Detection and Measurement of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree
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Gustavo Carneiro | Dorin Comaniciu | Bogdan Georgescu | Sara Good | D. Comaniciu | G. Carneiro | B. Georgescu | Sara Good
[1] Juan Ruiz-Alzola,et al. Comments on: A methodology for evaluation of boundary detection algorithms on medical images , 2004, IEEE Trans. Medical Imaging.
[2] V Chalana,et al. Automatic fetal head measurements from sonographic images. , 1996, Academic radiology.
[3] B. Schiele,et al. Combined Object Categorization and Segmentation With an Implicit Shape Model , 2004 .
[4] Zhuowen Tu,et al. Probabilistic boosting-tree: learning discriminative models for classification, recognition, and clustering , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[5] Olivier D. Faugeras,et al. Statistical shape influence in geodesic active contours , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[6] S D Pathak,et al. Interactive automatic fetal head measurements from ultrasound images using multimedia computer technology. , 1997, Ultrasound in medicine & biology.
[7] Rachid Deriche,et al. Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation , 2002, International Journal of Computer Vision.
[8] Dorin Comaniciu,et al. Database-guided segmentation of anatomical structures with complex appearance , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[9] Andrew Zisserman,et al. OBJ CUT , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[10] Gustavo Carneiro,et al. Automatic Fetal Measurements in Ultrasound Using Constrained Probabilistic Boosting Tree , 2007, MICCAI.
[11] Yoav Freund,et al. Boosting a weak learning algorithm by majority , 1995, COLT '90.
[12] George K. Matsopoulos,et al. Use of morphological image processing techniques for the measurement of a fetal head from ultrasound images , 1994, Pattern Recognit..
[13] Thomas Serre,et al. Robust Object Recognition with Cortex-Like Mechanisms , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] James S. Duncan,et al. Deformable boundary finding in medical images by integrating gradient and region information , 1996, IEEE Trans. Medical Imaging.
[15] Richard S. Zemel,et al. Topological map learning from outdoor image sequences , 2006, J. Field Robotics.
[16] Dimitris N. Metaxas,et al. Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions , 2003, IEEE Transactions on Medical Imaging.
[17] Paul A. Viola,et al. Robust Real-time Object Detection , 2001 .
[18] Tomaso A. Poggio,et al. Pedestrian detection using wavelet templates , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[19] P. Schluter,et al. Ultrasonic fetal size measurements in Brisbane, Australia. , 2004, Australasian radiology.
[20] Chandra Kambhamettu,et al. A Coarse-to-Fine Deformable Contour Optimization Framework , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[21] Timothy F. Cootes,et al. Facial feature detection using AdaBoost with shape constraints , 2003, BMVC.
[22] Kaleem Siddiqi,et al. Area and length minimizing flows for shape segmentation , 1998, IEEE Trans. Image Process..
[23] A. Kurjak,et al. Current perspectives on the fetus as a patient , 1997 .
[24] J. Alison Noble,et al. A shape-space-based approach to tracking myocardial borders and quantifying regional left-ventricular function applied in echocardiography , 2002, IEEE Transactions on Medical Imaging.
[25] Jerry L Prince,et al. Current methods in medical image segmentation. , 2000, Annual review of biomedical engineering.
[26] P Jeanty,et al. Automatic measurements of fetal long bones. A feasibility study. , 1991, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.
[27] N. Paragios. A level set approach for shape-driven segmentation and tracking of the left ventricle , 2003, IEEE Transactions on Medical Imaging.
[28] Alan L. Yuille,et al. Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[29] Michael Brady,et al. Segmentation of ultrasound B-mode images with intensity inhomogeneity correction , 2002, IEEE Transactions on Medical Imaging.
[30] P. Moral,et al. Sequential Monte Carlo samplers , 2002, cond-mat/0212648.
[31] R. Schapire. The Strength of Weak Learnability , 1990, Machine Learning.
[32] Dorin Comaniciu,et al. Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[33] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.
[34] C.W. Hanna,et al. Automated measurements in obstetric ultrasound images , 1997, Proceedings of International Conference on Image Processing.
[35] Yongmin Kim,et al. A methodology for evaluation of boundary detection algorithms on medical images , 1997, IEEE Transactions on Medical Imaging.
[36] Mário A. T. Figueiredo,et al. Segmentation of fetal ultrasound images. , 2005, Ultrasound in medicine & biology.
[37] T. Poggio,et al. Hierarchical models of object recognition in cortex , 1999, Nature Neuroscience.
[38] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[39] Timothy F. Cootes,et al. Active Appearance Models , 1998, ECCV.
[40] Anat Levin,et al. Learning to Combine Bottom-Up and Top-Down Segmentation , 2006, International Journal of Computer Vision.
[41] Shimon Ullman,et al. Class-Specific, Top-Down Segmentation , 2002, ECCV.
[42] Yongmin Kim,et al. Edge-guided boundary delineation in prostate ultrasound images , 2000, IEEE Transactions on Medical Imaging.