About this Research Topic
"Year in Review: Discussions in cardiovascular imaging" is part of a wider series of Research Topics across Frontiers in Cardiovascular Medicine, hosted by our Specialty Chief Editors and Associate Editors.
This Research Topic aims to spark discussion around popular spontaneous articles from 2022 in Cardiovascular Imaging. The medical imaging field is continuously evolving, therefore we are seeking to understand developments and perspectives on articles that have attracted attention throughout the year.
The chosen manuscripts are:
Cardiac MR: From Theory to Practice
Advances in Multimodality Cardiovascular Imaging in the Diagnosis of Heart Failure With Preserved Ejection Fraction
Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of Atherosclerosis
WSSNet: Aortic Wall Shear Stress Estimation Using Deep Learning on 4D Flow MRI
Cardiovascular Imaging in Stress Cardiomyopathy (Takotsubo Syndrome)
This topic will be summarized by the specialty chief editors in an editorial alongside their vision for cardiovascular medicine.
We welcome Opinions, Perspectives, Hypotheses and Theory, and Mini-Review article types to facilitate this discussion. Please note only papers that are relevant and add a significant contribution to the discussion will be considered.
This Research Topic aims to spark discussion around popular spontaneous articles from 2022 in Cardiovascular Imaging. The medical imaging field is continuously evolving, therefore we are seeking to understand developments and perspectives on articles that have attracted attention throughout the year.
The chosen manuscripts are:
Cardiac MR: From Theory to Practice
Advances in Multimodality Cardiovascular Imaging in the Diagnosis of Heart Failure With Preserved Ejection Fraction
Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of Atherosclerosis
WSSNet: Aortic Wall Shear Stress Estimation Using Deep Learning on 4D Flow MRI
Cardiovascular Imaging in Stress Cardiomyopathy (Takotsubo Syndrome)
This topic will be summarized by the specialty chief editors in an editorial alongside their vision for cardiovascular medicine.
We welcome Opinions, Perspectives, Hypotheses and Theory, and Mini-Review article types to facilitate this discussion. Please note only papers that are relevant and add a significant contribution to the discussion will be considered.
Keywords: Imaging, MR, MRI, Deep learning, AI, cardiovascular
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
