05670nam 22008895 450 991034939480332120200630145658.03-030-02628-010.1007/978-3-030-02628-8(CKB)4100000007111111(DE-He213)978-3-030-02628-8(MiAaPQ)EBC6288171(PPN)23146102X(EXLCZ)99410000000711111120181023d2018 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierUnderstanding and Interpreting Machine Learning in Medical Image Computing Applications First International Workshops, MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings /edited 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 Meier1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (XVI, 149 p. 60 illus.) Image Processing, Computer Vision, Pattern Recognition, and Graphics ;11038Includes index.3-030-02627-2 This 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. .Image Processing, Computer Vision, Pattern Recognition, and Graphics ;11038Optical data processingArtificial intelligenceMathematical logicNumerical analysisHealth informaticsBioinformaticsImage Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Mathematical Logic and Formal Languageshttps://scigraph.springernature.com/ontologies/product-market-codes/I16048Numeric Computinghttps://scigraph.springernature.com/ontologies/product-market-codes/I1701XHealth Informaticshttps://scigraph.springernature.com/ontologies/product-market-codes/I23060Computational Biology/Bioinformaticshttps://scigraph.springernature.com/ontologies/product-market-codes/I23050Optical data processing.Artificial intelligence.Mathematical logic.Numerical analysis.Health informatics.Bioinformatics.Image Processing and Computer Vision.Artificial Intelligence.Mathematical Logic and Formal Languages.Numeric Computing.Health Informatics.Computational Biology/Bioinformatics.616.07540285616.0757Stoyanov Danailedthttp://id.loc.gov/vocabulary/relators/edtTaylor Zeikeedthttp://id.loc.gov/vocabulary/relators/edtKia Seyed Mostafaedthttp://id.loc.gov/vocabulary/relators/edtOguz Ipekedthttp://id.loc.gov/vocabulary/relators/edtReyes Mauricioedthttp://id.loc.gov/vocabulary/relators/edtMartel Anneedthttp://id.loc.gov/vocabulary/relators/edtMaier-Hein Lenaedthttp://id.loc.gov/vocabulary/relators/edtMarquand Andre Fedthttp://id.loc.gov/vocabulary/relators/edtDuchesnay Edouardedthttp://id.loc.gov/vocabulary/relators/edtLöfstedt Tommyedthttp://id.loc.gov/vocabulary/relators/edtLandman Bennettedthttp://id.loc.gov/vocabulary/relators/edtCardoso M. Jorgeedthttp://id.loc.gov/vocabulary/relators/edtSilva Carlos Aedthttp://id.loc.gov/vocabulary/relators/edtPereira Sergioedthttp://id.loc.gov/vocabulary/relators/edtMeier Raphaeledthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910349394803321Understanding and Interpreting Machine Learning in Medical Image Computing Applications2025238UNINA