Mihaela Pop; Maxime Sermesant; Pierre-Marc Jodoin; Alain Lalande; Xiahai Zhuang; Guang Yang; Alistair Young; Oli Bernard Springer International Publishing AG (2018) Pehmeäkantinen kirja
Oscar Camara; Mihaela Pop; Kawal Rhode; Maxime Sermesant; Nic Smith; Alistair Young Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2010) Pehmeäkantinen kirja
Oscar Camara; E. Konukoglu; Mihaela Pop; Kawal Rhode; Maxime Sermesant; Alistair Young Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012) Pehmeäkantinen kirja
Oscar Camara; Tommaso Mansi; Mihaela Pop; Kawal Rhode; Maxime Sermesant; Alistair Young Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2013) Pehmeäkantinen kirja
Oscar Camara; Tommaso Mansi; Mihaela Pop; Kawal Rhode; Maxime Sermesant; Alistair Young Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2014) Pehmeäkantinen kirja
Oscar Camara; Tommaso Mansi; Mihaela Pop; Kawal Rhode; Maxime Sermesant; Alistair Young Springer International Publishing AG (2015) Pehmeäkantinen kirja
Oscar Camara; Tommaso Mansi; Mihaela Pop; Kawal Rhode; Maxime Sermesant; Alistair Young Springer International Publishing AG (2016) Pehmeäkantinen kirja
Tommaso Mansi; Kristin McLeod; Mihaela Pop; Kawal Rhode; Maxime Sermesant; Alistair Young Springer International Publishing AG (2017) Pehmeäkantinen kirja
Esther Puyol Antón; Mihaela Pop; Carlos Martín-Isla; Maxime Sermesant; Avan Suinesiaputra; Oscar Camara; Karim Lekadir Springer Nature Switzerland AG (2022) Pehmeäkantinen kirja
This book constitutes the thoroughly refereed post-workshop proceedings of the 10th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.
The 42 revised full workshop papers were carefully reviewed and selected from 76 submissions. The topics of the workshop included: cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, statistical modelling of cardiac function across different patient populations, cardiac computational physiology, model customization, atlas based functional analysis, ontological schemata for data and results, integrated functional and structural analyses, as well as the pre-clinical and clinical applicability of these methods.
