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BAMBI 2014: Cambridge, MA, USA
- Manuel Jorge Cardoso, Ivor J. A. Simpson, Tal Arbel, Doina Precup, Annemie Ribbens:
Bayesian and grAphical Models for Biomedical Imaging - First International Workshop, BAMBI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8677, Springer 2014, ISBN 978-3-319-12288-5 - Christian Thode Larsen, Juan Eugenio Iglesias, Koen Van Leemput
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N3 Bias Field Correction Explained as a Bayesian Modeling Method. 1-12 - Chuyang Ye, Aaron Carass, Emi Z. Murano, Maureen L. Stone, Jerry L. Prince:
A Bayesian Approach to Distinguishing Interdigitated Muscles in the Tongue from Limited Diffusion Weighted Imaging. 13-24 - Florian Jug
Optimal Joint Segmentation and Tracking of Escherichia Coli in the Mother Machine. 25-36 - Aina Frau-Pascual, Thomas Vincent, Jennifer Sloboda, Philippe Ciuciu, Florence Forbes:
Physiologically Informed Bayesian Analysis of ASL fMRI Data. 37-48 - Neda Sepasian, Martijn van de Giessen, Iwan Dobbe, Geert J. Streekstra:
Bone Reposition Planning for Corrective Surgery Using Statistical Shape Model: Assessment of Differential Geometrical Features. 49-60 - Stefano Pedemonte, Ciprian Catana
An Inference Language for Imaging. 61-72 - Monica Enescu, Mattias P. Heinrich
An MRF-Based Discrete Optimization Framework for Combined DCE-MRI Motion Correction and Pharmacokinetic Parameter Estimation. 73-84 - Neil P. Oxtoby, Alexandra L. Young
Learning Imaging Biomarker Trajectories from Noisy Alzheimer's Disease Data Using a Bayesian Multilevel Model. 85-94 - Maxime Taquet, Jurriaan M. Peters, Simon K. Warfield:
Four Neuroimaging Questions that P-Values Cannot Answer (and Bayesian Analysis Can). 95-106 - Kayhan N. Batmanghelich, Michael H. Cho, Raúl San José Estépar
Spherical Topic Models for Imaging Phenotype Discovery in Genetic Studies. 107-117 - Colm Elliott, Douglas L. Arnold, D. Louis Collins
A Generative Model for Automatic Detection of Resolving Multiple Sclerosis Lesions. 118-129
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