Tadashi Kondo

38 papers B 3C 1Journal 23Unranked 11
YearRankTypeTitle / Venue / Authors
2018 J jnl
Deep feedback GMDH-type neural network and its application to medical image analysis of MRI brain images.
Artif. Life Robotics
Shoichiro Takao, Sayaka Kondo, Junji Ueno, Tadashi Kondo
2018 J jnl
Deep multi-layered GMDH-type neural network using revised heuristic self-organization and its application to medical image diagnosis of liver cancer.
Artif. Life Robotics
Shoichiro Takao, Sayaka Kondo, Junji Ueno, Tadashi Kondo
2018 J jnl
Medical image analysis of abdominal X-ray CT images by deep multi-layered GMDH-type neural network.
Artif. Life Robotics
Shoichiro Takao, Sayaka Kondo, Junji Ueno, Tadashi Kondo
2017 J jnl
Medical image diagnosis of kidney regions by deep feedback GMDH-type neural network using principal component-regression analysis.
Artif. Life Robotics
Tadashi Kondo, Sayaka Kondo, Junji Ueno, Shoichiro Takao
2016 J jnl
Medical Image Analysis of Brain X-ray CT Images By Deep GMDH-Type Neural Network.
J. Robotics Netw. Artif. Life
Tadashi Kondo, Junji Ueno, Shoichiro Takao
2016 J jnl
Medical Image Diagnosis of Lung Cancer by Deep Feedback GMDH-Type Neural Network.
J. Robotics Netw. Artif. Life
Tadashi Kondo, Junji Ueno, Shoichiro Takao
2015 J jnl
Deep Feedback GMDH-Type Neural Network Using Principal Component-Regression Analysis and Its Application to Medical Image Recognition of Abdominal Multi-Organs.
J. Robotics Netw. Artif. Life
Tadashi Kondo, Junji Ueno, Shoichiro Takao
2015 J jnl
Logistic GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer.
Artif. Life Robotics
Tadashi Kondo, Junji Ueno, Shoichiro Takao
2015 — conf
Medical Image Analysis of MRI Brain Images by Deep RBF GMDH-type Neural Network Using Principal Component-Regression Analysis.
IIAI-AAI
Tadashi Kondo, Junji Ueno, Shoichiro Takao
2015 J jnl
Medical Image Recognition of Heart Regions by Deep Multi-Layered GMDH-Type Neural Network Using Principal Component-Regression Analysis.
J. Robotics Netw. Artif. Life
Tadashi Kondo, Junji Ueno, Shoichiro Takao
2015 J jnl
Medical image diagnosis of liver cancer by hybrid feedback GMDH-type neural network using principal component-regression analysis.
Artif. Life Robotics
Tadashi Kondo, Junji Ueno, Shoichiro Takao
2014 — conf
Hybrid feedback GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of heart regions.
SCIS&ISIS
Tadashi Kondo, Junji Ueno, Shoichiro Takao
2014 — conf
Medical Image Recognition of Abdominal Multi-organs by Hybrid Multi-layered GMDH-type Neural Network Using Principal Component-Regression Analysis.
CANDAR
Tadashi Kondo, Junji Ueno, Shoichiro Takao
2013 — conf
Feedback RBF GMDH-Type Neural Network Using Principal Component-Regression Analysis and Its Application to Medical Image Diagnosis of Lung Cancer.
CANDAR
Tadashi Kondo, Junji Ueno, Shoichiro Takao
2013 B conf
Hybrid Multi-layered GMDH-type Neural Network Using Principal Component Regression Analysis and its Application to Medical Image Diagnosis of Liver Cancer.
KES
Tadashi Kondo, Junji Ueno, Shoichiro Takao
2013 J jnl
Medical image diagnosis of liver cancer by feedback GMDH-type neural network using knowledge base.
Artif. Life Robotics
Tadashi Kondo, Junji Ueno, Shoichiro Takao
2013 J jnl
Medical image diagnosis of lung cancer by multi-layered GMDH-type neural network self-selecting functions.
Artif. Life Robotics
Tadashi Kondo, Junji Ueno, Shoichiro Takao
2012 C conf
Feedback GMDH-type Neural Network Self-Selecting Various Functions and Its Application to Medical Image Diagnosis of Lung Cancer.
SNPD
Tadashi Kondo, Junji Ueno, Shoichiro Takao
2012 — conf
Hybrid feedback GMDH-type neural network self-selecting various neurons and its application to medical image diagnosis of lung cancer.
SCIS&ISIS
Tadashi Kondo, Junji Ueno, Shoichiro Takao
2012 — conf
Hybrid multi-layered GMDH-type neural network self-selecting various neurons and its application to medical image diagnosis of liver cancer.
SCIS&ISIS
Tadashi Kondo, Junji Ueno, Shoichiro Takao
2012 — conf
Medical Image Diagnosis of Liver Cancer by Revised GMDH-type Neural Network Using Feedback Loop Calculation.
ICGEC
Tadashi Kondo, Junji Ueno, Shoichiro Takao
2011 J jnl
Medical Image Diagnosis of Liver Cancer Using a Neural Network and Artificial Intelligence.
J. Adv. Comput. Intell. Intell. Informatics
Tadashi Kondo, Junji Ueno, Shoichiro Takao
2011 J jnl
Medical image diagnosis of lung cancer by a revised GMDH-type neural network using various kinds of neuron.
Artif. Life Robotics
Tadashi Kondo, Junji Ueno
2011 — conf
Revised GMDH-type neural network using artificial intelligence and its application to medical image diagnosis.
HIMA
Tadashi Kondo
2010 J jnl
Feedback GMDH-type neural network algorithm and its application to medical image analysis of cancer of the liver.
Artif. Life Robotics
Tadashi Kondo, Chihiro Kondo, Shoichiro Takao, Junji Ueno
2010 J jnl
Learning algorithm of the revised RBF network and its application to the media art system.
Artif. Life Robotics
Chihiro Kondo, Tadashi Kondo
2010 — conf
Nonlinear system identification by feedback GMDH-type neural network with architecture self-selecting function.
ISIC
Tadashi Kondo, Junji Ueno
2009 J jnl
Revised GMDH-type neural network algorithm self-selecting optimum neural network architecture.
Artif. Life Robotics
Chihiro Kondo, Tadashi Kondo
2009 J jnl
Three-dimensional medical image analysis of the heart by the revised GMDH-type neural network self-selecting optimum neural network architecture.
Artif. Life Robotics
Chihiro Kondo, Tadashi Kondo, Junji Ueno
2009 J jnl
Three-dimensional medical image recognition of cancer of the liver by a revised radial basis function (RBF) neural network algorithm.
Artif. Life Robotics
Masahiro Nakagawa, Tadashi Kondo, Tsuyosi Kudo, Shoichiro Takao, Junji Ueno
2007 J jnl
GMDH-type neural network algorithm with a feedback loop for structural identification of RBF neural network.
Int. J. Knowl. Based Intell. Eng. Syst.
Tadashi Kondo, Abhijit S. Pandya, Hirofumi Nagashino
2007 J jnl
Logistic GMDH-Type Neural Network and its Application to Identification of X-Ray Film Characteristic Curve.
J. Adv. Comput. Intell. Intell. Informatics
Tadashi Kondo, Junji Ueno
2007 J jnl
Multilayered GMDH-Type Neural Network with Radial Basis Functions and its Application to 3-Dimensional Medical Image Recognition of the Liver.
J. Adv. Comput. Intell. Intell. Informatics
Tadashi Kondo, Junji Ueno, Abhijit S. Pandya
2007 — conf
Nonlinear Pattern Identification by Multi-layered GMDH-Type Neural Network Self-selecting Optimum Neural Network Architecture.
ICONIP (1)
Tadashi Kondo
2005 J jnl
Revised GMDH-Type Neural Networks Using AIC or PSS Criterion and Their Application to Medical Image Recognition.
J. Adv. Comput. Intell. Intell. Informatics
Tadashi Kondo, Junji Ueno, Kazuya Kondo
2004 B conf
Identification of the Multi-layered Neural Networks by Revised GMDH-Type Neural Network Algorithm with PSS Criterion.
KES
Tadashi Kondo, Abhijit S. Pandya
2003 — conf
Modeling of X-ray CT image by using revised GMDH-type neural networks with sigmoid functions.
CIRA
Tadashi Kondo, Abhijit S. Pandya
2003 B conf
Recognition of X-ray Images by Using Revised GMDH-type Neural Networks.
KES
Tadashi Kondo, Abhijit S. Pandya