05093nam 22008295 450 991048476430332120250626163553.03-319-41827-010.1007/978-3-319-41827-8(CKB)3710000000752766(DE-He213)978-3-319-41827-8(MiAaPQ)EBC6294771(MiAaPQ)EBC5595429(Au-PeEL)EBL5595429(OCoLC)953990391(PPN)194514994(EXLCZ)99371000000075276620160630d2016 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierComputational 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 /edited by Tomaž Vrtovec, Jianhua Yao, Ben Glocker, Tobias Klinder, Alejandro Frangi, Guoyan Zheng, Shuo Li1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (X, 159 p. 61 illus.) Image Processing, Computer Vision, Pattern Recognition, and Graphics,3004-9954 ;94023-319-41826-2 Includes bibliographical references and index.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. .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.Image Processing, Computer Vision, Pattern Recognition, and Graphics,3004-9954 ;9402Computer visionPattern recognition systemsComputer graphicsArtificial intelligenceComputer simulationAlgorithmsComputer VisionAutomated Pattern RecognitionComputer GraphicsArtificial IntelligenceComputer ModellingAlgorithmsComputer vision.Pattern recognition systems.Computer graphics.Artificial intelligence.Computer simulation.Algorithms.Computer Vision.Automated Pattern Recognition.Computer Graphics.Artificial Intelligence.Computer Modelling.Algorithms.616.730754Vrtovec Tomažedthttp://id.loc.gov/vocabulary/relators/edtYao Jianhuaedthttp://id.loc.gov/vocabulary/relators/edtGlocker Benedthttp://id.loc.gov/vocabulary/relators/edtKlinder Tobiasedthttp://id.loc.gov/vocabulary/relators/edtFrangi Alejandroedthttp://id.loc.gov/vocabulary/relators/edtZheng Guoyanedthttp://id.loc.gov/vocabulary/relators/edtLi Shuoedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910484764303321Computational Methods and Clinical Applications for Spine Imaging1959956UNINA01989nam 2200409z- 450 991055758290332120211118(CKB)5400000000043819(oapen)https://directory.doabooks.org/handle/20.500.12854/73227(oapen)doab73227(EXLCZ)99540000000004381920202111d2019 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierEnzymes Regulating the Homeostasis of Agonists and Antagonists of the N-Methyl D-Aspartate ReceptorsFrontiers Media SA20191 online resource (102 p.)2-88963-062-5 This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contactScience: general issuesbicsscd-serineenzyme drug targetEnzymes - metabolismL-serineNMDAR = N-methyl-d-aspartate receptorScience: general issuesMozzarelli Andreaedt957272Phillips Robert SedtMozzarelli AndreaothPhillips Robert SothBOOK9910557582903321Enzymes Regulating the Homeostasis of Agonists and Antagonists of the N-Methyl D-Aspartate Receptors3021147UNINA