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- 2021
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Mark
MVnet : automated time-resolved tracking of the mitral valve plane in CMR long-axis cine images with residual neural networks: a multi-center, multi-vendor study
(
- Contribution to journal › Article
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Mark
Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping
(
- Contribution to journal › Article
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Mark
Ensemble of Deep Convolutional Neural Networks with Monte Carlo Dropout Sampling for Automated Image Segmentation Quality Control and Robust Deep Learning Using Small Datasets
2021) 25th Annual Conference on Medical Image Understanding and Analysis, MIUA 2021 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12722 LNCS. p.280-293(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Automated left atrial time-resolved segmentation in MRI long-axis cine images using active contours
(
- Contribution to journal › Article
- 2020
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Mark
Valvular imaging in the era of feature-tracking : A slice-following cardiac MR sequence to measure mitral flow
(
- Contribution to journal › Article
- 2018
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Mark
Assessment of diastolic function and atrial remodeling by MRI – validation and correlation with echocardiography and filling pressure
(
- Contribution to journal › Article