LEADER 01235nam 2200373Ia 450 001 996384799403316 005 20221107143336.0 035 $a(CKB)4940000000073261 035 $a(EEBO)2240866783 035 $a(OCoLC)11510973 035 $a(EXLCZ)994940000000073261 100 $a19841219d1683 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 14$aThe accomplished clerk, or, Accurate penman$b[electronic resource] $ea new copy book containing variety of usefull examples showing ye most natural and clerk like way of writing all the usual hands of England /$fby John Ayres 210 $aLondon $cSould by ye author ...$d[1683?] 215 $a[1], 27 p 300 $aDate suggested by Wing. 300 $aContains engraved portrait frontispiece. 300 $aReproduction of original in the Harvard University Library. 330 $aeebo-0062 606 $aCopybooks 606 $aAlphabets 615 0$aCopybooks. 615 0$aAlphabets. 700 $aAyres$b John$ffl. 1680-1700.$0793382 801 0$bEAJ 801 1$bEAJ 801 2$bUMI 801 2$bWaOLN 906 $aBOOK 912 $a996384799403316 996 $aThe accomplished clerk, or, Accurate penman$92341379 997 $aUNISA LEADER 03231nam 22007335 450 001 9910349407103321 005 20251225203803.0 010 $a9783030001292 010 $a3030001296 024 7 $a10.1007/978-3-030-00129-2 035 $a(CKB)4100000006519918 035 $a(DE-He213)978-3-030-00129-2 035 $a(MiAaPQ)EBC6298948 035 $a(PPN)230538525 035 $a(EXLCZ)994100000006519918 100 $a20180911d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning for Medical Image Reconstruction $eFirst International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings /$fedited by Florian Knoll, Andreas Maier, Daniel Rueckert 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (X, 158 p. 67 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v11074 311 08$a9783030001285 311 08$a3030001288 320 $aIncludes bibliographical references and index. 327 $aDeep learning for magnetic resonance imaging -- Deep learning for computed tomography -- Deep learning for general image reconstruction. 330 $aThis book constitutes the refereed proceedings of the First International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 17 full papers presented were carefully reviewed and selected from 21 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography, and deep learning for general image reconstruction. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v11074 606 $aArtificial intelligence 606 $aComputer vision 606 $aComputer networks 606 $aLogic design 606 $aMedical informatics 606 $aArtificial Intelligence 606 $aComputer Vision 606 $aComputer Communication Networks 606 $aLogic Design 606 $aHealth Informatics 615 0$aArtificial intelligence. 615 0$aComputer vision. 615 0$aComputer networks. 615 0$aLogic design. 615 0$aMedical informatics. 615 14$aArtificial Intelligence. 615 24$aComputer Vision. 615 24$aComputer Communication Networks. 615 24$aLogic Design. 615 24$aHealth Informatics. 676 $a616.07540285 676 $a006.31 702 $aKnoll$b Florian$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMaier$b Andreas$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 $a9910349407103321 996 $aMachine Learning for Medical Image Reconstruction$91912511 997 $aUNINA