LEADER 00663nam0-22002291i-450- 001 990002737040403321 035 $a000273704 035 $aFED01000273704 035 $a(Aleph)000273704FED01 035 $a000273704 100 $a20000920d1982----km-y0itay50------ba 101 0 $aENG 200 1 $aIllustrations of foreign currency translation A survey of the application of EASB Stat ement n ?52.$fby LORENSEN L. 210 $aNew York$cAIPCA$d1982. 700 1$aLorensen,$bLeonard$0113908 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990002737040403321 952 $a7-2-39-RA$bR 226$fECA 959 $aECA 997 $aUNINA DB $aING01 LEADER 01567nam0 2200385 i 450 001 SUN0124179 005 20200414091218.498 010 $d0.00 017 70$2N$a9783319604213 100 $a20191009d2017 |0engc50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $a*Long Afterglow Phosphorescent Materials$fSuli Wu ... [et al.] 205 $aCham : Springer, 2017 210 $aVII$d155 p.$cill. ; 24 cm 215 $aPubblicazione in formato elettronico 410 1$1001SUN0123245$12001 $a*SpringerBriefs in Materials$1210 $aCham$cSpringer. 620 $aCH$dCham$3SUNL001889 676 $a621.366$cFisica applicata. 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Ottica applicata$v22 676 $a535.2$cOttica fisica$v22 676 $a610.28$cIngegneria biomedica$v22 676 $a541.37$cElettrochimica e magnetochimica$v22 676 $a620.1$cScienza dei materiali$v22 676 $a621.3126$cModificazione e accumulazione di energia$v22 676 $a621.365$cFotonica$v22 702 1$aWu$b, Suli$3SUNV095654 712 $aSpringer$3SUNV000178$4650 801 $aIT$bSOL$c20200921$gRICA 856 4 $uhttps://link.springer.com/book/10.1007%2F978-3-319-60421-3#toc 912 $aSUN0124179 950 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHE$d17CONS e-book 2111 $e17BIB2111 262 20191009 996 $aLong Afterglow Phosphorescent Materials$91562571 997 $aUNICAMPANIA LEADER 05197nam 22008055 450 001 9910483937503321 005 20251226195627.0 010 $a3-319-47118-X 024 7 $a10.1007/978-3-319-47118-1 035 $a(CKB)3710000000893639 035 $a(DE-He213)978-3-319-47118-1 035 $a(MiAaPQ)EBC6294798 035 $a(MiAaPQ)EBC5590658 035 $a(Au-PeEL)EBL5590658 035 $a(OCoLC)960694766 035 $a(PPN)196323207 035 $a(EXLCZ)993710000000893639 100 $a20160921d2016 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPatch-Based Techniques in Medical Imaging $eSecond International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings /$fedited by Guorong Wu, Pierrick Coupé, Yiqiang Zhan, Brent C. Munsell, Daniel Rueckert 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (X, 141 p. 45 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v9993 311 08$a3-319-47117-1 320 $aIncludes bibliographical references and index. 327 $aAutomatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning -- Construction of Neonatal Diffusion Atlases via Spatio-Angular Consistency -- Selective Labeling: identifying representative sub-volumes for interactive segmentation -- Robust and Accurate Appearance Models based on Joint Dictionary Learning: Data from the Osteoarthritis Initiative -- Consistent multi-atlas hippocampus segmentation for longitudinal MR brain images with temporal sparse representation -- Sparse-Based Morphometry: Principle and Application to Alzheimer?s Disease -- Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning -- Patch-Based Discrete Registration of Clinical Brain Images -- Non-local MRI Library-based Super-resolution: Application to Hippocampus Subfield Segmentation -- Patch-based DTI grading: Application to Alzheimer's disease classification -- Hierarchical Multi-Atlas Segmentation using Label-SpecificEmbeddings, Target-Specific Templates and Patch Refinement -- HIST: HyperIntensity Segmentation Tool -- Supervoxel-Based Hierarchical Markov Random Field Framework for Multi-Atlas Segmentation -- CapAIBL: Automated reporting of cortical PET quantification without need of MRI on brain surface using a patch-based method -- High resolution hippocampus subfield segmentation using multispectral multi-atlas patch-based label fusion -- Identification of water and fat images in Dixon MRI using aggregated patch-based convolutional neural networks -- Estimating Lung Respiratory Motion Using Combined Global and Local Statistical Models. 330 $aThis book constitutes the refereed proceedings of the Second International Workshop on Patch-Based Techniques in Medical Images, Patch-MI 2016, which was held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016. The 17 regular papers presented in this volume were carefully reviewed and selected from 25 submissions. The main aim of the Patch-MI 2016 workshop is to promote methodological advances within the medical imaging field, with various applications in image segmentation, image denoising, image super-resolution, computer-aided diagnosis, image registration, abnormality detection, and image synthesis. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v9993 606 $aComputer vision 606 $aPattern recognition systems 606 $aComputer graphics 606 $aArtificial intelligence 606 $aComputer simulation 606 $aAlgorithms 606 $aComputer Vision 606 $aAutomated Pattern Recognition 606 $aComputer Graphics 606 $aArtificial Intelligence 606 $aComputer Modelling 606 $aAlgorithms 615 0$aComputer vision. 615 0$aPattern recognition systems. 615 0$aComputer graphics. 615 0$aArtificial intelligence. 615 0$aComputer simulation. 615 0$aAlgorithms. 615 14$aComputer Vision. 615 24$aAutomated Pattern Recognition. 615 24$aComputer Graphics. 615 24$aArtificial Intelligence. 615 24$aComputer Modelling. 615 24$aAlgorithms. 676 $a004 702 $aWu$b Guorong$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCoupe?$b Pierrick$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhan$b Yiqiang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMunsell$b Brent$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRueckert$b Daniel$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483937503321 996 $aPatch-Based Techniques in Medical Imaging$91918861 997 $aUNINA