A review of medical image data augmentation techniques for deep learning applications
Research in artificial intelligence for radiology and radiotherapy has recently become
increasingly reliant on the use of deep learning‐based algorithms. While the performance of …
increasingly reliant on the use of deep learning‐based algorithms. While the performance of …
[HTML][HTML] Deep learning in spatiotemporal cardiac imaging: A review of methodologies and clinical usability
KAL Hernandez, T Rienmüller, D Baumgartner… - Computers in Biology …, 2021 - Elsevier
The use of different cardiac imaging modalities such as MRI, CT or ultrasound enables the
visualization and interpretation of altered morphological structures and function of the heart …
visualization and interpretation of altered morphological structures and function of the heart …
[HTML][HTML] Retrospective motion artifact correction of structural MRI images using deep learning improves the quality of cortical surface reconstructions
Head motion during MRI acquisition presents significant challenges for neuroimaging
analyses. In this work, we present a retrospective motion correction framework built on a …
analyses. In this work, we present a retrospective motion correction framework built on a …
Cross-domain artefact correction of cardiac MRI
Artefacts constitute a paramount issue in medical imaging where the prevalence of artefacts
may severely impact the clinical diagnosis accuracy. Specifically, the mistriggering and …
may severely impact the clinical diagnosis accuracy. Specifically, the mistriggering and …