LEADER 01313nam0 22003131i 450 001 UON00342894 005 20231205104305.459 010 $a34-420-9214-0 100 $a20091104d1979 |0itac50 ba 101 $ager 102 $aDE 105 $a|||| 1|||| 200 1 $aGesammelte Werke. 8.: Die tückische Strasse$eneunzehn Kriminalgeschichten$fWalter Serner$gherausgegeben von Thomas Milch 205 $aGenehmigte Taschenbuchausg 210 $a[München]$cGoldmann$dc1979 215 $a151 p.$d18 cm. 410 1$1001UON00342858$12001 $aGoldmann Buch$1210 $aMünchen$cGoldmann.$v9214 464 1$1001UON00342898$12001 $aˆDie ‰tückische Strasse$eneunzehn Kriminalgeschichten$fWalter Serner. 620 $aDE$dMünchen$3UONL003025 676 $a833$cLetteratura narrativa tedesca$v21 700 1$aSERNER$bWalter$3UONV192310$0702513 702 1$aMILCH$bThomas$3UONV192321 712 $aGoldmann$3UONV249836$4650 801 $aIT$bSOL$c20240220$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00342894 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI TED 25 I SER 07 $eSI LO 46956 5 07 996 $aGesammelte Werke. 8.: Die tückische Strasse$91851896 997 $aUNIOR LEADER 12745nam 22005895 450 001 9910595051903321 005 20251113192609.0 010 $a9783031164460 010 $a3031164466 024 7 $a10.1007/978-3-031-16446-0 035 $a(MiAaPQ)EBC7088303 035 $a(Au-PeEL)EBL7088303 035 $a(CKB)24846063700041 035 $a(PPN)264953053 035 $a(OCoLC)1345279906 035 $a(DE-He213)978-3-031-16446-0 035 $a(EXLCZ)9924846063700041 100 $a20220916d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMedical Image Computing and Computer Assisted Intervention ? MICCAI 2022 $e25th International Conference, Singapore, September 18?22, 2022, Proceedings, Part VI /$fedited by Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li 205 $a1st ed. 2022. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2022. 215 $a1 online resource (841 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13436 311 08$aPrint version: Wang, Linwei Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 Cham : Springer,c2022 9783031164453 320 $aIncludes bibliographical references and index. 327 $aIntro -- Preface -- Organization -- Contents - Part VI -- Image Registration -- SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI -- 1 Introduction -- 2 Methods -- 2.1 Transformation Update -- 2.2 Volume Estimation -- 2.3 Training -- 3 Experiments and Results -- 3.1 Experiment Setup -- 3.2 Simulated Data -- 3.3 Real Fetal MR Data -- 4 Conclusion -- References -- Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration -- 1 Introduction -- 2 Methods -- 2.1 Mean-Teacher Based Temporal Consistency Regularization -- 2.2 Double-Uncertainty Guided Adaptive Weighting -- 3 Experiments and Results -- 4 Conclusion -- References -- Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative and Post-recurrence Brain Tumor MRI Scans -- 1 Introduction -- 2 Methods -- 2.1 Bidirectional Deformable Image Registration -- 2.2 Forward-Backward Consistency Constraint -- 2.3 Inverse Consistency -- 2.4 Objective Function -- 3 Experiments -- 4 Conclusion -- References -- On the Dataset Quality Control for Image Registration Evaluation -- 1 Introduction -- 2 Method -- 2.1 Constructing the Variogram -- 2.2 Potential FLEs -- 2.3 Atypical Variogram Patterns -- 3 Experiments -- 4 Discussion -- References -- Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT -- 1 Introduction -- 2 Methods -- 2.1 Dataset and Preprocessing -- 2.2 Dual-Branch Squeeze-Fusion-Excitation Module -- 2.3 Deep Registration and Fully Connected Layers -- 2.4 Implementation Details -- 2.5 Quantitative Evaluations -- 3 Results -- 4 Conclusion -- References -- Embedding Gradient-Based Optimization in Image Registration Networks -- 1 Introduction -- 2 Method -- 3 Experiments -- 4 Conclusion -- References. 327 $aContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration -- 1 Introduction -- 2 Related Work -- 3 Methods -- 4 Experiments -- 5 Discussion -- References -- Swin-VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer -- 1 Introduction -- 2 Method -- 2.1 Network Structures -- 2.2 Loss Function -- 3 Experiments -- 3.1 Datasets, Preprocessing and Evaluation Criteria -- 3.2 Results -- 4 Conclusions -- References -- Non-iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning -- 1 Introduction -- 2 Method -- 2.1 Selectively-Propagated Feature Learning (SFL) -- 2.2 Single-Pass Deep Cumulative Learning (SDCL) -- 2.3 Unsupervised Training -- 3 Experimental Setup -- 3.1 Datasets -- 3.2 Implementation Details -- 3.3 Comparison Methods -- 3.4 Experimental Settings -- 4 Results and Discussion -- 5 Conclusion -- References -- DSR: Direct Simultaneous Registration for Multiple 3D Images -- 1 Introduction -- 2 Methodology -- 2.1 Direct Bundle Adjustment -- 2.2 Simultaneous Registration Without Intensity Optimization -- 3 Experiments and Results -- 3.1 Simulated Experiments -- 3.2 In-Vivo Experiments -- 4 Conclusion -- References -- Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network -- 1 Introduction -- 2 Methods -- 2.1 Synthetic Augmentations for Multi-modal Retinal Images -- 2.2 Multi-modal Retinal Keypoint Detection and Description Network -- 2.3 Keypoint Matching Using a Graph Convolutional Neural Network -- 3 Experiments -- 3.1 Multi-modal Retinal Datasets -- 3.2 Implementation and Experimental Details -- 3.3 Results -- 4 Conclusion -- References -- A Deep-Discrete Learning Framework for Spherical Surface Registration -- 1 Introduction -- 2 Method -- 2.1 Rotation Architecture. 327 $a2.2 Deep-Discrete Networks -- 3 Experiments -- 4 Conclusions -- References -- Privacy Preserving Image Registration -- 1 Introduction -- 2 Problem Statement -- 3 Methods -- 3.1 Secure Computation -- 3.2 PPIR: Privacy Preserving Image Registration -- 4 Experimental Results -- 5 Conclusion -- References -- Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration -- 1 Introduction -- 2 Method -- 3 Experiments and Discussion -- 4 Conclusion -- References -- End-to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation -- 1 Introduction -- 2 Methods -- 2.1 Synthetic CT Generation from MR -- 2.2 Multi-Slice-to-Volume Registration -- 3 Experiments and Results -- 3.1 Dataset and Preprocessing -- 3.2 Implementation Details -- 3.3 Baseline Methods -- 3.4 Results for MR-to-CT Translation -- 3.5 Results for Multi-Slice-to-Volume Registration -- 4 Conclusion -- References -- Fast Spherical Mapping of Cortical Surface Meshes Using Deep Unsupervised Learning -- 1 Introduction -- 2 Method -- 2.1 Overall Design and Conception -- 2.2 Coarse-to-Fine Multi-resolution Framework -- 2.3 Loss Functions -- 3 Experiments and Results -- 3.1 Experimental Setting -- 3.2 Results -- 4 Conclusion -- References -- Learning-Based US-MR Liver Image Registration with Spatial Priors -- 1 Introduction -- 2 Methods -- 3 Results and Discussion -- 4 Conclusion -- References -- Unsupervised Deep Non-rigid Alignment by Low-Rank Loss and Multi-input Attention -- 1 Introduction -- 2 Deep Non-rigid Alignment Using Low-Rank Loss -- 3 Experiments -- 4 Conclusion -- References -- Transformer Lesion Tracker -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Feature Extractor and Sparse Selection Strategy -- 3.2 Cross Attention-Based Transformer -- 3.3 Center Predictor and Training Loss -- 4 Experiments and Experimental Results. 327 $a4.1 Dataset and Experiment Setup -- 4.2 Experimental Results and Discussion -- 5 Conclusion -- References -- LiftReg: Limited Angle 2D/3D Deformable Registration -- 1 Introduction -- 2 Problem Formulation -- 3 Method -- 3.1 PCA-Based Deformation Vector Field Subspace -- 3.2 Network Structure -- 3.3 Network Training -- 4 Experiments -- 4.1 Data Preparation -- 4.2 Evaluation Metrics -- 4.3 Validation of the DVF Subspace -- 4.4 Pairwise 2D/3D Deformable Image Registration -- 5 Conclusion -- References -- XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention -- 1 Introduction -- 2 Methodology -- 2.1 XMorpher for Efficient and Multi-level Semantic Feature Representation in Registration -- 2.2 Cross Attention Transformer Block for Corresponding Atention -- 2.3 Multi-size Window Partitions for Local-Wise Correspondence -- 3 Experiment -- 3.1 Experiment Protocol -- 3.2 Results and Analysis -- 4 Conclusion -- References -- Weakly-Supervised Biomechanically-Constrained CT/MRI Registration of the Spine -- 1 Introduction -- 2 Method -- 3 Experiments -- 4 Conclusion and Discussion -- References -- Collaborative Quantization Embeddings for Intra-subject Prostate MR Image Registration -- 1 Introduction -- 2 Method -- 2.1 Preliminary: Deep Vector Quantization -- 2.2 Model Overview -- 2.3 Vanilla Quantization -- 2.4 Hierarchical Quantization -- 2.5 Collaborative Quantization -- 2.6 Training -- 3 Experiment -- 3.1 Experimental Settings -- 3.2 Ablation Study -- 3.3 Comparison with Existing Methods -- 4 Conclusion -- References -- Mesh-Based 3D Motion Tracking in Cardiac MRI Using Deep Learning -- 1 Introduction -- 2 Method -- 2.1 Mesh Displacement Estimation -- 2.2 Mesh Prediction -- 2.3 Differentiable Mesh-to-Image Rasterizer -- 2.4 Optimization -- 3 Experiments and Results -- 4 Conclusion -- References. 327 $aData-Driven Multi-modal Partial Medical Image Preregistration by Template Space Patch Mapping -- 1 Introduction -- 2 Method -- 2.1 Template-Space Patch Mapping (TSPM) -- 2.2 Pipeline Execution -- 3 Experiments -- 4 Conclusion -- References -- Global Multi-modal 2D/3D Registration via Local Descriptors Learning -- 1 Introduction -- 2 Approach -- 2.1 Challenges of Local Feature Extraction for Medical Images -- 2.2 Detector-Free Local Feature Networks -- 2.3 Multiple Frames -- 3 Experiments -- 3.1 Datasets -- 3.2 Baselines and Main Results -- 3.3 Ablation Studies -- 3.4 Similarity Visualization -- 4 Conclusions -- References -- Adapting the Mean Teacher for Keypoint-Based Lung Registration Under Geometric Domain Shifts -- 1 Introduction -- 2 Methods -- 2.1 Problem Statement -- 2.2 Baseline Model -- 2.3 Domain-Adaptive Registration with the Mean Teacher -- 3 Experiments -- 3.1 Experimental Setup -- 3.2 Results -- 4 Conclusion -- References -- DisQ: Disentangling Quantitative MRI Mapping of the Heart -- 1 Introduction -- 2 Methodology -- 2.1 Overall Framework: Disentangling Latent Spaces -- 2.2 Bootstrapping Disentangled Representations -- 3 Experiments -- 3.1 Dataset -- 3.2 Implementation -- 3.3 Results -- 4 Conclusion -- References -- Learning Iterative Optimisation for Deformable Image Registration of Lung CT with Recurrent Convolutional Networks -- 1 Introduction -- 1.1 Related Work -- 1.2 Adam Optimisation -- 1.3 Our Contribution -- 2 Methods -- 2.1 Pre-registration -- 2.2 Extraction of Optimisation Inputs -- 2.3 Optimiser Network -- 2.4 Comparison to Feed-Forward Nets and Adam Optimisation -- 3 Experiments and Results -- 4 Discussion -- References -- Electron Microscope Image Registration Using Laplacian Sharpening Transformer U-Net -- 1 Introduction -- 2 Methods -- 2.1 Displacement Field Generation -- 2.2 Feature Enhancement. 327 $a2.3 Cascaded Registration. 330 $aThe eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning ? domain adaptation and generalization; Part VIII: Machine learning ? weakly-supervised learning; machine learning ? model interpretation; machine learning ? uncertainty; machine learning theory and methodologies. . 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v13436 606 $aImage processing 606 $aImage Processing 615 0$aImage processing. 615 14$aImage Processing. 676 $a616.07540285 676 $a616.07540285 702 $aWang$b Linwei 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910595051903321 996 $aMedical image computing and computer assisted intervention - MICCAI 2022$93008832 997 $aUNINA LEADER 03862nam 2200601 a 450 001 9910973082603321 005 20251117065408.0 010 $a1-299-05400-5 010 $a1-60344-562-5 035 $a(CKB)2670000000081282 035 $a(SSID)ssj0000531033 035 $a(PQKBManifestationID)11360345 035 $a(PQKBTitleCode)TC0000531033 035 $a(PQKBWorkID)10583610 035 $a(PQKB)10742225 035 $a(OCoLC)607761344 035 $a(MdBmJHUP)muse1262 035 $a(Au-PeEL)EBL3037924 035 $a(CaPaEBR)ebr10455999 035 $a(CaONFJC)MIL436650 035 $a(MiAaPQ)EBC3037924 035 $a(BIP)46434403 035 $a(BIP)12779444 035 $a(EXLCZ)992670000000081282 100 $a20050912d2006 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aTraveling between worlds $eGerman-American encounters /$fedited by Thomas Adam and Ruth Gross 205 $a1st ed. 210 $aCollege Station $cTexas A&M University Press$dc2006 215 $aviii, 190 p. $cill 225 1 $aThe Walter Prescott Webb memorial lectures ;$v36 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a1-58544-478-2 330 $a"This volume is an intriguing document for the new state of intercultural studies with regard to German-American history. Full of new discoveries in the realms of art collecting, poetry, women's standing, universities, social politics, and everyday life, the book illuminates the Atlantic not as the barrier but rather the bridge between the people of two nations. It sets clear parameters for the step from merely tracing cultural relations (and stereotypes) to an understanding of the transatlantic world as an ever-changing web of human interconnections. The essays complement each other in their reflection of both the ethnic traditions of the German-Americans and the intercultural encounters of the elites in the nineteenth century, raising new interest in the specifics of travels across the Atlantic and providing a new context to the much-debated facts of German emigration and American isolationism."--Frank Trommler, University of Pennsylvania "With their focus on the variety and processes of transatlantic cultural and intellectual exchange, most of the essays in the two volumes under review here do reflect a significant shift in perspective in German-American Studies, away from the filiopietistic, quaint, or contributionist vein to serious engagement with theoretical discourses that shape the broader field of German Studies today. The editors are to be congratulated for producing volumes that may in fact help to bring German-American Studies back into the mainstream of that field." ---H-Net Book Reviews, May 2008 Nineteenth-century Germans and Americans were linked by emigration and ongoing interaction and cultural exchanges. In "Traveling between Worlds," six authors explore the German-American relationship, focusing on the topics of travel, cultural interpretation, ideological and intellectual transfer, the immigrant experience, and German-American poetry. Contributors are: Christoph Mauch, Eberhard Bruning, John T. Walker, Thomas Adam, Gabriele Lingelbach, Andrew P. Yox, and Christiane Harzig. 410 0$aWalter Prescott Webb memorial lectures ;$v36. 606 $aGerman Americans$xHistory$y19th century 607 $aUnited States$xRelations$zGermany 607 $aGermany$xRelations$zUnited States 615 0$aGerman Americans$xHistory 676 $a303.48/24307309034 701 $aAdam$b Thomas$f1968-$0903259 701 $aGross$b Ruth V$01864921 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910973082603321 996 $aTraveling between worlds$94471898 997 $aUNINA