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Herausgeber: 
  • Andreas Maier
  • Alexandra Young
  • Tanveer Syeda-Mahmood
  • Anant Madabhushi
  • Xiang Li
  • Hayit Greenspan
  • Alessa Hering
  • Pritam Mukherjee
  • Tejas S. Mathai
  • Anna Schroder
  • Sven Kuckertz
  • Tiantian He
  • Isaac Llorente-Saguer
  • Satyananda Kashyap
  • Neil P. Oxtoby
  • Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 Workshops: LDTM 2024, MMMI/ML4MHD 2024, ML-CDS 2024, Held in Conjunction with 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  April 2025  
    Genre:  EDV / Informatik 
     
    Clinical Decision Support Systems / Computer Imaging, Vision, Pattern Recognition and Graphics / cross-modality generation / disease progession modelling / Generative AI in healthcare / Health Informatics / healthcare data synthesis / healthcare foundation model
    ISBN:  9783031845246 
    EAN-Code: 
    9783031845246 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Seiten:  262 
    Illustration:  XIX, 262 p. 99 illus., 95 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book constitutes the proceedings from the workshops LDTM 2024, MMMI/ML4MHD 2024, and ML-CDS 2024 which were held in conjunction with the 27th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, in October 2024. The papers included in this book stem from the following workshops: - LDTM 2024, Workshop on Longitudinal Disease Tracking and Modeling with Medical Images and Data, which accepted 13 papers from 15 submissions. - MMMI/ML4MHD 2024, the 5th International Workshop on Multiscale Multimodal Medical Imaging, MMMI 2024, and the First Workshop on Machine Learning for Multimodal/-sensor Healthcare Data, ML4MHD2024, from which 8 papers are included from a total of 14 submissions to the workshop - ML-CDS 2024, Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support, which accepted 4 papers out of 5 submissions

      



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