Sarah Leclerc
Orcid: 0000-0002-4271-0292
According to our database1,
Sarah Leclerc
authored at least 7 papers
between 2018 and 2023.
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Bibliography
2023
A Tumour and Liver Automatic Segmentation (ATLAS) Dataset on Contrast-Enhanced Magnetic Resonance Imaging for Hepatocellular Carcinoma.
Data, May, 2023
Segmentation of 4D Flow MRI: Comparison between 3D Deep Learning and Velocity-Based Level Sets.
J. Imaging, 2023
Automatic Myocardium Segmentation in Delayed-Enhancement MRI with Pathology-Specific Data Augmentation and Deep Learning Architectures.
Algorithms, 2023
Comparison of CNN Fusion Strategies for Left Ventricle Segmentation from Multi-modal MRI.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023
2020
LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography.
CoRR, 2020
2019
Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography.
IEEE Trans. Medical Imaging, 2019
2018
Left ventricle segmentation in 3D ultrasound by combining structured random forests with active shape models.
Proceedings of the Medical Imaging 2018: Image Processing, 2018