Tadashi Kondo

Publication Activity (10 Years)

Years Active: 2003-2018
Publications (10 Years): 6

Top Topics

Regression Analysis

Diagnosis Of Lung Cancer

Top Venues

Artif. Life Robotics

J. Robotics Netw. Artif. Life

Publications

Shoichiro Takao, Sayaka Kondo, Junji Ueno, Tadashi Kondo
Medical image analysis of abdominal X-ray CT images by deep multi-layered GMDH-type neural network. Artif. Life Robotics 23 (2) (2018)
Shoichiro Takao, Sayaka Kondo, Junji Ueno, Tadashi Kondo
Deep feedback GMDH-type neural network and its application to medical image analysis of MRI brain images. Artif. Life Robotics 23 (2) (2018)
Shoichiro Takao, Sayaka Kondo, Junji Ueno, Tadashi Kondo
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 23 (1) (2018)
Tadashi Kondo, Sayaka Kondo, Junji Ueno, Shoichiro Takao
Medical image diagnosis of kidney regions by deep feedback GMDH-type neural network using principal component-regression analysis. Artif. Life Robotics 22 (1) (2017)
Tadashi Kondo, Junji Ueno, Shoichiro Takao
Medical Image Analysis of Brain X-ray CT Images By Deep GMDH-Type Neural Network. J. Robotics Netw. Artif. Life 3 (1) (2016)
Tadashi Kondo, Junji Ueno, Shoichiro Takao
Medical Image Diagnosis of Lung Cancer by Deep Feedback GMDH-Type Neural Network. J. Robotics Netw. Artif. Life 2 (4) (2016)
Tadashi Kondo, Junji Ueno, Shoichiro Takao
Logistic GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer. Artif. Life Robotics 20 (2) (2015)
Tadashi Kondo, Junji Ueno, Shoichiro Takao
Medical Image Analysis of MRI Brain Images by Deep RBF GMDH-type Neural Network Using Principal Component-Regression Analysis. IIAI-AAI (2015)
Tadashi Kondo, Junji Ueno, Shoichiro Takao
Medical image diagnosis of liver cancer by hybrid feedback GMDH-type neural network using principal component-regression analysis. Artif. Life Robotics 20 (2) (2015)
Tadashi Kondo, Junji Ueno, Shoichiro Takao
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 2 (2) (2015)
Tadashi Kondo, Junji Ueno, Shoichiro Takao
Medical Image Recognition of Heart Regions by Deep Multi-Layered GMDH-Type Neural Network Using Principal Component-Regression Analysis. J. Robotics Netw. Artif. Life 2 (3) (2015)
Tadashi Kondo, Junji Ueno, Shoichiro Takao
Hybrid feedback GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of heart regions. SCIS&ISIS (2014)
Tadashi Kondo, Junji Ueno, Shoichiro Takao
Medical Image Recognition of Abdominal Multi-organs by Hybrid Multi-layered GMDH-type Neural Network Using Principal Component-Regression Analysis. CANDAR (2014)
Tadashi Kondo, Junji Ueno, Shoichiro Takao
Hybrid Multi-layered GMDH-type Neural Network Using Principal Component Regression Analysis and its Application to Medical Image Diagnosis of Liver Cancer. KES (2013)
Tadashi Kondo, Junji Ueno, Shoichiro Takao
Feedback RBF GMDH-Type Neural Network Using Principal Component-Regression Analysis and Its Application to Medical Image Diagnosis of Lung Cancer. CANDAR (2013)
Tadashi Kondo, Junji Ueno, Shoichiro Takao
Medical image diagnosis of liver cancer by feedback GMDH-type neural network using knowledge base. Artif. Life Robotics 17 (3-4) (2013)
Tadashi Kondo, Junji Ueno, Shoichiro Takao
Medical image diagnosis of lung cancer by multi-layered GMDH-type neural network self-selecting functions. Artif. Life Robotics 18 (1-2) (2013)
Tadashi Kondo, Junji Ueno, Shoichiro Takao
Hybrid feedback GMDH-type neural network self-selecting various neurons and its application to medical image diagnosis of lung cancer. SCIS&ISIS (2012)
Tadashi Kondo, Junji Ueno, Shoichiro Takao
Medical Image Diagnosis of Liver Cancer by Revised GMDH-type Neural Network Using Feedback Loop Calculation. ICGEC (2012)
Tadashi Kondo, Junji Ueno, Shoichiro Takao
Hybrid multi-layered GMDH-type neural network self-selecting various neurons and its application to medical image diagnosis of liver cancer. SCIS&ISIS (2012)
Tadashi Kondo, Junji Ueno, Shoichiro Takao
Feedback GMDH-type Neural Network Self-Selecting Various Functions and Its Application to Medical Image Diagnosis of Lung Cancer. SNPD (2012)
Tadashi Kondo
Revised GMDH-type neural network using artificial intelligence and its application to medical image diagnosis. HIMA (2011)
Tadashi Kondo, Junji Ueno, Shoichiro Takao
Medical Image Diagnosis of Liver Cancer Using a Neural Network and Artificial Intelligence. J. Adv. Comput. Intell. Intell. Informatics 15 (6) (2011)
Tadashi Kondo, Junji Ueno
Medical image diagnosis of lung cancer by a revised GMDH-type neural network using various kinds of neuron. Artif. Life Robotics 16 (3) (2011)
Chihiro Kondo, Tadashi Kondo
Learning algorithm of the revised RBF network and its application to the media art system. Artif. Life Robotics 15 (3) (2010)
Tadashi Kondo, Chihiro Kondo, Shoichiro Takao, Junji Ueno
Feedback GMDH-type neural network algorithm and its application to medical image analysis of cancer of the liver. Artif. Life Robotics 15 (3) (2010)
Tadashi Kondo, Junji Ueno
Nonlinear system identification by feedback GMDH-type neural network with architecture self-selecting function. ISIC (2010)
Chihiro Kondo, Tadashi Kondo, Junji Ueno
Three-dimensional medical image analysis of the heart by the revised GMDH-type neural network self-selecting optimum neural network architecture. Artif. Life Robotics 14 (2) (2009)
Masahiro Nakagawa, Tadashi Kondo, Tsuyosi Kudo, Shoichiro Takao, Junji Ueno
Three-dimensional medical image recognition of cancer of the liver by a revised radial basis function (RBF) neural network algorithm. Artif. Life Robotics 14 (2) (2009)
Chihiro Kondo, Tadashi Kondo
Revised GMDH-type neural network algorithm self-selecting optimum neural network architecture. Artif. Life Robotics 14 (4) (2009)
Tadashi Kondo
Nonlinear Pattern Identification by Multi-layered GMDH-Type Neural Network Self-selecting Optimum Neural Network Architecture. ICONIP (1) (2007)
Tadashi Kondo, Junji Ueno, Abhijit S. Pandya
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 11 (1) (2007)
Tadashi Kondo, Junji Ueno
Logistic GMDH-Type Neural Network and its Application to Identification of X-Ray Film Characteristic Curve. J. Adv. Comput. Intell. Intell. Informatics 11 (3) (2007)
Tadashi Kondo, Abhijit S. Pandya, Hirofumi Nagashino
GMDH-type neural network algorithm with a feedback loop for structural identification of RBF neural network. Int. J. Knowl. Based Intell. Eng. Syst. 11 (3) (2007)
Tadashi Kondo, Junji Ueno, Kazuya Kondo
Revised GMDH-Type Neural Networks Using AIC or PSS Criterion and Their Application to Medical Image Recognition. J. Adv. Comput. Intell. Intell. Informatics 9 (3) (2005)
Tadashi Kondo, Abhijit S. Pandya
Identification of the Multi-layered Neural Networks by Revised GMDH-Type Neural Network Algorithm with PSS Criterion. KES (2004)
Tadashi Kondo, Abhijit S. Pandya
Recognition of X-ray Images by Using Revised GMDH-type Neural Networks. KES (2003)
Tadashi Kondo, Abhijit S. Pandya
Modeling of X-ray CT image by using revised GMDH-type neural networks with sigmoid functions. CIRA (2003)