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Herausgeber: 
  • Vinod Kumar
  • Mohamad Habes
  • Deepti R. Bathula
  • Seyed Mostafa Kia
  • Ahmed Abdulkadir
  • Thomas Wolfers
  • Nicha C. Dvornek
  • Machine Learning in Clinical Neuroimaging: 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  Oktober 2022  
    Genre:  EDV / Informatik 
     
    ArtificialIntelligence / bioinformatics / Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften / ComputerNetworks / computerscience / computersystems / Computervision / DeepLearning
    ISBN:  9783031178986 
    EAN-Code: 
    9783031178986 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 11 mm 
    Gewicht:  300 gr 
    Seiten:  192 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Morphometry.- Joint Reconstruction and Parcellation of Cortical Surfaces.- A Study of Demographic Bias in CNN-based Brain MR Segmentation.- Volume is All You Need: Improving Multi-task Multiple Instance Learning for WMH Segmentation and Severity Estimation.- Self-Supervised Test-Time Adaptation for Medical Image Segmentation.- Accurate Hippocampus Segmentation Based on Self-Supervised Learning with Fewer Labeled Data.- Concurrent Ischemic Lesion Age Estimation and Segmentation of CT Brain Using a Transformer-based Network.- Weakly Supervised Intracranial Hemorrhage Segmentation using Hierarchical Combination of Attention Maps from a Swin Transformer.- Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma.- Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-protocol Volumetric Consistency.- Diagnostics, Aging, and Neurodegeneration.- Non-parametric ODE-based Disease Progression Model of Brain Biomarkers in Alzheimer's Disease.- Lifestyle Factors that Promote Brain Structural Resilience in Individuals with Genetic Risk Factors for Dementia.- Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging.- Augmenting Magnetic Resonance Imaging with Tabular Features for Enhanced and Interpretable Medial Temporal Lobe Atrophy Prediction.- Automatic Lesion Analysis for Increased Efficiency in Outcome Prediction of Traumatic Brain Injury.- Autism Spectrum Disorder Classification Based on Interpersonal Neural Synchrony: Can Classification be Improved by Dyadic Neural Biomarkers Using Unsupervised Graph Representation Learning?.- fMRI-S4: Learning Short- and Long-range Dynamic fMRI Dependencies Using 1D Convolutions and State Space Models.- Data Augmentation via Partial Nonlinear Registration for Brain-age Prediction.

      



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