Maxime Sermesant
Maxime Sermesant
Inria, Université Côte d'Azur - IHU Liryc - 3IA Côte d'Azur
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Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: Is the problem solved?
O Bernard, A Lalande, C Zotti, F Cervenansky, X Yang, PA Heng, I Cetin, ...
IEEE transactions on medical imaging 37 (11), 2514-2525, 2018
Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation
O Clatz, M Sermesant, PY Bondiau, H Delingette, SK Warfield, ...
IEEE transactions on medical imaging 24 (10), 1334-1346, 2005
An electromechanical model of the heart for image analysis and simulation
M Sermesant, H Delingette, N Ayache
IEEE transactions on medical imaging 25 (5), 612-625, 2006
Patient-specific electromechanical models of the heart for the prediction of pacing acute effects in CRT: A preliminary clinical validation
M Sermesant, R Chabiniok, P Chinchapatnam, T Mansi, F Billet, ...
Medical image analysis 16 (1), 201-215, 2012
Inverse relationship between fractionated electrograms and atrial fibrosis in persistent atrial fibrillation: combined magnetic resonance imaging and high-density mapping
AS Jadidi, H Cochet, AJ Shah, SJ Kim, E Duncan, S Miyazaki, ...
Journal of the American College of Cardiology 62 (9), 802-812, 2013
A system for real-time XMR guided cardiovascular intervention
KS Rhode, M Sermesant, D Brogan, S Hegde, J Hipwell, P Lambiase, ...
IEEE Transactions on Medical Imaging 24 (11), 1428-1440, 2005
iLogDemons: A demons-based registration algorithm for tracking incompressible elastic biological tissues
T Mansi, X Pennec, M Sermesant, H Delingette, N Ayache
International journal of computer vision 92 (1), 92-111, 2011
SVF-Net: Learning deformable image registration using shape matching
MM Rohé, M Datar, T Heimann, M Sermesant, X Pennec
International conference on medical image computing and computer-assisted …, 2017
Cardiac function estimation from MRI using a heart model and data assimilation: advances and difficulties
M Sermesant, P Moireau, O Camara, J Sainte-Marie, ...
Medical Image Analysis 10 (4), 642-656, 2006
Benchmarking framework for myocardial tracking and deformation algorithms: An open access database
C Tobon-Gomez, M De Craene, K Mcleod, L Tautz, W Shi, A Hennemuth, ...
Medical image analysis 17 (6), 632-648, 2013
A computational framework for the statistical analysis of cardiac diffusion tensors: application to a small database of canine hearts
JM Peyrat, M Sermesant, X Pennec, H Delingette, C Xu, ER McVeigh, ...
IEEE transactions on medical imaging 26 (11), 1500-1514, 2007
Deformable biomechanical models: Application to 4D cardiac image analysis
M Sermesant, C Forest, X Pennec, H Delingette, N Ayache
Medical image analysis 7 (4), 475-488, 2003
Multiphysics and multiscale modelling, data–model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics
R Chabiniok, VY Wang, M Hadjicharalambous, L Asner, J Lee, ...
Interface focus 6 (2), 20150083, 2016
Application of soft tissue modelling to image-guided surgery
TJ Carter, M Sermesant, DM Cash, DC Barratt, C Tanner, DJ Hawkes
Medical engineering & physics 27 (10), 893-909, 2005
euHeart: personalized and integrated cardiac care using patient-specific cardiovascular modelling
N Smith, A de Vecchi, M McCormick, D Nordsletten, O Camara, AF Frangi, ...
Interface focus 1 (3), 349-364, 2011
Anisotropic filtering for model-based segmentation of 4D cylindrical echocardiographic images
J Montagnat, M Sermesant, H Delingette, G Malandain, N Ayache
Pattern Recognition Letters 24 (4-5), 815-828, 2003
In vivo human cardiac fibre architecture estimation using shape-based diffusion tensor processing
N Toussaint, CT Stoeck, T Schaeffter, S Kozerke, M Sermesant, ...
Medical image analysis 17 (8), 1243-1255, 2013
Coupled personalization of cardiac electrophysiology models for prediction of ischaemic ventricular tachycardia
J Relan, P Chinchapatnam, M Sermesant, K Rhode, M Ginks, ...
Interface focus 1 (3), 396-407, 2011
Efficient probabilistic model personalization integrating uncertainty on data and parameters: Application to eikonal-diffusion models in cardiac electrophysiology
E Konukoglu, J Relan, U Cilingir, BH Menze, P Chinchapatnam, A Jadidi, ...
Progress in biophysics and molecular biology 107 (1), 134-146, 2011
Measurement of total pulmonary arterial compliance using invasive pressure monitoring and MR flow quantification during MR-guided cardiac catheterization
V Muthurangu, D Atkinson, M Sermesant, ME Miquel, S Hegde, ...
American Journal of Physiology-Heart and Circulatory Physiology 289 (3 …, 2005
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