Junji Ueno

Most-cited papers

1. Tracking and Segmentation of the Airways in Chest CT Using a Fully Convolutional Network

   Qi-Er Meng, Holger R. Roth, T. Kitasaka, M. Oda +2 more

   2017International Conference on Medical Image Computing and Computer-Assisted Intervention48 citations

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2. Multi-layered GMDH-type neural network self-selecting optimum neural network architecture and its application to 3-dimensional medical image recognition of blood vessels

   T. Kondo, Junji Ueno

   200845 citations

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3. Automatic segmentation of airway tree based on local intensity filter and machine learning technique in 3D chest CT volume

   Qi-Er Meng, T. Kitasaka, Y. Nimura, M. Oda +2 more

   2017International Journal of Computer Assisted Radiology and Surgery40 citations

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4. Revised GMDH-type neural network algorithm with a feedback loop identifying sigmoid function neural network

   T. Kondo, Junji Ueno

   200631 citations Open access

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5. Logistic GMDH-Type Neural Network and its Application to Identification of X-Ray Film Characteristic Curve

   T. Kondo, Junji Ueno

   2007Journal of Advanced Computational Intelligence and Intelligent Informatics21 citations Open access

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6. Hybrid Multi-layered GMDH-Type Neural Network Using Principal Component-Regression Analysis and Its Application to Medical Image Diagnosis of Lung Cancer

   T. Kondo, Junji Ueno, Schoichiro Takao

   20122012 ASE/IEEE International Conference on BioMedical Computing (BioMedCom)20 citations Open access

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7. FEEDBACK GMDH-TYPE NEURAL NETWORK AND ITS APPLICATION TO MEDICAL IMAGE ANALYSIS OF LIVER CANCER

   T. Kondo, Junji Ueno

   201117 citations Open access

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8. Feedback GMDH-type neural network algorithm and its application to medical image analysis of cancer of the liver

   T. Kondo, C. Kondo, Shoichiro Takao, Junji Ueno

   2010Artificial Life and Robotics14 citations

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9. MEDICAL IMAGE RECOGNITION OF ABDOMINAL MULTI-ORGANS BY RBF GMDH-TYPE NEURAL NETWORK

   T. Kondo, Junji Ueno

   200914 citations

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10. Hybrid GMDH-type neural network using artificial intelligence and its application to medical image diagnosis of liver cancer

    T. Kondo, Junji Ueno, Shoichiro Takao

    2011IEEE/SICE International Symposium on System Integration13 citations

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11. Diffusion tensor imaging (DTI) of human lower leg muscles: correlation between DTI parameters and muscle power with different ankle positions

    Shoichiro Takao, Maho Kaneda, Mihoko Sasahara, Suzuka Takayama +7 more

    2022Japanese Journal of Radiology11 citations Open access

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12. Medical Image Recognition of Abdominal Multi-organs by Hybrid Multi-layered GMDH-type Neural Network Using Principal Component-Regression Analysis

    T. Kondo, Junji Ueno, Schoichiro Takao

    20142014 Second International Symposium on Computing and Networking11 citations

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13. Medical image diagnosis of liver cancer by hybrid feedback GMDH-type neural network using principal component-regression analysis

    T. Kondo, Junji Ueno, Shoichiro Takao

    2015Artificial Life and Robotics10 citations

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14. Hybrid feedback GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of heart regions

    T. Kondo, Junji Ueno, Schoichiro Takao

    20142014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS)10 citations

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15. Measurements of multidetector CT surface dose distributions using a film dosimeter and chest phantom.

    M. Tominaga, Y. Kawata, N. Niki, N. Moriyama +3 more

    2011Medical Physics (Lancaster)10 citations

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16. Logistic GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer

    T. Kondo, Junji Ueno, Shoichiro Takao

    2015Artificial Life and Robotics9 citations

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17. Medical image diagnosis of lung cancer by a revised GMDH-type neural network using various kinds of neuron

    T. Kondo, Junji Ueno

    2011Artificial Life and Robotics9 citations

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18. Radiographic comparison between male and female patients with lumbar spondylolysis.

    Shoichiro Takao, T. Sakai, K. Sairyo, T. Kondo +3 more

    2010Journal of Medical Investigation9 citations Open access

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19. Three-dimensional medical image analysis of the heart by the revised GMDH-type neural network self-selecting optimum neural network architecture

    C. Kondo, T. Kondo, Junji Ueno

    2009Artificial Life and Robotics9 citations

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20. Revised GMDH-Type Neural Networks Using AIC or PSS Criterion and Their Application to Medical Image Recognition

    T. Kondo, Junji Ueno, K. Kondo

    2005Journal of Advanced Computational Intelligence and Intelligent Informatics9 citations Open access

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21. Medical image diagnosis of lung cancer by multi-layered GMDH-type neural network self-selecting functions

    T. Kondo, Junji Ueno, Shoichiro Takao

    2013Artificial Life and Robotics8 citations

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22. The 3-dimensional medical image recognition of right and left kidneys by deep GMDH-type neural network

    T. Kondo, Junji Ueno, Shoichiro Takao

    20152015 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)7 citations

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23. Extraction method of interlobar fissure based on multi-slice CT images

    Mikio Matsuhiro, Hidenobu Suzuki, Y. Kawata, N. Niki +7 more

    2013Medical Imaging7 citations

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24. Medical image diagnosis of lung cancer by hybrid multi-layered GMDH-type neural network using knowledge base

    T. Kondo, Junji Ueno, Shoichiro Takao

    2012CME7 citations

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25. Three-dimensional medical image recognition of cancer of the liver by a revised radial basis function (RBF) neural network algorithm

    M. Nakagawa, T. Kondo, Tsuyosi Kudo, Shoichiro Takao +1 more

    2009Artificial Life and Robotics7 citations

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26. Three dimensional medical images of the lungs and brain recognized by artificial neural networks

    Takaomi Matuki, T. Kudo, T. Kondo, Junji Ueno

    2007SICE Annual Conference 20077 citations

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27. Deep multi-layered GMDH-type neural network using revised heuristic self-organization and its application to medical image diagnosis of liver cancer

    Shoichiro Takao, Sayaka Kondo, Junji Ueno, T. Kondo

    2018Artificial Life and Robotics6 citations

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28. Medical Image Diagnosis of Lung Cancer by Deep Feedback GMDH-Type Neural Network

    T. Kondo, Junji Ueno, Shoichiro Takao

    2016J. Robotics Netw. Artif. Life6 citations Open access

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29. Usefulness of transcatheter arterial embolization prior to excision of hypervascular musculoskeletal tumors.

    S. Iwamoto, Shoichiro Takao, Hayato Nose, Y. Otomi +5 more

    2012Journal of Medical Investigation6 citations Open access

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30. Nonlinear system identification by feedback GMDH-type neural network with architecture self-selecting function

    T. Kondo, Junji Ueno

    20102010 IEEE International Symposium on Intelligent Control6 citations

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31. Postprocessing technique with MDCT data improves the accuracy of the detection of lung nodules

    K. Yoneda, Junji Ueno, S. Nishihara, T. Tsujikawa +6 more

    2007Radiation Medicine6 citations

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32. Multilayered GMDH-Type Neural Network with Radial Basis Functions and its Application to 3-Dimensional Medical Image Recognition of the Liver

    T. Kondo, Junji Ueno, A. Pandya

    2007Journal of Advanced Computational Intelligence and Intelligent Informatics6 citations Open access

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33. Medical image recognition of the brain by revised GMDH-type neural network algorithm with a feedback loop

    T. Kondo, Junji Ueno

    20066 citations

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34. Deep feedback GMDH-type neural network and its application to medical image analysis of MRI brain images

    Shoichiro Takao, Sayaka Kondo, Junji Ueno, T. Kondo

    2018Artificial Life and Robotics5 citations

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35. Medical Image Recognition of Heart Regions by Deep Multi-Layered GMDH-Type Neural Network Using Principal Component-Regression Analysis

    T. Kondo, Junji Ueno, Shoichiro Takao

    2015J. Robotics Netw. Artif. Life5 citations Open access

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36. Simple noise reduction for diffusion weighted images

    Yuto Konishi, Y. Kanazawa, Takatoshi Usuda, Yuki Matsumoto +4 more

    2016Radiological Physics and Technology4 citations Open access

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37. Deep Feedback GMDH-Type Neural Network Using Principal Component-Regression Analysis and Its Application to Medical Image Recognition of Abdominal Multi-Organs

    T. Kondo, Junji Ueno, Shoichiro Takao

    2015J. Robotics Netw. Artif. Life4 citations Open access

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38. Feedback RBF GMDH-Type Neural Network Using Principal Component-Regression Analysis and Its Application to Medical Image Diagnosis of Lung Cancer

    T. Kondo, Junji Ueno, Schoichiro Takao

    20132013 First International Symposium on Computing and Networking4 citations

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39. Medical Image Diagnosis of Liver Cancer by Revised GMDH-type Neural Network Using Feedback Loop Calculation

    T. Kondo, Junji Ueno, Shoichiro Takao

    20122012 Sixth International Conference on Genetic and Evolutionary Computing4 citations

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40. Medical image recognition of abdominal X-ray CT images by RBF GMDH-type neural network

    Tadashi Kondo, Junji Ueno

    2007SICE Annual Conference 20074 citations

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41. Medical image diagnosis of kidney regions by deep feedback GMDH-type neural network using principal component-regression analysis

    T. Kondo, Sayaka Kondo, Junji Ueno, Shoichiro Takao

    2017Artificial Life and Robotics3 citations

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42. Feedback GMDH-Type Neural Network Self-Selecting Optimum Neural Network Architecture and Its Application to 3-Dimensional Medical Image Recognition of the Lungs

    T. Kondo, Junji Ueno

    20143 citations

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43. Medical image diagnosis of liver cancer by feedback GMDH-type neural network using knowledge base

    T. Kondo, Junji Ueno, Shoichiro Takao

    2013Artificial Life and Robotics3 citations

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44. Feedback GMDH-Type Neural Network Algorithm Using Prediction Error Criterion Defined as AIC

    T. Kondo, Junji Ueno, Shoichiro Takao

    20123 citations

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45. Medical image diagnosis of lung cancer by revised GMDH-type neural network using heuristic self-organization

    T. Kondo, Junji Ueno

    2011SICE Annual Conference 20113 citations

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46. Using the MDCT thick slab MinIP method for the follow-up of pulmonary emphysema.

    Hai Lan, H. Nishitani, S. Nishihara, Junji Ueno +5 more

    2011Journal of Medical Investigation3 citations Open access

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47. Medical Image Diagnosis of Liver Cancer Using a Neural Network and Artificial Intelligence

    T. Kondo, Junji Ueno, Shoichiro Takao

    2011Journal of Advanced Computational Intelligence and Intelligent Informatics3 citations Open access

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48. Medical image analysis of abdominal X-ray CT images by deep multi-layered GMDH-type neural network

    Shoichiro Takao, Sayaka Kondo, Junji Ueno, T. Kondo

    2018Artificial Life and Robotics2 citations

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49. Medical Image Analysis of MRI Brain Images by Deep RBF GMDH-type Neural Network Using Principal Component-Regression Analysis

    T. Kondo, Junji Ueno, Shoichiro Takao

    20152015 IIAI 4th International Congress on Advanced Applied Informatics2 citations

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50. Hybrid feedback GMDH-type neural network self-selecting various neurons and its application to medical image diagnosis of lung cancer

    T. Kondo, Junji Ueno, Schoichiro Takao

    2012The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems2 citations

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