@book{CTT100828919,
  author = {Chen, S. and Kenji Suzuki},
  title = {Bone suppression in chest radiographs by means of anatomically specific multiple massive-training ANNs combined with total variation minimization smoothing and consistency processing},
  publisher = {Springer},
  year = 2014,
}

@book{CTT100828952,
  author = {Kenji Suzuki},
  title = {Computational intelligence in biomedical imaging},
  publisher = {},
  year = 2014,
}

@article{CTT100828438,
  author = {Wang Y. X. and Loffroy R. and Arora R. and Kenji Suzuki and Lee C. H. and Chung H. W. and Oei E. H. and Winston G. P. and Ng C. K.},
  title = {Relative income of clinical faculty members vs. science faculty members in university settings-a short survey of France, Hong Kong, India, Japan, South Korea, The Netherlands, Taiwan, UK, and USA},
  journal = {Quantitative Imaging in Medicine and Surgery},
  year = 2014,
}

@article{CTT100885829,
  author = {Fei Zuo and Jungong Han and Pingkun Yan and Hans van Assen and Kenji Suzuki},
  title = {Special issue: Advanced Computing for Image-Guided Intervention},
  journal = {},
  year = 2014,
}

@article{CTT100828430,
  author = {Yi-Xiang J Wang and Jing-Shan Gong and Kenji Suzuki and Sameh K Morcos},
  title = {Evidence based imaging strategies for solitary pulmonary nodule},
  journal = {Journal of Thoracic Disease},
  year = 2014,
}

@article{CTT100828421,
  author = {He, L. and Zhao, X. and Chao, Y. and Kenji Suzuki},
  title = {Configuration-transition-based connected-component labeling},
  journal = {IEEE Transactions on Image Processing},
  year = 2014,
}

@article{CTT100828420,
  author = {Huynh, H.T. and Karademir, I. and Oto, A. and Kenji Suzuki},
  title = {Computerized liver volumetry on MRI by using 3D geodesic active contour segmentation},
  journal = {American Journal of Roentgenology},
  year = 2014,
}

@article{CTT100885486,
  author = {Zhenghao Shi and Chunjiao Si and Yaning Feng and Lifeng He and Kenji Suzuki},
  title = {A new method based on MTANNs for cutting down false-positives:An evaluation on different versions of commercial pulmonary nodule detection CAD software},
  journal = {Bio-Medical Materials and Engineering,},
  year = 2014,
}

@inproceedings{CTT100829364,
  author = {Kenji Suzuki},
  title = {Mining of Training Samples for Multiple Learning Machines in Computer-Aided Detection of Lesions in CT Images},
  booktitle = {2014 IEEE International Conference on Data Mining Workshop},
  year = 2014,
}

@inproceedings{CTT100829342,
  author = {Cao, G. and Liu, Y. and Kenji Suzuki},
  title = {A new method for false-positive reduction in detection of lung nodules in CT images},
  booktitle = {International Conference on Digital Signal Processing, DSP},
  year = 2014,
}

@inproceedings{CTT100829344,
  author = {Tanaka R. and Sanada S. and Oda M. and Mitsutaka, M. and Kenji Suzuki and Sakuta K. and Kawashima H.},
  title = {Quantitative analysis of rib movement based on dynamic chest bone images: Preliminary results},
  booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
  year = 2014,
}