LEADER 02569nam 2200625Ia 450 001 9910458432203321 005 20200520144314.0 010 $a1-280-53494-X 010 $a0-19-535796-5 035 $a(CKB)1000000000403178 035 $a(EBL)431296 035 $a(OCoLC)252607001 035 $a(SSID)ssj0000116964 035 $a(PQKBManifestationID)11145154 035 $a(PQKBTitleCode)TC0000116964 035 $a(PQKBWorkID)10058561 035 $a(PQKB)10270538 035 $a(MiAaPQ)EBC431296 035 $a(Au-PeEL)EBL431296 035 $a(CaPaEBR)ebr10278802 035 $a(CaONFJC)MIL53494 035 $a(EXLCZ)991000000000403178 100 $a19950928d1995 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCalvin in context$b[electronic resource] /$fDavid Steinmetz 210 $aNew York $cOxford University Press$dc1995 215 $a1 online resource (254 p.) 300 $aDescription based upon print version of record. 311 $a0-19-802520-3 311 $a0-19-509164-7 320 $aIncludes bibliographical references (p. 213-221) and indexes. 327 $aContents; Abbreviations; Translations; 1. Introduction to Calvin; 2. Calvin and the Natural Knowledge of God; 3. Calvin and the Absolute Power of God; 4. Calvin and the First Commandment; 5. Calvin and Abraham; 6. Calvin and Tamar; 7. Calvin and Isaiah; 8. Calvin and the Divided Self of Romans 7; 9. Calvin and Patristic Exegesis; 10. Calvin among the Thomists; 11. Calvin and the Baptism of John; 12. Calvin and His Lutheran Critics; 13. Calvin and the Monastic Ideal; 14. Calvin and the Civil Magistrate; 15. Concluding Observations; Selected Bibliography; General Index 327 $aScriptural Citations Index 330 $aThis accessible general introduction to Calvin's thought uses a wide range of primary sources to place Calvin in the context of the theological and exegetical traditions that influenced him. 606 $aCalvinism$xHistory 606 $aReformation 606 $aReformed Church$xDoctrines$xHistory$y16th century 608 $aElectronic books. 615 0$aCalvinism$xHistory. 615 0$aReformation. 615 0$aReformed Church$xDoctrines$xHistory 676 $a230/.42/092 676 $a284.2092 700 $aSteinmetz$b David Curtis$0205786 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910458432203321 996 $aCalvin in context$92198671 997 $aUNINA LEADER 05531nam 22007215 450 001 996466310703316 005 20210130071607.0 010 $a3-030-33850-9 024 7 $a10.1007/978-3-030-33850-3 035 $a(CKB)4100000009678320 035 $a(MiAaPQ)EBC5968218 035 $a(DE-He213)978-3-030-33850-3 035 $a(PPN)253256879 035 $a(EXLCZ)994100000009678320 100 $a20191024d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInterpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support$b[electronic resource] $eSecond International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings /$fedited by Kenji Suzuki, Mauricio Reyes, Tanveer Syeda-Mahmood, Ender Konukoglu, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (xvi, 93 pages) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v11797 300 $aIncludes index. 311 $a3-030-33849-5 327 $aSecond International Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC 2019) -- Testing the robustness of attribution methods for convolutional neural networks in MRI-based Alzheimer's disease classification -- UBS: A Dimension-Agnostic Metric for Concept Vector Interpretability Applied to Radiomics -- Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis -- Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection -- Guideline-based Additive Explanation for Computer-Aided Diagnosis of Lung Nodules -- Deep neural network or dermatologist? -- Towards Interpretability of Segmentation Networks by analyzing DeepDreams -- 9th International Workshop on Multimodal Learning for Clinical Decision Support (ML-CDS 2019) -- Towards Automatic Diagnosis from Multi-modal Medical Data -- Deep Learning based Multi-Modal Registration for Retinal Imaging -- Automated Enriched Medical Concept Generation for Chest X-ray Images. 330 $aThis book constitutes the refereed joint proceedings of the Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 7 full papers presented at iMIMIC 2019 and the 3 full papers presented at ML-CDS 2019 were carefully reviewed and selected from 10 submissions to iMIMIC and numerous submissions to ML-CDS. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. 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