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Statistical Atlases and Computational Models of the Heart. Workshop, CMRxRecon and MBAS Challenge Papers. : 15th International Workshop, STACOM 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Revised Selected Papers (Lecture Notes in Computer Science)

By: Alistair Young (Edited by) , Avan Suinesiaputra (Edited by) , Chengyan Wang (Edited by) , Esther Puyol-Anton (Edited by) , Jichao Zhao (Edited by) , Maxime Sermesant (Edited by) , Oscar Camara (Edited by) , Qian Tao (Edited by)

Extended Catalogue

Ksh 29,650.00

Format: Paperback or Softback

ISBN-10: 3031877551

ISBN-13: 9783031877551

Collection / Series: Lecture Notes in Computer Science

Collection Type: Publisher collection

Publisher: Springer International Publishing AG

Imprint: Springer International Publishing AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Apr 29th, 2025

Publication Status: Active

Product extent: 490 Pages

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This book constitutes the proceedings of the 15th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2024, 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 48 regular workshop papers included in this volume were carefully reviewed and selected from 64 paper submissions. They focus on Regular Papers; Multiclass Bi-Atrial Segmentation Challenge and Cardiac MRI Reconstruction Challenge.

This book constitutes the proceedings of the 15th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2024, 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 48 regular workshop papers included in this volume were carefully reviewed and selected from 76 paper submissions.They focus on Regular Papers; Multiclass Bi-Atrial Segmentation Challenge amd Cardiac MRI Reconstruction Challenge.


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