This book constitutes the refereed proceedings of the 20th International Conference on Information Processing in Medical Imaging, IPMI 2007, held in Kerkrade, The Netherlands, in July 2007. It covers segmentation, cardiovascular imaging, detection and labeling, diffusion tensor imaging, registration, image reconstruction, functional brain imaging, as well as shape models and registration.
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human brain mapping, digital homeomorphisms, optical flow computation, ultrasonic images, statistical training, brain white matter, left cerebellum, active shape model, random effects, tobogganing algorithm, alpha mutual information, toboggan cluster, polyaffine transformation, tensor quantification, local rectangle features, parametric modeling approach based, parametric regularisation, diffeomorphic image registration, multiple seed regions, average ground truth distance, modulo structure, finite accuracy data, groupwise correspondence, symmetric diff, medial integrals Key Phrases - Capitalized Phrases (CAPs): (learn more)
Medical Imaging, Springer-Verlag Berlin Heidelberg, New York, Image Processing, Computer Vision, Mean Field, Monte Carlo, International Symposium, Chapel Hill, Pattern Recognition, Cambridge University Press, Sparse Information Model, International Conference, Localized Components Analysis, Academic Press, Segmentation of Sub-cortical Structures, Maximum Likelihood Estimators, San Diego, High-Quality Consistent Meshing of Multi-label Datasets, Bayesian Tracking of Elongated Structures, Estimating the Mesorectal Fascia, Automatic Cortical Segmentation, Quantifying Metabolic Asymmetry Modulo Structure, Liver Segmentation Using Sparse, Prior Models Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
human brain mapping, digital homeomorphisms, optical flow computation, ultrasonic images, statistical training, brain white matter, left cerebellum, active shape model, random effects, tobogganing algorithm, alpha mutual information, toboggan cluster, polyaffine transformation, tensor quantification, local rectangle features, parametric modeling approach based, parametric regularisation, diffeomorphic image registration, multiple seed regions, average ground truth distance, modulo structure, finite accuracy data, groupwise correspondence, symmetric diff, medial integrals Key Phrases - Capitalized Phrases (CAPs): (learn more)
Medical Imaging, Springer-Verlag Berlin Heidelberg, New York, Image Processing, Computer Vision, Mean Field, Monte Carlo, International Symposium, Chapel Hill, Pattern Recognition, Cambridge University Press, Sparse Information Model, International Conference, Localized Components Analysis, Academic Press, Segmentation of Sub-cortical Structures, Maximum Likelihood Estimators, San Diego, High-Quality Consistent Meshing of Multi-label Datasets, Bayesian Tracking of Elongated Structures, Estimating the Mesorectal Fascia, Automatic Cortical Segmentation, Quantifying Metabolic Asymmetry Modulo Structure, Liver Segmentation Using Sparse, Prior Models Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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