Tadashi Kondo - RankMe

38 papers B 3C 1Journal 23Unranked 11

Year	Rank	Type	Title / 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