Jason J. Corso
Publications List
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tag: spine imaging
[1]
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R. S. Alomari, J. J. Corso, V. Chaudhary, and G. Dhillon.
Lumbar spine disc herniation diagnosis with a joint shape model.
In Proceedings of Medical Image Computing and Computer Aided
Intervention Workshop on Computational Spine Imaging, 2013.
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.pdf ]
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[2]
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R. S. Alomari, J. J. Corso, V. Chaudhary, and G. Dhillon.
Toward a clinical lumbar CAD: Herniation diagnosis.
International Journal of Computer Aided Radiology and Surgery,
6(1):119-126, 2011.
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.pdf ]
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[3]
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R. S. Alomari, J. J. Corso, and V. Chaudhary.
Labeling of lumbar discs using both pixel- and object-level features
with a two-level probabilistic model.
IEEE Transactions on Medical Imaging, 30(1):1-10, 2011.
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.pdf ]
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[4]
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R. S. Alomari, J. J. Corso, V. Chaudhary, and G. Dhillon.
Lumbar disc herniation cad with a GVF-snake model.
In Proceedings of the 24th International Conference on Computer
Aided Diagnosis and Surgery (CARS '10), 2010.
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.pdf ]
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[5]
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R. S. Alomari, J. J. Corso, V. Chaudhary, and G. Dhillon.
Automatic diagnosis of lumbar disc herniation using shape and
appearance features from mri.
In Proceedings of SPIE Conference on Medical Imaging, 2010.
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[6]
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R. S. Alomari, J. J. Corso, V. Chaudhary, and G. Dhillon.
Computer-aided diagnosis of lumbar disc pathology from clinical lower
spine MRI.
International Journal of Computer Aided Radiology and Surgery,
5(3):287-293, 2010.
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.pdf ]
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[7]
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R. S. Alomari, J. J. Corso, V. Chaudhary, and G. Dhillon.
Desiccation diagnosis in lumbar discs from clinical mri with a
probabilistic model.
In Proceedings of 2009 IEEE International Symposium on
Biomedical Imaging, 2009.
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[8]
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R. S. Alomari, J. J. Corso, V. Chaudhary, and G. Dhillon.
Abnormality detection in lumbar discs from clinical mr images with a
probabilistic model.
In Proceedings of 23rd International Congress and Exhibition on
Computer Assisted Radiology and Surgery (CARS 2009), 2009.
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.pdf ]
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[9]
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J. J. Corso, R. S. Alomari, and V. Chaudhary.
Lumbar disc localization and labeling with a probabilistic model on
both pixel and object features.
In Proceedings of Medical Image Computing and Computer Aided
Intervention (MICCAI), volume LNCS 5241 Part 1, pages 202-210, 2008.
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