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Titlebook: Machine Learning in Medical Imaging; 6th International Wo Luping Zhou,Li Wang,Yinghuan Shi Conference proceedings 2015 Springer Internation

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Noel Codella,Junjie Cai,Mani Abedini,Rahil Garnavi,Alan Halpern,John R. Smith
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Julian G. Zilly,Joachim M. Buhmann,Dwarikanath Mahapatra
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Soft-Split Random Forest for Anatomy Labeling,eft . right child nodes with their certain probabilities, which can effectively reduce influence of the wrong node assignment on the prediction accuracy. As a result, each testing sample can arrive at multiple leaf nodes, and their respective results can be fused to obtain the final prediction accor
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Craniomaxillofacial Deformity Correction via Sparse Representation in Coherent Space,ta distributions of shapes of midfaces and jaws. To address this limitation, we propose to estimate the patient-specific jaw reference model in a coherent space. Specifically, we first employ canonical correlation analysis (CCA) to map the midface and jaw landmarks of training normal subjects into a
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