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2010 – 2019
- 2018
[j21]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): 48-59 (2018)- [j20]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): 161-172 (2018) - [j19]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): 271-278 (2018) - 2017
- [j18]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): 1-9 (2017) - [j17]Qier Meng, Takayuki Kitasaka, Yukitaka Nimura, Masahiro Oda
, Junji Ueno, Kensaku Mori:
Automatic segmentation of airway tree based on local intensity filter and machine learning technique in 3D chest CT volume. Int. J. Comput. Assist. Radiol. Surg. 12(2): 245-261 (2017) - [c12]Qier Meng, Holger R. Roth, Takayuki Kitasaka, Masahiro Oda, Junji Ueno, Kensaku Mori:
Tracking and Segmentation of the Airways in Chest CT Using a Fully Convolutional Network. MICCAI (2) 2017: 198-207 - [i1]Qier Meng, Takayuki Kitasaka, Masahiro Oda, Junji Ueno, Kensaku Mori:
Airway segmentation from 3D chest CT volumes based on volume of interest using gradient vector flow. CoRR abs/1704.08030 (2017) - 2016
- [j16]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): 252-257 (2016) - [j15]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): 17-23 (2016) - 2015
- [j14]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): 137-144 (2015) - [j13]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): 145-151 (2015) - [j12]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): 94-99 (2015) - [j11]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): 166-172 (2015) - [c11]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: 586-592 - 2014
- [c10]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: 157-163 - [c9]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: 1203-1208 - 2013
- [j10]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): 488-494 (2013) - [j9]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): 20-26 (2013) - [c8]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: 155-161 - [c7]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: 172-181 - [c6]Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Junji Ueno, Yasutaka Nakano, Emiko Ogawa, Shigero Muro, Michiaki Mishima, Hironobu Ohmatsu, Noriyuki Moriyama:
Extraction method of interlobar fissure based on multi-slice CT images. Computer-Aided Diagnosis 2013: 867031 - 2012
- [c5]Tadashi Kondo, Junji Ueno, Shoichiro Takao:
Medical Image Diagnosis of Liver Cancer by Revised GMDH-type Neural Network Using Feedback Loop Calculation. ICGEC 2012: 237-240 - [c4]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: 1919-1924 - [c3]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: 1925-1930 - [c2]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: 203-208 - 2011
- [j8]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): 301-306 (2011) - [j7]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): 714-722 (2011) - 2010
- [j6]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): 264-269 (2010) - [c1]Tadashi Kondo, Junji Ueno:
Nonlinear system identification by feedback GMDH-type neural network with architecture self-selecting function. ISIC 2010: 1521-1526
2000 – 2009
- 2009
- [j5]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): 118-122 (2009) - [j4]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): 123-128 (2009) - 2007
- [j3]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): 96-104 (2007) - [j2]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): 312-318 (2007) - 2005
- [j1]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): 257-267 (2005)
Coauthor Index
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