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Title:

CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy.

Document type:
Journal Article
Author(s):
Qiao, Mengyun; Wang, Shuo; Qiu, Huaqi; de Marvao, Antonio; O'Regan, Declan P; Rueckert, Daniel; Bai, Wenjia
Abstract:
Two key questions in cardiac image analysis are to assess the anatomy and motion of the heart from images; and to understand how they are associated with non-imaging clinical factors such as gender, age and diseases. While the first question can often be addressed by image segmentation and motion tracking algorithms, our capability to model and answer the second question is still limited. In this work, we propose a novel conditional generative model to describe the 4D spatio-temporal anatomy of...     »
Journal title abbreviation:
IEEE Trans Med Imaging
Year:
2024
Journal volume:
43
Journal issue:
3
Pages contribution:
1259-1269
Fulltext / DOI:
doi:10.1109/TMI.2023.3331982
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/37948142
Print-ISSN:
0278-0062
TUM Institution:
Institut für KI und Informatik in der Medizin (Prof. Rückert)
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