Robert E. Broadhurst, Ph.D.
Affiliations: | 2008 | Computer Science | University of North Carolina, Chapel Hill, Chapel Hill, NC |
Area:
Computer Science, StatisticsGoogle:
"Robert Broadhurst"Parents
Sign in to add mentor| Stephen M. Pizer | grad student | 2008 | UNC Chapel Hill | |
| (Compact appearance in object populations using quantile function based distribution families.) | ||||
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Publications
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| Stough JV, Broadhurst RE, Pizer SM, et al. (2007) Regional appearance in deformable model segmentation. Information Processing in Medical Imaging : Proceedings of the ... Conference. 20: 532-43 |
| Levy JH, Broadhurst RE, Ray S, et al. (2007) Signaling local non-credibility in an automatic segmentation pipeline Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6512 |
| Stough JV, Broadhurst RE, Pizer SM, et al. (2007) Clustering on local appearance for deformable model segmentation 2007 4th Ieee International Symposium On Biomedical Imaging: From Nano to Macro - Proceedings. 960-963 |
| Levy J, Broadhurst R, Jeong J, et al. (2007) Prostate and Bladder Segmentation Using a Statistically Trainable Model International Journal of Radiation Oncology*Biology*Physics. 69: S353 |
| Broadhurst R, Stough J, Tracton G, et al. (2006) 2792 International Journal of Radiation Oncology*Biology*Physics. 66: S652-S653 |
| Broadhurst RE, Stough J, Pizer SM, et al. (2006) A statistical appearance model based on intensity quantile histograms 2006 3rd Ieee International Symposium On Biomedical Imaging: From Nano to Macro - Proceedings. 2006: 422-425 |
| Joshi S, Merck D, Tracton G, et al. (2005) WE-C-I-609-07: On Constructing Priors and Likelihoods for Deformable Shape Models Medical Physics. 32: 2121-2122 |
| Broadhurst RE, Stough J, Pizer SM, et al. (2005) Histogram statistics of local model-relative image regions Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3753: 72-83 |
| Pizer SM, Jeong JY, Broadhurst RE, et al. (2005) Deep structure of images in populations via geometric models in populations Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3753: 49-59 |
| Chaney E, Pizer S, Joshi S, et al. (2004) Automatic male pelvis segmentation from CT images via statistically trained multi-object deformable m-rep models International Journal of Radiation Oncology*Biology*Physics. 60: S153-S154 |