Jason J. Corso
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tag: medical imaging

[1] L. Zhao, D. Chan, Z. Chen, X. Wang, N. Paliwal, J. Xiang, H. Meng, J. J. Corso, and J. Xu. Rapid virtual stenting for intracranial aneurysms. In Proceedings of SPIE Conference on Medical Imaging, 2016. [ bib | http ]
[2] L. Zhao, Z. Peng, K. Finkler, A. Jerebko, J. J. Corso, and X. S. Zhou. Automatic collimation detection in digital radiographs with the directed hough transform and learning-based edge detection. In Patch-Based Techniques in Medical Imaging (LNCS 9467), pages 71--78. Springer International Publishing, 2015. [ bib | .pdf ]
[3] 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 ]
[4] 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 ]
[5] 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 ]
[6] 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. [ bib | .pdf ]
[7] S. Kumar, M. Narayanan, P. Singhal, J. J. Corso, and V. Krovi. Product of tracking experts for surgical tool visual tracking. In IEEE Conference on Automation Science and Engineering, 2013. [ bib | .pdf ]
[8] 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 ]
[9] 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. [ bib | .pdf ]
[10] 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 ]
[11] 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. [ bib | .pdf ]
[12] 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 ]
[13] P. B. Noël, A. Walczak, J. Xu, J. J. Corso, K. R. Hoffmann, and S. Schafer. GPU-based cone beam computed tomography. Computer Methods and Programs in Biomedicine, 98(3):271--277, 2010. [ bib | .pdf ]
[14] 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 ]
[15] 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 ]
[16] P. Noël, J. Xu, K. R. Hoffmann, and J. J. Corso. Geometric tomography: a limited-view approach for computed tomography. In Proceedings of the 25th Annual Symposium on Computational Geometry, 2009. [ bib | .pdf ]
[17] 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 ]
[18] 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 ]
[19] 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 ]
[20] S. Seshamani, M. D. Smith, J. J. Corso, M. O. Filipovich, A. Natarajan, and G. D. Hager. Direct Global Adjustment Methods for Endoscopic Mosaicking. In Proceedings of SPIE Conference on Medical Imaging, 2009. [ bib ]
[21] P. B. Noël, J. J. Corso, J. Xu, K. R. Hoffmann, S. Schafer, and A. Walczak. Reconstruction from a Flexible Number of Projections in Cone-Beam Computed Tomography via Active Shape Models. In Proceedings of SPIE Conference on Medical Imaging, 2009. [ bib | .pdf ]
[22] P. B. Noël, J. Xu, K. R. Hoffmann, J. J. Corso, S. Schafer, and A. Walczak. High Contrast Artifact Reduction in Cone Beam Computed Tomography by Using Geometric Techniques. In Proceedings of SPIE Conference on Medical Imaging, 2009. [ bib | .pdf ]
[23] C. S. Hoeflich and J. J. Corso. Segmentation of 2D Gel Electrophoresis Spots using a Markov Random Field. In Proceedings of SPIE Conference on Medical Imaging, 2009. [ bib | .pdf ]
[24] P. B. Noël, A. Walczak, K. R. Hoffmann, J. Xu, J. J. Corso, and S. Schafer. Clinical Evaluation of GPU-Based Cone Beam Computed Tomography. In Proceedings of High-Performance Medical Image Computing and Computer-Aided Intervention (HP-MICCAI), 2008. [ bib | .pdf ]
[25] 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 ]
[26] 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. [ bib | .pdf ]
[27] 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. [ bib ]
[28] 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 ]
[29] 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. [ bib ]
[30] 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 ]
[31] C. Arnold, J. J. Corso, and A. Bui. An Unsupervised Approach to Automatic Image Annotation. In NSF Biomedical Informatics Workshop: Expanding Secondary Use of Health Data, 2007. [ bib ]
[32] 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. [ bib | .pdf ]
[33] 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 ]
[34] W. W. Lau, N. A. Ramey, J. J. Corso, N. Thakor, and G. D. Hager. Stereo-Based Endoscopic Tracking of Cardiac Surface Deformation. In Proceedings of Seventh International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2004. [ bib ]
[35] D. Sarikaya, J. J. Corso, and K. A. Guru. Detection and localization of robotic tools in robot-assisted surgery videos using deep neural networks for region proposal and detection. IEEE Transactions on Medical Imaging, 2017 (to appear). [ bib ]

last updated: Tue Mar 14 16:40:01 2017; copyright jcorso
Please report broken links to Prof. Corso jjcorso@eecs.umich.edu .