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Publications of year 2017

Books and proceedings

  1. Jorge Cardoso, Tal Arbel, Mert Sabuncu, Fletcher Tom, Li Shen, Stanley Durrleman, Stefan Sommer, Enzo Ferrante, Xavier Pennec, Dalca Adrian V., Sarah Parisot, Sarang Joshi, Nematollah Batmanghelich, Aristeidis Sotiras, and Mads Nielsen, editors. Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, volume 10551 of Lecture Notes in Computer Science, France, September 2017. Keyword(s): Data mining, Face recognition, Feature selection, Geometry, Image analysis, Image processing, Image reconstruction, Learning systems, Medical images, Medical imaging, Neural networks, Pattern recognition, Signal processing, Computer vision, Cluster analysis, Clustering algorithms, Artificial intelligence, Bayesian networks, Classification. [bibtex-entry]


  2. Mihaela Pop, Maxime Sermesant, Pierre-Marc Jodoin, Alain Lalande, Xiahai Zhuang, Guang Yang, Alistair Young, and Olivier Bernard, editors. Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, France, 2017. Springer. [bibtex-entry]


Thesis

  1. Thomas Demarcy. Segmentation and study of anatomical variability of the cochlea from medical images. Theses, Université Côte d'Azur, July 2017. Keyword(s): Shape model, Shape variability, Segmentation, Cochlea, Cochlée, Segmentation, Modèle de forme, Variabilité anatomique. [bibtex-entry]


  2. Loëc Devilliers. Consistency of statistics in infinite dimensional quotient spaces. Theses, Université Côte d'Azur, November 2017. Keyword(s): Quotient space, Template estimation, Frechet mean, Espace quotient, Estimation de template, Moyenne de Fréchet. [bibtex-entry]


  3. Sophie Giffard-Roisin. Non-invasive Personalisation of Cardiac Electrophysiological Models from Surface Electrograms. Theses, Université côte d'azur, December 2017. Keyword(s): ECG Imaging, Personalisation, Cardiac Electrophysiology Model, Machine learning, Simulated database, Inverse problem, Imagerie ECG, Personnalisation, Modèle electrophysiologique cardique, Apprentissage machine, Base de données simulée, Problème inverse. [bibtex-entry]


  4. Roch Mollero. Robust personalisation of 3D electromechanical cardiac models. Application to heterogeneous and longitudinal clinical databases. Theses, COMUE Université Côte d'Azur (2015 - 2019), December 2017. Keyword(s): Cardiax modelling, Parameter estimation, Multifidelity methods, Prior probabilities, Modélisation cardiaque, Estimation de paramètres, Méthodes multi-échelles, Probabilités a priori. [bibtex-entry]


  5. Marc-Michel Rohe. Reduced representation of segmentation and tracking in cardiac images for group-wise longitudinal analysis. Theses, Université Côte d'Azur, July 2017. Keyword(s): Medical image analysis, Non-rigid registration, Deep learning, Statistical model reduction, Longitudinal analysis, Analyse d'images médicales, Analyse longitudinale, Réduction statistique de modèle, Apprentissage profond, Recalage non-rigide. [bibtex-entry]


Articles in journal, book chapters

  1. Jan L. Bruse, Elena Cervi, Kristin Mcleod, Giovanni Biglino, Maxime Sermesant, Xavier Pennec, Andrew Taylor, Silvia Schievano, and Tain-yen Hsia. Looks Do Matter! Aortic Arch Shape After Hypoplastic Left Heart Syndrome Palliation Correlates With Cavopulmonary Outcomes. Annals of Thoracic Surgery, 103(2):645 - 654, February 2017. [bibtex-entry]


  2. Jan L. Bruse, Abbas Khushnood, Kristin Mcleod, Giovanni Biglino, Maxime Sermesant, Xavier Pennec, Andrew M. Taylor, Tain-yen Hsia, and Silvia Schievano. How successful is successful? Aortic arch shape after successful aortic coarctation repair correlates with left ventricular function. Journal of Thoracic and Cardiovascular Surgery, 153(2):418 - 427, February 2017. [bibtex-entry]


  3. Jan L. Bruse, Maria A. Zuluaga, Abbas Khushnood, Kristin Mcleod, Hopewell N. Ntsinjana, Tain-yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew M. Taylor, and Silvia Schievano. Detecting clinically meaningful shape clusters in medical image data: metrics analysis for hierarchical clustering applied to healthy and pathological aortic arches. IEEE Transactions on Biomedical Engineering, pp 1 - 13, February 2017. [bibtex-entry]


  4. Thomas Demarcy, Clair Vandersteen, Nicolas Guevara, Charles Raffaelli, Dan Gnansia, Nicholas Ayache, and Hervé Delingette. Automated analysis of human cochlea shape variability from segmented $\mu$CT images. Computerized Medical Imaging and Graphics, 59(July 2017):1 - 12, 2017. Keyword(s): cochlear implant, human cochlea, anatomy, shape variability, modiolar axis. [bibtex-entry]


  5. Loïc Devilliers, Stéphanie Allassonnière, Alain Trouvé, and Xavier Pennec. Inconsistency of template estimation by minimizing of the variance/pre-variance in the quotient space. Entropy, 19(6):article 288, June 2017. Keyword(s): quotient space, Fréchet mean, Hilbert space, deformable model, regularization, template estimation, inconsistency. [bibtex-entry]


  6. Loïc Devilliers, Stéphanie Allassonnière, Alain Trouvé, and Xavier Pennec. Template estimation in computational anatomy: Fréchet means in top and quotient spaces are not consistent. SIAM Journal on Imaging Sciences, 10(3):1139-1169, August 2017. Keyword(s): Fréchet mean, Hilbert space, quotient space, Template, manifold, empirical Fréchet mean, inconsistency, group action, consistency bias. [bibtex-entry]


  7. Sophie Giffard-Roisin, Thomas Jackson, Lauren Fovargue, Jack Lee, Hervé Delingette, Reza Razavi, Nicholas Ayache, and Maxime Sermesant. Non-Invasive Personalisation of a Cardiac Electrophysiology Model from Body Surface Potential Mapping. IEEE Transactions on Biomedical Engineering, 64(9):2206 - 2218, September 2017. Note: Selected for the TBME highlights, sept. 2017rlhttps://tbme.embs.org/2017/08/24/non-invasive-personalisation-cardiac-electrophysiology-model-body-surface-potential-mapping/. Keyword(s): ECG Imaging, Parameter estimation, In- verse Problem of ECG, Cardiac Electrophysiology, Personalisation. [bibtex-entry]


  8. Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, yulia Worbe, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, and Stanley Durrleman. A Bayesian Framework for Joint Morphometry of Surface and Curve meshes in Multi-Object Complexes. Medical Image Analysis, 35:458-474, January 2017. Keyword(s): complex, fiber bundle, morphometry, shape, Bayesian, varifolds, atlas, multi - object. [bibtex-entry]


  9. Bishesh Khanal, Nicholas Ayache, and Xavier Pennec. Simulating Longitudinal Brain MRIs with known Volume Changes and Realistic Variations in Image Intensity. Frontiers in Neuroscience, 11(Article 132):18, February 2017. Keyword(s): simulated database, biomechanical simulation, Neurodegeneration, biophysical modelling, synthetic images, synthetic. [bibtex-entry]


  10. Loïc Le Folgoc, Hervé Delingette, Antonio Criminisi, and Nicholas Ayache. Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacements. Medical Image Analysis, 36:79 - 97, February 2017. Keyword(s): Cardiac Imaging, Automatic Relevance Determination, Bayesian modelling, Sparse, Registration. [bibtex-entry]


  11. Marco Lorenzi, Maurizio Filippone, Giovanni Frisoni, Daniel C Alexander, and Sébastien Ourselin. Probabilistic disease progression modeling to characterize diagnostic uncertainty: application to staging and prediction in Alzheimer's disease. NeuroImage, October 2017. [bibtex-entry]


  12. Alex F. Mendelson, Maria A. Zuluaga, Marco Lorenzi, Brian F. Hutton, and Sébastien Ourselin. Selection bias in the reported performances of AD classification pipelines. Neuroimage-Clinical, 14:400 - 416, 2017. Keyword(s): Alzheimer's disease, Classification, Cross validation, Selection bias, Overfitting, ADNI. [bibtex-entry]


  13. Nina Miolane. Les maths de l'espace-temps qui décrivent et dépassent le cerveau. Interstices, February 2017. Keyword(s): anatomie cérébrale, anatomie numérique, modélisation mathématique, géométrie riemannienne, cortex visuel, neuroimagerie, image 3D, perception visuelle. [bibtex-entry]


  14. Nina Miolane, Susan Holmes, and Xavier Pennec. Template Shape Estimation: Correcting an Asymptotic Bias. SIAM Journal on Imaging Sciences, 10(2):808 - 844, 2017. Keyword(s): geometry, quotient space, manifold, template, bias, shape, consistency. [bibtex-entry]


  15. Roch Molléro, Xavier Pennec, Hervé Delingette, Alan Garny, Nicholas Ayache, and Maxime Sermesant. Multifidelity-CMA: a multifidelity approach for efficient personalisation of 3D cardiac electromechanical models. Biomechanics and Modeling in Mechanobiology, pp 1-16, September 2017. Keyword(s): Finite Element Mechanical modeling, Parameter Estimation, Reduced Model, Cardiac Electromechanical Modeling, Multi-fidelity Modeling. [bibtex-entry]


  16. Naiara Rodriguez-Florez, Jan L. Bruse, Alessandro Borghi, Herman Vercruysse, Juling Ong, Greg James, Xavier Pennec, David J. Dunaway, Owase Jeelani, and Silvia Schievano. Statistical shape modelling to aid surgical planning: associations between surgical parameters and head shapes following spring-assisted cranioplasty. International Journal of Computer Assisted Radiology and Surgery, pp 1-11, May 2017. [bibtex-entry]


  17. Sergio Sanchez-Martinez, Nicolas Duchateau, Tamas Erdei, Alan Fraser, Bart Bijnens, and Gemma Piella. Characterization of myocardial motion patterns by unsupervised multiple kernel learning. Medical Image Analysis, 35:70-82, 2017. Keyword(s): echocardiography, pattern analysis, multiple kernel learning, Myocardial motion. [bibtex-entry]


  18. Walther Schulze, Zhong Chen, Jatin Relan, Danila Potyagaylo, Martin W. Krueger, Rashed Karim, Manav Sohal, Anoop Shetty, yingliang Ma, Nicholas Ayache, Maxime Sermesant, Hervé Delingette, Julian Bostock, Reza Razavi, Kawal S. Rhode, and Christopher A. Rinaldi. ECG imaging of ventricular tachycardia: evaluation against simultaneous non-contact mapping and CMR-derived grey zone. Medical and Biological Engineering and Computing, 55(6):979 - 990, June 2017. Keyword(s): Clinical validation, Non-contact mapping, ECG imaging, Ventricular tachycardia, Inverse problem of ECG. [bibtex-entry]


  19. David Soto-Iglesias, Nicolas Duchateau, Constantine Butakoff, David Andreu, Juan Fernández-Armenta, Bart Bijnens, Antonio Berruezo, Marta Sitges, and Oscar Camara. Quantitative analysis of electro-anatomical maps: application to an experimental model of LBBB/CRT. IEEE Journal of Translational Engineering in Health and Medicine, 5:1900215, 2017. Keyword(s): electro - anatomical mapping system, quantitative pattern analysis, left bundle branch block, subject - specific 2D and 3D data representation, Cardiac resynchronization therapy, lead placement. [bibtex-entry]


  20. Zhiyu Tian and Chenyang Xu. Finiteness of fundamental groups. Compositio Mathematica, 153(02):257-273, February 2017. [bibtex-entry]


  21. Stéphanie Marchesseau, Simon Chatelin, and Hervé Delingette. Non linear Biomechanical Model of the Liver. In Yohan Payan and Jacques Ohayon, editors, Biomechanics of Living Organs, pages 602. Elsevier, June 2017. Keyword(s): Liver, Biomechanics, Rheology, Finite element method. [bibtex-entry]


  22. Stéphanie Marchesseau, Simon Chatelin, and Hervé Delingette. Nonlinear Biomechanical Model of the Liver. In Yohan Payan and Jacques Ohayon, editors, Biomechanics of Living Organs. Hyperelastic Constitutive Laws for Finite Element Modeling, pages 243 - 265. Elsevier, 2017. [bibtex-entry]


Conference articles

  1. Nicolas Cedilnik, Josselin Duchateau, Rémi Dubois, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. VT Scan: Towards an Efficient Pipeline from Computed Tomography Images to Ventricular Tachycardia Ablation. In Functional Imaging and Modelling of the Heart, Functional Imaging and Modelling of the Heart, Toronto, Canada, pages 271-279, June 2017. Springer International Publishing. Keyword(s): Electrophysiological modelling, Heart imaging, Ventricular tachycardia, Catheter ablation. [bibtex-entry]


  2. Loïc Devilliers, Xavier Pennec, and Stéphanie Allassonnière. Inconsistency of Template Estimation with the Fréchet mean in Quotient Space. In Information Processing in Medical Imaging. IPMI 2017., volume 10265 of LNCS, Boone, United States, pages 16-27, June 2017. Martin Styner and Marc Niethammer and Dinggang Shen and Stephen Aylward and Ipek Oguz and Hongtu Zhu. [bibtex-entry]


  3. Rubén Doste, David Soto-Iglesias, Gabriel Bernardino, Rafael Sebastian, Sophie Giffard-Roisin, Rocìo Cabrera-Lozoya, Maxime Sermesant, Antonio Berruezo, Damián Sánchez-Quintana, and Oscar Camara. A Rule-Based Method to Model Myocardial Fiber Orientation for Simulating Ventricular Outflow Tract Arrhythmias. In Lecture Notes in Computer Science, editor, Functional imaging and modelling of the heart 2017, volume 10263 of Functional imaging and modelling of the heart 2017 Proceedings, Toronto, Canada, June 2017. Keyword(s): Fiber orientation, Rule-based method, Electrophysiological simulations, Arrhythmias, Outflow tracts. [bibtex-entry]


  4. Sophie Giffard-Roisin, Hervé Delingette, Thomas Jackson, Lauren Fovargue, Jack Lee, Aldo Rinaldi, Nicholas Ayache, Reza Razavi, and Maxime Sermesant. Sparse Bayesian Non-linear Regression for Multiple Onsets Estimation in Non-invasive Cardiac Electrophysiology. In Mihaela Pop, editor, Functional imaging and modelling of the heart 2017, Functional imaging and modelling of the heart 2017, Toronto, Canada, pages 230-238, June 2017. Springer International Publishing. Note: Best paper award FIMH 2017, category: Electrophysiology. Keyword(s): ECG Imaging, Cardiac Electrophysiology, Relevance Vector Machine, Personalisation. [bibtex-entry]


  5. Shuman Jia, Claudia Camaioni, Marc-Michel Rohé, Pierre Jaïs, Xavier Pennec, Hubert Cochet, and Maxime Sermesant. Prediction of Post-Ablation Outcome in Atrial Fibrillation Using Shape Parameterization and Partial Least Squares Regression. In FIMH 2017 - International Conference on Functional Imaging and Modeling of the Heart, volume 10263 of Lecture Notes in Computer Science, Toronto, Canada, pages 314 - 321, June 2017. Keyword(s): atrial fibrillation, catheter ablation, post-ablation outcome, left atrial remodeling, statistical shape analysis, partial least squares, regression. [bibtex-entry]


  6. Julian Krebs, Tommaso Mansi, Hervé Delingette, Li Zhang, Florin C Ghesu, Shun Miao, Andreas Maier, Nicholas Ayache, Rui Liao, and Ali Kamen. Robust non-rigid registration through agent-based action learning. In Medical Image Computing and Computer Assisted Interventions (MICCAI), Medical Image Computing and Computer Assisted Intervention -- MICCAI 2017, Quebec, Canada, pages 344-352, September 2017. Springer International Publishing. Keyword(s): reinforcement learning, Image registration. [bibtex-entry]


  7. Eric Lluch, Rubén Doste, Sophie Giffard-Roisin, Alexandre This, Maxime Sermesant, Oscar Camara, Mathieu de Craene, and Hernán G Morales. Smoothed Particle Hydrodynamics for Electrophysiological Modeling: An Alternative to Finite Element Methods. In FIMH 2017 - 9th International Conference on Functional Imaging and Modelling of the Heart, volume 141 of Functional imaging and modelling of the heart 2017 Proceedings, Toronto, Canada, pages 333-343, June 2017. Springer International Publishing. Keyword(s): Meshless, FEM, Cardiac electrophysiology, SPH. [bibtex-entry]


  8. R azvan Valentin Marinescu, Arman Esaghi, Marco Lorenzi, Alexandra L. young, Neil P. Oxtoby, Sara Garbarino, Timothy J. Shakespeare, Sebastian Crutch, and Daniel C Alexander. A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images. In International Conference on Information Processing in Medical Imaging (IPMI), Boone, United States, July 2017. [bibtex-entry]


  9. Kristin Mcleod, Maxime Sermesant, and Xavier Pennec. Improving Understanding of Long-Term Cardiac Functional Remodelling via Cross-Sectional Analysis of Polyaffine Motion Parameters. In FIMH 2017 - 9th International Conference on Functional Imaging and Modeling of the Heart, volume 10263 of Lecture Notes in Computer Science, Toronto, Canada, pages 51 - 59, June 2017. Springer. [bibtex-entry]


  10. Pamela Moceri, Nicolas Duchateau, Delphine Baudouy, Elie-Dan Schouver, P Bouvier, S Leroy, P Cerboni, P Gibelin, Maxime Sermesant, and Emile Ferrari. Three-dimensional speckle tracking of the right ventricle : implications on survival. In Journées Européennes de la Société Française de Cardiologie, Paris, France, 2017. [bibtex-entry]


  11. P Moceri, M Sermesant, D Baudouy, E. Ferrari, and Nicolas Duchateau. 3D right ventricular strain: comparative analysis of Tetralogy of Fallot and atrial septal defect. In Euroecho-Imaging 2017 - Twenty-First Annual Meeting of the European Association of Echocardiography, Lisbon, Portugal, December 2017. [bibtex-entry]


  12. Roch Molléro, Hervé Delingette, Manasi Datar, Tobias Heimann, Jakob Hauser, Dilveer Panesar, Alexander Jones, Andrew Taylor, Marcus Kelm, Titus Kuehne, Marcello Chinali, Gabriele Rinelli, Nicholas Ayache, Xavier Pennec, and Maxime Sermesant. Longitudinal Analysis using Personalised 3D Cardiac Models with Population-Based Priors: Application to Paediatric Cardiomyopathies. In Medical Image Computing and Computer Assisted Intervention (MICCAI), Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2017, Québec City, Canada, pages 350-358, September 2017. Springer International Publishing. [bibtex-entry]


  13. Roch Molléro, Jakob Hauser, Xavier Pennec, Manasi Datar, Hervé Delingette, Alexander Jones, Nicholas Ayache, Tobias Heimann, and Maxime Sermesant. Longitudinal Parameter Estimation in 3D Electromechanical Models: Application to Cardiovascular Changes in Digestion. In FIMH 2017 - 9th international conference on Functional Imaging and Modeling of the Heart, Functional Imaging and Modelling of the Heart, Toronto, Canada, pages 432-440, June 2017. Springer International Publishing. [bibtex-entry]


  14. Xavier Pennec. Sample-limited L p Barycentric Subspace Analysis on Constant Curvature Spaces. In Geometric Sciences of Information (GSI 2017), Geometric Science of Information, Paris, France, pages 20-28, November 2017. Springer International Publishing. [bibtex-entry]


  15. Marc-Michel Rohé, Manasi Datar, Tobias Heimann, Maxime Sermesant, and Xavier Pennec. SVF-Net: Learning Deformable Image Registration Using Shape Matching. In MICCAI 2017 - the 20th International Conference on Medical Image Computing and Computer Assisted Intervention, Medical Image Computing and Computer Assisted Intervention -- MICCAI 2017, Québec, Canada, pages 266-274, September 2017. Springer International Publishing. Keyword(s): Deep Learning, Cardiac Imaging, Registration. [bibtex-entry]


  16. Marc-Michel Rohé, Maxime Sermesant, and Xavier Pennec. Automatic Multi-Atlas Segmentation of Myocardium with SVF-Net. In STACOM: Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, volume 10663 of LNCS, Québec, Canada, pages 170-177, September 2017. [bibtex-entry]


Patents, standards

  1. Hubert Cochet, Pierre Jaïs, and Maxime Sermesant. Méthode de segmentation d'une image tridimensionnelle pour la génération d'un modèle de paroi du myocarde pour la détection d'au moins une zone de circulation électrique singulière. FR1754107, France, May 2017. [bibtex-entry]


Miscellaneous

  1. Léo Guignard, Ulla-Maj Fiuza, Bruno Leggio, Emmanuel Faure, Julien Laussu, Lars Hufnagel, Grégoire Malandain, Christophe Godin, and Patrick Lemaire. Contact-dependent cell communications drive morphological invariance during ascidian embryogenesis, December 2017. Note: BioRxiv preprint first posted online Dec. 24, 2017; doi: http://dx.doi.org/10.1101/238741. The copyright holder for this preprint (which was not peer-reviewed) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license. [bibtex-entry]



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