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E-raamat: Computational Methods and Clinical Applications for Spine Imaging: Third International Workshop and Challenge, CSI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings

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Computational Methods and Clinical Applications for Spine Imaging: Third International Workshop and Challenge, CSI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, ProceedingsSuurem pilt
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This book constitutes the refereed proceedings of the Third International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2015, held in conjunction with MICCAI 2015, in Munich, Germany, in October 2015. The 9 workshop papers and 6 challenge contributions were carefully reviewed and selected for inclusion in this volume. The papers cover all major aspects related to spine imaging.
Automated Pedicle Screw Size and Trajectory Planning by Maximization of
Fastening Strength.- Automatic Modic Changes Classification in Spinal
MRI.- Patient Registration via Topologically Encoded Depth Projection Images
in Spine Surgery.- Automatic Localisation of Vertebrae in DXA Images Using
Random Forest Regression Voting.- Robust CT to US 3D-3D Registration by Using
Principal Component Analysis and Kalman Filtering.- Cortical Bone Thickness
Estimation in CT Images: A Model-Based Approach Without Profile
Fitting.- Multi-Atlas Segmentation with Joint Label Fusion of Osteoporotic
Vertebral Compression Fractures on CT.- Statistical Shape Model Construction
of Lumbar Vertebrae and Intervertebral Discs in Segmentation for Discectomy
Surgery Simulation.- Automatic Intervertebral Discs Localization and
Segmentation: A Vertebral Approach.- Segmentation of Intervertebral Discs in
3D MRI Data Using Multi-Atlas Based Registration.- Deformable Model-Based
Segmentation of Intervertebral Discs from MR Spine Images by Using the SSC
Descriptor.- 3D Intervertebral Disc Segmentation from MRI Using
Supervoxel-Based CRFs.- Automatic Intervertebral Disc Localization and
Segmentation in 3D MR Images Based on Regression Forests and Active
Contours.- Localization and Segmentation of 3D Intervertebral Discs from MR
Images via a Learning Based Method: A Validation Framework.- Automated
Intervertebral Disc Segmentation Using Probabilistic Shape Estimation and
Active Shape Models. 
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