LEADER 01305nlm2 22003253 a450 001 996449353603316 005 20211223124657.0 010 $a9780191670084 100 $a20110324d1997---- fy 0 101 0 $aeng 135 $adrcnu 200 1 $a<<3.:>> <> coming of the cataclysm, 1961-1966$fRoderick MacFarquhar 210 1 $aOxford$cOxford University Press$d1997 225 2 $aStudies of the East Asian Institute 230 $aBase dati testuale 300 $aSul frontespizio: Published for the Royal institute of international affairs, Studies of the East Asian institute. 330 $aQuesto volume inizia con la grande carestia dei primi anni Sessanta che causò decine di milioni di morti, mettendo in atto una serie di misure di emergenza che dividevano sempre più Mao dai suoi commilitoni. 410 0$aStudies of the East Asian Institute 606 0 $aRivoluzione culturale$2BNCF 676 $a951.05 700 1$aMACFARQQUHAR,$bRoderick$01070357 712 02$aRoyal Institute of International Affairs. 712 02$aColumbia University.$bEast Asian Institute 801 0$bcba$aIT$bcba$gREICAT 801 1$bcba$aIT$bcba$gREICAT 912 $a996449353603316 959 $aEB 969 $aER 996 $aComing of the cataclysm, 1961-1966$92558302 997 $aUNISA LEADER 09857nam 22008655 450 001 996198520203316 005 20200629153901.0 010 $a3-319-19992-7 024 7 $a10.1007/978-3-319-19992-4 035 $a(CKB)3710000000436893 035 $a(SSID)ssj0001558554 035 $a(PQKBManifestationID)16184052 035 $a(PQKBTitleCode)TC0001558554 035 $a(PQKBWorkID)14818669 035 $a(PQKB)10046887 035 $a(DE-He213)978-3-319-19992-4 035 $a(MiAaPQ)EBC6297159 035 $a(MiAaPQ)EBC5579343 035 $a(Au-PeEL)EBL5579343 035 $a(OCoLC)912550101 035 $a(PPN)186399499 035 $a(EXLCZ)993710000000436893 100 $a20150622d2015 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aInformation Processing in Medical Imaging$b[electronic resource] $e24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings /$fedited by Sebastien Ourselin, Daniel C. Alexander, Carl-Fredrik Westin, M. Jorge Cardoso 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (XIX, 809 p. 304 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v9123 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-19991-9 320 $aIncludes bibliographical references and index. 327 $aProbabilistic Graphical Models -- Colocalization Estimation Using Graphical Modeling and Variational Bayesian Expectation Maximization: Towards a Parameter-Free Approach -- Template-Based Multimodal Joint Generative Model of Brain Data -- Generative Method to Discover Genetically Driven Image Biomarkers -- MRI Reconstruction A Joint Acquisition-Estimation Framework for MR Phase Imaging -- A Compressed-Sensing Approach for Super-Resolution Reconstruction of Diffusion MRI -- Accelerated High Spatial Resolution Diffusion-Weighted Imaging -- Clustering -- Joint Spectral Decomposition for the Parcellation of the Human Cerebral Cortex Using Resting-State fMRI -- Joint Clustering and Component Analysis of Correspondenceless Point Sets: Application to Cardiac Statistical Modeling -- Statistical Methods -- Bootstrapped Permutation Test for Multiresponse Inference on Brain Behavior Associations -- Controlling False Discovery Rate in Signal Space for Transformation-Invariant Thresholding of Statistical Maps -- Longitudinal Analysis -- Group Testing for Longitudinal Data -- Spatio-Temporal Signatures to Predict Retinal Disease Recurrence -- Microstructure Imaging -- A Unifying Framework for Spatial and Temporal Diffusion in Diffusion MRI -- Ground Truth for Diffusion MRI in Cancer: A Model-Based Investigation of a Novel Tissue-Mimetic Material -- Shape Analysis -- Anisotropic Distributions on Manifolds: Template Estimation and Most Probable Paths -- A Riemannian Framework for Intrinsic Comparison of Closed Genus-Zero Shapes -- Multi-atlas Fusion Multi-atlas Segmentation as a Graph Labelling Problem: Application to Partially Annotated Atlas Data -- Keypoint Transfer Segmentation -- Fast Image Registration -- Finite-Dimensional Lie Algebras for Fast Diffeomorphic Image Registration -- Fast Optimal Transport Averaging of Neuroimaging Data -- Deformation Models -- Joint Morphometry of Fiber Tracts and Gray Matter Structures Using Double Diffeomorphisms -- A Robust Probabilistic Model for Motion Layer Separation in X-ray Fluoroscopy -- Poster Papers -- Weighted Hashing with Multiple Cues for Cell-Level Analysis of Histopathological Images -- Multiresolution Diffeomorphic Mapping for Cortical Surfaces -- A Comprehensive Computer-Aided Polyp Detection System for Colonoscopy Videos -- A Feature-Based Approach to Big Data Analysis of Medical Images -- Joint Segmentation and Registration Through the Duality of Congealing and Maximum Likelihood Estimate -- Self-Aligning Manifolds for Matching Disparate Medical Image Datasets -- Leveraging EAP-Sparsity for Compressed Sensing of MS-HARDI in (k,q)-Space -- Multi-stage Biomarker Models for Progression Estimation in Alzheimer?s Disease -- Measuring Asymmetric Interactions in Resting State Brain Networks -- Shape Classification Using Wasserstein Distance for Brain Morphometry Analysis -- Temporal Trajectory and Progression Score Estimation from Voxelwise Longitudinal Imaging Measures: Application to Amyloid Imaging -- Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks -- Bodypart Recognition Using Multi-stage Deep Learning -- Multi-subject Manifold Alignment of Functional Network Structures via Joint Diagonalization -- Brain Transfer: Spectral Analysis of Cortical Surfaces and Functional Maps -- Finding a Path for Segmentation Through Sequential Learning -- Pancreatic Tumor Growth Prediction with Multiplicative Growth and Image-Derived Motion -- IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI -- Moving Frames for Heart Fiber Reconstruction -- Detail-Preserving PET Reconstruction with Sparse Image Representation and Anatomical Priors -- Automatic Detection of the Uterus and Fallopian Tube Junctions in Laparoscopic Images -- A Mixed-Effects Model with Time Reparametrization for Longitudinal Univariate Manifold-Valued Data -- Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning Framework -- Multi-scale Convolutional Neural Networks for Lung Nodule Classification -- Tractography-Driven Groupwise Multi-scale Parcellation of the Cortex -- Illumination Compensation and Normalization Using Low-Rank Decomposition of Multispectral Images in Dermatology -- Efficient Gaussian Process-Based Modelling and Prediction of Image Time Series -- A Simulation Framework for Quantitative Validation of Artefact Correction in Diffusion MRI -- Towards a Quantified Network Portrait of a Population -- Segmenting the Brain Surface from CT Images with Artifacts Using Dictionary Learning for Non-rigid MR-CT Registration -- AxTract: Microstructure-Driven Tractography Based on the Ensemble Average Propagator -- Sampling from Determinantal Point Processes for Scalable Manifold Learning -- Model-Based Estimation of Microscopic Anisotropy in Macroscopically Isotropic Substrates Using Diffusion MRI -- Multiple Orderings of Events in Disease Progression -- Construction of An Unbiased Spatio-Temporal Atlas of the Tongue During Speech -- Tree-Encoded Conditional Random Fields for Image Synthesis -- Simultaneous Longitudinal Registration with Group-Wise Similarity Prior -- Spatially Weighted Principal Component Regression for High-Dimensional Prediction -- Coupled Stable Overlapping Replicator Dynamics for Multimodal Brain Subnetwork Identification -- Joint 6D k-q Space Compressed Sensing for Accelerated High Angular Resolution Diffusion MRI -- Functional Nonlinear Mixed Effects Models for Longitudinal Image Data. 330 $aThis book constitutes the proceedings of the 24th International Conference on Information Processing in Medical Imaging, IPMI 2015, held at the Sabhal Mor Ostaig College on the Isle of Skye, Scotland, UK, in June/July 2015. The 22 full papers and 41 poster papers presented in this volume were carefully reviewed and selected from 195 submissions. They were organized in topical sections named: probabilistic graphical models; MRI reconstruction; clustering; statistical methods; longitudinal analysis; microstructure imaging; shape analysis; multi-atlas fusion; fast image registration; deformation models; and the poster session. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v9123 606 $aOptical data processing 606 $aPattern recognition 606 $aHealth informatics 606 $aRadiology 606 $aArtificial intelligence 606 $aMathematical statistics 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23060 606 $aImaging / Radiology$3https://scigraph.springernature.com/ontologies/product-market-codes/H29005 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 615 0$aOptical data processing. 615 0$aPattern recognition. 615 0$aHealth informatics. 615 0$aRadiology. 615 0$aArtificial intelligence. 615 0$aMathematical statistics. 615 14$aImage Processing and Computer Vision. 615 24$aPattern Recognition. 615 24$aHealth Informatics. 615 24$aImaging / Radiology. 615 24$aArtificial Intelligence. 615 24$aProbability and Statistics in Computer Science. 676 $a616.07540285 702 $aOurselin$b Sebastien$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAlexander$b Daniel C$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWestin$b Carl-Fredrik$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCardoso$b M. Jorge$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996198520203316 996 $aInformation Processing in Medical Imaging$91918817 997 $aUNISA LEADER 05394nam 22006495 450 001 996691665903316 005 20251011130402.0 010 $a3-032-08009-6 010 $a9783032080097 024 7 $a10.1007/978-3-032-08009-7 035 $a(MiAaPQ)EBC32342975 035 $a(Au-PeEL)EBL32342975 035 $a(CKB)41621548200041 035 $a(DE-He213)978-3-032-08009-7 035 $a(OCoLC)1547903255 035 $a(EXLCZ)9941621548200041 100 $a20251011d2026 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData Engineering in Medical Imaging $eThird MICCAI Workshop, DEMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings /$fedited by Binod Bhattarai, Anita Rau, Razvan Caramalau, Annika Reinke, Anh Nguyen, Ana Namburete, Prashnna Gyawali, Danail Stoyanov 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (430 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v16191 311 08$a3-032-08008-8 327 $a -- Surgical Vision World Model. -- Overcoming Data Scarcity: Brain Tumor Segmentation in Pediatric and African Populations. -- PiMPiC: An Overlap-Aware Contrastive Learning Framework for 3D Patch-Based Medical Image Segmentation. -- DiffusionXRay: A Diffusion and GAN-Based Approach for Enhancing Digitally Reconstructed Chest Radiographs. -- SingleStrip: learning skull-stripping from a single labeled example. -- Kvasir-VQA-x1: A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal Endoscopy. -- Do Edges Matter? Investigating Edge-Enhanced Pre-Training for Medical Image Segmentation. -- Enhancing Malaria-Infected Red Blood Cell Detection with Domain-Aware Generative Augmentation. -- Analysis of Transferability Estimation Metrics for Surgical Phase Recognition. -- Expert-Guided Explainable Few-Shot Learning for Medical Image Diagnosis. -- Lesion-Aware Visual-Language Fusion for Automated Image Captioning of Ulcerative Colitis Endoscopic Examinations. -- Zero-shot Monocular Metric Depth for Endoscopic Images. -- Robust Federated Anomaly Detection Using Dual-Signal Autoencoders: Application to Kidney Stone Identification in Ureteroscopy. -- RadSURF: Automated Synthesis of Radiographs and Surface Representation of Vertebrae for Single View Reconstruction. -- A Dataset and Benchmark for Enhancing Retained Foreign Object Detection Through Physics-based Image Synthesis. -- Unmasking Interstitial Lung Diseases: Leveraging Masked Autoencoders for Diagnosis. -- Robust Early Detection of Barrett?s Neoplasia: Addressing Low-Prevalence Challenges with Generative Modeling. -- Instance-Balanced Patch Sampling for Whole-Body Lesion Segmentation. -- Calibrated Self-supervised Vision Transformers Improve Intracranial Arterial Calcification Segmentation from Clinical CT Head Scans. -- Estimating 2D Keypoints of Surgical Tools Using Vision-Language Models with Low-Rank Adaptation. -- Exploring Pre-training Across Domains for Few-Shot Surgical Skill Assessment. -- Effect of Data Augmentation on Conformal Prediction for Diabetic Retinopathy. -- Addressing Bias in VLMs for Glaucoma Detection Without Protected Attribute Supervision. -- Balancing Redundancy and Diversity: An In-Depth Analysis of Active Learning for Laparoscopic Video Segmentation. 330 $aThis book constitutes the proceedings of the Third MICCAI Workshop on Data Engineering in Medical Imaging, DEMI 2025, held in conjunction with the 28th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, in Daejeon, South Korea, on September 27, 2025. The 24 full papers included in this book were carefully reviewed and selected from 33 submissions. These papers focus on the topic of data engineering in medical imaging and address open questions in the field. 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