LEADER 05670nam 22008895 450 001 9910349394803321 005 20200630145658.0 010 $a3-030-02628-0 024 7 $a10.1007/978-3-030-02628-8 035 $a(CKB)4100000007111111 035 $a(DE-He213)978-3-030-02628-8 035 $a(MiAaPQ)EBC6288171 035 $a(PPN)23146102X 035 $a(EXLCZ)994100000007111111 100 $a20181023d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aUnderstanding and Interpreting Machine Learning in Medical Image Computing Applications $eFirst International Workshops, MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings /$fedited by Danail Stoyanov, Zeike Taylor, Seyed Mostafa Kia, Ipek Oguz, Mauricio Reyes, Anne Martel, Lena Maier-Hein, Andre F. Marquand, Edouard Duchesnay, Tommy Löfstedt, Bennett Landman, M. Jorge Cardoso, Carlos A. Silva, Sergio Pereira, Raphael Meier 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XVI, 149 p. 60 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v11038 300 $aIncludes index. 311 $a3-030-02627-2 330 $aThis book constitutes the refereed joint proceedings of the First International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2018, the First International Workshop on Deep Learning Fails, DLF 2018, and the First International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 4 full MLCN papers, the 6 full DLF papers, and the 6 full iMIMIC papers included in this volume were carefully reviewed and selected. The MLCN contributions develop state-of-the-art machine learning methods such as spatio-temporal Gaussian process analysis, stochastic variational inference, and deep learning for applications in Alzheimer's disease diagnosis and multi-site neuroimaging data analysis; the DLF papers evaluate the strengths and weaknesses of DL and identify the main challenges in the current state of the art and future directions; the iMIMIC papers cover a large range of topics in the field of interpretability of machine learning in the context of medical image analysis. . 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v11038 606 $aOptical data processing 606 $aArtificial intelligence 606 $aMathematical logic 606 $aNumerical analysis 606 $aHealth informatics 606 $aBioinformatics 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aMathematical Logic and Formal Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/I16048 606 $aNumeric Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I1701X 606 $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23060 606 $aComputational Biology/Bioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23050 615 0$aOptical data processing. 615 0$aArtificial intelligence. 615 0$aMathematical logic. 615 0$aNumerical analysis. 615 0$aHealth informatics. 615 0$aBioinformatics. 615 14$aImage Processing and Computer Vision. 615 24$aArtificial Intelligence. 615 24$aMathematical Logic and Formal Languages. 615 24$aNumeric Computing. 615 24$aHealth Informatics. 615 24$aComputational Biology/Bioinformatics. 676 $a616.07540285 676 $a616.0757 702 $aStoyanov$b Danail$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTaylor$b Zeike$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKia$b Seyed Mostafa$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aOguz$b Ipek$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aReyes$b Mauricio$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMartel$b Anne$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMaier-Hein$b Lena$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMarquand$b Andre F$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDuchesnay$b Edouard$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLöfstedt$b Tommy$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLandman$b Bennett$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCardoso$b M. Jorge$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSilva$b Carlos A$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPereira$b Sergio$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMeier$b Raphael$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349394803321 996 $aUnderstanding and Interpreting Machine Learning in Medical Image Computing Applications$92025238 997 $aUNINA