O
Olivier Bernard
Researcher at French Institute for Research in Computer Science and Automation
Publications - 830
Citations - 42407
Olivier Bernard is an academic researcher from French Institute for Research in Computer Science and Automation. The author has contributed to research in topics: Liver transplantation & Segmentation. The author has an hindex of 96, co-authored 790 publications receiving 37878 citations. Previous affiliations of Olivier Bernard include Intelligence and National Security Alliance & Institut national des sciences appliquées.
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Journal ArticleDOI
Mutation in TET2 in Myeloid Cancers
François Delhommeau,Sabrina Dupont,Véronique Della Valle,Chloé James,Séverine Trannoy,Aline Massé,Olivier Kosmider,Jean-Pierre Le Couedic,Fabienne Robert,Antonio José Alberdi,Yann Lécluse,Isabelle Plo,François Dreyfus,Christophe Marzac,Nicole Casadevall,Catherine Lacombe,Serge Romana,Philippe Dessen,Jean Soulier,Franck Viguié,Michaela Fontenay,William Vainchenker,Olivier Bernard +22 more
TL;DR: Somatic mutations in TET2 occur in about 15% of patients with various myeloid cancers and were present in hematopoietic stem cells and preceded the JAK2 V617F mutation in the five samples from patients with myeloproliferative disorders that were analyzed.
Journal ArticleDOI
Life-cycle assessment of biodiesel production from microalgae.
TL;DR: The outcome confirms the potential of microalgae as an energy source but highlights the imperative necessity of decreasing the energy and fertilizer consumption and control of nitrogen stress during the culture and optimization of wet extraction seem to be valuable options.
Journal ArticleDOI
Anaerobic digestion of microalgae as a necessary step to make microalgal biodiesel sustainable.
TL;DR: The ability of these CO2 consuming microalgae to purify biogas and concentrate methane is discussed, and anaerobic digestion of the whole biomass appears to be the optimal strategy on an energy balance basis for the energetic recovery of cell biomass.
Journal ArticleDOI
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
Olivier Bernard,Alain Lalande,Clement Zotti,Frederick Cervenansky,Xin Yang,Pheng-Ann Heng,Irem Cetin,Karim Lekadir,Oscar Camara,Miguel Ángel González Ballester,Gerard Sanroma,Sandy Napel,Steffen E. Petersen,Georgios Tziritas,Elias Grinias,Mahendra Khened,Varghese Alex Kollerathu,Ganapathy Krishnamurthi,Marc-Michel Rohé,Xavier Pennec,Maxime Sermesant,Fabian Isensee,Paul F. Jäger,Klaus H. Maier-Hein,Peter M. Full,Ivo Wolf,Sandy Engelhardt,Christian F. Baumgartner,Lisa M. Koch,Jelmer M. Wolterink,Ivana Išgum,Yeonggul Jang,Yoonmi Hong,Jay Patravali,Shubham Jain,Olivier Humbert,Pierre-Marc Jodoin +36 more
TL;DR: How far state-of-the-art deep learning methods can go at assessing CMRI, i.e., segmenting the myocardium and the two ventricles as well as classifying pathologies is measured, to open the door to highly accurate and fully automatic analysis of cardiac CMRI.
Journal ArticleDOI
TET2 Inactivation Results in Pleiotropic Hematopoietic Abnormalities in Mouse and Is a Recurrent Event during Human Lymphomagenesis
Cyril Quivoron,Cyril Quivoron,Cyril Quivoron,Lucile Couronné,Lucile Couronné,Lucile Couronné,Véronique Della Valle,Véronique Della Valle,Véronique Della Valle,Cécile K. Lopez,Cécile K. Lopez,Cécile K. Lopez,Isabelle Plo,Isabelle Plo,Isabelle Plo,Orianne Wagner-Ballon,Marcio Do Cruzeiro,François Delhommeau,François Delhommeau,Bertrand Arnulf,Marc-Henri Stern,Lucy A. Godley,Paule Opolon,Hervé Tilly,Eric Solary,Eric Solary,Eric Solary,Yannis Duffourd,Philippe Dessen,Philippe Dessen,Philippe Dessen,Hélène Merle-Béral,Florence Nguyen-Khac,Michaela Fontenay,William Vainchenker,William Vainchenker,William Vainchenker,Christian Bastard,Thomas Mercher,Thomas Mercher,Thomas Mercher,Olivier Bernard,Olivier Bernard,Olivier Bernard +43 more
TL;DR: It is reported that inactivation of Tet2 in mouse perturbs both early and late steps of hematopoiesis including myeloid and lymphoid differentiation in a cell-autonomous manner, endows the cells with competitive advantage, and eventually leads to the development of malignancies.