Kim L. Boyer

Affiliations: 
Rensselaer Polytechnic Institute, Troy, NY, United States 
Area:
Electronics and Electrical Engineering, Computer Science
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"Kim Boyer"

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Dijia Wu grad student 2010 RPI
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Publications

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Wang Q, Wu D, Lu L, et al. (2014) Semantic context forests for learning-based knee cartilage segmentation in 3D MR images Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8331: 105-115
Wang Q, Boyer KL. (2012) The active geometric shape model: A new robust deformable shape model and its applications Computer Vision and Image Understanding. 116: 1178-1194
Wu D, Boyer KL. (2011) Markov random field based phase demodulation of interferometric images Computer Vision and Image Understanding. 115: 759-770
Boyer KL, Wu D. (2011) Resilient subclass discriminant analysis with application to prelens tear film interferometry Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6718: 1-11
Wu D, Boyer KL. (2010) Sign ambiguity resolution for phase demodulation in interferometry with application to prelens tear film analysis Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2807-2814
Wu D, Boyer KL, Nichols JJ, et al. (2010) Texture based prelens tear film segmentation in interferometry images Machine Vision and Applications. 21: 253-259
Kong J, Sertel O, Shimada H, et al. (2009) Computer-aided evaluation of neuroblastoma on whole-slide histology images: Classifying grade of neuroblastic differentiation. Pattern Recognition. 42: 1080-1092
Kong J, Sertel O, Gewirtz A, et al. (2007) Development of Computer Based System To Aid Pathologists in Histological Grading of Follicular Lymphomas. Blood. 110: 3318-3318
Silva L, Bellon ORP, Boyer KL. (2007) Multiview range image registration using the surface interpenetration measure Image and Vision Computing. 25: 114-125
Boyer KL, Herzog A, Roberts C. (2006) Automatic recovery of the optic nervehead geometry in optical coherence tomography. Ieee Transactions On Medical Imaging. 25: 553-70
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