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Diagnostic Radiology
Diagnostic Radiology

Subject of Study

マルチスライスCTの気管支·肺血管情報に基づく肺区域の画像認識
Three dimensional imaging of the alimentary tract

Book / Paper

Book:

1. Junji Ueno :
標準放射線医学 第7版,
IGAKU-SHOIN Ltd.Tokyo,Japan, Tokyo, Jun. 2011.
2. Hiromu Nishitani and Junji Ueno :
標準放射線医学 第5版,
IGAKU-SHOIN Ltd.Tokyo,Japan, Tokyo, Apr. 1996.
3. Junji Ueno, 栗若 里佳, Kasem Ishtiaq, 東 龍男 and Hiromu Nishitani :
腹部画像診断アトラス (II),
腹部放射線研究会, Tokyo, May 1995.
4. 森 博愛, 小塚 隆弘, 松尾 裕英 and Junji Ueno :
心臓病のイメージ診断,
Medical-Aoi Publications,Inc, Tokyo, Nov. 1992.

Academic Paper (Judged Full Paper):

1. Shoichiro Takao, Maho Kaneda, Mihoko Sasahara, Suzuka Takayama, Yoshitaka Matsumura, Tetsuya Okahisa, Tsuyoshi Goto, Nori Sato, Shinsuke Katoh, Masafumi Harada and Junji 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.
(DOI: 10.1007/s11604-022-01274-1,   PubMed: 35397060)
2. Yuichi Nishiyama, Akinori Morita, Bing Wang, Takuma Sakai, Dwi Ramadhani, Kaoru Tanaka, Megumi Sasatani, Shintaro Ochi, Masahide Tominaga, Hitoshi Ikushima, Junji Ueno, Mitsuru Nenoi and Shin Aoki :
Evaluation of sodium orthovanadate as a radioprotective agent under total-body irradiation and partial-body irradiation conditions in mice.,
International Journal of Radiation Biology, Vol.97, No.9, 1241-1251, 2021.
(Tokushima University Institutional Repository: 116409,   DOI: 10.1080/09553002.2021.1941377,   PubMed: 34125648)
3. Shoichiro Takao, Sayaka Kondo, Junji Ueno and Tadashi 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.
(DOI: 10.1007/s10015-017-0420-z)
4. Shoichiro Takao, Sayaka Kondo, Junji Ueno and Tadashi 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.
(DOI: 10.1007/s10015-017-0410-1)
5. Shoichiro Takao, Sayaka Kondo, Junji Ueno and Tadashi 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.
(DOI: 10.1007/s10015-017-0392-z,   Elsevier: Scopus)
6. Tadashi Kondo, Sayaka Kondo, Junji Ueno and Shoichiro 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.
(DOI: 10.1007/s10015-016-0337-y)
7. Yuto Konishi, Yuki Kanazawa, Takatoshi Usuda, Yuki Matsumoto, Hiroaki Hayashi, Tsuyoshi Matsuda, Junji Ueno and Masafumi Harada :
Simple noise reduction for diffusion weighted images,
Radiological Physics and Technology, Vol.9, No.2, 221-226, 2016.
(Tokushima University Institutional Repository: 110815,   DOI: 10.1007/s12194-016-0350-9,   PubMed: 26984734)
8. Tadashi Kondo, Junji Ueno and Shoichiro 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.
(Tokushima University Institutional Repository: 112962,   DOI: 10.2991/jrnal.2016.3.1.5)
9. Tadashi Kondo, Junji Ueno and Shoichiro 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.
(Tokushima University Institutional Repository: 112961,   DOI: 10.2991/jrnal.2016.2.4.11)
10. Tadashi Kondo, Junji Ueno and Shoichiro 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.
11. Tadashi Kondo, Junji Ueno and Shoichiro 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.
(DOI: 10.2991/jrnal.2015.2.3.7)
12. Tadashi Kondo, Junji Ueno and Shoichiro 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.
(DOI: 10.1007/s10015-015-0213-1,   Elsevier: Scopus)
13. Tadashi Kondo, Junji Ueno and Shoichiro 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.
(DOI: 10.2991/jrnal.2015.2.2.6)
14. Tadashi Kondo, Junji Ueno and Shoichiro 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.
(DOI: 10.1007/s10015-015-0200-6,   Elsevier: Scopus)
15. Tadashi Kondo, Junji Ueno and Shoichiro 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.
(Elsevier: Scopus)
16. Tadashi Kondo, Junji Ueno and Shoichiro 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.
(Elsevier: Scopus)
17. Yuki Konishi, Hiroaki Hayashi, Kazuki Takegami, Ikuma Fukuda and Junji Ueno :
Development of cloud chamber having thin-film entrance windows and proposal of practical training for beginners using X-ray equipment and unsealed radioactive material,
Japanese Journal of Radiological Technology, Vol.70, No.1, 26-33, 2014.
(DOI: 10.6009/jjrt.2014_JSRT_70.1.26,   PubMed: 24464061,   CiNii: 1390001206363364736,   Elsevier: Scopus)
18. Watanabe Hidefumi, Shimizu Akinobu, Umetsu Shun, Kobatake Hidefumi, Junji Ueno and Nawano Shigeru :
Semi-automated Organ Segmentation Using 3-dimensional Medical Imagery through Sparse Representation,
Transactions of the Japanese Society for Medical and Biological Engineering, Vol.51, No.5, 300-312, 2013.
(DOI: 10.11239/jsmbe.51.300,   CiNii: 1390282680244962048,   Elsevier: Scopus)
19. Tadashi Kondo, Junji Ueno and Shoichiro 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.
(DOI: 10.1016/j.procs.2013.09.093)
20. Hiroaki Hayashi, Hiroki Hanamitsu, Sadamitsu Nishihara, Junji Ueno and Hirokazu Miyoshi :
Proposal of an experiment of the cloud chamber using the diagnostic X-ray apparatus and an analysis assisted by the simulation code,
Japanese Journal of Radiological Technology, Vol.69, No.4, 386-392, 2013.
(Tokushima University Institutional Repository: 113652,   DOI: 10.6009/jjrt.2013_JSRT_69.4.386,   PubMed: 23609860,   CiNii: 1390282681337767040)
21. Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Junji Ueno, 中野 恭幸, 小川 惠美子, 室 繁郎, 大松 広伸 and 森山 紀之 :
Extraction Method of Interlobar Fissure Based on Multi-Slice CT Images,
The Transactions of the Institute of Electronics, Information and Communication Engineers D, Vol.J96-D, No.4, 834-843, 2013.
(CiNii: 1520290882308988416)
22. 高橋 英治, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, 中野 恭幸, Junji Ueno, Masafumi Harada and 森山 紀之 :
Computer Aided Diagnosis for Osteoporosis Using Chest Multi-Slice CT Images,
The Transactions of the Institute of Electronics, Information and Communication Engineers D, Vol.J96-D, No.4, 892-900, 2013.
(CiNii: 1520853832244864256)
23. Tadashi Kondo, Junji Ueno and Shoichiro 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.
(DOI: 10.1007/s10015-013-0094-0,   Elsevier: Scopus)
24. Tadashi Kondo, Junji Ueno and Shoichiro Takao :
Medical image diagnosis of liver cancer by hybrid feedback GMDH-type neural network using heuristic self-organization,
ASE Science Journal, Vol.1, 12-21, 2012.
25. Tadashi Kondo, Junji Ueno and Shoichiro 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.
(DOI: 10.1007/s10015-012-0090-9)
26. Munkhbaatar Dagvasumberel, Michio Shimabukuro, Nishiuchi Takeshi, Junji Ueno, Shoichiro Takao, Daiju Fukuda, Hirata Yoichiro, Hirotsugu Kurobe, Takeshi Soeki, Takashi Iwase, Kenya Kusunose, Toshiyuki Niki, Koji Yamaguchi, Yoshio Taketani, Shusuke Yagi, Tomita Noriko, Hirotsugu Yamada, Tetsuzo Wakatsuki, Masafumi Harada, Tetsuya Kitagawa and Masataka Sata :
Gender disparities in the association between epicardial adipose tissue volume and coronary atherosclerosis: A 3-dimensional cardiac computed tomography imaging study in Japanese subjects.,
Cardiovascular Diabetology, Vol.11, No.1, 106, 2012.
(DOI: 10.1186/1475-2840-11-106,   PubMed: 22963346)
27. Tadashi Kondo and Junji Ueno :
Medical Image Diagnosis of Liver Cancer by Multi-layered GMDH-type Neural Network Using Knowlege Base,
ICIC Express Letters (ICIC-EL), Vol.6, No.4, 863-870, 2012.
28. Tadashi Kondo and Junji Ueno :
Medical Image Diagnosis of Lung Cancer by Feedback GMDH-type Neural Network Self-selecting Neural Network Architectuer,
ICIC Express Letters (ICIC-EL), Vol.6, No.3, 783-790, 2012.
(Elsevier: Scopus)
29. Tadashi Kondo and Junji Ueno :
Feedback GMDH-type Neural Network and Its Application to Medical Image Analysis of Liver Cancer,
International Journal of Innovative Computing, Information and Control, Vol.8, No.3, 2285-2300, 2012.
(Elsevier: Scopus)
30. Seiji Iwamoto, Shoichiro Takao, Hayato Nose, Yoichi Otomi, Mitsuhiko Takahashi, Toshihiko Nishisho, Junji Ueno, Natsuo Yasui and Masafumi Harada :
Usefulness of transcatheter arterial embolization prior to excision of hypervascular musculoskeletal tumors.,
The Journal of Medical Investigation : JMI, Vol.59, No.3-4, 284-288, 2012.
(Tokushima University Institutional Repository: 106035,   DOI: 10.2152/jmi.59.284,   PubMed: 23037202)
31. Tadashi Kondo and Junji Ueno :
Medical image diagnosis of lung cancer by revised GMDH-type neural network using various kinds of neurons,
Artificial Life and Robotics, Vol.16, No.3, 301-306, 2011.
(DOI: 10.1007/s10015-011-0936-6)
32. Hai Lan, Hiromu Nishitani, Sadamitsu Nishihara, Junji Ueno, Shoichiro Takao, Seiji Iwamoto, Takashi Kawanaka, Mawlan MAHMUT and Si 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.
(Tokushima University Institutional Repository: 83831,   DOI: 10.2152/jmi.58.175,   PubMed: 21921417,   Elsevier: Scopus)
33. Tadashi Kondo, Junji Ueno and Shoichiro 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.
(Elsevier: Scopus)
34. Masahide Tominaga, Yoshiki Kawata, Noboru Niki, Noriyuki Moriyama, Kenji Yamada, Junji Ueno and Hiromu Nishitani :
Measurements of multi-detector CT surface dose distributions using a film dosimeter and chest phantom,
Medical Physics, Vol.38, No.5, 2467-2478, 2011.
(DOI: 10.1118/1.3570769,   PubMed: 21776782)
35. Tadashi Kondo, Chihiro Kondo, Shoichiro Takao and Junji 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.
(DOI: 10.1007/s10015-010-0805-8)
36. Shoichiro Takao, Toshinori Sakai, Koichi Sairyo, Tadashi Kondo, Junji Ueno, Natsuo Yasui and Hiromu 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.
(Tokushima University Institutional Repository: 65273,   DOI: 10.2152/jmi.57.133,   PubMed: 20299752,   CiNii: 1390282679220170624)
37. Masahiro Nakagawa, Tadashi Kondo, Kudo Tsuyosi, Shoichiro Takao and Junji 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.
(DOI: 10.1007/s10015-009-0640-y)
38. Chihiro Kondo, Tadashi Kondo and Junji Ueno :
Three-dimensional medical image analysis of the heart by the revised GMDH-type neural network self-selecting optimum nrural network architecture,
Artificial Life and Robotics, Vol.14, No.2, 123-128, 2009.
(DOI: 10.1007/s10015-009-0641-x)
39. Tadashi Kondo and Junji Ueno :
Medical image recognition of abdominal multi-organs by RBF GMDH-type neural network,
International Journal of Innovative Computing, Information and Control, Vol.5, No.1, 225-240, 2009.
(Elsevier: Scopus)
40. Hidenobu Suzuki, 天野 雅史, Shinsuke Saita, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Junji Ueno and Hiromu Nishitani :
DICOM画像の個人情報保護のための匿名化システム,
The Transactions of the Institute of Electronics, Information and Communication Engineers D, Vol.J91-D, No.6, 1656-1662, 2008.
(CiNii: 1520572358822828288)
41. Tadashi Kondo and Junji Ueno :
Multi-Layered GMDH-type Neural Network Self-Selecting Optimum Neural Network Architecture and Its Application to 3-Dimensional Medical Image Recognition of Blood Vessels,
International Journal of Innovative Computing, Information and Control, Vol.4, No.1, 175-187, 2008.
(Elsevier: Scopus)
42. Kazuhide Yoneda, Junji Ueno, Sadamitsu Nishihara, Tetsuya Tsujikawa, Naomi Morita, Hideki Otsuka, Kaori Furutani, Hiromu Nishitani, Kazuya Kondo and Yasuhiko Nishioka :
Postprocessing technique with MDCT data improves the accuracy of the detection of lung nodules,
Radiation Medicine, Vol.25, No.10, 511-515, 2007.
(DOI: 10.1007/s11604-007-0176-9,   PubMed: 18085401,   Elsevier: Scopus)
43. Tadashi Kondo and Junji Ueno :
Logistic GMDH-type Neural Network and Its Application to the Identification of the X-ray Film Characteristic Curve,
Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.11, No.3, 312-318, 2007.
44. Tadashi Kondo, Junji Ueno and Pandya S. Abhijit :
Multi-layered GMDH-type Neural Network with Radial Basis Functions and Its Application to the 3-dimensional Medical Image Recognition of the Liver,
Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.11, No.1, 96-104, 2007.
45. Tadashi Kondo and Junji Ueno :
Medical Image Recognition of the Brain by Revised GMDH-type Neural Network Algorithm with a Feedback Loop,
International Journal of Innovative Computing, Information and Control, Vol.2, No.5, 1039-1052, 2006.
46. Tadashi Kondo and Junji Ueno :
Revised GMDH-type Neural Network Algorithm with a Feedback Loop Identifying Sigmoid Function Neural Network,
International Journal of Innovative Computing, Information and Control, Vol.2, No.5, 985-996, 2006.
47. Tadashi Kondo and Junji Ueno :
Three dimensional medical image recognition of lungs by revised GMDH-type neural network algorithm,
International Journal of Computer Assisted Radiology and Surgery, Vol.1, 364-366, 2006.
(Elsevier: Scopus)
48. Hiromu Nishitani, Kazuhide Yoneda, Junji Ueno and Yamamoto Yuichirou :
Socio-economical effects of film-less PACS; comparison of pre- and post-film-less operation,
International Congress Series, Vol.1281, 959-963, 2005.
(DOI: 10.1016/j.ics.2005.03.058,   Elsevier: Scopus)
49. Tadashi Kondo, Junji Ueno and Kazuya Kondo :
Revised GMDH-type Neural Networks using AIC or PSS Criterion and Their Application to the Medical Image Recognition,
Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.9, No.3, 257-267, 2005.
50. Huang Luping, Fumitaka Ogushi, Kenji Tani, Hirohisa Ogawa, Tetsuya Kawano, Takeshi Endo, Keisuke Izumi, Nobuya Sano, Junji Ueno, Hiromu Nishitani and Saburo Sone :
Thrombin Promotes Fibroblast Proliferation during the Early Stages of Experimental Radiation Pneumonitis,
Radiation Research, Vol.156, No.1, 45-52, 2001.
(DOI: 10.1667/0033-7587(2001)156[0045:TPFPDT]2.0.CO;2,   PubMed: 11418072,   Elsevier: Scopus)
51. Hiroshi Kondoh, Hiromu Nishitani, Junji Ueno, Takeshi Washiashi and Atsushi Ohkoshi :
Evaluation of multi-vendor PACS in the wards, --- performance and users' behavior ---,
Computer Assisted Radiology, Vol.CARS 2000, 354-359, 2000.
52. Hitoshi Ikushima, Yoshihiro Takegawa, Hiroaki Yasuda, Yumi Makimoto, Kenji Matsuzaki, Kenichi Kashihara, Junji Ueno, Mitsunori Sasa, Tadaoki Morimoto and Hiromu Nishitani :
Radiation Complications Following Breast Conserving Therapy,
Breast Cancer, Vol.5, No.4, 395-400, 1998.
53. Hiromu Nishitani, 牧本 裕美, Kenji Matsuzaki, Junji Ueno and 吉田 秀策 :
回転デジタルX線撮影装置を用いたコーンビームC,
Nippon Acta Radiologica, Vol.58, No.8, 451-453, 1998.
54. Ishtiaq Kasem, Junji Ueno and Hiromu Nishitani :
Complexities encountered in reconstructing 3D images of sellar and parasellar lesions from CT data for surgical planning,
Computer Assisted Radiology, Vol.CAR '96, 1010, 1996.
55. Hiromu Nishitani, Shusaku Yoshida, Junji Ueno, K Watanabe and Ishtiaq Kasem :
Undergraduate Radiology Education Utilizing WWW Server-Client System,
Computer Assisted Radiology, Vol.95, 328-329, 1995.
56. Ishtiaq Kasem, Junji Ueno and Hiromu Nishitani :
Multimedia Based Teaching File for Radiological Cases Diagnosed with 3D Images and Models from CT and MR Modalities,
Computer Assisted Radiology, Vol.CAR '95, 323-327, 1995.
57. Takeji Hajime, Junji Ueno and Hiromu Nishitani :
Ectopic Gastric Mucosa in the Upper Esophagus, --- Prevalence and Radiologic Findings ---,
American Journal of Roentgenology, Vol.164, 901-904, 1995.
58. Junji Ueno, Ishtiaq Kasem, 瀬尾 浩二, 東 龍男 and 吉田 秀策 :
Three Dimensional Longitudinal Dissection View of Hollow Viscus,
Nippon Acta Radiologica, Vol.55, No.1, 76-78, 1995.
59. Ishtiaq Kesem, Junji Ueno and Hiromu Nishitani :
Diagnostic Ability of Computer Recreated Images of Pathological Lesions of the Alimentary System,
Computer Applicatons to Assist Radiology, Vol.S/CAR '94, 65-66, 1994.
60. Junji Ueno, Steven W Davis, Akihito Tanakami, Kohji Seo, Shusaku Yoshida, Hiromu Nishitani, Hiroyuki Irie and Charles C Lu :
Ectopic Gastric Mucosa in the Upper Esophagus, --- Detection and Radiographic Findings ---,
Radiology, Vol.191, No.3, 751-753, 1994.
61. 大塚 良一, Hiromu Nishitani, 吉田 秀策, Junji Ueno, 向所 敏文 and 増田 康治 :
環椎,軸椎の描出におけるDual-energy digital radiographyの有用性について,
日本医学放射線学会誌, Vol.49, No.3, 300-303, 1989.
62. 山子 勇仁, 吉田 秀策, 柏原 賢一, 金只 賢治, 斎藤 博史, 松坂 聡, Junji Ueno, 吉田 明義, 仁木 孝明, 城野 良三 and 河野 吉宏 :
大腸villous adenoma 11例のX線所見,
Shikoku Acta Medica, Vol.44, No.1, 24-29, 1988.
63. Junji Ueno :
Distribution of DNA content per mucosa cell nucleus in multiple gastric cancers and their surroundings,
Shikoku Acta Medica, Vol.42, No.5,6, 217-244, 1986.
64. Junji Ueno, 吉田 明義, 宇山 幸久, 高岡 猛 and Toshiaki Sano :
1. 十二指腸悪性リンパ腫と早期胃癌を合併した1例,
胃と腸, Vol.17, No.11, 1269-1272, 1982.

Academic Paper (Unrefereed Paper):

1. Kazuhide Yoneda, Junji Ueno, Tetsuya Tsujikawa, Kaori Furutani, Naomi Morita, Hideki Otsuka and Hiromu Nishitani :
MDCTのボリュームデータを用いた肺結節の検出法の検討,
IEICE Technical Report, Vol.105, No.221, 7-9, 2005.
(CiNii: 1520009408658880896)
2. Kasem Ishtiaq, Junji Ueno and Hiromu Nishitani :
Three Dimensional Dissection View of the Urinary Bladder,
International Journal of Computer Assisted Radiology and Surgery, Vol.94, 729-730, 1994.
3. Junji Ueno, 林 義典, 吉田 秀策, 瀬尾 浩二, 松本 隆裕, 松坂 聡, 柏原 賢一, 大塚 良一 and Hiromu Nishitani :
オムニパークの有用性に関する徳島地区多施設共同研究,
映像情報, Vol.25, No.9, 493-496, 1993.
4. 東 龍男, Junji Ueno, 吉田 秀策, 大塚 良一, 瀬尾 浩二 and Hiromu Nishitani :
点滴静注尿路造影におけるイオパミロン150の使用経験,
The Japanese journal of clinical and experimental medicine, Vol.67, No.3, 269-271, 1990.

Academic Letter:

1. Satoshi Hirakawa, Csaba Rekeczky, Yoshifumi Nishio, Akio Ushida, Tamas Roska, Junji Ueno, Ishtiaq Kasem and Hiromu Nishitani :
Detecting Lung Cancer Symptoms with Analogic CNN Algorithms Based on a Constrained Diffusion Template,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol.E80-A, No.7, 1340-1344, 1997.
2. Kaoru Kitsukawa, Miki Tanouchi, Akihito Tanakami, Junji Ueno, Yujin Yamago and Shusaku Yoshida :
Parasitic Eosinophilic Granuloma of the Stomach Resembling a Submucosal Tumor,
The American Journal of Gastroenterology, Vol.85, No.2, 217-218, 1990.
(PubMed: 2301348)

Review, Commentary:

1. Shoichiro Takao and Junji Ueno :
代謝性骨疾患の画像診断-2017に向けて カルシウム代謝異常の画像診断,
臨床画像, Vol.32, No.12, 1318-1329, Dec. 2016.
2. Shoichiro Takao and Junji Ueno :
画像でみかける偶発所見のマネージメント-あなたならどう書く?- 7-6 脊椎:先天性脊椎癒合症と後天性脊椎癒合,
画像診断, Vol.36, No.9, 918-919, Aug. 2016.
3. Junji Ueno, Shoichiro Takao, Toshiya Okahisa, Mitsuru Kubo and Noboru Niki :
stool tagging法を用いたCT colonography,
Early Colorectal Cancer, Vol.12, No.2, 155-159, Mar. 2008.
4. Junji Ueno :
異常所見を見逃さない読影の秘訣 6上部消化管X線検査,
臨床画像, Vol.22, No.3, 326-333, Mar. 2006.
5. Hiromu Nishitani, Junji Ueno, Kazuhide Yoneda and 山本 勇一郎 :
放射線科と院内システム,
日獨医報, Vol.50, No.3, 70-78, Sep. 2005.
6. Junji Ueno :
超多画像の効率的表示法,読影法,
映像情報Medical, Vol.37, No.9, 822-827, Aug. 2005.
7. Junji Ueno, Tomoya Murase, Kazuhide Yoneda, Tetsuya Tsujikawa, Shoji Sakiyama and Kazuya Kondo :
Three-dimensional imaging of thoracic diseases with multi-detector row CT,
The Journal of Medical Investigation : JMI, Vol.51, No.3,4, 163-170, Aug. 2004.
(Tokushima University Institutional Repository: 110737,   DOI: 10.2152/jmi.51.163,   PubMed: 15460902)
8. Hiromu Nishitani, Hirofumi Yagi, Hirokazu Miyoshi, Junji Ueno and 天野 雅史 :
IVR等における医療被曝局所皮膚累積線量の正確な測定法,記録法の開発研究,
INNERVISION, Vol.19, No.7, 20, Jun. 2004.
9. Tadaoki Morimoto, Kansei Komaki, Junji Ueno and Minoru Irahara :
都道府県の乳がん部会と精中委とのあり方,
日本乳癌検診学会誌, Vol.13, No.2, 195-204, Jun. 2004.
10. Junji Ueno :
診療用放射線による患者被ばく,
Shikoku Acta Medica, Vol.59, No.3, 122-129, Jun. 2003.
(Tokushima University Institutional Repository: 110602)
11. Hiromu Nishitani, Junji Ueno and 近藤 博史 :
病院情報システムとの連携·統合,
映像情報, Vol.32, No.24, 1365-1369, Dec. 2000.
12. Junji Ueno and Hiromu Nishitani :
肺実質および肺抹消血管の発育異常,
インナービジョン, Vol.11, No.3, 49-52, Mar. 1996.
13. Hiromu Nishitani, Junji Ueno, 柏原 賢一, 松崎 健司 and Kasem Ishtiaq :
医療における三次元画像の利用,
臨床画像, Vol.11, No.4, 6-12, Apr. 1995.
14. Junji Ueno :
コダックレーザープリンタの使用体験,
新医療, No.236, 119-121, Aug. 1994.
15. Junji Ueno :
胃(圧迫法),
画像診断, Vol.10, No.5, 604-606, Jan. 1991.
16. Kenji Matsuzaki, Tetsuya Yoshinaga, Noboru Niki, Masafumi Harada, Hiromu Nishitani and Junji Ueno :
三次元画像情報を利用した総合診療支援システムの試み,
映像情報Medical, Vol.23, No.7, 307-310, 1991.
17. 棚上 彰仁, Junji Ueno, 山子 勇仁, 吉田 秀策, Hiromu Nishitani and 坂東 義教 :
頚部食道の異所性胃粘膜,
Japanese Journal of Clinical Radiology, Vol.35, No.13, 1591-1594, Dec. 1990.
18. Junji Ueno, Hiromu Nishitani, 仁木 孝明, 笹下 薫, 露口 勝, 宮内 隆行 and 森住 啓 :
読影講座,
画像診断, Vol.11, No.1, 108-114, May 1990.
19. Junji Ueno and 山子 勇仁 :
胃癌を読む IIc Review (12),
モダンメディシン, Vol.19, No.3, 68-74, Mar. 1990.
20. Junji Ueno and 山子 勇仁 :
胃癌を読む IIc Review (11),
モダンメディシン, Vol.19, No.2, 65-74, Feb. 1990.
21. Junji Ueno and 山子 勇仁 :
胃癌を読む IIc Review (10),
モダンメディシン, Vol.19, No.1, 71-81, Jan. 1990.
22. Junji Ueno and 山子 勇仁 :
胃癌を読む IIc Review (9),
モダンメディシン, Vol.18, No.12, 73-79, Dec. 1989.
23. Junji Ueno and 山子 勇仁 :
胃癌を読む IIc Review (8),
モダンメディシン, Vol.18, No.11, 81-89, Nov. 1989.
24. Junji Ueno and 山子 勇仁 :
胃癌を読む IIc Review (7),
モダンメディシン, Vol.18, No.10, 73-84, Oct. 1989.
25. Junji Ueno and 山子 勇仁 :
胃癌を読む IIc Review (6),
モダンメディシン, Vol.18, No.9, 81-87, Sep. 1989.
26. Junji Ueno and 山子 勇仁 :
胃癌を読む IIc Review (5),
モダンメディシン, Vol.18, No.8, 91-105, Aug. 1989.
27. Junji Ueno and 山子 勇仁 :
胃癌を読む IIc Review (4),
モダンメディシン, Vol.18, No.7, 81-94, Jul. 1989.
28. Junji Ueno and 山子 勇仁 :
胃癌を読む IIc Review (3),
モダンメディシン, Vol.18, No.6, 87-95, Jun. 1989.
29. Junji Ueno and 山子 勇仁 :
胃癌を読む IIc Review (2),
モダンメディシン, Vol.18, No.5, 67-75, May 1989.
30. Junji Ueno and 山子 勇仁 :
胃癌を読む IIc Review (1),
モダンメディシン, Vol.18, No.4, 83-91, Apr. 1989.
31. Junji Ueno :
ルーチンのなかの一つのポイント,
モダンメディシン, Vol.152, No.2, 83-85, Feb. 1986.

Proceeding of International Conference:

1. Shoichiro Takao, Sayaka Kondo, Junji Ueno and Tadashi 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.
2. Shoichiro Takao, Sayaka Kondo, Junji Ueno and Tadashi 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.
3. Tadashi Kondo, Sayaka Kondo, Junji Ueno and Shoichiro 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), Beppu, Jan. 2017.
4. Tadashi Kondo, Sayaka Kondo, Junji Ueno and Shoichiro 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), Beppu, Jan. 2017.
5. Tadashi Kondo, Junji Ueno and Shoichiro 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), 120-124, Okinawa, Jan. 2016.
6. Tadashi Kondo, Junji Ueno and Shoichiro 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), 125-129, Okinawa, Jan. 2016.
7. Tadashi Kondo, Junji Ueno and Shoichiro 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), 237-240, Beppu, Jan. 2016.
8. Tadashi Kondo, Junji Ueno and Shoichiro 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), 233-236, Beppu, Jan. 2016.
9. Tadashi Kondo, Junji Ueno and Shoichiro 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, 313-320, Okinawa, Dec. 2015.
10. Tadashi Kondo, Junji Ueno and Shoichiro 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, Jul. 2015.
(DOI: 10.1109/IIAI-AAI.2015.249)
11. Tadashi Kondo, Junji Ueno and Shoichiro 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.
12. Tadashi Kondo, Junji Ueno and Shoichiro 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.
13. Tadashi Kondo, Junji Ueno and Shoichiro 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.
14. Tadashi Kondo, Junji Ueno and Shoichiro 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.
15. Tadashi Kondo, Junji Ueno and Shoichiro 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.
16. Tadashi Kondo, Junji Ueno and Shoichiro 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.
17. Noboru Niki, Yoshiki Kawata, Hidenobu Suzuki, Masafumi Harada, Hideki Otsuka, Junji Ueno, Mitsuo Shimada, Tetsuji Takayama, Masahiro Abe, Haruimi Itoh, Kenji Eguchi, Masahiko Kusumoto, Takaaki Tsuchida, Hironobu Ohmatsu, Masashi Takahashi, Yasutaka Nakano, Hiroaki Sakai and Yuichi Takiguchi :
Computer-aided diagnosis based on computational anatomical models:Progress overview FY2009-2013,
The 5th International Symposium on the Project ``Computational Anatomy'', 39-43, Mar. 2014.
18. Tadashi Kondo, Junji Ueno and Shoichiro 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.
19. Tadashi Kondo, Junji Ueno and Shoichiro 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.
20. Tadashi Kondo, Junji Ueno and Shoichiro 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.
21. Tadashi Kondo, Junji Ueno and Shoichiro 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.
22. Tadashi Kondo, Junji Ueno and Shoichiro 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.
23. Tadashi Kondo, Junji Ueno and Shoichiro 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.
24. Tadashi Kondo, Junji Ueno and Shoichiro 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, Jun. 2013.
25. Tadashi Kondo, Junji Ueno and Shoichiro 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, Jun. 2013.
26. Noboru Niki, Yoshiki Kawata, Hidenobu Suzuki, Masafumi Harada, Hideki Otsuka, Junji Ueno, Mitsuo Shimada, Tetsuji Takayama, Masahiro Abe, Harumi Itoh, Masahiro Kaneko, Kenji Eguchi, Masahiko Kusumoto, Takaaki Tsuchida, Hironobu Ohmatsu, Masashi Takahashi, Yasutaka Nakano, Hiroaki Sakai and Yuichi Takiguchi :
Computer-Aided Diagnosis Based on Computational Anatomical Models: Progress Overview FY2012,
he 4th International Symposium on the Project ``Computational Anatomy'', 45-51, Feb. 2013.
27. Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Junji Ueno, Yasutaka Nakano, Emiko Ogawa, Shigero Muro, Michiaki Mishima, Hironobu Ohmatsu and Noriyuki Moriyama :
Extraction method of interlobar fissure based on multi-slice CT images,
Proceedings of SPIE, Vol.8670, 867031-1-867031-5, Orlando, Feb. 2013.
(DOI: 10.1117/12.2007822,   Elsevier: Scopus)
28. Tadashi Kondo, Junji Ueno and Shoichiro 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, 575-582, Washington D. C., Dec. 2012.
29. Tadashi Kondo, Junji Ueno and Shoichiro 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, 1925-1930, Kobe, Nov. 2012.
30. Tadashi Kondo, Junji Ueno and Shoichiro 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, 1919-1924, Kobe, Nov. 2012.
31. Tadashi Kondo, Junji Ueno and Shoichiro 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, 119-120, Tokyo, Nov. 2012.
32. Tadashi Kondo, Junji Ueno and Shoichiro 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, 73-74, Tokyo, Nov. 2012.
33. Tadashi Kondo, Junji Ueno and Shoichiro 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, 237-240, Kitakyushu, Aug. 2012.
34. M. Dagvasumberel, Michio Shimabukuro, Junji Ueno, T. Nishiuchi, Takeshi Soeki, Takashi Iwase, Shoichiro Takao, Hirotsugu Yamada, Tetsuya Kitagawa and Masataka Sata :
Gender disparities in the association of epicardial adipose tissue volume and coronary atherosclerosis: a 256-slice multidetector computed tomography study.,
ESC Congress 2012, Aug. 2012.
35. Tadashi Kondo, Junji Ueno and Shoichiro 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), 203-208, Kyoto, Aug. 2012.
36. Tadashi Kondo, Junji Ueno and Shoichiro 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, 663-668, Kobe, Jul. 2012.
37. Tadashi Kondo, Junji Ueno and Shoichiro 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, Jul. 2012.
38. Tadashi Kondo, Junji Ueno and Shoichiro 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, Jul. 2012.
39. Tadashi Kondo, Junji Ueno and Shoichiro Takao :
Feedback GMDH-type neural network algorithm using prediction error criterion defined as AIC,
Proceedings of the 4th international conference on intelligent decision technologies, 313-322, Gifu, May 2012.
40. Noboru Niki, Yoshiki Kawata, Hidenobu Suzuki, Masafumi Harada, Hideki Otsuka, Junji Ueno, Mitsuo Shimada, Tetsuji Takayama, Masahiro Abe, Harumi Itoh, Masahiro Kaneko, Kenji Eguchi, Masahiko Kusumoto, Takaaki Tsuchida, Hironobu Ohmatsu, Masashi Takahashi, Yasutaka Nakano, Hiroaki Sakai and Yuichi Takiguchi :
Computer-aided diagnosis based on computational anatomical models: progress overview FY2011,
The 3rd International Symposium on the Project ``Computational Anatomy'', 35-42, Mar. 2012.
41. Tadashi Kondo, Junji Ueno and Shoichiro 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.
42. Tadashi Kondo, Junji Ueno and Shoichiro 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.
43. Tadashi Kondo, Junji Ueno and Shoichiro 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.
(DOI: 10.1109/SII.2011.6147603,   Elsevier: Scopus)
44. Tadashi Kondo, Junji Ueno and Shoichiro 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.
(DOI: 10.1109/SII.2011.6147604,   Elsevier: Scopus)
45. Tadashi Kondo and Junji Ueno :
Medical Image Diagnosis of Liver Cancer by Multi-layered GMDH-type Neural Network Using Artificial Intelligence Technology,
Abstracts of the 43rd ISCIE international symposium on stochastic systems theory and its applications, 32-33, Shiga, Oct. 2011.
46. Tadashi Kondo and Junji Ueno :
A New Multi-layered GMDH-type Neural Network Algorithm Using Principal Component-Regression Analysis,
Abstracts of the 43rd ISCIE international sysmposium on Stochastic systems theory and its applications, 30-31, Shiga, Oct. 2011.
47. Shoichiro Takao, Koichi Sairyo, Tadashi Kondo, Junji Ueno, Natsuo Yasui and Hiromu Nishitani :
Lumbar spondylolysis: clinical significance of gender difference,
International Skeletal Society 2011 Annual Meeting, San Diego, Sep. 2011.
48. Tadashi Kondo and Junji Ueno :
Medical image diagnosis of lung cancer by revised GMDH-type neural network using heuristic self-organization,
Proceedings of SICE annual concerence 2011, 1254-1259, Tokyo, Sep. 2011.
49. Tadashi Kondo and Junji Ueno :
Revised GMDH-type neural network using principal component-regression analysis,
Proceedings of SICE annual conference 2011, 1248-1253, Tokyo, Sep. 2011.
50. Shoichiro Takao, Toshinori Sakai, Koichi Sairyo, Junji Ueno, Natsuo Yasui and Hiromu Nishitani :
Lumbar spondylolysis: clinical significance of gender difference.,
The International Skeletal Society, San Diego, California, Sep. 2011.
51. Tadashi Kondo and Junji Ueno :
Fedback GMDH-type neural network and Its application to medical image analysis of liver cancer,
Proceedings of the 42th ISCIE Inernational Symposium on Stochastic Systems Theory and Its Applications, 256-263, Okayama, Jun. 2011.
52. Noboru Niki, Yoshiki Kawata, Hidenobu Suzuki, Masafumi Harada, Hideki Otsuka, Junji Ueno, Mitsuo Shimada, Tetsuji Takayama, Masahiro Abe, Harumi Itoh, Masahiro Kaneko, kenji Eguchi, Masahiko Kusumoto, Takaaki Tsuchida, Hironobu Ohmatsu, Masashi Takahashi, Yasutaka Nakano and Hiroaki Sakai :
Computer-aided diagnosis based on computational anatomical models: progress overview FY2010,
The 2nd International Symposium on the Project ``Computational Anatomy'', 95-100, Mar. 2011.
53. Tadashi Kondo and Junji Ueno :
Medical image diagnosis of lung cancer by revised GMDH-type neural network using various kinds of neurons,
Proceedings of the sixteenth International Symposium on Artificial Life and Robotics 2011, 866-869, Beppu, Jan. 2011.
54. Tadashi Kondo, Junji Ueno and Shoichiro 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.
55. Tadashi Kondo and Junji Ueno :
Medical image diagnosis of liver cancer using multi-layered GMDH-type neural network,
Proceedings of Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems, 446-451, Okayama, Dec. 2010.
56. Tadashi Kondo and Junji Ueno :
Feedback GMDH-type neural network and its application to medical image analysis of the liver cancer,
Abstracts of the 42th ISCIE international symposium on stochastic systems theory and its applications, 81-82, Okayama, Nov. 2010.
57. Tadashi Kondo, Junji Ueno and Shoichiro 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.
58. Tadashi Kondo and Junji Ueno :
Nonliear system identification by feedback GMDH-type neural network with architecture self-selecting function,
Proceedings of 2010IEEE Multi-Conference on System and Control, 1521-1526, Yokohama, Sep. 2010.
(DOI: 10.1109/ISIC.2010.5612889,   Elsevier: Scopus)
59. Tadashi Kondo, Masahiro Nakagawa, Shoichiro Takao and Junji 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, Jun. 2010.
60. Masahiro Nakagawa, Tadashi Kondo, Shoichiro Takao and Junji 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, Jun. 2010.
61. Noboru Niki, Yoshiki Kawata, Hiromu Nishitani, Mitsuo Shimada, Junji Ueno, Masafumi Harada, Masahiro Abe, Hideki Otsuka, Harumi Itoh, Masahiro Kaneko, Takaaki Tuchida, Kenji Eguchi, Hironobu Ohmatsu, Masashi Takahashi and Yasutaka Nakano :
Computer-aided diagnosis based on computational anatomical models,
The First International Symposium on the Project ``Computational Anatomy'', 65-71, Tokyo, Feb. 2010.
62. Chihiro Kondo, Tadashi Kondo and Junji Ueno :
Feedback GMDH-type neural network algorithm and its application to medical image analysis of cancer of the liver,
The Fifteenth International Symposium on Artificial Life and Robotics 2010, 790-793, Beppu, Feb. 2010.
63. Masahiro Nakagawa, Tadashi Kondo, Shoichiro Takao and Junji 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, 37-38, Nov. 2009.
64. Tadashi Kondo, Masahiro Nakagawa, Shoichiro Takao and Junji 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, 39-40, Nov. 2009.
65. Tsuyosi Kudo, Tadashi Kondo, Masahiro Nakagawa and Junji Ueno :
Medical image recognition of the white and gray matters of the brain by radial basis function (RBF) neural network,
Proceedings of the 40th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, 259-263, Jun. 2009.
66. Masahiro Nakagawa, Tadashi Kondo, Tsuyosi Kudo, Shoichiro Takao and Junji 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, 171-175, Jun. 2009.
67. Tadashi Kondo and Junji Ueno :
Revised GMDH-type neural network algorithm for medical image recognition and its application to 3-dimensional medical image analysis of the heart,
Proceedings of the 40th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, 148-153, Jun. 2009.
68. Masahiro Nakagawa, Tadashi Kondo, Tsuyosi Kudo, Shoichiro Takao and Junji 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, 385-388, Feb. 2009.
69. Tsuyoshi Kudo, Tadashi Kondo, Masahiro Nakagawa and Junji Ueno :
Medical image recognition of the white and gray matters of the brain by radial basis function (RBF) neural network,
Abstracs of the 40th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, 19-20, Nov. 2008.
70. Tadashi Kondo and Junji Ueno :
Revised GMDH-type neural network algorithm for medical image recognition and its application to 3-demensional medical image analysis of the heart,
Abstracts of the 40th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, 41-42, Nov. 2008.
71. Masahiro Nakagawa, Tadashi Kondo, Tsuyoshi Kudo and Junji Ueno :
Three-dimensional medical image recognition of cancer of the liver by artificial neural network,
Abstracts of the 40th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, 87-88, Nov. 2008.
72. Tadashi Kondo and Junji Ueno :
Medical Image Recognition of Abdominal Organs by RBF GMDH-type Neural Network,
Proceedings of the 39th ISCIE International Symposium In Stochastic Systems Theory and Its Applications, 177-182, Jun. 2008.
73. Sayed Ahmad Zikri Bin Sayed Aluwee, Motokatsu Yasutomo, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Junji Ueno and Hiromu Nishitani :
Region segmentation of CT colonography using stool tagging method to improve the electronic bowel cleansing,
Proc. International Symposium on Biomedical and Physiological Engineering, 62-64, Harbin, Jan. 2008.
74. Tadashi Kondo and Junji Ueno :
Medical image recognition of abdominal organs by RBF GMDH-type neural network,
Abstract of the 39th ISCIE International Symposium on Stochastic Systems Theory and Applications, 56-57, SAGA, Nov. 2007.
75. Tadashi Kondo and Junji Ueno :
Feedback GMDH-type Neural Network Self-Selecting Optimum Neural Network Architecture and Its Application to 3-Dimensional medical Image Recognition of the Lungs,
Proceedings of international Workshop on Inductive Modeling 2007, 63-70, Sep. 2007.
76. Tadashi Kondo and Junji Ueno :
Multi-Layered GMDH-type Neural Network Self-selecting Optimum Neural Network Atcbitrcture and Its Application to Nonlinear System Identification,
Proceedings of international Workshop on Inductive Modeling 2007, 55-62, Sep. 2007.
77. Matuki Takaomi, Kudo Tsuyoshi, Tadashi Kondo and Junji Ueno :
Three dimensional medical images of the lungs and brain recognized by artificial neural networks,
Proceedings of SICE annual Conference 2007, 1117-1121, Sep. 2007.
78. Tadashi Kondo and Junji Ueno :
Medical Image Recognition of Abdominal X-ray CT Images by RBF GMDH-type Neural Network,
Proceedings of SICE annual Conference 2007, 1112-1116, Sep. 2007.
79. Matuki Takaomi, Tadashi Kondo and Junji Ueno :
Three dimensional medical image recognition of the lungs using artificial neural network,
Proceedings of International Symposium on Artificial Life and Robotics, No.PS3, 1-2, Jan. 2007.
80. Tadashi Kondo and Junji Ueno :
Three dimensional medical image recognition of the brain by feedback GMDH-type neural network self-selecting optimum neural network architecture,
Proceedings of International Symposium on Artificial Life and Robotics, No.GS20-2, 1-4, Jan. 2007.
81. Tadashi Kondo and Junji Ueno :
Feedback GMDH-type neural network algorithm self-selecting optimum neural network architecture,
Proceedings of International Symposium on Artificial Life and Robotics, No.GS21-4, 1-4, Jan. 2007.
82. Tadashi Kondo, Junji Ueno, Kazuya Kondo and Abhijit S. Pandya :
An application of self-selecting algorithm for optimum neural network architecture to medical image recognition,
Proceeding of the 44th SICE annual conference, 1657-1661, Aug. 2005.
83. Tadashi Kondo, Junji Ueno, Kazuya Kondo and Abhijit S. Pandya :
An algorithm for self-selecting optimum neural network architecture,
Proceeding of the 44th SICE annual conference, 1645-1650, Aug. 2005.
84. Hiromu Nishitani, Kazuhide Yoneda and Junji Ueno :
Socio-economical effects of film-less PACS: comparison of pre- and post film-less operation,
Berlin, Jun. 2005.
85. Csaba Rekeczky, Yoshifumi Nishio, Akio Ushida, Tamas Roska, Junji Ueno, Ishtiaq Kasem and Hiromu Nishitani :
Analogic CNN Algorithms in Bronchogenic Carcinoma Analysis,
Proceedings of European Conference on Circuit Theory and Design (ECCTD'95), Vol.2, 889-892, Istanbul, Aug. 1995.
86. Tetsuya Tozaki, Yoshiki Kawata, Noboru Niki, Junji Ueno and Hiromu Nishitani :
An Image Guid System for Medical Biopsy Using Thin Slice CT Images,
Computer Assisted Radiology, Vol.95, 1162-1167, Jun. 1995.

Proceeding of Domestic Conference:

1. Shoichiro Takao, 近藤 明佳, Junji Ueno and Tadashi Kondo :
ディープ多層構造型GMDH-typeニューラルネットワークを用いた肝臓がんの医用画像診断,
医療情報学会・人工知能学会AIM合同研究会資料SIG-AIMED-004-03, No.004-03, 1-6, Nov. 2017.
2. Shoichiro Takao, 近藤 明佳, Junji Ueno and Tadashi Kondo :
ディープ多層構造型GMDH-typeニューラルネットワークを用いた肺がんの医用画像診断,
第31回人工知能学会全国大会論文集, No.2J4-2in1, 1-4, Jun. 2017.
3. Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Junji Ueno, 中野 恭幸, 大松 広伸, 楠本 昌彦, 土田 敬明, 江口 研二, 金子 昌弘 and 森山 紀之 :
3 次元マルチスライスCT 画像における胸部構造解析法,
生体医工学シンポジウム2013, 2-2-09, Sep. 2013.
4. Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Junji Ueno, 中野 恭幸, 小川 惠美子, 室 繁郎, 大松 広伸 and 森山 紀之 :
3次元マルチスライスCT画像を用いた胸部構造解析,
電子情報通信学会技術研究報告医用画像, Vol.113, No.219, 11-14, Sep. 2013.
5. 米田 和也, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, 中野 恭幸, Junji Ueno, Masafumi Harada and 森山 紀之 :
胸部マルチスライスCT 画像を用いた骨粗鬆症診断支援システム,
日本医用画像工学会大会, PP1-4, Aug. 2013.
6. Tadashi Kondo, Junji Ueno and Shoichiro Takao :
人工知能技術を用いたX線CT画像を対象にした医用画像診断支援システム,
IEICE Technical Report, Vol.IBISML2013-11, 75-80, Jul. 2013.
7. Tadashi Kondo, Junji Ueno and Shoichiro Takao :
Multi-layered GMDH-type neural network using Prediction Sum of Square (PSS) and its application to medical image diagnosis of liver cancer,
IEICE Technical Report, Vol.IE2013-7, 35-40, Apr. 2013.
(CiNii: 1520572359378860800)
8. Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Junji Ueno, 中野 恭幸, 大松 広伸, 楠本 昌彦, 土田 敬明, 江口 研二, 金子 昌弘 and 森山 紀之 :
3次元マルチスライスCT画像における胸部構造解析法,
第20回日本CT検診学会学術集会, 4-3, Feb. 2013.
9. Eiji Takahashi, Yoshiki Kawata, Noboru Niki, 中野 恭幸, Junji Ueno, Masafumi Harada and 森山 紀之 :
胸部マルチスライスCT画像を用いた骨粗鬆症のコンピュータ支援診断,
第20回日本CT検診学会学術集会, 4-2, Feb. 2013.
10. Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Junji Ueno, 中野 恭幸, 大松 広伸, 楠本 昌彦, 土田 敬明, 江口 研二, 金子 昌弘 and 森山 紀之 :
3次元マルチスライスCT画像における胸部構造解析法,
電子情報通信学会技術研究報告医用画像, Vol.112, No.411, 145-148, Jan. 2013.
11. Eiji Takahashi, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, 中野 恭幸, Junji Ueno, Masafumi Harada and 森山 紀之 :
ルチスライスCT画像を用いた脊椎3次元構造解析,
電子情報通信学会技術研究報告医用画像, Vol.112, No.411, 95-98, Jan. 2013.
12. Tadashi Kondo, Junji Ueno and Shoichiro Takao :
Multi-layered GMDH-type neural network algorithm using Prediction Sum ofSquares(PSS)criterion and its applicationt ononlinear system identification,
IEICE Technical Report, Vol.KBSE2012-64, 35-40, Jan. 2013.
(CiNii: 1520009407608463616)
13. Eiji Takahashi, Yoshiki Kawata, Noboru Niki, 中野 恭幸, Junji Ueno, Junji Ueno, Masafumi Harada and 森山 紀之 :
胸部マルチスライスCT 画像を用いた骨粗鬆症のコンピュータ支援診断,
第5回呼吸機能イメージング研究会学術集会, P13-4-P6-3, Jan. 2013.
14. 森 雄登, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Hideki Otsuka, Junji Ueno and Masafumi Harada :
PET/CT 画像を用いた肺がんCAD システムの評価,
第5回呼吸機能イメージング研究会学術集会, P6-3, Jan. 2013.
15. Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Junji Ueno, 中野 恭幸, 大松 広伸, 楠本 昌彦, 土田 敬明, 江口 研二, 金子 昌弘 and 森山 紀之 :
3次元マルチスライスCT 画像における胸部構造解析法,
第5回呼吸機能イメージング研究会学術集会, P13-3, Jan. 2013.
16. 高橋 英治, Yoshiki Kawata, Noboru Niki, 中野 恭幸, Junji Ueno, Masafumi Harada and 森山 紀之 :
胸部マルチスライスCT 画像を用いた骨粗鬆症のコンピュータ支援診断,
第5回呼吸機能イメージング研究会学術集会, P13-4, Jan. 2013.
17. Tadashi Kondo, Junji Ueno and Shoichiro Takao :
発見的自己組織化の原理を用いてニューラルネットワーク構造を自己組織化する改良形GMDH-typeニューラルネットワークによる肝臓癌の医用画像診断,
IEICE Technical Report, Vol.PRMU2012-32, 17-22, Sep. 2012.
18. Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Junji Ueno, 中野 恭幸, 小川 惠美子, 室 繁郎, 大松 広伸 and 森山 紀之 :
胸部マルチスライスCT画像における葉間裂抽出,
電子情報通信学会技術研究報告医用画像, Vol.112, No.142, 37-40, Jul. 2012.
19. Tadashi Kondo, Junji Ueno and Shoichiro Takao :
予測誤差評価基準にAICを用いる改良形GMDH-typeニューラルネットワークアルゴリズム,
IEICE Technical Report, Vol.KBSE2012-9, 49-54, May 2012.
20. Tadashi Kondo, Junji Ueno and Shoichiro Takao :
多層型人工ニューラルネットワーク構造の自己組織化機能を備えた改良形GMDH-typeニューラルネットワークによる肺癌の医用画像診断,
IEICE Technical Report, Vol.IE2012-1, 1-6, Apr. 2012.
21. Tadashi Kondo, Junji Ueno and Shoichiro Takao :
人工知能技術を用いた多層型GMDH-typeニューラルネットワークによる肝臓癌の医用画像診断,
IEICE Technical Report, Vol.KBSE2011-53, 1-6, Jan. 2012.
22. Tadashi Kondo, Junji Ueno and Shoichiro Takao :
ニューロン構造の自己選択機能を備えたフィードバックGMDH-typeニューラルネットワークによる肺癌の医用画像診断,
IEICE Technical Report, Vol.KBSE2011-54, 7-12, Jan. 2012.
23. Masanori Nishioka, Mitsuo Shimada, Nobuhiro Kurita, Takashi Iwata, Horohiko Sato, Shinya Morimoto, Kouzou Yoshikawa, Tomohiko Miyatani, 政清 史晃, 原田 雅文, Junji Ueno and Noboru Niki :
消化器癌におけるCADSによるリンパ節転移自動診断,
Journal of Japan Society of Computer Aided Surgery, Vol.13, No.3, 174-175, Nov. 2011.
24. Munkhbaatar Dagvasumberel, Junji Ueno, Shoichiro Takao, 西内 健, 平田 陽一郎, 坂東 左知子, 久岡 白陽花, 林 修司, 冨田 紀子, 竹内 秀和, Yuka Ueda, Toshiyuki Niki, Kenya Kusunose, Koji Yamaguchi, Yoshio Taketani, Takashi Iwase, Hirotsugu Yamada, Takeshi Soeki, Tetsuzo Wakatsuki, Tetsuya Kitagawa and Masataka Sata :
Increased epicardial adipose tissue and coronary atherosclerosis.,
第98回 日本循環器学会 中国・四国合同地方会, May 2011.
25. Masanori Nishioka, Nobuhiro Kurita, Kouzou Yoshikawa, Takashi Iwata, Shinya Morimoto, Tomohiko Miyatani, 政清 史晃, 原田 雅文, Junji Ueno, Hiromu Nishitani, Noboru Niki and Mitsuo Shimada :
CADSによるリンパ節転移自動診断(モダリティー比較),
第19回日本コンピューター外科学会, Nov. 2010.
26. Tadashi Kondo, Junji Ueno and Shoichiro Takao :
人工知能を用いた肝臓癌の医用画像診断,
Proceedings of JAMIT2010, No.OP4-5, 1-10, Jul. 2010.
27. Tadashi Kondo, Junji Ueno and Shoichiro Takao :
Medical image diagnosis of liver cancer using revised GMDH-type neural network,
電子情報通信学会技術研究報告, Vol.MI2010-42, 27-32, Jul. 2010.
28. Tadashi Kondo and Junji Ueno :
Medical image diagnosis of liver cancer using revised GMDH-type neural network,
第37回知能システムシンポジューム, 135-140, Mar. 2010.
29. Masahiro nakagawa, Tadashi Kondo, Shoichiro Takao and Junji Ueno :
改良形RBFネットワークを用いた肺野領域の画像認識,
中四国放射線医療技術, No.5, 168, Nov. 2009.
30. Tadashi Kondo and Junji Ueno :
Revised GMDH-type neural network self-organizing optimum neural network architecture and its application to 3-dimensional medical image recognition of heart region,
IEICE Technical Report, Vol.MI2009, No.50, 57-62, Jul. 2009.
31. SayedAhmadZikriBinSayed Aluwee, Motokatsu Yasutomo, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Junji Ueno and Hiromu Nishitani :
Basic segmentation of colonic wall for better boundary extraction accuracy,
Medical Imaging Technology, P39, Aug. 2008.
32. 河村 真太朗, SayedAhmadZikriBinSayed Aluwee, 安友 基勝, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Junji Ueno and Hiromu Nishitani :
マルチスライスCT画像の大腸抽出,
Medical Imaging Technology, P40, Aug. 2008.
33. Sayed AluweeAhmadZikriBinSayed, Motokatsu Yasutomo, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Junji Ueno and Hiromu Nishitani :
Electronic cleansing for CT colonography using stool tagging method based on boundary accuracy classification,
電子情報通信学会技術研究報告 医用画像, Vol.107, No.461, 131-138, Jan. 2008.
34. Sayed Zikri Bin Sayed Aluwee Ahmad, Motokatsu Yasutomo, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Junji Ueno and Hiromu Nishitani :
Improved Electronic Colon Cleansing Method for CTColonography Using Stool Tagging,
CADM, 275-276, Nov. 2007.
35. Sayed Ahmad Zikri Bin Sayed Aluwee, Yasutomo Motokatsu, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Junji Ueno and Hiromu Nishitani :
Segmentation of regions for CT colonography using stool tagging method,
JAMIT, C1-6, Jul. 2007.
36. Sayed Ahmad Zikri Bin Sayed Aluwee, Motokatsu Yasutomo, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Junji Ueno and Hiromu Nishitani :
Electronic cleansing for CT colonography using stool tagging method,
IEICE Technical Report Medical Imaging, Vol.107, No.133, 35-40, Jul. 2007.
37. Sayed Ahmad Zikri Bin Sayed Aluwee, Motokatsu Yasutomo, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Junji Ueno and Hiromu Nishitani :
Evaluation of stool tagging method for CT colonography,
IEICE Technical Report Medical Imaging, Vol.106, No.509, 211-214, Jan. 2007.
38. Junji Ueno :
超多画像時代の観察・診断方法,
Nov. 2006.
39. Aluwee Ahmad Zikri Bin Sayed Sayed, Yasutomo Motokastu, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Junji Ueno and Hiromu Nishitani :
CT Colonography Using Stool Tagging Method,
IEICE Technical Report Medical Imaging, Vol.106, No.226, 53-57, Sep. 2006.
40. Junji Ueno, Kazuhide Yoneda, Naomi Morita, Tetsuya Tsujikawa, Kaori Furutani and Hiromu Nishitani :
MDCTボリュームデータ読影時のinteractive sliding slab non-shading VR法およびMIP法の有用性,
Apr. 2006.
41. 足立 貴志, 安友 基勝, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Junji Ueno and Hiromu Nishitani :
Stool Tagging法に用いる大腸仮想化内視鏡,
電子情報通信学会技術研究報告医用画像, Vol.105, No.579, 53-56, Jan. 2006.
42. 山田 健二, 安友 基勝, Masahide Tominaga, 宮田 英幸 and Junji Ueno :
Real-ECの特性に関する検討,
Dec. 2005.
43. 宮田 英幸, 安友 基勝, Masahide Tominaga, 山田 健二 and Junji Ueno :
Real-ECの特性に関する検討,
Dec. 2005.
44. Masahide Tominaga, 安友 基勝, 山田 健二, 宮田 英幸, Hirofumi Yagi, Junji Ueno and Hiromu Nishitani :
ファントムにおける線量分布のシミュレーション,
Dec. 2005.
45. Tetsuya Tsujikawa, Junji Ueno, 湊 雅子, Kyosuke Osaki, Hitoshi Ikushima and Akira Tangoku :
CT volume dataを用いたセンチネルリンパ節のナビゲーション診断法,
Sep. 2005.
46. 安友 基勝, Junji Ueno, 足立 貴志, Noboru Niki, Yoshiki Kawata, Kazuhide Yoneda, Naomi Morita and Hiromu Nishitani :
Stool Tagging法を用いたCT colonographyに必要な画像処理,
電子情報通信学会技術研究報告 MEとバイオサイバネティックス, Vol.105, No.221, 55-58, Jul. 2005.
47. Kazuhide Yoneda, Junji Ueno, Tetsuya Tsujikawa, Kaori Furutani, Naomi Morita, Hideki Otsuka and Hiromu Nishitani :
MDCTのボリュームデータを用いた肺結節の検出方法の検討,
Jul. 2005.
48. Junji Ueno :
3DCT診断とCAD,
Jul. 2005.
49. 足立 貴志, 安友 基勝, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Junji Ueno and Hiromu Nishitani :
Stool Tagging法に用いる大腸仮想化内視鏡,
JAMIT, 3-4, Jul. 2005.
50. 足立 貴志, 安友 基勝, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Junji Ueno and Hiromu Nishitani :
Stool Tagging法に用いる大腸仮想化内視鏡,
電子情報通信学会技術研究報告 MEとバイオサイバネティックス, Vol.105, No.221, 63-65, Jul. 2005.
51. Kazuhide Yoneda, Junji Ueno, Tomoya Murase, Tetsuya Tsujikawa, Kaori Furutani, Naomi Morita, Hideki Otsuka and Hiromu Nishitani :
MDCTのボリュームデータを用いた肺結節の検出法の検討,
Apr. 2005.
52. Junji Ueno, Kazuhide Yoneda, Tomoya Murase, Naomi Morita and Hiromu Nishitani :
Stool Tagging法の検討,
Apr. 2005.
53. Tadashi Kondo, Junji Ueno and Kazuya Kondo :
最適なネットワーク構造を自己選択する改良形GMDH-typeニューラルネットワークによる医用画像認識,
第32回知能システムシンポジューム論文集, 33-36, Mar. 2005.
54. Junji Ueno, Tomoya Murase, Kazuhide Yoneda and Hiromu Nishitani :
当院におけるフィルムレスPACS半年間の使用経験,
Dec. 2004.
55. Junji Ueno, 安田 浩章, Kyosuke Osaki, 川中 崇 and Hiromu Nishitani :
X線CTによる消化管三次元表示法,
Apr. 2004.
56. Yoshihiro Takegawa, 瀬尾 浩二, 柏原 賢一, Junji Ueno, Shusaku Yoshida and Hiromu Nishitani :
小細胞肺癌の治療成績,
第33回日本肺癌学会中国四国地方会(高松), Jun. 1994.
57. 棚上 彰仁, 柏原 賢一, イシュテアク カセム, 林 義典, Junji Ueno, Shusaku Yoshida, Hiromu Nishitani and Yoshihiro Takegawa :
3次元放射線治療計画システム,
第2回クリニカル・ビデオフォーラム(東京), Feb. 1994.
58. 柏原 賢一, 棚上 彰仁, イシュテアク カセム, 林 義典, Junji Ueno, Shusaku Yoshida, Yoshihiro Takegawa and Hiromu Nishitani :
3次元治療計画システム,
第6回日本放射線腫瘍学会学術大会(福岡) 1993.11. 日本放射線腫瘍学会誌, Vol.5, No.Suppl. 1, 173, Nov. 1993.
59. 橘川 薫, Masafumi Harada, 斎藤 博史, 須井 修, Junji Ueno, Shusaku Yoshida and Yoshihiro Takegawa :
進行子宮頸癌の B-M 療法,
日本医学放射線学会第70回中国・四国地方会(松山) 1988.6. 日本医学放射線学会誌, Vol.49, No.2, 123, Apr. 1989.
60. 田内 美紀, 高橋 雅子, Masafumi Harada, 須井 修, 山子 勇人, Shusaku Yoshida, Hiromu Nishitani, Junji Ueno and Yoshihiro Takegawa :
頭頸部悪性リンパ腫の消化管病変,
日本医学放射線学会第71回中国・四国地方会(岡山) 1988.11. 日本医学放射線学会雑誌, Vol.49, No.9, 92, Apr. 1989.
61. Yoshihiro Takegawa, Junji Ueno, 山子 勇仁, 須井 修 and 河村 文夫 :
高齢者子宮頸癌患者の放射線治療,
日本医学放射線学会第64回中国・四国地方会(宇部), Jun. 1985.
62. 松本 隆裕, 須井 修, 徳元 善昭, Junji Ueno, 黒岡 信幸, 渡辺 紀昭 and Yoshihiro Takegawa :
肺血管性病変におけるエアロゾル肺吸入シンチグラフィー,
第189回徳島医学会, Jul. 1984.
63. 矢部 勇, Yoshihiro Takegawa, Junji Ueno and 城野 良三 :
悪性リンパ腫の放射線治療,
日本医学放射線学会第53回中国・四国地方会(出雲), Dec. 1979.
64. 岡内 宣三, Yoshihiro Takegawa, 高麗 文晶 and Junji Ueno :
CT像と血管像より術前診断したangiomyolipomaの一例,
日本医学放射線学会第50回中国・四国地方会(米子), Jul. 1978.

Et cetera, Workshop:

1. Yoshie Imai, Misako Nakagawa, 滝本 理沙, Kazuya Kondo, 坂東 孝枝, Chiemi Onishi, 笹 三徳, Yukiko Tadokoro, Akira Tangoku, Keiko Mori, Masahito Tomotake, Shoichiro Takao, Junji Ueno, 高橋 雅子, 廣瀬 千恵子 and 久岡 園花 :
ホルモン受容体陽性閉経後乳癌に対するアロマターゼ阻害(AI)剤投与前後の症状とQOLの変化,
第69回徳島乳腺研究会, Apr. 2014.
2. 松木 弘量, Hitoshi Ikushima, Junji Ueno, Hiromu Nishitani and Yoshihiro Takegawa :
乳癌の骨転移に関する放射線治療,
第24回徳島乳腺疾患懇話会, Aug. 1998.
3. Hitoshi Ikushima, 安田 浩明, Junji Ueno, Hiromu Nishitani and Yoshihiro Takegawa :
乳房温存療法における放射線治療,
第21回徳島乳腺疾患懇話会, Jan. 1997.
4. 平川 恵士, Csaba REKECZKY, Yoshifumi Nishio, Akio Ushida, Junji Ueno, Ishtiaq KASEM and Hiromu Nishitani :
CNN による医用画像への応用,
IEICE Technical Report, Vol.CAS95 & NLP95, No.106 & 97, 43-50, Jan. 1996.
5. 柏原 賢一, イシェテアク カセム, Hiromu Nishitani, 棚上 彰仁, 西本 安雄, 森本 好弘, Junji Ueno and Yoshihiro Takegawa :
食道癌の3次元放射線治療計画,
第14回四国食道疾患研究会(徳島), Feb. 1994.
6. Yoshihiro Takegawa, Tadaoki Morimoto, Junji Ueno and 柏原 賢一 :
徳島大学放射線科における乳房温存療法の現状,
第15回徳島乳腺疾患懇話会, Jan. 1994.
7. 柏原 賢一, 瀬尾 浩二, 大塚 良一, 林 義典, 松本 隆裕, Junji Ueno, Shusaku Yoshida, Hiromu Nishitani and Yoshihiro Takegawa :
肺癌放射線治療における腫瘍縮小率に及ぼす化学療法の影響,
第6回徳島肺癌治療懇話会, Apr. 1992.

Grants-in-Aid for Scientific Research (KAKEN Grants Database @ NII.ac.jp)

  • Application of deep learning and GMFH-type neural network for medical image diagnosis and affective engineering (Project/Area Number: 18K04206 )
  • Medical image analysis of abdominal X-ray CT images by hybrid deep neural network of deep logistic GMDH-type neural network and convolutional neural network (Project/Area Number: 15K06145 )
  • Abdominal CT image analysis and computa assisted diagnonsis with new artificial intelligence (Project/Area Number: 24560497 )
  • Computer-Aided Diagnosis Based on Computational Anatomical Models (Project/Area Number: 21103005 )
  • Computational Anatomy for Computer-aided Diagnosis and Therapy : Frontiers of Medical Image Sciences (Project/Area Number: 21103001 )
  • Developments of Computer Aided Diagnosis System of liver cancers using knowledge Engineering for Medical X-ray CT Images (Project/Area Number: 21560428 )
  • Medical image recognition of lungs regions for multi-slice CT images by using the revised GMDH-type neural networks. (Project/Area Number: 15560349 )
  • Intelligent CAD Based on Anatomical Classification (Project/Area Number: 15070209 )
  • Development of accurate measurement and recording system for the measurement of regional accumulated skin dose to patients during IVR, procedures (Project/Area Number: 14370279 )
  • Search by Researcher Number (60116788)