Esther Puyol Antón (ed.) | Akateeminen Kirjakauppa

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STATISTICAL ATLASES AND COMPUTATIONAL MODELS OF THE HEART. REGULAR AND CMRXMOTION CHALLENGE PAPERS : 13TH INTERNATIONAL WORKSHOP

Oscar Camara (ed.); Esther Puyol-Antón (ed.); Chen Qin (ed.); Maxime Sermesant (ed.); Avan Suinesiaputra (ed.); Shuo Wang
Springer (2023)
Pehmeäkantinen kirja

88,20 €

CLINICAL IMAGE-BASED PROCEDURES, FAIRNESS OF AI IN MEDICAL IMAGING, AND ETHICAL AND PHILOSOPHICAL ISSUES IN MEDICAL IMAGING : 12

Stefan Wesarg (ed.); Esther Puyol Antón (ed.); John S. H. Baxter (ed.); Marius Erdt (ed.); Klaus Drechsler (ed.); Oyarzun L
Springer (2023)
Pehmeäkantinen kirja

97,90 €

STATISTICAL ATLASES AND COMPUTATIONAL MODELS OF THE HEART. REGULAR AND CMRXRECON CHALLENGE PAPERS : 14TH INTERNATIONAL WORKSHOP,

Oscar Camara (ed.); Esther Puyol-Antón (ed.); Maxime Sermesant (ed.); Avan Suinesiaputra (ed.); Qian Tao (ed.); Cheng Wang
Springer (2024)
Pehmeäkantinen kirja

68,90 €

Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers : 13th International Workshop

Oscar Camara (ed.), Esther Puyol-Antón (ed.), Chen Qin (ed.), Maxime Sermesant (ed.), Avan Suinesiaputra (ed.), Shuo Wang

88,20 €

Springer
Sivumäärä: 515 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2023, 28.01.2023 (lisätietoa)
Kieli: Englanti
Tuotesarja: Lecture Notes in Computer Science 13593

This book constitutes the proceedings of the 13th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2022, held in conjunction with the 25th MICCAI conference.

The 34 regular workshop papers included in this volume were carefully reviewed and selected after being revised and deal with topics such as: common cardiac segmentation and modelling problems to more advanced generative modelling for ageing hearts, learning cardiac motion using biomechanical networks, physics-informed neural networks for left atrial appendage occlusion, biventricular mechanics for Tetralogy of Fallot, ventricular arrhythmia prediction by using graph convolutional network, and deeper analysis of racial and sex biases from machine learning-based cardiac segmentation.

In addition, 14 papers from the CMRxMotion challenge are included in the proceedings which aim to assess the effects of respiratory motion on cardiac MRI (CMR) imaging quality and examine the robustness of segmentation models in face of respiratory motion artefacts.

A total of 48 submissions to the workshop was received.

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