Overview of Medical Data Management Solutions for Research Communities. - Sorina Camarasu-Pop; Frederic Cervenansky; Yonny Cardenas; Jean-Yves Nief; Hugues Benoit-Cattin (CCGRID, 2010)

CreaTools: A Framework to Develop Medical Image Processing Software: Application to Simulate Pipeline Stent Deployment in Intracranial Vessels with Aneurysms. - Eduardo E. Dávila Serrano; Laurent Guigues; Jean-Pierre Roux; Frederic Cervenansky; Sorina Camarasu-Pop; Juan Gabriel Riveros Reyes; Leonardo Floréz-Valencia; Marcela Hernández Hoyos; Maciej Orkisz (ICCVG, 2012)

A Virtual Imaging Platform for Multi-Modality Medical Image Simulation. - Tristan Glatard; Carole Lartizien; Bernard Gibaud; Rafael Ferreira da Silva; Germain Forestier; Frederic Cervenansky; Martino Alessandrini; Hugues Benoit-Cattin; Olivier Bernard 001; Sorina Camarasu-Pop; Nadia Cerezo; Patrick Clarysse; et al. (IEEE Trans. Medical Imaging, 2013)

Global Initiative for Sentinel e-Health Network on Grid (GINSENG): Medical Data Integration and Semantic Developments for Epidemiology. - Sébastien Cipière; Guillaume Erétéo; Alban Gaignard; Nouha Boujelben; Sébastien Gaspard; Vincent Breton; Frederic Cervenansky; David R. C. Hill; Tristan Glatard; David Manset; Johan Montagnat; Jérôme Revillard; et al. (CCGRID, 2014)

OntoVIP: An ontology for the annotation of object models used for medical image simulation. - Bernard Gibaud; Germain Forestier; Hugues Benoit-Cattin; Frederic Cervenansky; Patrick Clarysse; Denis Friboulet; Alban Gaignard; Patrick Hugonnard; Carole Lartizien; Hervé Liebgott; Johan Montagnat; Joachim Tabary; et al. (J. Biomed. Informatics, 2014)

Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography. - Olivier Bernard 001; Johan G. Bosch; Brecht Heyde; Martino Alessandrini; Daniel Barbosa 001; Sorina Camarasu-Pop; Frederic Cervenansky; Sébastien Valette; Oana Mirea; Michel Bernier; Pierre-Marc Jodoin; Jaime Santo Domingos; et al. (IEEE Trans. Medical Imaging, 2016)

Boutiques: a flexible framework for automated application integration in computing platforms. - Tristan Glatard; Gregory Kiar; Tristan Aumentado-Armstrong; Natacha Beck; Pierre Bellec; Rémi Bernard; Axel Bonnet; Sorina Camarasu-Pop; Frédéric Cervenansky; Samir Das; Rafael Ferreira da Silva; Guillaume Flandin; et al. (CoRR, 2017)

The first MICCAI challenge on PET tumor segmentation. - Mathieu Hatt; Baptiste Laurent; Anouar Ouahabi; Hadi Fayad; Shan Tan; Laquan Li; Wei Lu 025; Vincent Jaouen; Clovis Tauber; Jakub Czakon; Filip Drapejkowski; Witold Dyrka; et al. (Medical Image Anal., 2018)

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? - Olivier Bernard 001; Alain Lalande; Clément Zotti; Frederic Cervenansky; Xin Yang 009; Pheng-Ann Heng; Irem Cetin; Karim Lekadir; Oscar Camara 001; Miguel Ángel González Ballester; Gerard Sanroma; Sandy Napel; et al. (IEEE Trans. Medical Imaging, 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)

Multiple sclerosis lesions segmentation from multiple experts: The MICCAI 2016 challenge dataset. - Olivier Commowick; Michaël Kain; Romain Casey; Roxana Ameli; Jean-Christophe Ferré; Anne Kerbrat; Thomas Tourdias; Frédéric Cervenansky; Sorina Camarasu-Pop; Tristan Glatard; Sandra Vukusic; Gilles Edan; et al. (NeuroImage, 2021)

AWESOMME: A Web-Based Medical Imaging Processing Platform for Multiple Use Cases. - Tiphaine Diot; Olivier Beuf; Benjamin Leporq; Luc Billaud; Frank Pilleul; Frédéric Cervenansky (HealthCom, 2024)