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Jason J. Corso
Publications List
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tag: neuroimaging
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[1]
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W. Wu, A. Y. C. Chen, L. Zhao, and J. J. Corso.
Brain tumor detection and segmentation in a CRF (conditional random
fields) framework with pixel-pairwise affinity and superpixel-level features.
International Journal of Computer Aided Radiology and Surgery,
9(2):241--253, 2014.
[ bib |
http ]
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[2]
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A. Barbu, D. Barrett, W. Chen, N. Siddharth, C. Xiong, J. J. Corso,
C. D. Fellbaum, C. Hanson, S. J. Hanson, S. Hélie, E. Malaia, B. A.
Pearlmutter, J. M. Siskind, T. M. Talavage, and R. B. Wilbur.
Seeing is worse than believing: Reading people's minds better than
computer-vision methods recognize actions.
In Proceedings of European Conference on Computer Vision, 2014.
[ bib |
.pdf ]
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[3]
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L. Zhao, W. Wu, and J. J. Corso.
Semi-automatic brain tumor segmentation by constrained MRFs using
structural trajectories.
In Proceedings of Medical Image Computing and Computer Aided
Intervention, 2013.
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.pdf ]
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[4]
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A. Barbu, N. Siddharth, C. Xiong, J. J. Corso, C. D. Fellbaum,
C. Hanson, S. J. Hanson, S. Hélie, E. Malaia, B. A. Pearlmutter, J. M.
Siskind, T. M. Talavage, and R. B. Wilbur.
The compositional natural of verb and argument representations in the
human brain.
Technical Report 1306.2293, arXiv, 2013.
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http ]
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[5]
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D. Gagneja, C. Xiong, and J. J. Corso.
Towards a parts-based approach to sub-cortical brain structure
parsing.
In Proceedings of SPIE Conference on Medical Imaging, 2011.
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.pdf ]
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[6]
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J. J. Corso, E. Sharon, S. Dube, S. El-Saden, U. Sinha, and
A. Yuille.
Efficient Multilevel Brain Tumor Segmentation with Integrated
Bayesian Model Classification.
IEEE Transactions on Medical Imaging, 27(5):629--640, 2008.
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.pdf ]
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[7]
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J. J. Corso, Z. Tu, A. Yuille, and A. W. Toga.
Segmentation of Sub-Cortical Structures by the Graph-Shifts
Algorithm.
In Proceedings of Information Processing in Medical Imaging
(IPMI), volume LNCS 4584, pages 183--197, 2007.
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[8]
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J. J. Corso, A. L. Yuille, N. L. Sicotte, and A. Toga.
Detection and Segmentation of Pathological Structures by the
Extended Graph-Shifts Algorithm.
In Proceedings of Medical Image Computing and Computer Aided
Intervention (MICCAI), 2007.
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.pdf ]
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[9]
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S. Dube, J. J. Corso, T. F. Cloughesy, S. El-Saden, A. Yuille, and
U. Sinha.
Data Mining Systems Analysis and Optimization in Biomedicine,
chapter Automated MR Image Processing and Analysis of Malignant Brain Tumors:
Enabling Technology for Data Mining.
American Institute of Physics, 2007.
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[10]
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J. J. Corso, E. Sharon, and A. L. Yuille.
Multilevel Segmentation and Integrated Bayesian Model Classification
with an Application to Brain Tumor Segmentation.
In Proceedings of Medical Image Computing and Computer Aided
Intervention (MICCAI), volume 2, pages 790--798, 2006.
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.pdf ]
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