国際会議発表

  1. D.Miyazaki, T.Saneshige, M.Baba, R.Furukawa, M.Aoyama, S.Hiura
    Metamerism-Based Shading Illusion, Proc. IAPR Int. Conf. on Machine Vision Applications
    MVA2015, to appear, 2015, 5.

  2. T.Nakane, M.Baba, S.Hiura, R.Furukawa, D.Miyazaki, M.Aoyama
    Simulating Tilt-Shift Lens Using Distributed Ray Tracing
    IEVC2014, 5 pages, 2014, 10.

  3. M.Baba, K.Ishimaru, S.Hiura, R.Furukawa, D.Miyazaki, M.Aoyama
    Estimation of Scattering Properties of Participating Media Using Multiple-Scattering Renderer
    IEVC2014, 6 pages, 2014, 10.

  4. R.Furukawa, M.Aoyama, S.Hiura, H.Aoki, Y.Kominami, Y.Sonomura, S.Yoshida, S.Tanaka, R.Sagawa, H.Kawasaki
    Calibration of a 3D Endoscopic System based on Active Stereo Method for Shape Measurement of Biological Tissues and Specimen
    EMBC2014, pp. 4991-4994, 2014, 8.

  5. D.Komoto, M.Aoyama, Y.Takaki, T.Higaki, W.Fukumoto, K.Awai
    Estimation of Pulmonary Nodule Malignancy: Effect of a Computer-aided Diagnosis System Integrating PET and HRCT Findings on the Performance of Radiologists
    RSNA2013, CL-NMS-SU2A, 2013, 12.

  6. D.Miyazaki, K.Takahashi, M.Baba, H.Aoki, R.Furukawa, M.Aoyama, S.Hiura
    Mixing Paints for Generating Metamerism Art under 2 Lights and 3 Object Colors
    2013 ICCV Workshop, 2013, 12.

  7. H. Aoki, R. Furukawa, M. Aoyama, S. Hiura, N. Asada, R. Sagawa, H. Kawasaki, S. Tanaka, S. Yoshida, Y. Sanomura
    Proposal on 3-D Endoscope by Using Grid-Based Active Stereo
    IEEE Engineering in Medicine and Biology Society (EMBC) 2013, pp.5694-5697, 2013. 7.

  8. H. Aoki, R. Furukawa, M. Aoyama, S. Hiura, N. Asada, R. Sagawa, H. Kawasaki, T. Shiga, A. Suzuki
    Noncontact Measurement of Cardiac Beat by Using Active Stereo with Waved-Grid Pattern
    IEEE Engineering in Medicine and Biology Society (EMBC) 2013, pp.1756-1759, 2013. 7.

  9. T. Kamikawa, D. Miyazaki, M. Baba, R. Furukawa, M. Aoyama, S. Hiura, N. Asada
    High Density Shapes Using Photometric Stereo and Laser Range Sensor under Unknown Light-Source Derection
    Proceedings of International Conference on Machine Vision Applications (MVA) 2013, pp.125-128, 2013. 5.

  10. M. Yokomizo, D. Miyazaki, M. Baba, R. Furukawa, M. Aoyama, S. Hiura, N. Asada
    Optimization of 3D Shape Sharpening Filter Based on Geometric Statistical Values
    Proceedings of International Conference on Machine Vision Applications (MVA) 2013, pp.260-263, 2013. 5.

  11. H.Aoki, R.Furukawa, M.Aoyama, S.Hiura, R.Sagawa, H.Kawasaki
    Extraction and visualization of cardiac beat by grid-based active stereo
    Lecture Notes in Computer Science 7854, Advances in Depth Image Analysis and Applications
    X. Jiang et al. (Eds.):WDIA 2012, pp.146-157, Springer-Verlag Berlin Heidelberg 2013.

  12. D.Miyazaki, K.Nakamura, M.Baba, R.Furukawa, M.Aoyama, S.Hiura, N.Asada
    A first introduction to metamerism art
    SIGGRAPH ASIA 2012, 2012.11.

  13. I.Kawashita, Y.Masumoto, M.Aoyama, N.Asada, M.Nakajima, Y.Okura, T.Ishida
    SU-GG-I-100: Development of computerized method for automated detection of mesothelioma on 3D thoracic CT
    2010 AAPM Annual Meeting Program
    Medical Physics, Vol.37, No.6, 3124, 2010, 1.

  14. M.Aoyama, Y.Nakayama, K.Awai, N.Asada and Y.Yamashita
    New Method for Accurate Liver Volume Estimation Using Curve-Fitting: Pilot Study
    RSNA2009, p.584, 2009, 12.

  15. M.Aoyama, T.Kusu, M.Mukunoki, N.Asada, Y.Komeda, T.Okigawa, and J.Urata
    Computer-aided Detection of Intracranial Aneurysms in MRA Images Using Directional Vector Analysis Technique of Luminance Distribution Corresponding to Blood Flow Velocity
    RSNA2009, p.333, 2009, 11.

  16. M.Aoyama, J.Wang, F.Li, K.Doi, and Q.Li
    Computerized classification based on a new three-dimensional segmentation method for pulmonary nodules on high-resolution CT
    RSNA2008, p.311, 2008, 11.

  17. K.Awai, Y.Nakayama, T.Nakaura, Y.Funama, Y.Yamashita, M.Aoyama, et al.
    Optimal dose and injection duration (injection rate) of contrast material for depiction of hypervascular hepatocellular carcinomas at multidetector CT
    RSNA2005, pp.500-501, 2005, 12.

  18. K.Suzuki, F.Li, M.Aoyama, J.Shiraishi, H.Abe, Q.Li, R.Engelmann, S.Sone, H.MacMahon, K.Doi
    Effect of CAD on radiologists' responses in distinction between malignant and benign pulmonary nodules on high-resolution CT
    Proc. SPIE 5749, Medical Imaging 2005, 2005, 2.

  19. F.Li, Q.Li, M.Aoyama, S.Sone, H.McMahon, and K.Doi
    Evaluation of a Computerized Scheme for Differentiating Benign from Malignnant Lung Nodules on High-Resolution CT
    RSNA2004, pp.422-423, 2004, 11.

  20. N.Asada, M.Mukunoki, T.Migita, and M.Aoyama
    Large Object Shape Recovery from Uncalibrated Camera Motion by Non-limear Optimization
    Proceedings of the 6th IASTED International Conference Signal and Image Processing, pp.151-156, 2004, 8.

  21. F.Li, Q.Li, M.Aoyama, J.Shiraishi, H.Abe, K.Suzuki, R.Engelmann, S.Sone, H.MacMahon, K.Doi
    Usefulness of computerized scheme for differentiating benign from malignant lung nodules on high-resolution CT
    Proceedings of CARS2004, pp.946-951, 2004, 6.

  22. M.Aoyama, Q.Li, S.Katsuragawa, F.Li, S.Sone, and K.Doi
    Computerized determination of the likelihood of malignancy for pulmonary nodules on high-resolution CT
    RSNA2003, pp.50, 2003, 12.
      Special focus sessions - Latest developments in computer-aided diagnosis for thoracic CT interpretations -

  23. M.Aoyama, I.Kawashita, Y.Naruse, N.Asada, and K.Awai
    Automated cerebral arteries segmentation and diameter measurement of aneurysm from MR angiograms
    Lecture Notes in Artificial Intelligence 2774, V.Palade, R.J.Howlett, L.Jain eds.,
    pp. 402-409, Springer-Verlag Berlin Heidelberg 2003, 9.

  24. I.Kawashita, M.Aoyama, T.Kajiyama, and N.Asada
    Collimation detection in digital radiographs using plane detection Hough transform
    Lecture Notes in Artificial Intelligence 2774, V.Palade, R.J.Howlett, L.Jain eds.,
    pp. 394-401, Springer-Verlag Berlin Heidelberg 2003, 9.

  25. Q.Li, M.Aoyama, F.Li, S.Sone, H.M.MacMahon, K.Doi
    Potential clinical usufulness of an intelligent computer-aided diagnostic scheme for distinction betweem benign and malignant pulmonary nodules in low-dose CT scans
    Radiology, Vol. 225(P), pp.534-535, 2002, 12.(RSNA2002)

  26. M.Shimosegawa, M.Aoyama, Q.Li, H.Abe, F.Li, K.Doi, et al.
    Development of an image processing scheme for chest radiographs by using a dot printer
    Radiology, Vol. 225(P), pp.188-189, 2002, 12.(RSNA2002)

  27. J.Shiraishi, H.Abe, R.Engelmann, M.Aoyama, H.MacMahon, and K.Doi
    Effect of the computer output on radiologists' decision-making for classification of solitary pulmonary nodules in chest radiographs
    Proceedings of Computer Assisted Radiology and Surgery (CARS) 2002, pp.712-716, 2002, 6.

  28. I.Kawashita, M.Aoyama, T.Kajiyama, and N.Asada
    Collimation detection for radiographs using plane detection Hough transform
    Program and Proceedings on International Congress of Image Science (ICIS'02), pp.272-273, 2002, 5.

  29. H.Abe, M.Aoyama, R.M.Engelmann, Q.Li, H.M.MacMahon, and K.Doi et al.
    Computer-aided diagnosis (CAD) for chest radiography: Interactive demonstration of automated scheme for distinction between benign and malignant pulmonary nodules
    Radiology, Vol.221(P), p.715, 2001, 11.(RSNA2001)
      Award for excellence in design


  30. M.Aoyama, S.Armato, Q.Li, F.Li, S.Sone, and K.Doi
    Likelihood of malignancy of pulmonary nodules on low-dose helical CT
    Radiology, Vol.221(P), p.547, 2001, 11.(RSNA2001)

  31. M.Aoyama, Q.Li, H.Abe, S.Katsuragawa, H.MacMahon, and K.Doi
    Automated computerized scheme for distinction between benign and malignant solitary pulmonary nodules on chest radiographs
    Radiology, Vol.221(P), pp.545-546, 2001, 11.(RSNA2001)

  32. F.L.Valverde, N.Guil, J.Mun^{~}oz, Q.Li, M.Aoyama, K.Doi
    A deformable model for image segmentation in noisy medical images
    Proceedings on International Conference on Image Processing, pp.82-85, 2001, 10.

  33. M.Aoyama, K.Ogawa, and T.Matsuyama,
    Performance Evaluation of Parallel Object Recognition on RTA/1,
    Proceedings of Second Asian Conference on Computer Vision(ACCV'95),
    pp.III-485-III-489, 1995, 12.
    Abstract

  34. T.Matsuyama, N.Asada, M.Aoyama, A.Yamashita, H.Asazu, H.Yamamoto, and K.Ogawa,
    Data Level Parallel Processing for Object Recognition on Recursive Torus Architecture,
    Workshop on Computer Architectures for Machine Perception(CAMP'95),
    pp.90-97, 1995, 9.

  35. T.Matsuyama, N.Asada, and M.Aoyama,
    Parallel Image Analysys on Recursive Torus Architecture,
    Workshop on Computer Architectures for Machine Perception(CAMP'93),
    pp.202-214, 1993, 12.