Shinjiro Takata, Shoichiro Takao, Shusaku Yoshida, Fumio HayashiandNatsuo Yasui : Therapeutic effects of one-year alendronate treatment in three cases of osteoporosis with parietal thinning of skull., The Journal of Medical Investigation : JMI, Vol.55, No.3-4, 297-302, 2008..[著者]
Masahiro Nakagawa, Tadashi Kondo, Tsuyosi Kudo, Shoichiro TakaoandJunji Ueno : Three-dimensional medical image recognition of cancer of the liver by the revised radial basis function (RBF) neural network algorithm, The Fourteenth International Symposium on Artificial Life and Robotics 2009, (巻), (号), 385-388, (都市), Feb. 2009..[著者]
Takashi Iwase, Shoichiro Takao, Masashi Akaike, K Adachi, Y Sumitomo, Shusuke Yagi, T Niki, Kenya Kusunose, N Sakamoto, Y Hirata, Koji Yamaguchi, Kunihiko Koshiba, Hirotsugu Yamada, Takeshi Soeki, Tetsuzo Wakatsuki, Ken-ichi Aihara, Masafumi Harada, Hiromu NishitaniandMasataka Sata : Early Detection of Myocardial Damage in Female Carriers of Duchenne Muscular Dystrophy - the Utility of Cardiac Magnetic Resonance., 73th Annual scientific meeting of the Japanese circulation society, (巻), (号), (頁), (都市), March 2009..[著者]
Masahiro Nakagawa, Tadashi Kondo, Tsuyosi Kudo, Shoichiro TakaoandJunji Ueno : Three-dimensional medical image recognition of the cancer of the liver by artificial neural network, Proceedings of the 40th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, (巻), (号), 171-175, (都市), June 2009..[著者]
Toshinori Sakai, Koichi Sairyo, Shoichiro Takao, Hiromu NishitaniandNatsuo Yasui : Incidence of lumbar spondylolysis in the general population in Japan based on multidetector computed tomography scans from two thousand subjects., Spine, Vol.34, No.21, 2346-2350, 2009..[著者]
Tadashi Kondo, Masahiro Nakagawa, Shoichiro TakaoandJunji Ueno : Medical image recognition of cancer of the liver by GMDH-type neural network, Abstract of the 41st ISCIE International Symposium on Stochastic Systems Theory and Its Applications, (巻), (号), 39-40, (都市), Nov. 2009..[著者]
Masahiro Nakagawa, Tadashi Kondo, Shoichiro TakaoandJunji Ueno : 3-dimensional medical image recognition of the lung by the revised radial basis function (RBF) neural network algorithm, Abstracts of the 41st ISCIE International Symposium on Stochastic Systems Theory and Its Applications, (巻), (号), 37-38, (都市), Nov. 2009..[著者]
Masahiro Nakagawa, Tadashi Kondo, Kudo Tsuyosi, Shoichiro TakaoandJunji Ueno : Three-dimensional medical image recognition of the cancer of the liver by a revised radial basis function (RBF) neural network algorithm, Artificial Life and Robotics, Vol.14, No.2, 118-122, 2009..[著者]
Takashi Iwase, Shoichiro Takao, Masashi Akaike, K Adachi, Y Sumitomo-Ueda, Shusuke Yagi, T Niki, Kenya Kusunose, N Tomita, Y Hirata, Koji Yamaguchi, Kunihiko Koshiba, Yoshio Taketani, Hirotsugu Yamada, Takeshi Soeki, Tetsuzo Wakatsuki, KI Aihara, Masafumi Harada, H NishitaniandMasataka Sata : Diagnostic utility of cardiac magnetic resonance for detection of cardiac involvement in female carriers of Duchenne muscular dystrophy., Heart Asia, Vol.2, 52-55, 2010..[著者]
Shoichiro Takao, Toshinori Sakai, Koichi Sairyo, Tadashi Kondo, Junji Ueno, Natsuo YasuiandHiromu Nishitani : Radiographic comparison between male and female patients with lumbar spondylolysis., The Journal of Medical Investigation : JMI, Vol.57, No.1-2, 133-137, 2010..[著者]
Tatsuya Tamura, Toshinori Sakai, Koichi Sairyo, Shoichiro Takao, Seiko Kagawa, Shinsuke KatohandNatsuo Yasui : Hematoma in the Cervical Ligamentum Flavum. Report of a Case and Review of the Literature., Skeletal Radiology, Vol.39, No.3, 289-293, 2010..[著者]
Takashi Iwase, Shoichiro Takao, Masashi Akaike, K Adachi, Y Sumitomo, Shusuke Yagi, T Niki, Kenya Kusunose, N Tomita, Y Hirata, Koji Yamaguchi, Kunihiko Koshiba, Hirotsugu Yamada, Takeshi Soeki, Tetsuzo Wakatsuki, Ken-ichi Aihara, Masafumi Harada, Hiromu NishitaniandMasataka Sata : Utility of Cardiac Magnetic Resonance for Detection of Cardiac Involvement in Female Carriers of Duchenne Muscular Dystrophy., 第74回日本循環器学会総会・学術集会, (巻), (号), (頁), (都市), March 2010..[著者]
Masahiro Nakagawa, Tadashi Kondo, Shoichiro TakaoandJunji Ueno : Three-dimensional medical image recognition of the lung by the revised radial basis function (RBF) network algorithm, Proceedings of the 41th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, 75-80, Kobe, June 2010..[著者]
Tadashi Kondo, Masahiro Nakagawa, Shoichiro TakaoandJunji Ueno : Medical image recognition of cancer of the liver by GMDH-type neural network, Proceedings of the 41th International Symposium on Stochastic Systems Theory and Its Applications, 81-86, Kobe, June 2010..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of liver cancer using neural natwork and artificial intelligence, Proceedings of the 2010 International Symposium on Intelligent Systems, No.S6-8-3, 1-6, Tokyo, Sep. 2010..[著者]
Tadashi Kondo, Chihiro Kondo, Shoichiro TakaoandJunji Ueno : Feedback GMDH-type neural network algorithm and its application to medical image analysis of cancer of the liver, Artificial Life and Robotics, Vol.15, No.3, 264-269, 2010..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of liver cancer by revised GMDH-type neural network using knowledge base, Proceedings of International Forum on Medical Imaging in Asia 2011, 1-7, Naha, Jan. 2011..[著者]
Takashi Iwase, Shoichiro Takao, Masashi Akaike, S. Bando, S. Hisaoka, Toshiyuki Niki, Kenya Kusunose, N Tomita, Y. Hirata, Yuka Ueda, Koji Yamaguchi, Yoshio Taketani, Hirotsugu Yamada, Takeshi Soeki, Tetsuzo Wakatsuki, Ken-ichi Aihara, M. HaradaandMasataka Sata : Diagnostic Utility of Cardiac Magnetic Resonance for Prediction of Cardiac Events in Patients with Hypertrophic Cardiomyopathy., 第75回日本循環器学会総会・学術集会, March 2011..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of liver cancer using a neural network and artificial intelligence, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.15, No.6, 714-722, 2011..[著者]
Hai Lan, Hiromu Nishitani, Sadamitsu Nishihara, Junji Ueno, Shoichiro Takao, Seiji Iwamoto, Takashi Kawanaka, Mawlan MAHMUTandSi QINGGE : Using the MDCT thick slab MinIP method for the follow-up of pulmonary emphysema, The Journal of Medical Investigation : JMI, Vol.58, No.3, 175-179, 2011..[著者]
Takashi Iwase, Shoichiro Takao, Masashi Akaike, Takayuki Ise, Toshiyuki Niki, Kenya Kusunose, Yuka Ueda, N. Tomita, Koji Yamaguchi, Yoshio Taketani, Hirotsugu Yamada, Takeshi Soeki, Ken-ichi Aihara, Tetsuzo Wakatsuki, Masafumi HaradaandMasataka Sata : Detection of Cardiac Involvement in Patients with Sarcoidosis Using Cardiac Magnetic Resonance., AHA Scientific Sessions 2011, Orlando, Nov. 2011..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of lung cancer by revised GMDH-type neural network self-selecting optimum neuron architectuers, Proceedings of 2011 IEEE/SICE International Symposium on System Integration, 1107-1112, Kyoto, Dec. 2011..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Hybrid GMDH-type neural network using artificial intelligence and its application to medical image diagnosis of liver cancer, Proceedings of 2011 IEEE/SICE International Symposium on System Integration, 1101-1106, Kyoto, Dec. 2011..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of liver cancer by feedback GMDH-type neural network using knowlege base, Proceedings of the seventeenth International Symposium on Artificial Life and Robotics 2012, 1021-1024, Beppu, Jan. 2012..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of lung cancer by multi-layered GMDH-type neural network self-selecting functions, Proceedings of the seventeenth International Symposium on Artificial Life and Robotics 2012, 1009-1012, Beppu, Jan. 2012..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Feedback GMDH-type neural network algorithm using prediction error criterion defined as AIC, Proceedings of the 4th international conference on intelligent decision technologies, (巻), (号), 313-322, Gifu, May 2012..[著者]
Kousaku Higashino, Koichi Sairyo, Shinsuke Katoh, Shoichiro Takao, Hirofumi KosakaandNatsuo Yasui : Long-term outcomes of lumbar posterior apophyseal end-plate lesions in children and adolescents., The Journal of Bone and Joint Surgery. American Volume, Vol.94, No.11, e74(1)-(7), 2012..[著者]
Yoshiteru Kawasaki, Hiroshi Egawa, Daisuke Hamada, Shoichiro Takao, Shunji NakanoandNatsuo Yasui : Location of intrapelvic vessels around the acetabulum assessed by three-dimensional computed tomographic angiography: prevention of vascular-related complications in total hip arthroplasty., Journal of Orthopaedic Science, Vol.17, No.4, 397-406, 2012..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of liver cancer by multi-layered GMDH-type neural network using artificial intelligence technology, Proceedings of the 43th ISCIE International Symposium on Stochastic Systems Theory and its Applications, 1-6, Shiga, July 2012..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : A new multi-layered GMDH-type neural network algorithm using principal component-regression analysis, Proceedings of the 43th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, 1-6, Shiga, July 2012..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of lung cancer by hybrid multi-layered GMDH-type neural network using knowlege base, Proceedings of the 2012 International Conference on Complex Medical Engineering, (巻), (号), 663-668, Kobe, July 2012..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Feedback GMDH-type neural network self-selecting various functions and its application to medical image diagnosis of lung cancer, Proceedings of 13th ACIS international conference on sofutware engineering, artificial intelligence, networking and parallel distrivuted computing (SNPD2012), (巻), (号), 203-208, Kyoto, Aug. 2012..[著者]
M. Dagvasumberel, Michio Shimabukuro, Junji Ueno, T. Nishiuchi, Takeshi Soeki, Takashi Iwase, Shoichiro Takao, Hirotsugu Yamada, Tetsuya KitagawaandMasataka Sata : Gender disparities in the association of epicardial adipose tissue volume and coronary atherosclerosis: a 256-slice multidetector computed tomography study., ESC Congress 2012, (都市), Aug. 2012..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of liver cancer by revised GMDH-type neural network using feedback loop calculation, Proceedings of 2012 sixth international conference on genetic and evolutionary computing, (巻), (号), 237-240, Kitakyushu, Aug. 2012..[著者]
島袋 充生, C Okawa, M Higashida, 黒部 裕嗣, H Sato, 髙尾 正一郎, Y Hirata, 雷 小峰, S Kaneyama, T Nakayama, 福田 大受, 山田 博胤, M Sato, 北川 哲也, 佐田 政隆 : エゼチミブ投与によるブタ心臓周囲脂肪ならびに心筋組織の酸化コレステロール,脂肪酸分画の変動:GC/MS法による検討, 第60回日本心臓病学会学術集会, 2012年9月..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Multi-layered GMDH-type neural network algorithm using principal component-regression analysis and PSS criterion, Abstracts of the 44th ISCIE international symposium on stochastic systems theory and its applications, (巻), (号), 73-74, Tokyo, Nov. 2012..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of liver cancer by multi-layered GMDH-type neural network using principal component-regression analysis and PSS criterion, Abstracts of the 44th ISCIE international sysmposium on stochastic systems theory and its applications, (巻), (号), 119-120, Tokyo, Nov. 2012..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Hybrid multi-layered GMDH-type neural network self-selecting various neurons and its application to medical image diagnosis of liver cancer, Proceedings of international conference SCIS-ISIS 2012, (巻), (号), 1919-1924, Kobe, Nov. 2012..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Hybrid feedback GMDH-type neural network self-selecting various neurons and its application to medical image diagnosis of lung cancer, Proceedings of international conference SCIS-ISIS 2012, (巻), (号), 1925-1930, Kobe, Nov. 2012..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of liver cancer by feedback GMDH-type neural network using knowlege base, Artificial Life and Robotics, Vol.17, No.3-4, 488-494, 2012..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of liver cancer by hybrid feedback GMDH-type neural network using heuristic self-organization, ASE Science Journal, Vol.1, (号), 12-21, 2012..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Hybrid multi-layered GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer, Proceedings of 2012 ASE International Conference on BioMedical Computing, (巻), (号), 575-582, Washington D. C., Dec. 2012..[著者]
Michio Shimabukuro, C Okawa, M Higashida, H Sato, Hirotsugu Kurobe, Shoichiro Takao, Y Hirata, T Nakayama, XF Lei, JR Kim-Kaneyama, Daiju Fukuda, Hirotsugu Yamada, M Sato, Tetsuya KitagawaandMasataka Sata : Effects of Ezetimibe on Oxidized Cholesterol and Fatty-acid Components in Epicardial Fat and Myocardium: A Gas Chromatography-Mass Spectrometry Analysis., 第77回 日本循環器学会学術集会, March 2013..[著者]
Takashi Iwase, Shoichiro Takao, Masashi Akaike, Takayuki Ise, Toshiyuki Niki, Yuka Ueda, Koji Yamaguchi, Yoshio Taketani, Hirotsugu Yamada, Takeshi Soeki, Ken-ichi Aihara, Tetsuzo Wakatsuki, Yasuhiko Nishioka, Masafumi HaradaandMasataka Sata : Differentiation of Left Ventricular Systolic Dysfunction Related to Cardiac Sarcoidosis and Other Heart Diseases Using contrast-enhanced Cardiovascular Magnetic Resonance., 第77回 日本循環器学会学術集会, March 2013..[著者]
Takayuki Ise, Takashi Iwase, Shoichiro Takao, M Kadota, Mika Bando, S Bando, T Matsuura, Toshiyuki Niki, J Hotchi, Shusuke Yagi, Koji Yamaguchi, Yoshio Taketani, Hirotsugu Yamada, Takeshi Soeki, Tetsuzo Wakatsuki, Masashi Akaike, Masafumi HaradaandMasataka Sata : Evaluation of Right Ventricular Hypertrophy by Cardiac Magnetic Resonance is Useful for Detecting Cardiac Amyloidosis., 第77回 日本循環器学会学術集会, March 2013..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of lung cancer by multi-layered GMDH-type neural network self-selecting functions, Artificial Life and Robotics, Vol.18, No.1-2, 20-26, 2013..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of liver cancer by multi-layered GMDH-type neural network using principal component-regression analysis and PSS criterion, Proceedings of the 44th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, 255-262, Tokyo, June 2013..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Multi-layered GMDH-type neural network algorithm using principal component-regression analysis and PSS criterion, Proceedings of the 44th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, 273-278, Tokyo, June 2013..[著者]
Takashi Iwase, Shoichiro Takao, Masashi Akaike, Takayuki Ise, Shusuke Yagi, Koji Yamaguchi, Hirotsugu Yamada, Yasuhiko Nishioka, Masafumi HaradaandMasataka Sata : Differentiation of left ventricular systolic dysfunction related to cardiac sarcoidosis and other heart diseases using contrast-enhanced cardiovascular magnetic resonance., ESC Congress 2013, Amsterdam, Aug. 2013..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of liver cancer by RBF GMDH-type neural network using principal component-regression analysis, Proceedings of the eighth international conference of the innovative computing, information and control (ICICIC2013), 1-8, Kumamoto, Sep. 2013..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Hybrid feedback GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer, Proceedings of the eighth international conference of the innovative computing, information and control (ICICIC2013), 1-8, Kumamoto, Sep. 2013..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Hybrid multi-layered GMDH-type neural network using principal component regression analysis and its application to medical image diagnosis of liver cancer, Proceedings of 17th international conference in knowledge based and intelligent information and engineering systems, 39-48, Kitakyushu, Sep. 2013..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Hybrid multi-layered GMDH-type neural network using principal component regression analysis and its application to medical image diagnosis of liver cancer, Procedia Computer Science, Vol.22, 172-181, 2013..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Feedback RBF GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer, Proceedings of the first international symposium on computing and networking, 155-161, Matsuyama, Dec. 2013..[著者]
Hayato Nose, Hideki Otsuka, Youichi Otomi, K Terazawa, Shoichiro Takao, Seiji Iwamoto, Takashi Iwase, Hirotsugu Yamada, Masataka SataandMasafumi Harada : The physiological uptake pattern of (18)F-FDG in the left ventricular myocardium of patients without heart disease., The Journal of Medical Investigation : JMI, Vol.61, No.1, 2, 53-58, 2014..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of liver cancer by hybrid feedback GMDH-type neural network using principal component-regression analysis, Proceedings of the nineteenth international symposium on artificial life and robotics, 339-342, Beppu, Jan. 2014..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Logistic GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer, Proceedings of the nineteenth international symposium on artificial life and robotics, 335-338, Beppu, Jan. 2014..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of liver cancer by RBF GMDH-type neural network using principal component-regression analysis, ICIC Express Letters, Vol.8, No.3, 1-8, 2014..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Hybrid feedback GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer, ICIC Express Letters, Vol.8, No.4, 1053-1060, 2014..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Hybrid feedback GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of heart regions, Proceedings of inetrnational conference of SCIS and ISIS 2014, 1203-1208, kitakyushu, Dec. 2014..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image recognition of abdominal multi-organs by hybrid multi-layered GMDH-type neural network using principal component-regression analysis, Proceedings of 2014 second international symposium on computing and networking, 157-163, Matuyama, Dec. 2014..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Deep feedback GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of abdominal multi-organs, The proceedings of international conference on artificial life and robotics (ICAROB 2015), 119-122, Oita, Jan. 2015..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image recognition of heart regions by deep multi-layered GMDH-type neural network using principal component-regression analysis, The proceedings of international conference on artificial life and robotics (ICAROB 2015), 115-118, Oita, Jan. 2015..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Deep multi-layered GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of brain and blood vessels, Proceedings of the twentieth international symposium on aritificial life and robotics 2015, 92-95, Beppu, Jan. 2015..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of kidney regions by deep feedback GMDH-type neural network using principal component-regression analysis, Proceedings of the twentieth international symposium on artificial life and robotics 2015, 424-427, Beppu, Jan. 2015..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Logistic GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer, Artificial Life and Robotics, Vol.20, No.2, 137-144, 2015..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Deep feedback GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of abdominal multi-organs, Journal of Robotics Networking and Artificial Life, Vol.2, No.2, 94-99, 2015..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of liver cancer by hybrid feedback GMDH-type neural network using principal component-regression analysis, Artificial Life and Robotics, Vol.20, No.2, 145-151, 2015..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image analysis of MRI brain images by deep RBF GMDH-type neural network using principal component-regression analysis, Proceedings of 2015 IIAI 4th international congress on advanced informatics, 586-592, Okayama, July 2015..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image recognition of heart regions by deep multi-layered GMDH-type neural network using principal component-regression analysis, Journal of Robotics Networking and Artificial Life, Vol.2, No.3, 166-172, 2015..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : The 3-dimensional medical image recognition of right and left kidneys by deep GMDH-type neural network, Journal of Bioinformatics and Neuroscience, Vol.1, No.1, 14-23, 2015..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : The 3-dimensional medical image recognition of right and left kidneys by deep GMDH-type neural network, Proceedings of International Conference on Intelligent Informatics and Biomedical Sciences, (巻), (号), 313-320, Okinawa, Dec. 2015..[著者]
Toshihiko Nishisho, Shoichiro Takao, Ryo Miyagi, Shunichi Toki, Akihiro NagamachiandKoichi Sairyo : Complete spontaneous regression of a subpubic cartilaginous cyst: a case report., The Journal of Medical Investigation : JMI, Vol.63, No.3-4, 319-322, 2016..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Deep feedback GMDH-type neural network and its application to medical image analysis of MRI brain images, Proceedings of the Twenty-First International Symposium on Artificial Life and Robotics (AROB 21st 2016), (巻), (号), 233-236, Beppu, Jan. 2016..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image analysis of abdominal X-ray CT images by deep multi-layered GMDH-type neural network, Proceedings of the Twenty-First International Symposium on Artificial Life and Robotics (AROB 21st 2016), (巻), (号), 237-240, Beppu, Jan. 2016..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of lung cancer by deep feedback GMDH-type neural network, The proceedings of the 2016 International Conference on Artificial Life and Robotics (ICAROB 2016), (巻), (号), 125-129, Okinawa, Jan. 2016..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image analysis of brain X-ray CT images by deep GMDH-type neural network, The proceedings of the 2016 International Conference on Artificial Life and Robotics (ICAROB 2016), (巻), (号), 120-124, Okinawa, Jan. 2016..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of lung cancer by deep feedback GMDH-type neural network, Journal of Robotics Networking and Artificial Life, Vol.2, No.4, 252-257, 2016..[著者]
Tadashi Kondo, Junji UenoandShoichiro Takao : Medical image analysis of brain X-ray CT images by deep GMDH-type neural network, Journal of Robotics Networking and Artificial Life, Vol.3, No.1, 17-23, 2016..[著者]
Mitsuhiro Kinoshita, Katsuya Takechi, Seiji Iwamoto, Shoichiro Takao, Ryozo ShironoandMasafumi Harada : The usefulness of cone-beam computed tomography during chemoembolization of hepatocellular carcinomas fed exclusively by the cystic artery., Japanese Journal of Radiology, Vol.34, No.11, 747-753, 2016..[著者]
Chandra Subash Jha, Toshihiko Nishisho, Tetsuya Matsuura, Makoto Takeuchi, Ryo Miyagi, Shoichiro Takao, Naoto Suzue, Shunichi Toki, Akihiro NagamachiandKoichi Sairyo : Pigmented villonodular synovitis of the knee joint in a 5-year-old girl treated with combined open and arthroscopic surgery: a case report., Journal of Pediatric Orthopaedics. Part B, Vol.25, No.6, 564-569, 2016..[著者]
Tadashi Kondo, Sayaka Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of kidney regions by deep feedback GMDH-type neural network using principal component-regression analysis, Artificial Life and Robotics, Vol.22, No.1, 1-9, 2017..[著者]
Shunichi Toki, Toshihiko Nishisho, Shoichiro Takao, Ryo Miyagi, Fumitake Tezuka, Akihiro NagamachiandKoichi Sairyo : Fibroma of tendon sheath on the medial side of the knee: a case report., The Journal of Medical Investigation : JMI, Vol.64, No.1.2, 173-176, 2017..[著者]
Tadashi Kondo, Sayaka Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of lung cancer by deep logistic GMDH-type neural network using revised heuristic self-organization, Proceedings of the Twenty-Second International Symposium on Artificial Life and Robotics(AROB 22st 2017), (巻), (号), (頁), Beppu, Jan. 2017..[著者]
Tadashi Kondo, Sayaka Kondo, Junji UenoandShoichiro Takao : Medical image diagnosis of liver cancer by deep multi-layered GMDH-type neural network using revised heuristic self-organization, Proceedings of the Twenty-Second International Symposium on Artificial Life and Robotics(AROB 22st 2017), (巻), (号), (頁), Beppu, Jan. 2017..[著者]
Shoichiro Takao, B Tan Nguyen, J Hon Yu, Shigeo Hagiwara, Yasuhito Kaneko, Taiki Nozaki, Seiji Iwamoto, Maki Otomo, Ran SchwarzkopfandHiroshi Yoshioka : T1rho and T2 relaxation times of the normal adult knee meniscus at 3T: analysis of zonal differences., BMC Musculoskeletal Disorders, Vol.18, No.1, (頁), 2017..[著者]
Yukina Hirata, Kenya Kusunose, Hirotsugu Yamada, Rikuto Shimizu, Yuta Torii, Susumu Nishio, Yoshihito Saijo, Shoichiro Takao, Takeshi SoekiandMasataka Sata : Age-related changes in morphology of left atrial appendage in patients with atrial fibrillation., The International Journal of Cardiovascular Imaging, Vol.34, No.2, 321-328, 2017..[著者]
Shoichiro Takao, Sayaka Kondo, Junji UenoandTadashi Kondo : Deep multi-layered GMDH-type neural network using revised heuristic self-organization and its application to medical image diagnosis of liver cancer, Artificial Life and Robotics, Vol.23, No.1, 48-59, 2018..[著者]
Shoichiro Takao, Sayaka Kondo, Junji UenoandTadashi Kondo : Hybrid deep neural network of deep multi-layered GMDH-type neural network and convolutional neural network and its application to medical image recognition of spleen regions, Proceedings of the Twenty-Third International Symposium on Artificial Life and Robotics(AROB 23nd 2018), Beppu, Jan. 2018..[著者]
Shoichiro Takao, Sayaka Kondo, Junji UenoandTadashi Kondo : Medical image diagnosis of liver cancer by hybrid deep neural network of deep logistic GMDH-type neural network and convolutional neural network, Proceedings of the Twenty-Third International Symposium on Artificial Life and Robotics (AROB 23rd 2018), Beppu, Jan. 2018..[著者]
K Adachi, S Hashiguchi, M Saito, S Kashiwagi, T Miyazaki, H Kawai, Hirotsugu Yamada, T Iwase, Masashi Akaike, Shoichiro Takao, M Kobayashi, M Ishizaki, T Matsumura, M Mori-YoshimuraandE Kimura : Detection and management of cardiomyopathy in female dystrophinopathy carriers, Journal of the Neurological Sciences, Vol.386, (号), 74-80, 2018..[著者]
Gulinu Maimaituxun, Michio Shimabukuro, Daiju Fukuda, Shusuke Yagi, Yukina Hirata, Takashi Iwase, Shoichiro Takao, Tomomi Matsuura, Takayuki Ise, Kenya Kusunose, Takeshi Tobiume, Koji Yamaguchi, Hirotsugu Yamada, Takeshi Soeki, Tetsuzo Wakatsuki, Masafumi HaradaandMasataka Sata : Local Thickness of Epicardial Adipose Tissue Surrounding the Left Anterior Descending Artery Is a Simple Predictor of Coronary Artery Disease - New Prediction Model in Combination With Framingham Risk Score., Circulation Journal, Vol.82, No.5, 1369-1378, 2018..[著者]
Shoichiro Takao, Sayaka Kondo, Junji UenoandTadashi Kondo : Deep feedback GMDH-type neural network and its application to medical image analysis of MRI brain images, Artificial Life and Robotics, Vol.23, No.2, 161-172, 2018..[著者]
Shoichiro Takao, Sayaka Kondo, Junji UenoandTadashi Kondo : Medical image analysis of abdominal X-ray CT images by deep multi-layered GMDH-type neural network, Artificial Life and Robotics, Vol.23, No.2, 271-278, 2018..[著者]
Shigeo Hagiwara, Albert Yang, Shoichiro Takao, Yasuhito Kaneko, Taiki NozakiandHiroshi Yoshioka : New scoring system in assessment of Hoffa's fat pad synovitis: A comparative study with established scoring systems., World Journal of Radiology, Vol.10, No.11, 162-171, 2018..[著者]
Toshiyuki Iwame, Tetsuya Matsuura, Joji Iwase, Shoichiro Takao, Hiroshi EgawaandKoichi Sairyo : Two Years of Follow-up Magnetic Resonance Imaging for Osteochondral Injury of the Lateral Femoral Condyle in an Adolescent Basketball Player., The Journal of Medical Investigation : JMI, Vol.66, No.1.2, 213-217, 2019..[著者]
Masashi Kano, Toshihiko Nishisho, Ryo Miyagi, Fumio Chikugo, Eiji Kudo, Shoichiro Takao, Seiji Iwamoto, Shun-ichi TokiandKoichi Sairyo : Intimal sarcoma arising from the common iliac artery presenting with artery occlusion : a case report and literature review., The Journal of Medical Investigation : JMI, Vol.66, No.1.2, 205-208, 2019..[著者]
Shoichiro Takao : Medical image analysis of X-ray CT images using hybrid deep neural network of deep feedback GMDH-type neural network and convolutional neural network, Proceedings of the twenty-fifth international symposium on artificial life and robotics 2020(AROB 25th 2020), pp.435-442, (2020), Vol.-, No.0, 435-442, Beppu, Jan. 2020..[著者]
Shoichiro Takaoand近藤 正 : Hybrid deep neural network of deep multi-layered GMDH-type neural network and convolutional neural network and its application to medical image recognition of chest regions, The twenty-sixth international symposium on artificial life and robotics 2021(AROB 26th 2021), Vol.-, (号), 353-359, Online(Zoom), Sep. 2020..[著者]
Kosuke Sugiura, Masatoshi Morimoto, Kousaku Higashino, Makoto Takeuchi, Hiroaki Manabe, Shoichiro Takao, Toru MaedaandKoichi Sairyo : Transitional vertebrae and numerical variants of the spine : prevalence and relationship to low back pain or degenerative spondylolisthesis., The Bone & Joint Journal, Vol.103-B, No.7, 1301-1308, 2021..[著者]
Moriaki Yamanaka, Shoichiro Takao, Hideki Otsuka, Youichi Otomi, Saho Irahara, Yamato Kunikane, Satoru Takashi, Airi Yamamoto, Masataka SataandMasafumi Harada : The Utility of a Combination of <sup>99m</sup>Tc-MIBI Washout Imaging and Cardiac Magnetic Resonance Imaging in the Evaluation of Cardiomyopathy, Annals of Nuclear Cardiology, Vol.7, No.1, 8-16, 2021..[著者]
Mitsuhiro Kinoshita, Shoichiro Takao, Junichiro Hiraoka, Katsuya Takechi, Yoko Akagawa, Kyosuke Osaki, Norio OhnishiandHayato Tani : Risk factors for unsuccessful removal of central venous access ports implanted in the forearm of adult oncologic patients., Japanese Journal of Radiology, Vol.40, No.4, 412-418, 2021..[著者]
Toshiyuki Iwame, Tetsuya Matsuura, Naoto Suzue, Sakurako Katsuura-Kamano, Shoichiro Takao, Jyoji IwaseandKoichi Sairyo : One-year follow-up ultrasonographic study of the subchondral bone surface of the distal femoral epiphysis in children aged 9-11 years., Journal of Pediatric Orthopaedics. Part B, Vol.31, No.2, e174-e179, 2022..[著者]
Shoichiro Takao, Maho Kaneda, Mihoko Sasahara, Suzuka Takayama, Yoshitaka Matsumura, Tetsuya Okahisa, Tsuyoshi Goto, Nori Sato, Shinsuke Katoh, Masafumi HaradaandJunji Ueno : Diffusion tensor imaging (DTI) of human lower leg muscles: correlation between DTI parameters and muscle power with different ankle positions., Japanese Journal of Radiology, 2022..[著者]
Bollos Anne Christine L. Leah, Ryosuke Kasai, Shoichiro Takao, kawabata Yuka, Tetsuya Tanioka, Hitoshi IkushimaandHideki Otsuka : Multimodal Image Analysis for Cardiac Sarcoidosis: A Narrative Review, 6TH SPUP INTERNATIONAL INTERDISCIPLINARY RESEARCH CONFERENCE, Tuguegarao City ,Philippines, Aug. 2023..[著者]
Tetsuya Matsuura, Naoto Suzue, Toshiyuki Iwame, Jyoji Iwase, Kenji Yokoyama, Shoichiro TakaoandKoichi Sairyo : Prevalence of osteochondritis dissecans of the capitellum in elementary school baseball players based on ultrasonographic screening: a 15-year overview in Tokushima, Japan., JSES Int, Vol.14, No.8, 661-666, 2024..[著者]