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tag: computer-aided diagnosis

[1] 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 ]
[2] 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. [ bib | .pdf ]
[3] 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. [ bib | .pdf ]
[4] 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. [ bib | .pdf ]
[5] 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. [ bib | .pdf ]
[6] 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. [ bib | .pdf ]
[7] 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. [ bib | .pdf ]
[8] Y. Tao, L. Lu, M. Dewan, A. Y. C. Chen, J. J. Corso, J. Xuan, M. Salganicoff, and A. Krishnan. Multi-level ground glass nodule detection and segmentation in ct lung images. In Proceedings of Medical Image Computing and Computer Aided Intervention (MICCAI), volume LNCS 5762, pages 715--723, 2009. [ bib | .pdf ]
[9] I. Nwogu and J. J. Corso. Exploratory identification of image-based bio-markers for solid mass pulmonary tumors. In Proceedings of Medical Image Computing and Computer Aided Intervention (MICCAI), volume LNCS 5241, Part 1, pages 612--619, 2008. [ bib | .pdf ]
[10] 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. [ bib | .pdf ]

last updated: Wed Dec 11 11:05:55 2019; copyright jcorso
Please report broken links to Prof. Corso jjcorso@eecs.umich.edu .