Statistical Atlases and Computational Models of the Heart. Regular and Cmrxrecon Challenge Papers: 16th International Workshop, Stacom 2025, Held in C
暫譯: 心臟的統計圖譜與計算模型:第16屆國際研討會 Stacom 2025 的常規與 Cmrxrecon 挑戰論文

Camara, Oscar, Puyol Antón, Esther, Sermesant, Maxime

  • 出版商: Springer
  • 出版日期: 2026-05-19
  • 售價: $4,050
  • 貴賓價: 9.5$3,847
  • 語言: 英文
  • 頁數: 357
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3032177332
  • ISBN-13: 9783032177339
  • 相關分類: 影像辨識 Image-recognition
  • 海外代購書籍(需單獨結帳)

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商品描述

This book constitutes the proceedings of the 16th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 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 26 full workshop papers included in this book were carefully reviewed and selected from 32 submissions. The CMRxRecon Challenge received 22 paper submissions of which 8 are included in this book. They deal with cardiac segmentation, modelling, motion estimation, statistical shape analysis, and quality control. Deep learning methods were still the predominant approach to performing automated cardiac image analysis. Left atrial image analysis and modelling gained more attention in this workshop, with atrial fibrillation being the common area of interest.

商品描述(中文翻譯)

本書為第16屆國際心臟統計圖譜與計算模型研討會(STACOM 2025)的會議紀錄,該研討會與第28屆國際醫學影像計算與電腦輔助介入會議(MICCAI 2025)於2025年9月27日在南韓大田舉行。本書收錄的26篇完整研討會論文是從32篇投稿中經過仔細審查和選擇而來。CMRxRecon挑戰賽共收到22篇論文投稿,其中8篇被納入本書。這些論文涉及心臟分割、建模、運動估計、統計形狀分析和質量控制。深度學習方法仍然是執行自動化心臟影像分析的主要方法。本次研討會中,左心房影像分析和建模受到更多關注,心房顫動成為共同的研究興趣領域。

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