Noriyasu Homma

发表

Non-contact blood pressure estimation using video pulse waves for ubiquitous health monitoring

Tomoyuki Yambe, Makoto Yoshizawa, Akira Tanaka, 2017, 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE).

A Deep Learning Aided Drowning Diagnosis for Forensic Investigations using Post-Mortem Lung CT Images

Makoto Yoshizawa, Akihito Usui, Norihiro Sugita, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Feedback Binary Associative Memories

Liang Jin, Noriyasu Homma, Madan M. Gupta, 2003 .

An Analysis of the Learning Process on Manual Control of Nonholonomic Systems

Makoto Yoshizawa, Noriyasu Homma, Takakuni Goto, 2006 .

Human ability enhancement for reading mammographic masses by a deep learning technique

Noriyasu Homma, Ivo Bukovsky, Kei Ichiji, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Lung area extraction from X-ray CT images for computer-aided diagnosis of pulmonary nodules by using active contour model

Makoto Yoshizawa, Noriyasu Homma, Tadashi Ishibashi, 2009 .

Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory

Madan M. Gupta, Liang Jin, Noriyasu Homma, 2003 .

A Faster 1-D Phase-Only Correlation-Based Method for Estimations of Translations, Rotation and Scaling in Images

Makoto Yoshizawa, Norihiro Sugita, Makoto Abe, 2014, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Type-One Fuzzy Logic for Quantitatively Defining Imprecise Linguistic Terms in Politics and Public Policy:

Noriyasu Homma, Zeng-Guang Hou, Ashu M. G. Solo, 2015 .

Is information and communication technology (ICT) a savior

Tomoyuki Yambe, Makoto Yoshizawa, Norihiro Sugita, 2011 .

Chapter 8 Fuzzy Neural Networks

Madan M. Gupta, Zeng-Guang Hou, Noriyasu Homma, 2006 .

Analysis ofHumanLearning Process onManualControl ofComplex Systems

Makoto Yoshizawa, Noriyasu Homma, Takakuni Goto, 2006 .

Higher Order Neural Units for Efficient Adaptive Control of Weakly Nonlinear Systems

Noriyasu Homma, Ivo Bukovsky, Kei Ichiji, 2017, IJCCI.

Speech recognition using pulse-coupled neural networks with a radial basis function

Masao Sakai, Noriyasu Homma, Kenichi Abe, 2004, Artificial Life and Robotics.

A Review of: “Static and Dynamic Neural Networks”

Liang Jin, Noriyasu Homma, Madan M. Gupta, 2005 .

Neural Units: Concepts, Models, and Learning

Madan M. Gupta, Liang Jin, Noriyasu Homma, 2003 .

Extraction of the Mayer wave component in blood pressure from the instantaneous phase difference between electrocardiograms and photoplethysmograms

Tomoyuki Yambe, Makoto Yoshizawa, Shin-ichi Nitta, 2010, Artificial Life and Robotics.

Cognitive and Neural Aspects in Robotics with Applications 2011

Zeng-Guang Hou, Noriyasu Homma, Madan M. Gupta, 2012, J. Robotics.

Application of a Telemedical Tool in an Isolated Island and a Disaster Area of the Great East Japan Earthquake

Tomoyuki Yambe, Makoto Yoshizawa, Shin-ichi Nitta, 2012, IEICE Trans. Commun..

Tumor motion tracking using kV/MV X-ray fluoroscopy for adaptive radiation therapy

Makoto Yoshizawa, Norihiro Sugita, Makoto Abe, 2015, 2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM).

Potentials of Quadratic Neural Unit for Applications

Noriyasu Homma, Ricardo Rodríguez Jorge, Ivo Bukovsky, 2011, Int. J. Softw. Sci. Comput. Intell..

An Approach to Stable Gradient-Descent Adaptation of Higher Order Neural Units

Noriyasu Homma, Ivo Bukovsky, N. Homma, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Adaptive Gaussian Mixture Model-Based Statistical Feature Extraction for Computer-Aided Diagnosis of Micro-Calcification Clusters in Mammograms

Zhang Zhang, Noriyasu Homma, Yumi Takane, 2020, SICE Journal of Control, Measurement, and System Integration.

Techniques for estimating blood pressure variation using video images

Makoto Yoshizawa, Akira Tanaka, Norihiro Sugita, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Emergence of Control Skill : Learning and Acquisition Process of Movement Control Under Autonomous Constraint

Noriyasu Homma, Takakuni Goto, Ryuta Kawashima, 2009 .

A Hybrid Image Filtering Method for Computer-Aided Detection of Microcalcification Clusters in Mammograms

Makoto Yoshizawa, Norihiro Sugita, Makoto Abe, 2013, Journal of medical engineering.

A real-time homography-based tracking method for tracking deformable tumor motion in fluoroscopy

Makoto Yoshizawa, Norihiro Sugita, Noriyasu Homma, 2016, 2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

Development of a virtual reality system to evaluate skills needed to drive a cycling wheel-chair

Makoto Yoshizawa, Akira Tanaka, Norihiro Sugita, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Appendix A: Current Bibliographic Sources on Neural Networks

Liang Jin, Noriyasu Homma, Madan M. Gupta, 2003 .

Learning Entropy as a Learning-Based Information Concept

Witold Kinsner, Noriyasu Homma, Ivo Bukovsky, 2019, Entropy.

A new method for computer aided detection of pulmonary nodules in X-ray CT images

Noriyasu Homma, Tadashi Ishibashi, Kazunori Takei, 2008 .

A STATISTICAL APPROXIMATION LEARNING METHOD FOR SIMULTANEOUS RECURRENT NETWORKS

Masao Sakai, Noriyasu Homma, Kenichi Abe, 2002 .

Radial Basis Function Neural Networks

Madan M. Gupta, Liang Jin, Noriyasu Homma, 2003 .

Shape features extraction from pulmonary nodules in X-ray CT images

Zeng-Guang Hou, Noriyasu Homma, Madan M. Gupta, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

ContinuousTime Dynamic Neural Networks

Madan M. Gupta, Liang Jin, Noriyasu Homma, 2003 .

Higher Order Neural Networks: Fundamental Theory and Applications

Madan M. Gupta, Zeng-Guang Hou, Noriyasu Homma, 2010 .

Learning and Adaptation in Dynamic Neural Networks

Madan M. Gupta, Liang Jin, Noriyasu Homma, 2003 .

Evaluation of temporal relationship between a physiological index and a subjective score using average mutual information

Shigeru Chiba, Tomoyuki Yambe, Makoto Yoshizawa, 2011, Displays.

A Time-Varying Seasonal Autoregressive Model-Based Prediction of Respiratory Motion for Tumor following Radiotherapy

Makoto Yoshizawa, Masao Sakai, Norihiro Sugita, 2013, Comput. Math. Methods Medicine.

Design of an Error-Based Adaptive Controller for a Flexible Robot Arm Using Dynamic Pole Motion Approach

Noriyasu Homma, Madan M. Gupta, Ki-Young Song, 2011, J. Robotics.

Analysis of Human Learning Process on Manual Control of Complex Systems

Makoto Yoshizawa, Noriyasu Homma, Takakuni Goto, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

How Can Brain Learn to Control a Nonholonomic System?

Shinpei Kato, Makoto Yoshizawa, Noriyasu Homma, 2010, J. Robotics.

Contactless Technique for Measuring Blood-Pressure Variability from One Region in Video Plethysmography

Tomoyuki Yambe, Makoto Yoshizawa, Akira Tanaka, 2019 .

Binary Neural Networks

Madan M. Gupta, Liang Jin, Noriyasu Homma, 2003 .

Study of Learning Entropy for Novelty Detection in lung tumor motion prediction for target tracking radiation therapy

Noriyasu Homma, Ivo Bukovsky, Kei Ichiji, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Intelligent sensing and monitoring : respiratory motion prediction for tumor following radiotherapy

Makoto Yoshizawa, Norihiro Sugita, Makoto Abe, 2012, SOCO 2012.

Multilayered Feedforward Neural Networks (MFNNs) and Backpropagation Learning Algorithms

Madan M. Gupta, Liang Jin, Noriyasu Homma, 2003 .

Evaluation of Motor Performances of Hemiplegic Patients Using a Virtual Cycling Wheelchair: An Exploratory Trial

Makoto Yoshizawa, Norihiro Sugita, Makoto Abe, 2013, Comput. Math. Methods Medicine.

Lung Tumor Motion Prediction by static neural networks

Noriyasu Homma, Ivo Bukovsky, Jiri Bila, 2012 .

Mass detection using deep convolutional neural network for mammographic computer-aided diagnosis

Makoto Yoshizawa, Norihiro Sugita, Noriyasu Homma, 2016, 2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

Dynamic Neural Units (DNUs): Nonlinear Models and Dynamics

Madan M. Gupta, Liang Jin, Noriyasu Homma, 2003 .

Tele-Echographic Image Archiving System Using a Tablet Computer and a Virtual Probe

Tomoyuki Yambe, Makoto Yoshizawa, Norihiro Sugita, 2013 .

Discrimination ability and reproducibility of a new index reflecting autonomic nervous function based on pulsatile amplitude of photoplethysmography

Tomoyuki Yambe, Makoto Yoshizawa, Akira Tanaka, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Adaptive polynomial filters with individual learning rates for computationally efficient lung tumor motion prediction

Noriyasu Homma, Ivo Bukovsky, Matous Cejnek, 2015, 2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM).

Volume registration based on 3-D phase correlation for tumor motion estimation in 4-D CT

Makoto Yoshizawa, Norihiro Sugita, Makoto Abe, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Auto-detection of non-isolated pulmonary nodules in X-ray CT images

Makoto Yoshizawa, Noriyasu Homma, Satoshi Shimoyama, 2009 .

Superimposing neural learning by dynamic and spatial changing weights

Madan M. Gupta, Noriyasu Homma, 2006, Artificial Life and Robotics.

A phased reinforcement learning algorithm for complex control problems

Makoto Yoshizawa, Noriyasu Homma, Takakuni Goto, 2007, Artificial Life and Robotics.

Blood perfusion display based on video pulse wave

Tomoyuki Yambe, Makoto Yoshizawa, Akira Tanaka, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Deep Learning-based Computer-aided Diagnosis System for Mammographic Lesion Detection

Makoto Yoshizawa, Noriyasu Homma, Shintaro Suzuki, 2018 .

WE-AB-303-02: A Real-Time Homography-Based Algorithm for Markerless Deformable Lung Tumor Motion Tracking Using KV X-Ray Fluoroscopy

Norihiro Sugita, Noriyasu Homma, Kei Ichiji, 2015 .

Fundamentals of Higher Order Neural Networks for Modeling and Simulation

Madan M. Gupta, Zeng-Guang Hou, Noriyasu Homma, 2013 .

Statistical Approximation Learning Method of Discontinuous Nonlinear Functions Using Simultaneous Recurrent Networks

Noriyasu Homma, Kenichi Abe, Masao Sakai, 2003 .

Solving convex optimization problems using recurrent neural networks in finite time

Long Cheng, Min Tan, Zeng-Guang Hou, 2009, 2009 International Joint Conference on Neural Networks.

Fuzzy Neural Networks

Madan M. Gupta, Zeng-Guang Hou, Noriyasu Homma, 2006, Feature Extraction.

Framework for Discrete-Time Model Reference Adaptive Control of Weakly Nonlinear Systems with HONUs

Noriyasu Homma, Ivo Bukovsky, Kei Ichiji, 2017, IJCCI.

A kernel-based method for markerless tumor tracking in kV fluoroscopic images

Makoto Yoshizawa, Norihiro Sugita, Makoto Abe, 2014, Physics in medicine and biology.

A kernel-based method for real-time markerless tumor tracking in fluoroscopic image sequence

Makoto Yoshizawa, Norihiro Sugita, Makoto Abe, 2013, The SICE Annual Conference 2013.

Neural Spike Communication under Noisy Environments

Noriyasu Homma, Madan M. Gupta, Koh Fuchigami, 2005, 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

A real-time feature-based markerless tumor tracking method using X-ray image sequence for radiotherapy

Makoto Yoshizawa, Noriyasu Homma, Xiaoyong Zhang, 2015, 2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM).

Cognitive and Neural Aspects in Robotics with Applications

Zeng-Guang Hou, Noriyasu Homma, Madan M. Gupta, 2010, J. Robotics.

Respiratory motion prediction for tumor following radiotherapy by using time-variant seasonal autoregressive techniques

Makoto Yoshizawa, Masao Sakai, Norihiro Sugita, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Comparison of Visible and Infrared Video Plethysmography Captured from Different Regions of the Human Face

Makoto Yoshizawa, Norihiro Sugita, Noriyasu Homma, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Estimation of Absolute Blood Pressure Using Video Images Captured at Different Heights from the Heart

Makoto Yoshizawa, Norihiro Sugita, Noriyasu Homma, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

INCREMENTAL NEURAL LEARNING BY DYNAMIC AND SPATIAL CHANGING WEIGHTS

Noriyasu Homma, Madan M. Gupta, 2002 .

Testing potentials of dynamic quadratic neural unit for prediction of lung motion during respiration for tracking radiation therapy

Makoto Yoshizawa, Noriyasu Homma, Ricardo Rodríguez Jorge, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Classification of mammographic masses by deep learning

Makoto Yoshizawa, Noriyasu Homma, Xiaoyong Zhang, 2017, 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

Noise resistance and enhancement of neural performance by using spike signals

Zeng-Guang Hou, Noriyasu Homma, Madan M. Gupta, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

CHAOTIC MODE TRANSITION DYNAMICS IN HUMAN CIRCULATORY SYSTEMS

Makoto Yoshizawa, Noriyasu Homma, Kenichi Abe, 2005 .

Methods for assessment of effects of habitual exercise on the autonomic nervous function using plethysmogram

Tomoyuki Yambe, Makoto Yoshizawa, Norihiro Sugita, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Study on general second-order neural units (SONUs)

Madan M. Gupta, Noriyasu Homma, 2002, Proceedings of the 5th Biannual World Automation Congress.

Tumor image extraction from fluoroscopy for a markerless lung tumor motion tracking and prediction

Makoto Yoshizawa, Norihiro Sugita, Noriyasu Homma, 2012, Medical Imaging.

Combinatorial effect of various features extraction on computer aided detection of pulmonary nodules in X-ray CT images

Noriyasu Homma, Tadashi Ishibashi, Kazunori Takei, 2008 .

An Optimization Technique to Extract Video Pulse Wave for Non-Contact Remote Monitoring of Autonomic Nervous System and Blood Pressure Variability

Tomoyuki Yambe, Makoto Yoshizawa, Akira Tanaka, 2018, 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE).

A new motion management method for lung tumor tracking radiation therapy

Makoto Yoshizawa, Masao Sakai, Noriyasu Homma, 2009 .

Physiological Evaluation of Visually Induced Motion Sickness Using Independent Component Analysis of Photoplethysmogram

Tomoyuki Yambe, Makoto Yoshizawa, Akira Tanaka, 2013 .

A study on the effect of morphological filters on computer-aided medical image diagnosis

Makoto Yoshizawa, Noriyasu Homma, Tadashi Ishibashi, 2009, Artificial Life and Robotics.

Sensitivity improvement of automatic pulmonary nodules detection in chest X-ray CT images

Makoto Yoshizawa, Noriyasu Homma, Tadashi Ishibashi, 2010, Artificial Life and Robotics.

Remote monitoring of autonomic nervous system indices using video cameras

Tomoyuki Yambe, Makoto Yoshizawa, Akira Tanaka, 2015, 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE).

References and BibliographyA classified extended bibliography is listed in Appendix B on the following ftp site: ftp://ftp.wiley.com/public/sci_tech_med/neural_networks/

Madan M. Gupta, Liang Jin, Noriyasu Homma, 2003 .

Fuzzy Sets and Fuzzy Neural Networks

Madan M. Gupta, Liang Jin, Noriyasu Homma, 2003 .

SU‐HH‐BRB‐10: Adaptive Seasonal Autoregressive Model Based Intrafractional Lung Tumor Motion Prediction for Continuously Irradiation

Makoto Yoshizawa, Noriyasu Homma, Kei Ichiji, 2010 .

Quadratic neural unit is a good compromise between linear models and neural networks for industrial applications

Noriyasu Homma, Ricardo Rodríguez Jorge, Ivo Bukovsky, 2010, 9th IEEE International Conference on Cognitive Informatics (ICCI'10).

Potential improvements of lung and prostate MLC tracking investigated by treatment simulations.

Floris Ernst, Noriyasu Homma, Paul J Keall, 2018, Medical physics.

Intelligent sensing of biomedical signals - Lung tumor motion prediction for accurate radiotherapy

Makoto Yoshizawa, Noriyasu Homma, Ivo Bukovsky, 2011, 2011 IEEE Workshop On Merging Fields Of Computational Intelligence And Sensor Technology.

Moving object segmentation in surveillance video based on adaptive mixtures

Makoto Yoshizawa, Norihiro Sugita, Makoto Abe, 2013, The SICE Annual Conference 2013.

Preface to Special Issue on New Trends in Computational Intelligence

Noriyasu Homma, 2018 .

Improving the Detection Algorithm for Life‐Threatening Arrhythmias: Implementation in Implantable Cardioverter‐Defibrillators

Makoto Yoshizawa, Norihiro Sugita, Noriyasu Homma, 2013 .

Foundation and Classification of Nonconventional Neural Units and Paradigm of Nonsynaptic Neural Interaction

Madan M. Gupta, Noriyasu Homma, Ivo Bukovsky, 2010 .

Fundamental Theory of Artificial Higher Order Neural Networks

Madan M. Gupta, Zeng-Guang Hou, Noriyasu Homma, 2009 .

Time series prediction of respiratory motion for lung tumor tracking radiation therapy

Masao Sakai, Noriyasu Homma, Yoshihiro Takai, 2009 .

Self-organizing neural networks by dynamic and spatial changing weights

Madan M. Gupta, Noriyasu Homma, M. Yoshizawa, 2003 .

Estimation of heart rate variability using a compact radiofrequency motion sensor.

Makoto Yoshizawa, Norihiro Sugita, Makoto Abe, 2015, Medical engineering & physics.

Neural Systems: An Introduction

Madan M. Gupta, Liang Jin, Noriyasu Homma, 2003 .

Evaluation of navigation skill of elderly people using the cycling wheel chair in a virtual environment

Makoto Yoshizawa, Akira Tanaka, Yasunobu Handa, 2013, 2013 IEEE Virtual Reality (VR).

Control of Chaos Dynamics in Jordan Recurrent Neural Networks

Masao Sakai, Noriyasu Homma, Kenichi Abe, 2001 .

Natural intelligence: noise-resistance of neural spike communication

Masao Sakai, Noriyasu Homma, Takakuni Goto, 2008, Artificial Life and Robotics.

Markerless Lung Tumor Motion Tracking by Dynamic Decomposition of X-Ray Image Intensity

Makoto Yoshizawa, Norihiro Sugita, Makoto Abe, 2013, Journal of medical engineering.

Study of Learning Entropy for onset detection of epileptic seizures in EEG time series

Noriyasu Homma, Ivo Bukovsky, Jan Vrba, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Estimation of Baroreflex Function Using Independent Component Analysis of Photoplethysmography

Tomoyuki Yambe, Makoto Yoshizawa, Akira Tanaka, 2011 .

Effect of viewing a three-dimensional movie with vertical parallax

Tomoyuki Yambe, Makoto Yoshizawa, Norihiro Sugita, 2019, Displays.

Indoor mobile robot navigation using doorplate landmarks

Min Tan, Noriyasu Homma, Madan M. Gupta, 2006 .

Brain-State-Dependency for Neural Memory Formation

Noriyasu Homma, Madan M. Gupta, 2005, Artificial Intelligence and Applications.

Obama, McCain, and Warren Needed Fuzzy Logic to Define Rich by Income

Madan M. Gupta, Zeng-Guang Hou, Noriyasu Homma, 2009, CSREA EE.

An Interpretable DL-Based Method for Diagnosis of H. Pylori Infection Using Gastric X-Ray Images

Noriyasu Homma, Reima Ishii, Xiaoyong Zhang, 2021, 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech).

A Letter on Convergence of In-Parameter-Linear Nonlinear Neural Architectures with Gradient Learnings

Noriyasu Homma, Ivo Bukovsky, Kei Ichiji, 2021, IEEE transactions on neural networks and learning systems.

Deep CNN-Based Computer-Aided Diagnosis for Drowning Detection using Post-mortem Lungs CT Images

Akihito Usui, Noriyasu Homma, Yusuke Kawasumi, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Deep Learning-Based Interpretable Computer-Aided Diagnosis of Drowning for Forensic Radiology

Akihito Usui, Noriyasu Homma, Yusuke Kawasumi, 2021, 2021 60th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

Tracking tumor boundary in MV-EPID images without implanted markers: A feasibility study.

Makoto Yoshizawa, Noriyasu Homma, Kei Ichiji, 2015, Medical physics.

Pattern Recognition in Medical Image Diagnosis

Noriyasu Homma, 2009 .

CT Image Based Computer-Aided Lung Cancer Diagnosis

Noriyasu Homma, N. Homma, 2011 .

A Fast Neural Network Approach to Predict Lung Tumor Motion during Respiration for Radiation Therapy Applications

Noriyasu Homma, Ivo Bukovsky, Kei Ichiji, 2015, BioMed research international.