Kei Ichiji
Orcid: 0000-0002-0072-1399
According to our database1,
Kei Ichiji
authored at least 24 papers
between 2010 and 2023.
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Bibliography
2023
Letter on Convergence of In-Parameter-Linear Nonlinear Neural Architectures With Gradient Learnings.
IEEE Trans. Neural Networks Learn. Syst., August, 2023
A 2.5D Deep Learning-Based Method for Drowning Diagnosis Using Post-Mortem Computed Tomography.
IEEE J. Biomed. Health Informatics, February, 2023
How Different Data Sources Impact Deep Learning Performance in COVID-19 Diagnosis using Chest X-ray Images.
Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023
2022
Improved Tumor Image Estimation in X-Ray Fluoroscopic Images by Augmenting 4DCT Data for Radiotherapy.
J. Adv. Comput. Intell. Intell. Informatics, 2022
2021
Deep Learning-Based Interpretable Computer-Aided Diagnosis of Drowning for Forensic Radiology.
Proceedings of the 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2021
Proceedings of the 3rd IEEE Global Conference on Life Sciences and Technologies, 2021
Deep CNN-Based Computer-Aided Diagnosis for Drowning Detection using Post-mortem Lungs CT Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Comparison of Visible and Infrared Video Plethysmography Captured from Different Regions of the Human Face.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
A Deep Learning Aided Drowning Diagnosis for Forensic Investigations using Post-Mortem Lung CT Images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Human ability enhancement for reading mammographic masses by a deep learning technique.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Estimation of Absolute Blood Pressure Using Video Images Captured at Different Heights from the Heart.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
An Optimization Technique to Extract Video Pulse Wave for Non-Contact Remote Monitoring of Autonomic Nervous System and Blood Pressure Variability.
Proceedings of the IEEE 7th Global Conference on Consumer Electronics, 2018
2017
Higher Order Neural Units for Efficient Adaptive Control of Weakly Nonlinear Systems.
Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017
Framework for Discrete-Time Model Reference Adaptive Control of Weakly Nonlinear Systems with HONUs.
Proceedings of the Computational Intelligence - 9th International Joint Conference, 2017
2015
Proceedings of the 2015 International Workshop on Computational Intelligence for Multimedia Understanding, 2015
A real-time feature-based markerless tumor tracking method using X-ray image sequence for radiotherapy.
Proceedings of the 2015 International Workshop on Computational Intelligence for Multimedia Understanding, 2015
2014
A Faster 1-D Phase-Only Correlation-Based Method for Estimations of Translations, Rotation and Scaling in Images.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014
Study of Learning Entropy for Novelty Detection in lung tumor motion prediction for target tracking radiation therapy.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
A Time-Varying Seasonal Autoregressive Model-Based Prediction of Respiratory Motion for Tumor following Radiotherapy.
Comput. Math. Methods Medicine, 2013
2012
Tumor image extraction from fluoroscopy for a markerless lung tumor motion tracking and prediction.
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012
Respiratory motion prediction for tumor following radiotherapy by using time-variant seasonal autoregressive techniques.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Intelligent sensing of biomedical signals - Lung tumor motion prediction for accurate radiotherapy.
Proceedings of the 2011 IEEE Workshop On Merging Fields Of Computational Intelligence And Sensor Technology, 2011
2010
Testing potentials of dynamic quadratic neural unit for prediction of lung motion during respiration for tracking radiation therapy.
Proceedings of the International Joint Conference on Neural Networks, 2010