LEADER 01456nam--2200433---450- 001 990000963790203316 005 20050614180930.0 010 $a3-11-015863-9 035 $a0096379 035 $aUSA010096379 035 $a(ALEPH)000096379USA01 035 $a0096379 100 $a20020218d1998----km-y0itay0103----ba 101 $ager 102 $aDE 105 $a||||||||001yy 200 1 $aSprache als Grenze in Luthers theologischer Hermeneutik und Wittgensteins Sprachphilosophie$eThomas Wabel 210 $aBerlin$cW. de Gruyter$d1998 215 $aXVII, 434 p$d24 cm 225 2 $aTheologische Bibliothek Töpelmann$v92 410 $12001$aTheologische Bibliothek Töpelmann$v92 606 0 $aLuther, Martin 606 0 $aWittgenstein, Ludwig 606 0 $aErmeneutica$xStoria$zSec. 16. 606 0 $aTeologia$xStoria$zSec. 16. 606 0 $aFilosofia del linguaggio$xStoria$zSec. 20. 676 $a230.014 700 1$aWABEL,$bThomas$0552688 801 0$aIT$bsalbc$gISBD 912 $a990000963790203316 951 $aII.2. Coll.64/ 92 (IV C COLL. 360/92)$b146314 LM$cIV C COLL. 959 $aBK 969 $aUMA 979 $aPATTY$b90$c20020218$lUSA01$h1040 979 $c20020403$lUSA01$h1739 979 $aPATRY$b90$c20040406$lUSA01$h1706 979 $aCOPAT4$b90$c20050614$lUSA01$h1809 996 $aSprache als Grenze in Luthers theologischer Hermeneutik und Wittgensteins Sprachphilosophie$9972703 997 $aUNISA LEADER 05943nam 22007095 450 001 9910551826103321 005 20251113175841.0 010 $a3-030-97281-X 024 7 $a10.1007/978-3-030-97281-3 035 $a(MiAaPQ)EBC6899784 035 $a(Au-PeEL)EBL6899784 035 $a(CKB)21348184400041 035 $a(PPN)261517988 035 $a(OCoLC)1306059222 035 $a(DE-He213)978-3-030-97281-3 035 $a(EXLCZ)9921348184400041 100 $a20220301d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBiomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis $eMICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27?October 1, 2021, Proceedings /$fedited by Marc Aubreville, David Zimmerer, Mattias Heinrich 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (201 pages) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v13166 311 08$aPrint version: Aubreville, Marc Biomedical Image Registration, Domain Generalisation and Out-Of-Distribution Analysis Cham : Springer International Publishing AG,c2022 9783030972806 320 $aIncludes bibliographical references and index. 327 $aPreface MIDOG 2021 -- Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmainGeneralization Challenge -- Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images -- Domain-Robust Mitotic Figure Detection with StyleGAN -- Two-step Domain Adaptation for Mitosis Cell Detection in Histopathology Images -- Robust Mitosis Detection Using a Cascade Mask-RCNN Approach With Domain-Specific Residual Cycle-GAN Data Augmentation -- Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge -- MitoDet: Simple and robust mitosis detection -- Multi-source Domain Adaptation Using Gradient Reversal Layer for Mitotic Cell Detection -- Rotation Invariance and Extensive Data Augmentation: a strategy for the Mitosis Domain Generalization (MIDOG) Challenge -- Detecting Mitosis against Domain Shift using a Fused Detector and Deep Ensemble Classi cation Model for MIDOG Challenge -- Domain Adaptive Cascade R-CNN for Mitosis DOmain Generalization (MIDOG) Challenge -- Reducing Domain Shift For Mitosis Detection Using Preprocessing Homogenizers -- Cascade RCNN for MIDOG Challenge -- Sk-Unet Model with Fourier Domain for Mitosis Detection -- Preface MOOD21 -- Self-Supervised 3D Out-of-Distribution Detection via Pseudoanomaly Generation -- Self-Supervised Medical Out-of-Distribution Using U-Net Vision Transformers -- SS3D: Unsupervised Out-of-Distribution Detection and Localization for Medical Volumes -- MetaDetector: Detecting Outliers by Learning to Learn from Self-supervision -- AutoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation -- Preface Learn2Reg 2021 -- Deformable Registration of Brain MR Images via a Hybrid Loss -- Fraunhofer MEVIS Image Registration Solutions for the Learn2Reg 2021 Challenge -- Unsupervised Volumetric Displacement Fields Using Cost Function Unrolling -- Conditional Deep Laplacian Pyramid Image Registration Network in Learn2Reg Challenge -- TheLearn2Reg 2021 MICCAI Grand Challenge (PIMed Team) -- Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021 -- Progressive and Coarse-to-fine Network for Medical Image Registration across Phases, Modalities and Patients. -Semi-supervised Multilevel Symmetric Image Registration Method for Magnetic Resonance Whole Brain Images. . 330 $aThis book constitutes three challenges that were held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, which was planned to take place in Strasbourg, France but changed to an online event due to the COVID-19 pandemic. The peer-reviewed 18 long and 9 short papers included in this volume stem from the following three biomedical image analysis challenges: Mitosis Domain Generalization Challenge (MIDOG 2021), Medical Out-of-Distribution Analysis Challenge (MOOD 2021), and Learn2Reg (L2R 2021). The challenges share the need for developing and fairly evaluating algorithms that increase accuracy, reproducibility and efficiency of automated image analysis in clinically relevant applications. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v13166 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aComputers 606 $aApplication software 606 $aMachine learning 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aComputing Milieux 606 $aComputer and Information Systems Applications 606 $aMachine Learning 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aComputers. 615 0$aApplication software. 615 0$aMachine learning. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputing Milieux. 615 24$aComputer and Information Systems Applications. 615 24$aMachine Learning. 676 $a616.07540285 676 $a616.07540285 702 $aAubreville$b Marc 702 $aZimmerer$b David 702 $aHeinrich$b Mattias P. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910551826103321 996 $aBiomedical image registration, domain generalisation and out-of-distribution analysis$92920285 997 $aUNINA