Left ventricle segmentation in 3D ultrasound by combining structured random forests with active shape models. - Feriel Khellaf; Sarah Leclerc; Jason D. Voorneveld; Raja Sekhar Bandaru; Johan G. Bosch; Olivier Bernard 001 (Image Processing, 2018)

Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography. - Sarah Leclerc; Erik Smistad; João Pedrosa; Andreas Østvik; Frederic Cervenansky; Florian Espinosa; Torvald Espeland; Erik Andreas Rye Berg; Pierre-Marc Jodoin; Thomas Grenier; Carole Lartizien; Jan D'hooge; et al. (IEEE Trans. Medical Imaging, 2019)

LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography. - 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 001 (CoRR, 2020)

Comparison of CNN Fusion Strategies for Left Ventricle Segmentation from Multi-modal MRI. - Cylia Ouadah; Azadeh Hadadi; Alain Lalande; Sarah Leclerc (FIMH, 2023)

Automatic Myocardium Segmentation in Delayed-Enhancement MRI with Pathology-Specific Data Augmentation and Deep Learning Architectures. - Gonzalo E. Mosquera-Rojas; Cylia Ouadah; Azadeh Hadadi; Alain Lalande; Sarah Leclerc (Algorithms, 2023)

Segmentation of 4D Flow MRI: Comparison between 3D Deep Learning and Velocity-Based Level Sets. - Armando Barrera-Naranjo; Diana Marcela Marín Castrillón; Thomas Decourselle; Siyu Lin; Sarah Leclerc; Marie-Catherine Morgant; Chloé Bernard; Shirley De Oliveira; Arnaud Boucher; Benoit Presles; Olivier Bouchot; Jean-Joseph Christophe; et al. (J. Imaging, 2023)

A Tumour and Liver Automatic Segmentation (ATLAS) Dataset on Contrast-Enhanced Magnetic Resonance Imaging for Hepatocellular Carcinoma. - Félix Quinton; Romain Popoff; Benoît Presles; Sarah Leclerc; Fabrice Mériaudeau; Guillaume Nodari; Olivier Lopez; Julie Pellegrinelli; Olivier Chevallier; Dominique Ginhac; Jean-Marc Vrigneaud; Jean-Louis Alberini (Data, 2023)

Automatic Classification of Nodules from 2D Ultrasound Images Using Deep Learning Networks. - Tewele W. Tareke; Sarah Leclerc; Catherine Vuillemin; Perrine Buffier; Elodie Crevisy; Amandine Nguyen; Marie-Paule Monnier Meteau; Pauline Legris; Serge Angiolini; Alain Lalande (J. Imaging, 2024)