Titlebook: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2010; 13th International C Tianzi Jiang,Nassir Navab,Max A. Viergever

Culpable

哎呦

champaign

scrutiny

humectant

Vulnerary

Automated Sulci Identification via Intrinsic Modeling of Cortical Anatomyon and intrinsic surface mapping, our system encodes anatomical priors in manually traced sulcal lines with an intrinsic atlas of major sulci. This allows the computation of both individual and joint likelihood of sulcal lines for their automatic identification on cortical surfaces. By modeling sulc

Vital-Signs

In Vivo MRI Assessment of Knee Cartilage in the Medial Meniscal Tear Model of Osteoarthritis in Ratsatistical strategy was used to guide the selection of a region of interest (ROI) from the images obtained from a pilot study. We hypothesize that this strategy can be used to localize a region of cartilage most vulnerable to MMT-induced damage. In order to test this hypothesis, a longitudinal study

MOT

確認(rèn)

Non-parametric Iterative Model Constraint Graph min-cut for Automatic Kidney Segmentationd as a maximum a-posteriori estimation of a model-driven Markov random field. A non-parametric hybrid shape and intensity model is treated as a latent variable in the energy functional. The latent model and labeling map that minimize the energy functional are then simultaneously computed with an exp

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