthesis from single-energy kV x-ray fluoroscopy for markerless tumor trackingJiaoyang Wang, Kei Ichiji, Yuwen Zeng, et al.
IEEE Journal of Biomedical and Health Informatics|November 29, 2022
A 2.5D Deep Learning-Based Method for Drowning Diagnosis Using Post-Mortem Computed TomographyYuwen Zeng, Xiaoyong Zhang, Yusuke Kawasumi, et al.
Biomed Research International|April 21, 2015
A fast neural network approach to predict lung tumor motion during respiration for radiation therapy applicationsIvo Bukovsky, Noriyasu Homma, Kei Ichiji, et al.
Journal of Imaging Informatics in Medicine|December 19, 2025
Transformer-based Deep Learning Models with Shape Guidance for Predicting Breast Cancer in Mammography ImagesKengo Takahashi, Yuwen Zeng, Zhang Zhang, et al.
Physics in Medicine and Biology|August 8, 2014
A kernel-based method for markerless tumor tracking in kV fluoroscopic imagesXiaoyong Zhang, Noriyasu Homma, Kei Ichiji, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Medical Physics|May 17, 2015
Tracking tumor boundary in MV-EPID images without implanted markers: A feasibility studyXiaoyong Zhang, Noriyasu Homma, Kei Ichiji, et al.
Scientific Reports|November 4, 2023
How intra-source imbalanced datasets impact the performance of deep learning for COVID-19 diagnosis using chest X-ray imagesZhang Zhang, Xiaoyong Zhang, Kei Ichiji, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 15, 2021
Letter on Convergence of In-Parameter-Linear Nonlinear Neural Architectures With Gradient LearningsIvo Bukovsky, Gejza Dohnal, Peter M Benes, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Comparison of Visible and Infrared Video Plethysmography Captured from Different Regions of the Human FaceNorihiro Sugita, Tomoya Matsuzaki, Makoto Yoshizawa, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Estimation of Absolute Blood Pressure Using Video Images Captured at Different Heights from the HeartNorihiro Sugita, Taihei Noro, Makoto Yoshizawa, et al.
Medical & Biological Engineering & Computing|August 27, 2025
Deep learning-based dual-energy subtraction synthesis from single-energy kV x-ray fluoroscopy for markerless tumor trackingJiaoyang Wang, Kei Ichiji, Yuwen Zeng, et al.
IEEE Journal of Biomedical and Health Informatics|November 29, 2022
A 2.5D Deep Learning-Based Method for Drowning Diagnosis Using Post-Mortem Computed TomographyYuwen Zeng, Xiaoyong Zhang, Yusuke Kawasumi, et al.
Biomed Research International|April 21, 2015
A fast neural network approach to predict lung tumor motion during respiration for radiation therapy applicationsIvo Bukovsky, Noriyasu Homma, Kei Ichiji, et al.
Journal of Imaging Informatics in Medicine|December 19, 2025
Transformer-based Deep Learning Models with Shape Guidance for Predicting Breast Cancer in Mammography ImagesKengo Takahashi, Yuwen Zeng, Zhang Zhang, et al.
Physics in Medicine and Biology|August 8, 2014
A kernel-based method for markerless tumor tracking in kV fluoroscopic imagesXiaoyong Zhang, Noriyasu Homma, Kei Ichiji, et al.
Pageof 3