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Titlebook: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013; 16th International C Kensaku Mori,Ichiro Sakuma,Nassir Navab Con

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Estimating Constrained Multi-fiber Diffusion MR Volumes by Orientation Clusteringis paper, we present a method for estimating models for such operations by clustering fiber orientations. Our approach is applied to ball-and-stick diffusion models, which include an isotropic tensor and multiple sticks encoding fiber volume and orientation. We consider operations which can be gener
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Detecting Epileptic Regions Based on Global Brain Connectivity Patternstion. Our model assumes that the global functional characteristics of these differences are shared across patients, but it allows for the epileptic regions to vary between individuals. We evaluate the detection performance against intracranial EEG observations and compare our approach with two basel
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Tissue-Specific Sparse Deconvolution for Low-Dose CT Perfusion extracting the complementary information from the high-dose perfusion maps to restore the low-dose using a joint spatio-temporal model. However the low-contrast tissue classes where infarct core and ischemic penumbra usually occur in cerebral perfusion CT tend to be over-smoothed, leading to loss o
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ToF Meets RGB: Novel Multi-Sensor Super-Resolution for Hybrid 3-D Endoscopylows to acquire range data in real-time and has been engineered into a 3-D endoscope in combination with an RGB sensor (640×480 px) as a hybrid imaging system, recently. However, the ToF sensor suffers from a low spatial resolution (64×48 px) and a poor signal-to-noise ratio. In this paper, we propo
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Attenuation Correction Synthesis for Hybrid PET-MR Scannerss value in the preclinical and clinical fields. In PET/CT hybrid acquisition systems, CT-derived attenuation maps enable a more accurate PET reconstruction. However, CT provides only very limited soft-tissue contrast and exposes the patient to an additional radiation dose. In comparison, Magnetic Re
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