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Takeshi Hara: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Takeshi Hara, Akitsugu Yamada, Hiroshi Fujita, Norimitsu Shinohara, Katsuhei Horita, Takuji Iwase, Tokiko Endo
    Contrast correction method for detecting microcalcifications on mammograms by using step-wedge index. [Citation Graph (0, 0)][DBLP]
    CARS, 2001, pp:567-572 [Conf]
  2. Takeshi Hara, Akira Yamamoto, Xiangrong Zhou, Shingo Iwano, Shigeki Itou, Hiroshi Fujita, Takeo Ishigaki
    Automated volume measurements of pulmonary emphysema on 3D chest CT images. [Citation Graph (0, 0)][DBLP]
    CARS, 2003, pp:1043-1048 [Conf]
  3. Yuji Hatanaka, Takeshi Hara, Hiroshi Fujita, Satoshi Kasai, Tokiko Endo, Takuji Iwase
    An automated detection method of mammographic masses existing around thick-mammary-gland and near chest-wall regions. [Citation Graph (0, 0)][DBLP]
    CARS, 2001, pp:560-566 [Conf]
  4. Yuji Hatanaka, Yusuke Sakakibara, Takeshi Hara, Hiroshi Fujita, Akira Aoyama, Tetsuya Yamamoto
    Development of an automated method for detecting abnormal blood vessels on retinal images. [Citation Graph (0, 0)][DBLP]
    CARS, 2004, pp:1363- [Conf]
  5. Shinji Kobayashi, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Takuji Kiryu, Hiroaki Hoshi
    Automated identification of thoracic cage region from X-ray CT images. [Citation Graph (0, 0)][DBLP]
    CARS, 2004, pp:1357- [Conf]
  6. Tomoko Matsubara, Tetsuko Ichikawa, Takeshi Hara, Hiroshi Fujita, Satoshi Kasai, Tokiko Endo, Takuji Iwase
    Automated detection methods for architectural distortions around skinline and within mammary gland on mammograms. [Citation Graph (0, 0)][DBLP]
    CARS, 2003, pp:950-955 [Conf]
  7. Tomoko Matsubara, Tetsuko Ichikawa, Takeshi Hara, Hiroshi Fujita, Satoshi Kasai, Tokiko Endo, Takuji Iwase
    Novel method for detecting mammographic architectural distortion based on concentration of mammary gland. [Citation Graph (0, 0)][DBLP]
    CARS, 2004, pp:867-871 [Conf]
  8. Tomoko Matsubara, D. Yamazaki, M. Kato, Takeshi Hara, Hiroshi Fujita, Takuji Iwase, Tokiko Endo
    An automated classification scheme for mammograms based on amount and distribution of fibroglandular breast tissue density. [Citation Graph (0, 0)][DBLP]
    CARS, 2001, pp:545-552 [Conf]
  9. T. Nakagawa, Takeshi Hara, Hiroshi Fujita, Takuji Iwase, Tokiko Endo, Katsuhei Horita
    Automated contour extraction of mammographic mass shadow using an improved active contour model. [Citation Graph (0, 0)][DBLP]
    CARS, 2004, pp:882-885 [Conf]
  10. Xuejun Zhang, Masayuki Kanematsu, Hiroshi Fujita, Takeshi Hara, Hiroshi Kondo, Xiangrong Zhou, Wenguang Li, Hiroaki Hoshi
    Compute-aided differentiation of focal liver lisease in MR imaging. [Citation Graph (0, 0)][DBLP]
    CARS, 2003, pp:1063-1069 [Conf]
  11. Xiangrong Zhou, Shigeaki Kobayashi, Tatsuro Hayashi, N. Murata, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Takuji Kiryu, Hiroaki Hoshi, Machiko Sato
    Lung structure recognition - a further study of thoracic organ recognitions based on CT Images. [Citation Graph (0, 0)][DBLP]
    CARS, 2003, pp:1025-1030 [Conf]
  12. Takeshi Hara, Hiroshi Fujita, Yongbum Lee, Hitoshi Yoshimura, Shoji Kido
    Automated Lesion Detection Methods for 2D and 3D Chest X-Ray Images. [Citation Graph (0, 0)][DBLP]
    ICIAP, 1999, pp:768-773 [Conf]
  13. Daisuke Fukuoka, Yuji Ikedo, Takeshi Hara, Hiroshi Fujita, Etsuo Takada, Tokiko Endo, Takako Morita
    Development of Breast Ultrasound CAD System for Screening. [Citation Graph (0, 0)][DBLP]
    Digital Mammography / IWDM, 2006, pp:392-398 [Conf]
  14. Takeshi Hara, Takanari Makita, Tomoko Matsubara, Hiroshi Fujita, Yoriko Inenaga, Tokiko Endo, Takuji Iwase
    Automated Detection Method for Architectural Distortion with Spiculation Based on Distribution Assessment of Mammary Gland on Mammogram. [Citation Graph (0, 0)][DBLP]
    Digital Mammography / IWDM, 2006, pp:370-375 [Conf]
  15. Gobert N. Lee, Takeshi Hara, Hiroshi Fujita
    Classifying Masses as Benign or Malignant Based on Co-occurrence Matrix Textures: A Comparison Study of Different Gray Level Quantizations. [Citation Graph (0, 0)][DBLP]
    Digital Mammography / IWDM, 2006, pp:332-339 [Conf]
  16. Xiangrong Zhou, Teruhiko Kitagawa, Takeshi Hara, Hiroshi Fujita, Xuejun Zhang, Ryujiro Yokoyama, Hiroshi Kondo, Masayuki Kanematsu, Hiroaki Hoshi
    Constructing a Probabilistic Model for Automated Liver Region Segmentation Using Non-contrast X-Ray Torso CT images. [Citation Graph (0, 0)][DBLP]
    MICCAI (2), 2006, pp:856-863 [Conf]
  17. Yuji Hatanaka, Takeshi Hara, Hiroshi Fujita, Satoshi Kasai, Tokiko Endo, Takuji Iwase
    Development of an Automated Method for Detection Mammographic Masses with a Partial Loss of Region. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2001, v:20, n:12, pp:1209-1214 [Journal]
  18. Yongbum Lee, Takeshi Hara, Hiroshi Fujita
    Automated Detection of Pulmonary Nodules in Helical CT Images Based on an Improved Template-matching Technique. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2001, v:20, n:7, pp:595-604 [Journal]

  19. Classification of Benign and Malignant Masses in Ultrasound Breast Image Based on Geometric and Echo Features. [Citation Graph (, )][DBLP]


  20. Computerized Classification of Mammary Gland Patterns in Whole Breast Ultrasound Images. [Citation Graph (, )][DBLP]


  21. Development of Whole Breast Ultrasound Viewer and Automated Mass Detection System. [Citation Graph (, )][DBLP]


  22. Classifying Breast Masses in Volumetric Whole Breast Ultrasound Data: A 2.5-Dimensional Approach. [Citation Graph (, )][DBLP]


  23. Automatic Measurement of Vertical Cup-to-Disc Ratio on Retinal Fundus Images. [Citation Graph (, )][DBLP]


  24. State-of-the-Art of Computer-Aided Detection/Diagnosis (CAD). [Citation Graph (, )][DBLP]


  25. CAD on Liver Using CT and MRI. [Citation Graph (, )][DBLP]


  26. CAD on Brain, Fundus, and Breast Images. [Citation Graph (, )][DBLP]


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