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Automated Measurements of Mitral and Tricuspid Annular Dimensions in Cardiovascular Magnetic Resonance

Conference paper

Gonzales RA. et al, (2022), Proceedings - International Symposium on Biomedical Imaging, 2022-March

Automated left atrial time-resolved segmentation in MRI long-axis cine images using active contours

Journal article

Gonzales RA. et al, (2021), BMC Medical Imaging, 21

Correction to: TVnet: Automated Time-Resolved Tracking of the Tricuspid Valve Plane in MRI Long-Axis Cine Images with a Dual-Stage Deep Learning Pipeline

Chapter

Gonzales RA. et al, (2021), Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, C1 - C1

Ensemble of Deep Convolutional Neural Networks with Monte Carlo Dropout Sampling for Automated Image Segmentation Quality Control and Robust Deep Learning Using Small Datasets

Conference paper

Hann E. et al, (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12722 LNCS, 280 - 293

TVnet: Automated Time-Resolved Tracking of the Tricuspid Valve Plane in MRI Long-Axis Cine Images with a Dual-Stage Deep Learning Pipeline

Conference paper

Gonzales RA. et al, (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12906 LNCS, 567 - 576

Valvular imaging in the era of feature-tracking: A slice-following cardiac MR sequence to measure mitral flow

Journal article

Seemann F. et al, (2020), Journal of Magnetic Resonance Imaging, 51, 1412 - 1421

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