LEADER 03616nam 22006975 450 001 996466192303316 005 20200630023751.0 010 $a3-030-00129-6 024 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$b[electronic resource] $eFirst International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings /$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 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v11074 311 $a3-030-00128-8 320 $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 ;$v11074 606 $aArtificial intelligence 606 $aOptical data processing 606 $aComputer communication systems 606 $aLogic design 606 $aHealth informatics 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aLogic Design$3https://scigraph.springernature.com/ontologies/product-market-codes/I12050 606 $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23060 615 0$aArtificial intelligence. 615 0$aOptical data processing. 615 0$aComputer communication systems. 615 0$aLogic design. 615 0$aHealth informatics. 615 14$aArtificial Intelligence. 615 24$aImage Processing and Computer Vision. 615 24$aComputer Communication Networks. 615 24$aLogic Design. 615 24$aHealth Informatics. 676 $a616.07540285 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 $a996466192303316 996 $aMachine Learning for Medical Image Reconstruction$91912511 997 $aUNISA