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Sarah Leclerc
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2020 – today
- 2024
- [j5]Tewele W. Tareke
, Sarah Leclerc, Catherine Vuillemin, Perrine Buffier, Elodie Crevisy, Amandine Nguyen, Marie-Paule Monnier Meteau, Pauline Legris, Serge Angiolini, Alain Lalande
Automatic Classification of Nodules from 2D Ultrasound Images Using Deep Learning Networks. J. Imaging 10(8): 203 (2024) - 2023
- [j4]Gonzalo E. Mosquera-Rojas, Cylia Ouadah
Automatic Myocardium Segmentation in Delayed-Enhancement MRI with Pathology-Specific Data Augmentation and Deep Learning Architectures. Algorithms 16(10): 488 (2023) - [j3]Félix Quinton
A Tumour and Liver Automatic Segmentation (ATLAS) Dataset on Contrast-Enhanced Magnetic Resonance Imaging for Hepatocellular Carcinoma. Data 8(5): 79 (2023) - [j2]Armando Barrera-Naranjo, Diana Marcela Marín Castrillón
Segmentation of 4D Flow MRI: Comparison between 3D Deep Learning and Velocity-Based Level Sets. J. Imaging 9(6): 123 (2023) - [c2]Cylia Ouadah
Comparison of CNN Fusion Strategies for Left Ventricle Segmentation from Multi-modal MRI. FIMH 2023: 265-273 - 2020
- [i1]Sarah Leclerc, Erik Smistad, Andreas Østvik, Frederic Cervenansky, Florian Espinosa, Torvald Espeland, Erik Andreas Rye Berg, Thomas Grenier, Carole Lartizien, Pierre-Marc Jodoin, Lasse Løvstakken, Olivier Bernard:
LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography. CoRR abs/2004.02043 (2020)
2010 – 2019
- 2019
- [j1]Sarah Leclerc
Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography. IEEE Trans. Medical Imaging 38(9): 2198-2210 (2019) - 2018
- [c1]Feriel Khellaf
Left ventricle segmentation in 3D ultrasound by combining structured random forests with active shape models. Medical Imaging: Image Processing 2018: 105740J
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last updated on 2024-10-07 22:15 CEST by the dblp team
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