@article {Lee2011,
	title = {REDMAPS: Reduced-Dimensionality Matching for Prostate Brachytherapy Seed Reconstruction},
	journal = {IEEE Transactions on Medical Imaging},
	volume = {30},
	year = {2011},
	month = {01/2011},
	pages = {38-51},
	doi = {10.1109/TMI.2010.2059709},
	author = {Junghoon Lee and Christian Labat and Ameet K. Jain and Danny Y Song and E. Clif Burdette and Gabor Fichtinger and Jerry L. Prince}
}
@conference {Lee2009,
	title = {Optimal Matching for Prostate Brachytherapy Seed Localization with Dimension Reduction},
	booktitle = {Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
	volume = {5761},
	year = {2009},
	pages = {59-66},
	publisher = {Springer},
	organization = {Springer},
	address = {London, UK},
	isbn = {978-3-642-04267-6},
	author = {Junghoon Lee and Christian Labat and Ameet K. Jain and Danny Y Song and Gabor Fichtinger and Jerry L. Prince}
}
@conference {Lee2009b,
	title = {Reduced-Dimensionality Matching For 3-D Reconstruction Of Prostate Brachytherapy Implants From Incomplete Data},
	booktitle = {IEEE International Symposium on Biomedical Imaging},
	year = {2009},
	note = {IEEE International Symposium on Biomedical Imaging, 2009 (accepted 04/07/2009)},
	author = {Junghoon Lee and Christian Labat and Ameet K. Jain and Gabor Fichtinger and Jerry L. Prince}
}
@article {Labat2007,
	title = {Toward optimal matching for 3D reconstruction of brachytherapy seeds},
	journal = {Medical image computing and computer-assisted intervention (MICCAI)},
	volume = {10},
	number = {Pt 2},
	year = {2007},
	pages = {701{\textendash}709},
	publisher = {Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA},
	abstract = {<p>X-ray C-arm fluoroscopy is a natural choice for intra-operative seed localization in prostate brachytherapy Resolving the correspondence of seeds in the projection images can be modeled as an assignment problem that is NP-hard Our approach rests on the practical observation that the optimal solution has almost zero cost if the pose of the C-arm is known accurately This allowed us to to derive an equivalent problem of reduced dimensionality that, with linear programming, can be solved efficiently in polynomial time Additionally, our method demonstrates significantly increased robustness to C-arm pose errors when compared to the prior art Because under actual clinical circumstances it is exceedingly difficult to track the C-arm, easing on this constraint has additional practical utility</p>
},
	keywords = {Algorithms, Artificial Intelligence, Automated, Brachytherapy, Computer-Assisted, Image Enhancement, Image Interpretation, Imaging, instrumentation/methods, methods, Pattern Recognition, Phantoms, Prosthesis Implantation, Radiotherapy, Reproducibility of Results, Sensitivity, Specificity, Three-Dimensional, Tomography, X-Ray Computed},
	author = {Christian Labat and Ameet K. Jain and Gabor Fichtinger and Jerry L. Prince}
}
