LEADER 09540nam 22008175 450 001 9911113945003321 005 20260102122808.0 010 $a3-032-09513-1 010 $a9783032095138 024 7 $a10.1007/978-3-032-09513-8 035 $a(CKB)44770148400041 035 $a(MiAaPQ)EBC32470410 035 $a(Au-PeEL)EBL32470410 035 $a(DE-He213)978-3-032-09513-8 035 $a(OCoLC)1569171941 035 $a(EXLCZ)9944770148400041 100 $a20260102d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning in Medical Imaging $e16th International Workshop, MLMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings /$fedited by Zhiming Cui, Islem Rekik, Heung-IL Suk, Xi Ouyang, Kaicong Sun, Sheng Wang 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (1189 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v16241 311 08$a3-032-09512-3 327 $a -- LGE-Guided Cross-Modality Contrastive Learning for Gadolinium-Free Cardiomyopathy Screening in Cine CMR. -- Facial Model Assisted Shape Prediction for Orthognathic Surgery. -- Joint Motion Correction of Multi-Atlas Functional Connectivity during Infancy. -- 3D-ReVert: 3D Reconstruction of Vertebrae from a Single Radiograph for Minimally Invasive Spine Surgery. -- VIViT: Variable-Input Vision Transformer Framework for 3D MR Image Segmentation. -- gResDM: A Graph-driven Residual Diffusion Model for Accelerating DWI Data Acquisition. -- Semi-Supervised 3D Medical Segmentation from 2D Natural Images Pretrained Model. -- Regional Hausdorff Distance Losses for Medical Image Segmentation. -- Identification of functional brain dynamics based on structural connectivity constrained functional time series. -- MR-CLIP: Efficient Metadata-Guided Learning of MRI Contrast Representations. -- Lightweight Hypercomplex MRI Reconstruction: A Generalized Kronecker-Parameterized Approach. -- Leveraging self-supervised pretraining using transformers for enhanced lung nodule detection in CT scans. -- From Action to Anatomy - Countering Data Scarcity with Video-Based Training for Ill-Posed MRI Problems. -- Auditing Significance, Metric Choice, and Demographic Fairness in Medical AI Challenges. -- Synthesis of Abdominal Contrast-Enhanced CT using Diffusion-based Spatial Transform Control. -- AMD-Mamba: A Phenotype-Aware Multi-Modal Framework for Robust AMD Prognosis. -- DEnPL: Improved Classification in Imbalanced Medical Datasets via Data-Engineered Prototypical Metric Loss. -- A Detail-preserving Latent Diffusion Model for Arbitrarily Accelerated MR Imaging. -- TransGATNet: Hybrid Temporal-Frequency Features with Graph-Attention Transformers for Sleep Staging in OSA Patients. -- U-DFA: A Unified DINOv2-Unet with Dual Fusion Attention for Multi-Dataset Medical Segmentation. -- UniDis: Universal Distillation for Efficient and Personalized Pathology Diagnosis. -- End-to-end Cortical Surface Reconstruction from Clinical Magnetic Resonance Images. -- Brain Network Mamba: A Bi-directional State-Space Model for Brain Network Analysis on rs-fMRI. -- Emerging Semantic Segmentation from Positive and Negative Coarse Label Learning. -- ClinicalFMamba: Advancing Clinical Assessment using Mamba-based Multimodal Neuroimaging Fusion. -- TissueAgeNet: Quantitative Textual Guidance for Tissue Level Brain Age Estimation. -- Surface-Guided Construction of 4D Volumetric Atlases of Fetal Brains. -- Radiogenomic Bipartite Graph Representation Learning for Alzheimer's Disease Detection. -- Feature Imputation for Missing Modalities in Multimodal Ultrasound. -- CCMorph: Conditional Contrastive Learning for Unsupervised Medical Image Registration. -- CAC-MAE: A Calcification-aware Masked Autoencoder for Cardiovascular Disease Risk Assessment on Low-Dose CT. -- HiT-ULM: Hierarchical Temporal Dynamics Learning for Efficient Clinical Ultrasound Localization Microscopy. -- Policy to Assist Iteratively Local Segmentation: Optimising Modality and Location Selection for Prostate Cancer Localisation. -- Domain Adaptation for Ulcerative Colitis Severity Estimation Using Patient-Level Diagnoses. -- AREPAS: Anomaly Detection in Fine-Grained Anatomy with Reconstruction based Semantic Patch Scoring. -- Beyond Pixels: Medical Image Quality Assessment with Implicit Neural Representations. -- Medical Referring Image Segmentation: Addressing Multi-Lesion Reference and Annotation Uncertainty via Vision-Language Fusion. -- Towards Generalizable Clinical Knowledge Discovery for Radiology Report Generation. -- Weighted Mean Frequencies: a handcraft Fourier feature for 4D Flow MRI segmentation. -- ConnecToMind: Connectome-Aware fMRI Decoding for Visual Image Reconstruction. -- Segmentation of glioblastoma infiltration using hybrid labels from MRI and [18F]FET PET. -- Patch-level attribution of multimodal fracture risk prediction. -- Scheduled Cross-Domain Multi-Center DINO for Robust High-Content Screening Representation Learning. -- Temporal Periodic Image Registration with Implicit Neural Representations. -- Diagnosis of Blood Diseases and Disorders with Topological Deep Learning. -- Temporal Super-Resolution of Medical Images with Implicit Neural Representations. -- GyralNet Sub-network Partitioning via Differentiable Spectral Modularity Optimization. -- GRASPing Anatomy to Improve Pathology Segmentation. -- Preserving Diagnostic Details in Low-Dose CT with Frequency-Domain Guided Deep Learning. -- Evaluating structural uncertainty in accelerated MRI: are voxelwise measures useful surrogates?. -- SwinDDF: Dense Dynamic Fusion Network for 3D Segmentation of Complex-Shaped Nuclei. -- Improving Visual Search in Medical Videos with Self-Supervised Learning and Temporal Feature Integration. -- Ontology-Based Concept Distillation for Radiology Report Retrieval and Labeling. -- Automated Dental Caries Segmentation in Panoramic Radiographs Using Dual-Stage Deep Learning. -- Anatomy-Guided Semi-Supervised Registration with Combined Rigid and Label Supervision for Improved Rib Deformation Consistency. -- MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-Modal Masked Autoencoder. -- Attention Pooling Enhances NCA-based Classification of Microscopy Images. -- Predicting Cognitive Outcomes by Mapping White Matter Tracts to Surface. -- Bridging Brain Connectomes and Clinical Reports for Early Alzheimer's Disease Diagnosis. -- Image-Guided Liver Tumor Synthesis. -- Relation-Preserving Harmonization of Functional Connectivity Representation: Ensuring Local Functional, Longitudinal, and Population-Level Consistency. -- nnU-BNST: Deep Learning-Based Automated Segmentation of the Bed Nucleus of the Stria Terminalis. -- AGFuse-Net: Enhancing Rapid SPECT/CT Imaging via Anatomy-Guided Attention Gates and Multimodality Fusion Network. -- GMPT: General Multimodal Segmentation Model Guided by Multi-Expert Pathway. -- Diff4MMLiTS: Advanced Multimodal Liver Tumor Segmentation via Diffusion-Based Image Synthesis and Alignment. 330 $aThis book constitutes the refereed proceedings of the 16th International Workshop on Machine Learning in Medical Imaging, MLMI 2025, held in Conjunction with MICCAI 2025, Daejeon, South Korea, on September 23, 2025. The 65 full papers included in this book were carefully reviewed and selected from 101 submissions. They focus on advanced scientific research covering topics such as deep learning, foundation models, generative learning, and statistical methods with their applications to computer-aided diagnosis, multi-modality fusion, image reconstruction, digital pathology, and large-scale data analytics. . 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v16241 606 $aComputer vision 606 $aPattern recognition systems 606 $aMachine learning 606 $aComputer engineering 606 $aComputer networks 606 $aSocial sciences$xData processing 606 $aBioinformatics 606 $aComputer Vision 606 $aAutomated Pattern Recognition 606 $aMachine Learning 606 $aComputer Engineering and Networks 606 $aComputer Application in Social and Behavioral Sciences 606 $aComputational and Systems Biology 615 0$aComputer vision. 615 0$aPattern recognition systems. 615 0$aMachine learning. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aSocial sciences$xData processing. 615 0$aBioinformatics. 615 14$aComputer Vision. 615 24$aAutomated Pattern Recognition. 615 24$aMachine Learning. 615 24$aComputer Engineering and Networks. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aComputational and Systems Biology. 676 $a006.37 700 $aCui$b Zhiming$01885026 701 $aRekik$b Islem$01431785 701 $aSuk$b Heung-Il$01885027 701 $aOuyang$b Xi$01885028 701 $aSun$b Kaicong$01885029 701 $aWang$b Sheng$01872046 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911113945003321 996 $aMachine Learning in Medical Imaging$94519856 997 $aUNINA LEADER 05514nam 2200757 a 450 001 9911093601703321 005 20251117094753.0 010 $a9786613555243 010 $a9781280354403 010 $a1280354402 010 $a9789812836441 010 $a9812836446 035 $a(CKB)2550000000078891 035 $a(EBL)840710 035 $a(OCoLC)858228410 035 $a(SSID)ssj0000660578 035 $a(PQKBManifestationID)12249349 035 $a(PQKBTitleCode)TC0000660578 035 $a(PQKBWorkID)10703654 035 $a(PQKB)10298377 035 $a(MiAaPQ)EBC840710 035 $a(WSP)00007084 035 $a(Au-PeEL)EBL840710 035 $a(CaPaEBR)ebr10524595 035 $a(CaONFJC)MIL355524 035 $a(Perlego)850534 035 $a(EXLCZ)992550000000078891 100 $a20120126d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCosmic secrets $ebasic features of reality /$fWolfram Schommers 205 $a1st ed. 210 $aSingapore ;$aHackensack, N.J. $cWorld Scientific$dc2012 215 $a1 online resource (400 p.) 300 $aDescription based upon print version of record. 311 08$a9789812836434 311 08$a9812836438 320 $aIncludes bibliographical references (p. 369-371) and index. 327 $aForeword; Contents; 1. The Absolute Truth; 1.1 Final Truth; 1.2 Two Important Questions; 1.3 Why Does the Cosmos Exist?; 1.4 Are the Laws of Nature Independent of the Observer's Own Nature?; 1.5 Self-Indulgence was Dominant; 1.6 Newton's Mechanics and Its Overestimation; 1.6.1 Instead of Gods, Capricious Fairies etc. We Have the Equations of Motion; 1.6.2 Lamettrie and the Monistic Picture of Man; 1.6.3 Conclusion; 1.7 Scientific Realism; 1.8 An Important Principle: As Little Outside World as Possible; 1.9 Inside World and Outside World; 1.9.1 One-to-One Correspondence? 327 $a1.9.2 Cinema and Cinema Ticket1.9.3 Summary; 1.10 Principal Questions; 1.10.1 Are Picture-Independent Physical Considerations Possible?; 1.10.2 Why Do We and the Cosmos Exist?; 1.11 How Does Science Progress?; 1.11.1 Science Progresses by Eliminating the Number of Unanswered Questions; 1.11.2 Principle of Propagation of Questions; 1.11.3 Substitution Instead of Successive Refinement; 1.11.4 Summary; 1.12 Final Remarks; 2. The Projection Principle; 2.1 The Elements of Space and Time; 2.2 Relationship between Matter and Space-Time; 2.3 Two Relevant Features; 2.3.1 Feature 1; 2.3.2 Feature 2 327 $a2.4 Two Kinds of "Objects"2.5 Perception Processes; 2.5.1 The Experiment with Inverting Goggles; 2.5.2 Space and Time Come into Existence by Specific Brain Functions; 2.6 Inside World and Outside World; 2.7 The Influence of Evolution; 2.8 Information in the Picture Versus Information in Basic Reality (Outside Reality); 2.9 Other Biological Systems; 2.10 How Many (Geometrical) Objects can be in Space-Time?; 2.11 Two Types of Space-Time?; 2.12 Summary; 3. Fictitious Realities; 3.1 Conventional Quantum Theory: Critical Remarks; 3.1.1 A Diversity of Opinion 327 $a3.1.2 Some Specific Problems within Conventional Quantum Theory3.2 The Projection Principle in Connection with Fictitious Realities; 3.2.1 Alternative Realities; 3.2.2 Relationships; 3.2.3 Sequences; 3.3 Distribution of Information; 3.4 Basic Transformation Effects; 3.4.1 Particles; 3.4.2 Role of Time t; 3.4.3 Non-Local Effects; 3.4.4 Conclusion; 3.5 Pictures within Projection Theory; 3.6 Auxiliary Constructions; 3.6.1 Energy within Conventional Physics; 3.6.2 The Physical Laws of Basic Reality; 3.6.3 Remark; 3.7 Basic Laws; 3.7.1 Stationary Case; 3.7.2 Non-Stationary Case; 3.7.3 Discussion 327 $a3.8 Extension of Conventional Quantum Theory3.9 Only Processes are Relevant!; 3.9.1 Free Systems; 3.9.2 Principle of Usefulness; 3.9.3 Real Situation; 3.9.4 Summary; 3.10 Interactions; 3.10.1 What Does Interaction Mean within Projection Theory?; 3.10.2 Delocalized Systems in (p, E)-Space; 3.10.3 Abstract Interaction Laws; 3.11 Distance-Independent Interactions; 3.11.1 General Remarks; 3.11.2 Principal Analysis; 3.11.3 Basic Equations in the Case of Distance-Independent Interactions; 3.11.4 No Exchange of "Space-Time Pieces"; 3.12 Arbitrary Jumps within (r, t )-Space 327 $a3.12.1 The (p, E)-Distributions 330 $aWe see objects in front of us, and experience a real material effect when we approach and touch them. Thus, we conclude that all objects are embedded in space and exist objectively. However, such experiences in everyday life cannot be transferred to the atomic level: within standard quantum theory, the material world is still embedded in space, but it no longer has an objective existence. How can objects be embedded in space without existing objectively? This book addresses this and similar issues in an illustrative and non-conventional way. Using up-to-date information, the following basic qu 606 $aCosmology 606 $aSpace and time 606 $aQuantum cosmology 606 $aQuantum theory 615 0$aCosmology. 615 0$aSpace and time. 615 0$aQuantum cosmology. 615 0$aQuantum theory. 676 $a501 676 $a523.1 700 $aSchommers$b Wolfram$f1941-$0786858 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911093601703321 996 $aCosmic secrets$94779341 997 $aUNINA