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Jason J. Corso
Publications List
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tag: braintumor
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[1]
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B. H. Menze, A. Jakab, S. Bauer, J. Kalpathy-Cramer, K. Farahani, J. Kirby,
Y. Burren, N. Porz, J. Slotboom, R. Wiest, L. Lanczi, R. Gerstner, M.-A.
Weber, T. Arbel, B. B. Avants, N. Ayache, P. Buendia, D. L. Collins,
N. Cordier, J. J. Corso, A. Criminisi, T. Das, H. Delingette,
C. Demiralp, C. R. Durst, M. Dojat, S. Doyle, J. Festa, F. Forbes,
E. Geremia, B. Glocker, P. Golland, X. Guo, A. Hamamci, K. M. Iftekharuddin,
R. Jena, N. M. John, E. Konukoglu, D. Lashkari, J. A. Mariz, R. Meier,
S. Pereira, D. Precup, S. J. Price, T. Riklin Raviv, S. Reza, M. Ryan,
D. Sarikaya, L. Schwartz, H.-C. Shin, J. Shotton, C. A. Silva, N. Sousa,
N. K. Subbanna, G. Szekely, T. J. Taylor, O. M. Thomas, N. J. Tustison,
G. Unal, F. Vasseur, M. Wintermark, D. H. Ye, L. Zhao, B. Zhao, D. Zikic,
M. Prastawa, M. Reyes, and K. Van Leemput.
The multimodal brain tumor image segmentation benchmark (brats).
IEEE Transactions on Medical Imaging, 34(10):1993--2024, 2015.
[ bib |
http ]
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[2]
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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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[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.
[ bib |
.pdf ]
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[4]
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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.
[ bib |
.pdf ]
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[5]
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S. Dube, J. J. Corso, A. Yuille, T. F. Cloughesy, S. El-Saden, and
U. Sinha.
Hierarchical Segmentation of Malignant Gliomas Via Integrated
Contextual Filter Response.
In Proceedings of SPIE Conference on Medical Imaging, 2008.
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[6]
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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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[7]
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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.
[ bib |
.pdf ]
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