Raphael Sznitman, Anasuya Basu, Rogerio Richa, Jim Handa,'s Medical Image Computing and Computer-Assisted Intervention – PDF

By Raphael Sznitman, Anasuya Basu, Rogerio Richa, Jim Handa, Peter Gehlbach (auth.), Gabor Fichtinger, Anne Martel, Terry Peters (eds.)

The three-volume set LNCS 6891, 6892 and 6893 constitutes the refereed lawsuits of the 14th overseas convention on scientific snapshot Computing and Computer-Assisted Intervention, MICCAI 2011, held in Toronto, Canada, in September 2011. in keeping with rigorous peer stories, this system committee conscientiously chosen 251 revised papers from 819 submissions for presentation in 3 volumes. the 1st quantity contains 86 papers equipped in topical sections on robotics, localization and monitoring and visualization, making plans and picture suggestions, actual modeling and simulation, movement modeling and reimbursement, and segmentation and monitoring in organic images.

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Extra info for Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011: 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part I

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Adrien Depeursinge, Antonio Foncubierta–Rodriguez, Dimitri Van de Ville, and Henning M¨ uller 183 191 199 207 215 223 231 Computer Aided Diagnosis and Machine Learning III Fast Multiple Organ Detection and Localization in Whole-Body MR Dixon Sequences . . . . . . . . . . . . . . . . . . . . . . . . . Olivier Pauly, Ben Glocker, Antonio Criminisi, Diana Mateus, Axel Martinez M¨ oller, Stephan Nekolla, and Nassir Navab 239 XLIV Table of Contents – Part III ManiSMC: A New Method Using Manifold Modeling and Sequential Monte Carlo Sampler for Boosting Navigated Bronchoscopy .

2 ) are learned from separate training images representative of test sequences. We now specify the query set, X . In total, we form six queries. That is for each 1 6 1 , . . , Xi,j }. We let Xi,j count the proportion of node in Λ, we have Xi,j = {Xi,j pixels deemed tool like, by using a color model learned from data, over a region determined by the interval of y1 in Λi,j . An example is shown in Fig. 2(a)-(b), Unified Detection and Tracking in Retinal Microsurgery 5 Fig. 3. Active Testing Iterations.

Julien Pontabry and Fran¸cois Rousseau 209 Bessel Fourier Orientation Reconstruction: An Analytical EAP Reconstruction Using Multiple Shell Acquisitions in Diffusion MRI . . . Ameer Pasha Hosseinbor, Moo K. Chung, Yu-Chien Wu, and Andrew L. Alexander Parallel MRI Noise Correction: An Extension of the LMMSE to Non Central χ Distributions . . . . . . . . . . . . . . . . . . . . . . V´eronique Brion, Cyril Poupon, Olivier Riff, Santiago Aja-Fern´ andez, Antonio Trist´ an-Vega, Jean-Fran¸cois Mangin, Denis Le Bihan, and Fabrice Poupon HARDI Based Pattern Classifiers for the Identification of White Matter Pathologies .

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