tag.neuroimaging.bib

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@inproceedings{BaBaChECCV2014,
  author = {Barbu, A. and Barrett, D. and Chen, W. and Siddharth, N. and Xiong, C. and {\bf Corso}, {\bf J. J.} and Fellbaum, C. D. and Hanson, C. and Hanson, S. J. and H{\'e}lie, S. and Malaia, E. and Pearlmutter, B. A. and Siskind, J. M. and Talavage, T. M. and Wilbur, R. B.},
  booktitle = {Proceedings of European Conference on Computer Vision},
  grants = {career, mindseye},
  projects = {career, mindseye},
  researcharea = {CV, MI},
  tags = {computer vision, activity recognition, video understanding, medical imaging, neuroimaging},
  title = {Seeing is Worse than Believing: Reading People's Minds Better Than Computer-Vision Methods Recognize Actions},
  url = {ftp://ftp.ecn.purdue.edu/qobi/eccv2014.pdf},
  venue = {ECCV},
  year = {2014}
}
@techreport{BaSiXiARXIV2013,
  author = {Barbu, A. and Siddharth, N. and Xiong, C. and {\bf Corso}, {\bf J. J.} and Fellbaum, C. D. and Hanson, C. and Hanson, S. J. and H{\'e}lie, S. and Malaia, E. and Pearlmutter, B. A. and Siskind, J. M. and Talavage, T. M. and Wilbur, R. B.},
  grants = {mindseye,career},
  institution = {arXiv},
  number = {1306.2293},
  projects = {mindseye},
  researcharea = {VP},
  tags = {activity recognition, video understanding, natural language, neuroimaging},
  title = {The Compositional Natural of Verb and Argument Representations in the Human Brain},
  url = {http://arxiv.org/pdf/1306.2293v1},
  venue = {ARXIV},
  year = {2013}
}
@article{WuChZhIJCARS2014,
  author = {Wu, W. and Chen, A. Y. C. and Zhao, L. and {\bf Corso}, {\bf J. J.}},
  grants = {career},
  journal = {International Journal of Computer Aided Radiology and Surgery},
  number = {2},
  pages = {241--253},
  projects = {career, braintumor, medimage},
  researcharea = {MI},
  tags = {braintumor, computer-aided diagnosis, graphical models, medical imaging, mrf, neuroimaging, segmentation},
  title = {Brain Tumor Detection and Segmentation in a {CRF} (Conditional Random Fields) Framework with Pixel-pairwise Affinity and Superpixel-level Features},
  url = {http://link.springer.com/article/10.1007%2Fs11548-013-0922-7},
  venue = {IJCARS},
  volume = {9},
  year = {2014}
}
@inproceedings{ZhWuCoMICCAI2013,
  author = {Zhao, L. and Wu, W. and {\bf Corso}, {\bf J. J.}},
  booktitle = {Proceedings of Medical Image Computing and Computer Aided Intervention},
  grants = {career},
  projects = {braintumor,career},
  researcharea = {MI},
  tags = {medical imaging, graphical models, neuroimaging, braintumor},
  title = {Semi-Automatic Brain Tumor Segmentation by Constrained {MRFs} using Structural Trajectories},
  url = {http://web.eecs.umich.edu/~jjcorso/pubs/lzhao_miccai2013_structraj.pdf},
  venue = {MICCAI},
  year = {2013}
}
@inproceedings{GaXiCoSPIE2011,
  author = {Gagneja, D. and Xiong, C. and {\bf Corso}, {\bf J. J.}},
  booktitle = {Proceedings of SPIE Conference on Medical Imaging},
  grants = {career},
  projects = {career},
  researcharea = {MI},
  tags = {medical imaging, neuroimaging, graphical models},
  title = {Towards a Parts-Based Approach to Sub-Cortical Brain Structure Parsing},
  url = {http://web.eecs.umich.edu/~jjcorso/pubs/spie2011_neuroparts.pdf},
  venue = {SPIE},
  year = {2011}
}
@inbook{DuCoClBOOK2007,
  author = {Dube, S. and {\bf Corso},{\bf J. J.} and Cloughesy, T. F. and El-Saden, S. and Yuille, A. and Sinha, U.},
  chapter = {Automated MR Image Processing and Analysis of Malignant Brain Tumors: Enabling Technology for Data Mining},
  projects = {braintumor},
  publisher = {American Institute of Physics},
  researcharea = {MI},
  tags = {medical imaging, data mining, braintumor, neuroimaging},
  title = {Data Mining Systems Analysis and Optimization in Biomedicine},
  venue = {BOOK},
  year = {2007}
}
@inproceedings{CoYuSiMICCAI2007,
  author = {{\bf Corso},{\bf J. J.} and Yuille, A. L. and Sicotte, N. L. and Toga, A.},
  booktitle = {{Proceedings of Medical Image Computing and Computer Aided Intervention (MICCAI)}},
  projects = {graphshifts,braintumor},
  researcharea = {MI},
  tags = {medical imaging, computer-aided diagnosis, neuroimaging, hierarchical, mrf, semantic segmentation},
  title = {{Detection and Segmentation of Pathological Structures by the Extended Graph-Shifts Algorithm}},
  url = {http://web.eecs.umich.edu/~jjcorso/pubs/jcorso_MICCAI2007.pdf},
  venue = {MICCAI},
  year = {2007}
}
@article{CoShDuTMI2008,
  author = {{\bf Corso}, {\bf J. J.} and Sharon, E. and Dube, S. and El-Saden, S. and Sinha, U. and Yuille, A.},
  journal = {IEEE Transactions on Medical Imaging},
  number = {5},
  pages = {629--640},
  projects = {braintumor,supervoxels},
  researcharea = {MI},
  tags = {medical imaging, graphical models, hierarchical, neuroimaging, braintumor},
  title = {{Efficient Multilevel Brain Tumor Segmentation with Integrated Bayesian Model Classification}},
  url = {http://web.eecs.umich.edu/~jjcorso/pubs/jcorso_TMI_braintumor.pdf},
  venue = {TMI},
  volume = {27},
  year = {2008}
}
@inproceedings{CoTuYuIPMI2007,
  author = {{\bf Corso},{\bf J. J.} and Tu, Z. and Yuille, A. and Toga, A. W.},
  booktitle = {Proceedings of Information Processing in Medical Imaging (IPMI)},
  pages = {183--197},
  projects = {graphshifts},
  researcharea = {MI},
  tags = {neuroimaging, medical imaging, hierarchical, semantic segmentation},
  title = {{Segmentation of Sub-Cortical Structures by the Graph-Shifts Algorithm}},
  url = {http://web.eecs.umich.edu/~jjcorso/pubs/jcorso_ipmi2007.pdf},
  venue = {IPMI},
  volume = {LNCS 4584},
  year = {2007}
}
@inproceedings{CoShYuMICCAI2006,
  author = {{\bf Corso},{\bf J. J.} and Sharon, E. and Yuille, A. L.},
  booktitle = {{Proceedings of Medical Image Computing and Computer Aided Intervention (MICCAI)}},
  pages = {790--798},
  projects = {braintumor},
  researcharea = {MI},
  tags = {medical imaging, braintumor, neuroimaging, hierarchical},
  title = {{Multilevel Segmentation and Integrated Bayesian Model Classification with an Application to Brain Tumor Segmentation}},
  url = {http://web.eecs.umich.edu/~jjcorso/pubs/jcorso_MICCAI2006.pdf},
  venue = {MICCAI},
  volume = 2,
  year = {2006}
}