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Publications of year 2015

Books and proceedings

  1. Nicholas Ayache. Des images médicales au patient numérique, Leçons inaugurales du Collège de France. Collège de France / Fayard, March 2015.
    @book{ayache:hal-01170613,
    TITLE = {{Des images m{\'e}dicales au patient num{\'e}rique}},
    AUTHOR = {Ayache, Nicholas},
    url-hal= {https://inria.hal.science/hal-01170613},
    PUBLISHER = {{Coll{\`e}ge de France / Fayard}},
    SERIES = {Le{\c c}ons inaugurales du Coll{\`e}ge de France},
    PAGES = {80},
    YEAR = {2015},
    MONTH = Mar,
    HAL_ID = {hal-01170613},
    HAL_VERSION = {v1},
    
    }
    


  2. Nikos Paragios, Jim Duncan, and Nicholas Ayache. Handbook of Biomedical Imaging: Methodologies and Clinical Research. Springer, 2015.
    @book{paragios:inria-00616178,
    TITLE = {{Handbook of Biomedical Imaging: Methodologies and Clinical Research}},
    AUTHOR = {Paragios, Nikos and Duncan, Jim and Ayache, Nicholas},
    url-hal= {https://inria.hal.science/inria-00616178},
    EDITOR = {Paragios and Nikos and Duncan and Jim and Ayache and Nicholas},
    PUBLISHER = {{Springer}},
    PAGES = {590},
    YEAR = {2015},
    DOI = {10.1007/978-0-387-09749-7},
    HAL_ID = {inria-00616178},
    HAL_VERSION = {v1},
    
    }
    


  3. Oscar Camara, Tommaso Mansi, Mihaela Pop, Kawal Rhode, Maxime Sermesant, and Alistair Young, editors. Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, volume 8896 of Lecture Notes in Computer Science, Boston, United States, 2015. Springer.
    @proceedings{camara:hal-01244233,
    TITLE = {{Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges}},
    AUTHOR = {Camara, Oscar and Mansi, Tommaso and Pop, Mihaela and Rhode, Kawal and Sermesant, Maxime and Young, Alistair},
    url-hal= {https://inria.hal.science/hal-01244233},
    BOOKTITLE = {{Statistical Atlases and Computational Models of the Heart}},
    ADDRESS = {Boston, United States},
    EDITOR = {Oscar Camara and Tommaso Mansi and Mihaela Pop and Kawal Rhode and Maxime Sermesant and Alistair Young},
    PUBLISHER = {{Springer}},
    SERIES = {Lecture Notes in Computer Science},
    VOLUME = {8896},
    PAGES = {296},
    YEAR = {2015},
    DOI = {10.1007/978-3-319-14678-2},
    HAL_ID = {hal-01244233},
    HAL_VERSION = {v1},
    
    }
    


  4. Stanley Durrleman, Thomas P. Fletcher, Guido Gerig, Marc Niethammer, and Xavier Pennec, editors. Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, volume 8682 of Lecture notes in computer science, Cambridge, United States, January 2015. Springer International Publishing.
    @proceedings{durrleman:hal-01114150,
    TITLE = {{Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data}},
    AUTHOR = {Durrleman, Stanley and Fletcher, Thomas P. and Gerig, Guido and Niethammer, Marc and Pennec, Xavier},
    url-hal= {https://inria.hal.science/hal-01114150},
    BOOKTITLE = {{STIA 2014 - Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data}},
    ADDRESS = {Cambridge, United States},
    EDITOR = {Durrleman, Stanley and Fletcher, Thomas P. and Gerig, Guido and Niethammer, Marc and Pennec, Xavier},
    PUBLISHER = {{Springer International Publishing}},
    SERIES = {Lecture notes in computer science},
    VOLUME = {8682},
    PAGES = {89},
    YEAR = {2015},
    MONTH = Jan,
    DOI = {10.1007/978-3-319-14905-9},
    HAL_ID = {hal-01114150},
    HAL_VERSION = {v1},
    
    }
    


  5. Pennec, Xavier, Joshi, Sarang, Nielsen, Mads, Fletcher, Thomas P., Durrleman, Stanley, Sommer, and Stefan, editors. Proceedings of the fifth international workshop on Mathematical Foundations of Computational Anatomy (MFCA 2015), Munich, Germany, August 2015.
    @proceedings{pennec:hal-01203812,
    TITLE = {{Proceedings of the fifth international workshop on Mathematical Foundations of Computational Anatomy (MFCA 2015)}},
    AUTHOR = {Pennec, Xavier and Joshi, Sarang and Nielsen, Mads and Fletcher, Thomas P. and Durrleman, Stanley and Sommer, Stefan},
    url-hal= {https://inria.hal.science/hal-01203812},
    BOOKTITLE = {{Mathematical Foundations of Computational Anatomy (MFCA 2015)}},
    ADDRESS = {Munich, Germany},
    EDITOR = {Pennec and Xavier and Joshi and Sarang and Nielsen and Mads and Fletcher and Thomas P. and Durrleman and Stanley and Sommer and Stefan},
    PAGES = {173},
    YEAR = {2015},
    MONTH = Aug,
    PDF = {https://inria.hal.science/hal-01203812/file/MFCA15_Proceedings.pdf},
    HAL_ID = {hal-01203812},
    HAL_VERSION = {v1},
    
    }
    


Thesis

  1. Chloé Audigier. Computational modeling of radiofrequency ablation for the planning and guidance of abdominal tumor treatment. Theses, Université Nice Sophia Antipolis, October 2015. Keyword(s): RFA Modeling, Liver, Patient-Specific, Heat transfer, Cellular necrosis, Computational fluid dynamics, Computer model, Lattice Boltzmann method, Parameter estimation, Pre-clinical study, Medical imaging, Modélisation d'ARF, Foie, Personnalisation, Diffusion de la chaleur, Nécrose cellulaire, Mécanique des fluides, Modèle informatique, Méthode de Lattice Boltzmann, Estimation de paramètres, Étude préclinique, Imagerie médicale.
    @phdthesis{audigier:tel-01256010,
    TITLE = {{Computational modeling of radiofrequency ablation for the planning and guidance of abdominal tumor treatment}},
    AUTHOR = {Audigier, Chlo{\'e}},
    url-hal= {https://theses.hal.science/tel-01256010},
    NUMBER = {2015NICE4071},
    SCHOOL = {{Universit{\'e} Nice Sophia Antipolis}},
    YEAR = {2015},
    MONTH = Oct,
    KEYWORDS = {RFA Modeling ; Liver ; Patient-Specific ; Heat transfer ; Cellular necrosis ; Computational fluid dynamics ; Computer model ; Lattice Boltzmann method ; Parameter estimation ; Pre-clinical study ; Medical imaging ; Mod{\'e}lisation d'ARF ; Foie ; Personnalisation ; Diffusion de la chaleur ; N{\'e}crose cellulaire ; M{\'e}canique des fluides ; Mod{\`e}le informatique ; M{\'e}thode de Lattice Boltzmann ; Estimation de param{\`e}tres ; {\'E}tude pr{\'e}clinique ; Imagerie m{\'e}dicale},
    TYPE = {Theses},
    PDF = {https://theses.hal.science/tel-01256010/file/2015NICE4071.pdf},
    HAL_ID = {tel-01256010},
    HAL_VERSION = {v1},
    
    }
    


  2. Thomas Benseghir. Topology Preserving Vascular Registration: Application to Percutaneous Coronary Intervention. Theses, Université de Nice-Sophia Antipolis, July 2015. Keyword(s): 3D/2D Registration, Coronary Arteries, Recalage 3D/2D, Artères Coronaires.
    @phdthesis{benseghir:tel-01235141,
    TITLE = {{Topology Preserving Vascular Registration: Application to Percutaneous Coronary Intervention}},
    AUTHOR = {Benseghir, Thomas},
    url-hal= {https://inria.hal.science/tel-01235141},
    SCHOOL = {{Universit{\'e} de Nice-Sophia Antipolis}},
    YEAR = {2015},
    MONTH = Jul,
    KEYWORDS = {3D/2D Registration ; Coronary Arteries ; Recalage 3D/2D ; Art{\`e}res Coronaires},
    TYPE = {Theses},
    PDF = {https://inria.hal.science/tel-01235141/file/ThesisManuscript_ThomasBenseghir.pdf},
    HAL_ID = {tel-01235141},
    HAL_VERSION = {v1},
    
    }
    


  3. Rocìo Cabrera Lozoya. Radiofrequency ablation planning for cardiac arrhythmia treatment using modeling and machine learning approaches. Theses, Université Nice Sophia Antipolis, September 2015. Keyword(s): Cardiac electrophysiology modeling, Intracardiac electrogram modeling, Machine learning, Radiofrequency ablation planning, Electroanatomical mapping, Local abnormal ventricular activities (LAVA), Modélisation de l'électrophysiologie cardiaque, Modélisation d'électrogrammes intracardiaques, Apprentissage automatique, Planification d'ablation par radiofréquence, Activités ventriculaires anormales locales LAVA.
    @phdthesis{cabreralozoya:tel-01206478,
    TITLE = {{Radiofrequency ablation planning for cardiac arrhythmia treatment using modeling and machine learning approaches}},
    AUTHOR = {Cabrera Lozoya, Roc{\'i}o},
    url-hal= {https://theses.hal.science/tel-01206478},
    NUMBER = {2015NICE4059},
    SCHOOL = {{Universit{\'e} Nice Sophia Antipolis}},
    YEAR = {2015},
    MONTH = Sep,
    KEYWORDS = {Cardiac electrophysiology modeling ; Intracardiac electrogram modeling ; Machine learning ; Radiofrequency ablation planning ; Electroanatomical mapping ; Local abnormal ventricular activities (LAVA) ; Mod{\'e}lisation de l'{\'e}lectrophysiologie cardiaque ; Mod{\'e}lisation d'{\'e}lectrogrammes intracardiaques ; Apprentissage automatique ; Planification d'ablation par radiofr{\'e}quence ; Activit{\'e}s ventriculaires anormales locales LAVA},
    TYPE = {Theses},
    PDF = {https://theses.hal.science/tel-01206478v2/file/2015NICE4059.pdf},
    HAL_ID = {tel-01206478},
    HAL_VERSION = {v2},
    
    }
    


  4. Nicolas Cordier. Multi-atlas patch-based segmentation and synthesis of brain tumor MR images. Theses, Université Nice Sophia Antipolis, December 2015. Keyword(s): Patch-based, Multi-atlas, Glioma, Segmentation, Probabilistic generative model, Medical image simulation, Modality synthesis, Appariement de blocs de voxels, Multi-atlas, Gliome, Segmentation, Modèle génératif probabiliste, Simulation d'image médicale, Synthèse de modalité.
    @phdthesis{cordier:tel-01237853,
    TITLE = {{Multi-atlas patch-based segmentation and synthesis of brain tumor MR images}},
    AUTHOR = {Cordier, Nicolas},
    url-hal= {https://theses.hal.science/tel-01237853},
    NUMBER = {2015NICE4111},
    SCHOOL = {{Universit{\'e} Nice Sophia Antipolis}},
    YEAR = {2015},
    MONTH = Dec,
    KEYWORDS = {Patch-based ; Multi-atlas ; Glioma ; Segmentation ; Probabilistic generative model ; Medical image simulation ; Modality synthesis ; Appariement de blocs de voxels ; Multi-atlas ; Gliome ; Segmentation ; Mod{\`e}le g{\'e}n{\'e}ratif probabiliste ; Simulation d'image m{\'e}dicale ; Synth{\`e}se de modalit{\'e}},
    TYPE = {Theses},
    PDF = {https://theses.hal.science/tel-01237853v2/file/2015NICE4111.pdf},
    HAL_ID = {tel-01237853},
    HAL_VERSION = {v2},
    
    }
    


  5. Vikash Gupta. Diffusion tensor imaging of the brain : towards quantitative clinical tools. Theses, Université Nice Sophia Antipolis, March 2015. Keyword(s): Clinical DTI, Multimodal brain atlas, Population based statistical analysis, HIV, DTI clinique, Super-résolution, Multimodales atlas du cerveau, Analyse statistique basée sur la population, VIH.
    @phdthesis{gupta:tel-01159964,
    TITLE = {{Diffusion tensor imaging of the brain : towards quantitative clinical tools}},
    AUTHOR = {Gupta, Vikash},
    url-hal= {https://theses.hal.science/tel-01159964},
    NUMBER = {2015NICE4007},
    SCHOOL = {{Universit{\'e} Nice Sophia Antipolis}},
    YEAR = {2015},
    MONTH = Mar,
    KEYWORDS = {Clinical DTI ; Multimodal brain atlas ; Population based statistical analysis ; HIV ; DTI clinique ; Super-r{\'e}solution ; Multimodales atlas du cerveau ; Analyse statistique bas{\'e}e sur la population ; VIH},
    TYPE = {Theses},
    PDF = {https://theses.hal.science/tel-01159964/file/2015NICE4007.pdf},
    HAL_ID = {tel-01159964},
    HAL_VERSION = {v1},
    
    }
    


  6. Loïc Le Folgoc. Statistical learning for image-based personalization of cardiac models. Theses, Université Nice Sophia Antipolis, November 2015. Keyword(s): Inverse problem, Cardiac motion tracking, Non-rigid registration, Structured sparse bayesian learning, Automatic relevance determination, Suivi de mouvement cardiaque, Problème inverse, Modélisation bayésienne parcimonieuse structurée, Recalage non-rigide, Détermination automatique, MCMC.
    @phdthesis{lefolgoc:tel-01316449,
    TITLE = {{Statistical learning for image-based personalization of cardiac models}},
    AUTHOR = {Le Folgoc, Lo{\"i}c},
    url-hal= {https://theses.hal.science/tel-01316449},
    NUMBER = {2015NICE4098},
    SCHOOL = {{Universit{\'e} Nice Sophia Antipolis}},
    YEAR = {2015},
    MONTH = Nov,
    KEYWORDS = {Inverse problem ; Cardiac motion tracking ; Non-rigid registration ; Structured sparse bayesian learning ; Automatic relevance determination ; Suivi de mouvement cardiaque ; Probl{\`e}me inverse ; Mod{\'e}lisation bay{\'e}sienne parcimonieuse structur{\'e}e ; Recalage non-rigide ; D{\'e}termination automatique ; MCMC},
    TYPE = {Theses},
    PDF = {https://theses.hal.science/tel-01316449/file/2015NICE4098.pdf},
    HAL_ID = {tel-01316449},
    HAL_VERSION = {v1},
    
    }
    


  7. Jan Margeta. Machine Learning for Simplifying the Use of Cardiac Image Databases. Theses, Ecole Nationale Supérieure des Mines de Paris, December 2015.
    @phdthesis{margeta:tel-01243340,
    TITLE = {{Machine Learning for Simplifying the Use of Cardiac Image Databases}},
    AUTHOR = {Margeta, Jan},
    NUMBER = {2015ENMP0055},
    SCHOOL = {{Ecole Nationale Sup{\'e}rieure des Mines de Paris}},
    YEAR = {2015},
    MONTH = Dec,
    TYPE = {Theses},
    url-hal= {https://pastel.archives-ouvertes.fr/tel-01243340},
    PDF = {https://pastel.archives-ouvertes.fr/tel-01243340v2/document},
    HAL_ID = {tel-01243340},
    HAL_VERSION = {v2},
    
    }
    


Articles in journal, book chapters

  1. Martino Alessandrini, Mathieu de Craene, Olivier Bernard, Sophie Giffard-Roisin, Pascal Allain, Juergen Weese, Eric Saloux, Hervé Delingette, Maxime Sermesant, and Jan d'Hooge. A Pipeline for the Generation of Realistic 3D Synthetic Echocardiographic Sequences: Methodology and Open-access Database.. IEEE Transactions on Medical Imaging, 34(7):1436-1451, 2015.
    @article{alessandrini:hal-01117490,
    TITLE = {{A Pipeline for the Generation of Realistic 3D Synthetic Echocardiographic Sequences: Methodology and Open-access Database.}},
    AUTHOR = {Alessandrini, Martino and de Craene, Mathieu and Bernard, Olivier and Giffard-Roisin, Sophie and Allain, Pascal and Weese, Juergen and Saloux, Eric and Delingette, Herv{\'e} and Sermesant, Maxime and d'Hooge, Jan},
    url-hal= {https://hal.science/hal-01117490},
    JOURNAL = {{IEEE Transactions on Medical Imaging}},
    PUBLISHER = {{Institute of Electrical and Electronics Engineers}},
    VOLUME = {34},
    NUMBER = {7},
    PAGES = {1436-1451},
    YEAR = {2015},
    DOI = {10.1109/TMI.2015.2396632},
    HAL_ID = {hal-01117490},
    HAL_VERSION = {v1},
    
    }
    


  2. A Amelot, E Stretton, Hervé Delingette, Nicholas Ayache, S Froelich, and E Mandonnet. Expert-validated CSF segmentation of MNI atlas enhances accuracy of virtual glioma growth patterns. Journal of Neuro-Oncology, 121(2):381-387, January 2015.
    @article{amelot:hal-01081410,
    TITLE = {{Expert-validated CSF segmentation of MNI atlas enhances accuracy of virtual glioma growth patterns}},
    AUTHOR = {Amelot, A and Stretton, E and Delingette, Herv{\'e} and Ayache, Nicholas and Froelich, S and Mandonnet, E},
    url-hal= {https://inria.hal.science/hal-01081410},
    JOURNAL = {{Journal of Neuro-Oncology}},
    PUBLISHER = {{Springer Verlag}},
    VOLUME = {121},
    NUMBER = {2},
    PAGES = {381-387},
    YEAR = {2015},
    MONTH = Jan,
    DOI = {10.1007/s11060-014-1645-5},
    PDF = {https://inria.hal.science/hal-01081410/file/BrainMask_Aymeric_figuresBack6%281%29.pdf},
    HAL_ID = {hal-01081410},
    HAL_VERSION = {v1},
    
    }
    


  3. Chloé Audigier, Tommaso Mansi, Hervé Delingette, Saikiran Rapaka, Viorel Mihalef, Daniel Carnegie, Emad Boctor, Michael Choti, Ali Kamen, Nicholas Ayache, and Dorin Comaniciu. Efficient Lattice Boltzmann Solver for Patient-Specific Radiofrequency Ablation of Hepatic Tumors. IEEE Transactions on Medical Imaging, 34(issue 7):p 1576-1589, 2015. Keyword(s): Radio Frequency ablation, Patient-Specific Simulation, Lattice Boltzmann Method, Heat Transfer, Computational Fluid Dynamics, Therapy Planning.
    @article{audigier:hal-01146319,
    TITLE = {{Efficient Lattice Boltzmann Solver for Patient-Specific Radiofrequency Ablation of Hepatic Tumors}},
    AUTHOR = {Audigier, Chlo{\'e} and Mansi, Tommaso and Delingette, Herv{\'e} and Rapaka, Saikiran and Mihalef, Viorel and Carnegie, Daniel and Boctor, Emad and Choti, Michael and Kamen, Ali and Ayache, Nicholas and Comaniciu, Dorin},
    url-hal= {https://inria.hal.science/hal-01146319},
    JOURNAL = {{IEEE Transactions on Medical Imaging}},
    PUBLISHER = {{Institute of Electrical and Electronics Engineers}},
    VOLUME = {34},
    NUMBER = {issue 7 },
    PAGES = {p 1576-1589},
    YEAR = {2015},
    DOI = {10.1109/TMI.2015.2406575},
    KEYWORDS = {Radio Frequency ablation ; Patient-Specific Simulation ; Lattice Boltzmann Method ; Heat Transfer ; Computational Fluid Dynamics ; Therapy Planning},
    PDF = {https://inria.hal.science/hal-01146319/file/2013-journal-paper.pdf},
    HAL_ID = {hal-01146319},
    HAL_VERSION = {v1},
    
    }
    


  4. Mariem Ben Abdallah, Jihene Malek, Ahmad Taher Azar, Philippe Montesinos, Hafedh Belmabrouk, Julio Esclarìn Monreal, and Karl Krissian. Automatic Extraction of Blood Vessels in the Retinal Vascular Tree Using Multiscale Medialness. International Journal of Biomedical Imaging, 2015:1-16, 2015. Keyword(s): Distance transform, similarity measures, contours.
    @article{benabdallah:hal-02112266,
    TITLE = {{Automatic Extraction of Blood Vessels in the Retinal Vascular Tree Using Multiscale Medialness}},
    AUTHOR = {Ben Abdallah, Mariem and Malek, Jihene and Azar, Ahmad Taher and Montesinos, Philippe and Belmabrouk, Hafedh and Esclar{\'i}n Monreal, Julio and Krissian, Karl},
    URL = {https://hal.archives-ouvertes.fr/hal-02112266},
    JOURNAL = {{International Journal of Biomedical Imaging}},
    PUBLISHER = {{Hindawi Publishing Corporation}},
    VOLUME = {2015},
    PAGES = {1-16},
    YEAR = {2015},
    DOI = {10.1155/2015/519024},
    KEYWORDS = {Distance transform ; similarity measures ; contours},
    PDF = {https://hal.archives-ouvertes.fr/hal-02112266/file/519024.pdf},
    HAL_ID = {hal-02112266},
    HAL_VERSION = {v1},
    
    }
    


  5. Thomas Benseghir, Grégoire Malandain, and Régis Vaillant. A tree-topology preserving pairing for 3D/2D registration. International Journal of Computer Assisted Radiology and Surgery, 10(6):913-923, 2015. Note: Information Processing in Computer-Assisted Interventions (IPCAI) 2015 Special Issue. Keyword(s): Registration, Tree, Coronary Arteries, X-ray, Navigation, Iterative Closest Curve.
    @article{benseghir:hal-01183573,
    TITLE = {{A tree-topology preserving pairing for 3D/2D registration}},
    AUTHOR = {Benseghir, Thomas and Malandain, Gr{\'e}goire and Vaillant, R{\'e}gis},
    url-hal= {https://inria.hal.science/hal-01183573},
    NOTE = {Information Processing in Computer-Assisted Interventions (IPCAI) 2015 Special Issue},
    JOURNAL = {{International Journal of Computer Assisted Radiology and Surgery}},
    PUBLISHER = {{Springer Verlag}},
    VOLUME = {10},
    NUMBER = {6},
    PAGES = {913-923},
    YEAR = {2015},
    DOI = {10.1007/s11548-015-1207-0},
    KEYWORDS = {Registration ; Tree ; Coronary Arteries ; X-ray ; Navigation ; Iterative Closest Curve},
    PDF = {https://inria.hal.science/hal-01183573/file/Article.pdf},
    HAL_ID = {hal-01183573},
    HAL_VERSION = {v1},
    
    }
    


  6. David M. Cash, Chris Frost, Leonardo O. Iheme, Devrim Ünay, Melek Kandemir, Jurgen Fripp, Olivier Salvado, Pierrick Bourgeat, Martin Reuter, Bruce Fischl, Marco Lorenzi, Giovanni B. Frisoni, Xavier Pennec, Ronald K. Pierson, Jeffrey L. Gunter, Matthew L. Senjem, Clifford R. Jack, Nicolas Guizard, Vladimir S. Fonov, D. Louis Collins, Marc Modat, Jorge M. Cardoso, Kelvin K. Leung, Hongzhi Wang, Sandhitsu R. Das, Paul A. Yushkevich, Ian B. Malone, Nick C. Fox, Jonathan M. Schott, and Sebastien Ourselin. Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge. NeuroImage, 123:149-164, December 2015.
    @article{cash:hal-01203573,
    TITLE = {{Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge}},
    AUTHOR = {Cash, David M. and Frost, Chris and Iheme, Leonardo O. and {\"U}nay, Devrim and Kandemir, Melek and Fripp, Jurgen and Salvado, Olivier and Bourgeat, Pierrick and Reuter, Martin and Fischl, Bruce and Lorenzi, Marco and Frisoni, Giovanni B. and Pennec, Xavier and Pierson, Ronald K. and Gunter, Jeffrey L. and Senjem, Matthew L. and Jack, Clifford R. and Guizard, Nicolas and Fonov, Vladimir S. and Collins, D. Louis and Modat, Marc and Cardoso, Jorge M. and Leung, Kelvin K. and Wang, Hongzhi and Das, Sandhitsu R. and Yushkevich, Paul A. and Malone, Ian B. and Fox, Nick C. and Schott, Jonathan M. and Ourselin, Sebastien},
    url-hal= {https://inria.hal.science/hal-01203573},
    JOURNAL = {{NeuroImage}},
    PUBLISHER = {{Elsevier}},
    VOLUME = {123},
    PAGES = {149--164},
    YEAR = {2015},
    MONTH = Dec,
    DOI = {10.1016/j.neuroimage.2015.07.087},
    PDF = {https://inria.hal.science/hal-01203573/file/NIMG_Challenge_Final.pdf},
    HAL_ID = {hal-01203573},
    HAL_VERSION = {v1},
    
    }
    


  7. Hubert Cochet, Arnaud Denis, Yuki Komatsu, Amir S. Jadidi, Tassadit Aït Ali, Frédéric Sacher, Nicolas Derval, Jatin Relan, Maxime Sermesant, Olivier Corneloup, Mélèze Hocini, Michel Haïssaguerre, François Laurent, Michel Montaudon, and Pierre Jaïs. Automated Quantification of Right Ventricular Fat at Contrast-enhanced Cardiac Multidetector CT in Arrhythmogenic Right Ventricular Cardiomyopathy. Radiology, 275(3):683-91, June 2015.
    @article{cochet:hal-01244219,
    TITLE = {{Automated Quantification of Right Ventricular Fat at Contrast-enhanced Cardiac Multidetector CT in Arrhythmogenic Right Ventricular Cardiomyopathy}},
    AUTHOR = {Cochet, Hubert and Denis, Arnaud and Komatsu, Yuki and Jadidi, Amir S. and A{\"i}t Ali, Tassadit and Sacher, Fr{\'e}d{\'e}ric and Derval, Nicolas and Relan, Jatin and Sermesant, Maxime and Corneloup, Olivier and Hocini, M{\'e}l{\`e}ze and Ha{\"i}ssaguerre, Michel and Laurent, Fran{\c c}ois and Montaudon, Michel and Ja{\"i}s, Pierre},
    url-hal= {https://inria.hal.science/hal-01244219},
    JOURNAL = {{Radiology}},
    PUBLISHER = {{Radiological Society of North America}},
    VOLUME = {275},
    NUMBER = {3},
    PAGES = {683-91},
    YEAR = {2015},
    MONTH = Jun,
    DOI = {10.1148/radiol.14141140},
    PDF = {https://inria.hal.science/hal-01244219/file/radiol.pdf},
    HAL_ID = {hal-01244219},
    HAL_VERSION = {v1},
    
    }
    


  8. Nicolas Cordier, Hervé Delingette, and Nicholas Ayache. A patch-based approach for the segmentation of pathologies: Application to glioma labelling. IEEE Transactions on Medical Imaging, 35(4):11, December 2015. Keyword(s): patch-based, multi-atlas, glioma, segmentation.
    @article{cordier:hal-01241480,
    TITLE = {{A patch-based approach for the segmentation of pathologies: Application to glioma labelling}},
    AUTHOR = {Cordier, Nicolas and Delingette, Herv{\'e} and Ayache, Nicholas},
    url-hal= {https://inria.hal.science/hal-01241480},
    JOURNAL = {{IEEE Transactions on Medical Imaging}},
    PUBLISHER = {{Institute of Electrical and Electronics Engineers}},
    VOLUME = {35},
    NUMBER = {4},
    PAGES = {11},
    YEAR = {2015},
    MONTH = Dec,
    DOI = {10.1109/TMI.2015.2508150},
    KEYWORDS = {patch-based ; multi-atlas ; glioma ; segmentation},
    PDF = {https://inria.hal.science/hal-01241480/file/Cordier-TMI-2015-preprint.pdf},
    HAL_ID = {hal-01241480},
    HAL_VERSION = {v1},
    
    }
    


  9. Marco Lorenzi, Nicholas Ayache, and Xavier Pennec. Regional flux analysis for discovering and quantifying anatomical changes: An application to the brain morphometry in Alzheimer's disease. NeuroImage, 115:224-234, July 2015.
    @article{lorenzi:hal-01145728,
    TITLE = {{Regional flux analysis for discovering and quantifying anatomical changes: An application to the brain morphometry in Alzheimer's disease}},
    AUTHOR = {Lorenzi, Marco and Ayache, Nicholas and Pennec, Xavier},
    url-hal= {https://inria.hal.science/hal-01145728},
    JOURNAL = {{NeuroImage}},
    PUBLISHER = {{Elsevier}},
    VOLUME = {115},
    PAGES = {224--234},
    YEAR = {2015},
    MONTH = Jul,
    DOI = {10.1016/j.neuroimage.2015.04.051},
    PDF = {https://inria.hal.science/hal-01145728/file/Paper_flux_2nd_version.pdf},
    HAL_ID = {hal-01145728},
    HAL_VERSION = {v1},
    
    }
    


  10. Marco Lorenzi, Xavier Pennec, Giovanni B. Frisoni, and Nicholas Ayache. Disentangling normal aging from Alzheimer's disease in structural magnetic resonance images. Neurobiology of Aging, 36:S42-S52, January 2015.
    @article{lorenzi:hal-01061017,
    TITLE = {{Disentangling normal aging from Alzheimer's disease in structural magnetic resonance images}},
    AUTHOR = {Lorenzi, Marco and Pennec, Xavier and Frisoni, Giovanni B. and Ayache, Nicholas},
    url-hal= {https://inria.hal.science/hal-01061017},
    JOURNAL = {{Neurobiology of Aging}},
    PUBLISHER = {{Elsevier}},
    VOLUME = {36},
    PAGES = {S42-S52},
    YEAR = {2015},
    MONTH = Jan,
    DOI = {10.1016/j.neurobiolaging.2014.07.046},
    PDF = {https://inria.hal.science/hal-01061017/file/Lorenzi-LongProjection-NBOA-Third.pdf},
    HAL_ID = {hal-01061017},
    HAL_VERSION = {v1},
    
    }
    


  11. Jan Margeta, Antonio Criminisi, Rocio Cabrera Lozoya, Daniel C. Lee, and Nicholas Ayache. Fine-tuned convolutional neural nets for cardiac MRI acquisition plane recognition. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, August 2015. Note: This is an electronic version of an article published inComputer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualizationon 13 August 2015, by Taylor & Francis, DOI: 10.1080/21681163.2015.1061448.Available online at: http://www.tandfonline.com/10.1080/21681163.2015.1061448. Keyword(s): Transfer learning, Fine-tuning, SSFP, Planes of acquisition, Machine learning, Cardiac magnetic resonance, Convolutional neural networks, Magnetic resonance, Cardiac imaging, Deep learning.
    @article{margeta:hal-01162880,
    TITLE = {{Fine-tuned convolutional neural nets for cardiac MRI acquisition plane recognition}},
    AUTHOR = {Margeta, Jan and Criminisi, Antonio and Cabrera Lozoya, Rocio and Lee, Daniel C. and Ayache, Nicholas},
    url-hal= {https://inria.hal.science/hal-01162880},
    NOTE = {This is an electronic version of an article published inComputer Methods in Biomechanics and Biomedical Engineering: Imaging \& Visualizationon 13 August 2015, by Taylor \& Francis, DOI: 10.1080/21681163.2015.1061448.Available online at: http://www.tandfonline.com/10.1080/21681163.2015.1061448.},
    JOURNAL = {{Computer Methods in Biomechanics and Biomedical Engineering: Imaging \& Visualization}},
    PUBLISHER = {{Taylor \& Francis}},
    YEAR = {2015},
    MONTH = Aug,
    DOI = {10.1080/21681163.2015.1061448},
    KEYWORDS = {Transfer learning ; Fine-tuning ; SSFP ; Planes of acquisition ; Machine learning ; Cardiac magnetic resonance ; Convolutional neural networks ; Magnetic resonance ; Cardiac imaging ; Deep learning},
    PDF = {https://inria.hal.science/hal-01162880v2/file/author_version.pdf},
    HAL_ID = {hal-01162880},
    HAL_VERSION = {v2},
    
    }
    


  12. Kristin Mcleod, Maxime Sermesant, Philipp Beerbaum, and Xavier Pennec. Spatio-Temporal Tensor Decomposition of a Polyaffine Motion Model for a Better Analysis of Pathological Left Ventricular Dynamics. IEEE Transactions on Medical Imaging, 34(7):1562-1675, July 2015. Keyword(s): cardiac modelling, atlas, non-rigid image registration, motion tracking, population statistics, tensor decomposition, spatio-temporal alignment, Tetralogy of Fallot.
    @article{mcleod:hal-01205342,
    TITLE = {{Spatio-Temporal Tensor Decomposition of a Polyaffine Motion Model for a Better Analysis of Pathological Left Ventricular Dynamics}},
    AUTHOR = {Mcleod, Kristin and Sermesant, Maxime and Beerbaum, Philipp and Pennec, Xavier},
    url-hal= {https://inria.hal.science/hal-01205342},
    JOURNAL = {{IEEE Transactions on Medical Imaging}},
    PUBLISHER = {{Institute of Electrical and Electronics Engineers}},
    VOLUME = {34},
    NUMBER = {7},
    PAGES = {1562--1675},
    YEAR = {2015},
    MONTH = Jul,
    DOI = {10.1109/TMI.2015.2405579},
    KEYWORDS = {cardiac modelling ; atlas ; non-rigid image registration ; motion tracking ; population statistics ; tensor decomposition ; spatio-temporal alignment ; Tetralogy of Fallot},
    PDF = {https://inria.hal.science/hal-01205342/file/McLeod_PolyaffineHeartMeanMotion.pdf},
    HAL_ID = {hal-01205342},
    HAL_VERSION = {v1},
    
    }
    


  13. Bjoern H Menze, Koen van Leemput, Danial Lashkari, Tammy Riklin-Raviv, Ezequiel Geremia, Esther Alberts, Philipp Gruber, Susanne Wegener, Marc-André Weber, Gabor Szekely, Nicholas Ayache, and Polina Golland. A generative probabilistic model and discriminative extensions for brain lesion segmentation -- with application to tumor and stroke. IEEE Transactions on Medical Imaging, November 2015.
    @article{menze:hal-01230846,
    TITLE = {{A generative probabilistic model and discriminative extensions for brain lesion segmentation -- with application to tumor and stroke}},
    AUTHOR = {Menze, Bjoern H and van Leemput, Koen and Lashkari, Danial and Riklin-Raviv, Tammy and Geremia, Ezequiel and Alberts, Esther and Gruber, Philipp and Wegener, Susanne and Weber, Marc-Andr{\'e} and Szekely, Gabor and Ayache, Nicholas and Golland, Polina},
    url-hal= {https://inria.hal.science/hal-01230846},
    JOURNAL = {{IEEE Transactions on Medical Imaging}},
    PUBLISHER = {{Institute of Electrical and Electronics Engineers}},
    YEAR = {2015},
    MONTH = Nov,
    PDF = {https://inria.hal.science/hal-01230846/file/manuscript.pdf},
    HAL_ID = {hal-01230846},
    HAL_VERSION = {v1},
    
    }
    


  14. Nina Miolane and Xavier Pennec. Computing Bi-Invariant Pseudo-Metrics on Lie Groups for Consistent Statistics. Entropy, 17(4):1850-1881, April 2015.
    @article{miolane:hal-01133922,
    TITLE = {{Computing Bi-Invariant Pseudo-Metrics on Lie Groups for Consistent Statistics}},
    AUTHOR = {Miolane, Nina and Pennec, Xavier},
    url-hal= {https://inria.hal.science/hal-01133922},
    JOURNAL = {{Entropy}},
    PUBLISHER = {{MDPI}},
    VOLUME = {17},
    NUMBER = {4},
    PAGES = {1850-1881},
    YEAR = {2015},
    MONTH = Apr,
    DOI = {10.3390/e17041850},
    PDF = {https://inria.hal.science/hal-01133922/file/entropy-17-01850.pdf},
    HAL_ID = {hal-01133922},
    HAL_VERSION = {v1},
    
    }
    


  15. Catalina Tobon-Gomez, Arjan J. Geers, Jochen Peters, Jürgen Weese, Karen Pinto, Rashed Karim, Mohammed Ammar, Abdelaziz Daoudi, Jan Margeta, Zulma Sandoval, Birgit Stender, Yefeng Zheng, Maria A Zuluaga, Julian Betancur, Nicholas Ayache, Mohammed Amine Chikh, Jean-Louis Dillenseger, Michael B. Kelm, Saïd Mahmoudi, Sébastien Ourselin, Alexander Schlaefer, Tobias Schaeffter, Reza Razavi, and Kawal S. Rhode. Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets. IEEE Transactions on Medical Imaging, 34(7):1460-1473, July 2015. Keyword(s): Benchmark testing, automatic segmentations, atrial fibrillation ablation guidance, anatomical regions, 3D CT datasets, Left Atrial Segmentation Challenge, left atrial surface, ground truth, image segmentation, LA appendage trunk, LASC, LA segmentation, left atrial anatomy, left atrium, Magnetic Resonance Imaging, Measurement, medical image processing, MRI datasets, multiple input data, physiological models, pulmonary vein proximal sections, region growing approach, Shape, standardisation framework, statistical analysis, statistical models, biomedical MRI, biophysical modelling, blood vessels, cardiovascular disease, cardiovascular system, Computed Tomography, computerised tomography, diseases, Educational institutions, electroanatomical mapping systems, evaluation code, fibrosis quantification.
    @article{tobongomez:hal-01260607,
    TITLE = {{Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets}},
    AUTHOR = {Tobon-Gomez, Catalina and Geers, Arjan J. and Peters, Jochen and Weese, J{\"u}rgen and Pinto, Karen and Karim, Rashed and Ammar, Mohammed and Daoudi, Abdelaziz and Margeta, Jan and Sandoval, Zulma and Stender, Birgit and Zheng, Yefeng and Zuluaga, Maria A and Betancur, Julian and Ayache, Nicholas and Amine Chikh, Mohammed and Dillenseger, Jean-Louis and Kelm, Michael B. and Mahmoudi, Sa{\"i}d and Ourselin, S{\'e}bastien and Schlaefer, Alexander and Schaeffter, Tobias and Razavi, Reza and Rhode, Kawal S.},
    url-hal= {https://univ-rennes.hal.science/hal-01260607},
    JOURNAL = {{IEEE Transactions on Medical Imaging}},
    PUBLISHER = {{Institute of Electrical and Electronics Engineers}},
    VOLUME = {34},
    NUMBER = {7},
    PAGES = {1460--1473},
    YEAR = {2015},
    MONTH = Jul,
    DOI = {10.1109/TMI.2015.2398818},
    KEYWORDS = {Benchmark testing ; automatic segmentations ; atrial fibrillation ablation guidance ; anatomical regions ; 3D CT datasets ; Left Atrial Segmentation Challenge ; left atrial surface ; ground truth ; image segmentation ; LA appendage trunk ; LASC ; LA segmentation ; left atrial anatomy ; left atrium ; Magnetic Resonance Imaging ; Measurement ; medical image processing ; MRI datasets ; multiple input data ; physiological models ; pulmonary vein proximal sections ; region growing approach ; Shape ; standardisation framework ; statistical analysis ; statistical models ; biomedical MRI ; biophysical modelling ; blood vessels ; cardiovascular disease ; cardiovascular system ; Computed Tomography ; computerised tomography ; diseases ; Educational institutions ; electroanatomical mapping systems ; evaluation code ; fibrosis quantification},
    PDF = {https://univ-rennes.hal.science/hal-01260607/file/2015_tobongomez_lasc.pdf},
    HAL_ID = {hal-01260607},
    HAL_VERSION = {v1},
    
    }
    


  16. Clair Vandersteen, Thomas Demarcy, Coralie Roger, Eric Fontas, Charles Raffaelli, Nicholas Ayache, Hervé Delingette, and Nicolas Guevara. Impact of the surgical experience on cochleostomy location: a comparative temporal bone study between endaural and posterior tympanotomy approaches for cochlear implantation. European Archives of Oto-Rhino-Laryngology, pp 1-7, 2015. Keyword(s): Cochlear implantation, Cochleostomy, Minimally invasive surgery, Endaural approach, Learning skills, Surgery resident, Compétences d'apprentissage, Voie endaurale, Chirurgie mini-invasive, Cochléostomie, Implantation cochléaire, Interne en chirurgie.
    @article{vandersteen:hal-01238195,
    TITLE = {{Impact of the surgical experience on cochleostomy location: a comparative temporal bone study between endaural and posterior tympanotomy approaches for cochlear implantation}},
    AUTHOR = {Vandersteen, Clair and Demarcy, Thomas and Roger, Coralie and Fontas, Eric and Raffaelli, Charles and Ayache, Nicholas and Delingette, Herv{\'e} and Guevara, Nicolas},
    url-hal= {https://inria.hal.science/hal-01238195},
    JOURNAL = {{European Archives of Oto-Rhino-Laryngology}},
    PUBLISHER = {{Springer Verlag}},
    PAGES = {1-7},
    YEAR = {2015},
    DOI = {10.1007/s00405-015-3792-5},
    KEYWORDS = {Cochlear implantation ; Cochleostomy ; Minimally invasive surgery ; Endaural approach ; Learning skills ; Surgery resident ; Comp{\'e}tences d'apprentissage ; Voie endaurale ; Chirurgie mini-invasive ; Cochl{\'e}ostomie ; Implantation cochl{\'e}aire ; Interne en chirurgie},
    PDF = {https://inria.hal.science/hal-01238195/file/PROOF.pdf},
    HAL_ID = {hal-01238195},
    HAL_VERSION = {v1},
    
    }
    


  17. Ken C.L. Wong, Maxime Sermesant, Kawal Rhode, Matthew Ginks, C. Aldo Rinaldi, Reza Razavi, Hervé Delingette, and Nicholas Ayache. Velocity-based cardiac contractility personalization from images using derivative-free optimization. Journal of the mechanical behavior of biomedical materials, 43:35-52, March 2015. Keyword(s): parameter estimation, model personalization, derivative-free optimization, Cardiac contractility, cardiac electromechanical model.
    @article{wong:hal-01095725,
    TITLE = {{Velocity-based cardiac contractility personalization from images using derivative-free optimization}},
    AUTHOR = {Wong, Ken C.L. and Sermesant, Maxime and Rhode, Kawal and Ginks, Matthew and Aldo Rinaldi, C. and Razavi, Reza and Delingette, Herv{\'e} and Ayache, Nicholas},
    url-hal= {https://inria.hal.science/hal-01095725},
    JOURNAL = {{Journal of the mechanical behavior of biomedical materials}},
    PUBLISHER = {{Elsevier}},
    VOLUME = {43},
    PAGES = {35-52},
    YEAR = {2015},
    MONTH = Mar,
    DOI = {10.1016/j.jmbbm.2014.12.002},
    KEYWORDS = {parameter estimation ; model personalization ; derivative-free optimization ; Cardiac contractility ; cardiac electromechanical model},
    PDF = {https://inria.hal.science/hal-01095725/file/ActiveSubplex_final.pdf},
    HAL_ID = {hal-01095725},
    HAL_VERSION = {v1},
    
    }
    


  18. Hervé Delingette and Nicholas Ayache. Building Patient-Specific Physical and Physiological Computational Models from Medical Images. In Paragios, Nikos, Duncan, Jim, Ayache, and Nicholas, editors, Handbook of Biomedical Imaging: Methodologies and Clinical Research, pages 169-182. Springer US, 2015.
    @incollection{delingette:hal-01250442,
    TITLE = {{Building Patient-Specific Physical and Physiological Computational Models from Medical Images}},
    AUTHOR = {Delingette, Herv{\'e} and Ayache, Nicholas},
    url-hal= {https://inria.hal.science/hal-01250442},
    BOOKTITLE = {{Handbook of Biomedical Imaging: Methodologies and Clinical Research}},
    EDITOR = {Paragios and Nikos and Duncan and Jim and Ayache and Nicholas},
    PUBLISHER = {{Springer US}},
    PAGES = {169-182},
    YEAR = {2015},
    DOI = {10.1007/978-0-387-09749-7\_9},
    HAL_ID = {hal-01250442},
    HAL_VERSION = {v1},
    
    }
    


  19. Xavier Pennec and Pierre Fillard. Statistical Computing on Non-Linear Spaces for Computational Anatomy. In Paragios, Nikos, Duncan, Jim, Ayache, and Nicholas, editors, Handbook of Biomedical Imaging: Methodologies and Clinical Research, pages 147-168. Springer, 2015.
    @incollection{pennec:inria-00616201,
    TITLE = {{Statistical Computing on Non-Linear Spaces for Computational Anatomy}},
    AUTHOR = {Pennec, Xavier and Fillard, Pierre},
    url-hal= {https://inria.hal.science/inria-00616201},
    BOOKTITLE = {{Handbook of Biomedical Imaging: Methodologies and Clinical Research}},
    EDITOR = {Paragios and Nikos and Duncan and Jim and Ayache and Nicholas},
    PUBLISHER = {{Springer}},
    PAGES = {147-168},
    YEAR = {2015},
    DOI = {10.1007/978-0-387-09749-7\_8},
    PDF = {https://inria.hal.science/inria-00616201/file/ComputationalAnatomy.pdf},
    HAL_ID = {inria-00616201},
    HAL_VERSION = {v1},
    
    }
    


Conference articles

  1. Martino Alessandrini, Adrian Basarab, Mathieu de Craene, Maxime Sermesant, Hervé Liebgott, Olivier Bernard, and Jan d'Hooge. The role of the image phase in cardiac strain imaging. In EUSIPCO 2015 - 23rd European Signal Processing Conference, Nice, France, pages 2796-2800, August 2015. IEEE. Keyword(s): Simulations, Medical imaging, Heart, Quality assurance, Echocardiography, MRI, Deformation imaging.
    @inproceedings{alessandrini:hal-01265886,
    TITLE = {{The role of the image phase in cardiac strain imaging}},
    AUTHOR = {Alessandrini, Martino and Basarab, Adrian and de Craene, Mathieu and Sermesant, Maxime and Liebgott, Herv{\'e} and Bernard, Olivier and d'Hooge, Jan},
    url-hal= {https://hal.science/hal-01265886},
    BOOKTITLE = {{EUSIPCO 2015 - 23rd European Signal Processing Conference}},
    ADDRESS = {Nice, France},
    PUBLISHER = {{IEEE}},
    PAGES = {2796-2800},
    YEAR = {2015},
    MONTH = Aug,
    DOI = {10.1109/EUSIPCO.2015.7362894},
    KEYWORDS = {Simulations ; Medical imaging ; Heart ; Quality assurance ; Echocardiography ; MRI ; Deformation imaging},
    PDF = {https://hal.science/hal-01265886v2/file/alessandrini_14906.pdf},
    HAL_ID = {hal-01265886},
    HAL_VERSION = {v2},
    
    }
    


  2. Martino Alessandrini, Brecht Heyde, Sophie Giffard-Roisin, Hervé Delingette, Maxime Sermesant, Pascal Allain, Olivier Bernard, Mathieu de Craene, and Jan d'Hooge. Generation of ultra-realistic synthetic echocardiographic sequences to facilitate standardization of deformation imaging. In International Symposium on BIOMEDICAL IMAGING: From Nano to Macro (ISBI 2015), New York, United States, pages 756-759, April 2015.
    @inproceedings{alessandrini:hal-01117557,
    TITLE = {{Generation of ultra-realistic synthetic echocardiographic sequences to facilitate standardization of deformation imaging}},
    AUTHOR = {Alessandrini, Martino and Heyde, Brecht and Giffard-Roisin, Sophie and Delingette, Herv{\'e} and Sermesant, Maxime and Allain, Pascal and Bernard, Olivier and de Craene, Mathieu and d'Hooge, Jan},
    url-hal= {https://hal.science/hal-01117557},
    BOOKTITLE = {{International Symposium on BIOMEDICAL IMAGING: From Nano to Macro (ISBI 2015)}},
    ADDRESS = {New York, United States},
    PAGES = {756-759},
    YEAR = {2015},
    MONTH = Apr,
    DOI = {10.1109/ISBI.2015.7163982},
    HAL_ID = {hal-01117557},
    HAL_VERSION = {v1},
    
    }
    


  3. Stéphanie Allassonnière, Loïc Devilliers, and Xavier Pennec. Estimating the Template in the Total Space with the Fréchet Mean on Quotient Spaces may have a Bias: a Case Study on Vector Spaces Quotiented by the Group of Translations. In Mathematical Foundations of Computational Anatomy (MFCA'15), Proceedings of the fifth international workshop on Mathematical Foundation sof Computational Anatomy (MFCA'15), Munich, Germany, pages 131-142, October 2015.
    @inproceedings{allassonniere:hal-01203816,
    TITLE = {{Estimating the Template in the Total Space with the Fr{\'e}chet Mean on Quotient Spaces may have a Bias: a Case Study on Vector Spaces Quotiented by the Group of Translations}},
    AUTHOR = {Allassonni{\`e}re, St{\'e}phanie and Devilliers, Lo{\"i}c and Pennec, Xavier},
    url-hal= {https://inria.hal.science/hal-01203816},
    BOOKTITLE = {{Mathematical Foundations of Computational Anatomy (MFCA'15)}},
    ADDRESS = {Munich, Germany},
    SERIES = {Proceedings of the fifth international workshop on Mathematical Foundation sof Computational Anatomy (MFCA'15)},
    PAGES = {131-142},
    YEAR = {2015},
    MONTH = Oct,
    PDF = {https://inria.hal.science/hal-01203816/file/MFCA15_4_1.pdf},
    HAL_ID = {hal-01203816},
    HAL_VERSION = {v1},
    
    }
    


  4. Chloé Audigier, Tommaso Mansi, Hervé Delingette, Saikiran Rapaka, Tiziano Passerini, Viorel Mihalef, Raoul Pop, Michele Diana, Luc Soler, Ali Kamen, Dorin Comaniciu, and Nicholas Ayache. Challenges to Validate Multi-physics Model of Liver Tumor Radiofrequency Ablation from Pre-clinical Data. In Computational Biomechanics for Medicine X, Munich, Germany, pages 29-40, October 2015.
    @inproceedings{audigier:hal-01184543,
    TITLE = {{Challenges to Validate Multi-physics Model of Liver Tumor Radiofrequency Ablation from Pre-clinical Data}},
    AUTHOR = {Audigier, Chlo{\'e} and Mansi, Tommaso and Delingette, Herv{\'e} and Rapaka, Saikiran and Passerini, Tiziano and Mihalef, Viorel and Pop, Raoul and Diana, Michele and Soler, Luc and Kamen, Ali and Comaniciu, Dorin and Ayache, Nicholas},
    url-hal= {https://inria.hal.science/hal-01184543},
    BOOKTITLE = {{Computational Biomechanics for Medicine X}},
    ADDRESS = {Munich, Germany},
    PAGES = {29-40},
    YEAR = {2015},
    MONTH = Oct,
    PDF = {https://inria.hal.science/hal-01184543/file/CBMX_2015_CHLOE_AUDIGIER-v2.pdf},
    HAL_ID = {hal-01184543},
    HAL_VERSION = {v1},
    
    }
    


  5. Héloïse Bleton, Jan Margeta, Herve Lombaert, Hervé Delingette, and Nicholas Ayache. Myocardial Infarct Localization using Neighborhood Approximation Forests. In Statistical Atlases and Computational Modeling of the Heart (STACOM 2015), Munich, Germany, October 2015. Keyword(s): Machine Learning, Neighbourhood Approximation Forests, myocardial infarction, wall thickness.
    @inproceedings{bleton:hal-01203579,
    TITLE = {{Myocardial Infarct Localization using Neighborhood Approximation Forests}},
    AUTHOR = {Bleton, H{\'e}lo{\"i}se and Margeta, Jan and Lombaert, Herve and Delingette, Herv{\'e} and Ayache, Nicholas},
    url-hal= {https://inria.hal.science/hal-01203579},
    BOOKTITLE = {{Statistical Atlases and Computational Modeling of the Heart (STACOM 2015)}},
    ADDRESS = {Munich, Germany},
    YEAR = {2015},
    MONTH = Oct,
    KEYWORDS = {Machine Learning ; Neighbourhood Approximation Forests ; myocardial infarction ; wall thickness},
    PDF = {https://inria.hal.science/hal-01203579/file/MICCAI-STACOM-Myocardial-Infarction-NAF.pdf},
    HAL_ID = {hal-01203579},
    HAL_VERSION = {v1},
    
    }
    


  6. Jan L. Bruse, Kristin Mcleod, Giovanni Biglino, Hopewell N. Ntsinjana, Claudio Capelli, Tain-Yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew Taylor, and Silvia Schievano. A Non-parametric Statistical Shape Model for Assessment of the Surgically Repaired Aortic Arch in Coarctation of the Aorta: How Normal is Abnormal?. In Statistical Atlases and Computational Modeling of the Heart (STACOM 2015), volume 9534 of Lecture Notes in Computer Science, Munich, Germany, October 2015. Springer.
    @inproceedings{bruse:hal-01205515,
    TITLE = {{A Non-parametric Statistical Shape Model for Assessment of the Surgically Repaired Aortic Arch in Coarctation of the Aorta: How Normal is Abnormal?}},
    AUTHOR = {Bruse, Jan L. and Mcleod, Kristin and Biglino, Giovanni and Ntsinjana, Hopewell N. and Capelli, Claudio and Hsia, Tain-Yen and Sermesant, Maxime and Pennec, Xavier and Taylor, Andrew and Schievano, Silvia},
    url-hal= {https://inria.hal.science/hal-01205515},
    BOOKTITLE = {{Statistical Atlases and Computational Modeling of the Heart (STACOM 2015)}},
    ADDRESS = {Munich, Germany},
    PUBLISHER = {{Springer}},
    SERIES = {Lecture Notes in Computer Science},
    VOLUME = {9534},
    YEAR = {2015},
    MONTH = Oct,
    DOI = {10.1007/978-3-319-28712-6\_3},
    PDF = {https://inria.hal.science/hal-01205515/file/Bruse_STACOM2015_04.pdf},
    HAL_ID = {hal-01205515},
    HAL_VERSION = {v1},
    
    }
    


  7. Hadrien Courtecuisse, Yinoussa Adagolodjo, Hervé Delingette, and Christian Duriez. Haptic Rendering of Hyperelastic Models with Friction. In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, pages 591-596, September 2015. IEEE.
    @inproceedings{courtecuisse:hal-01184113,
    TITLE = {{Haptic Rendering of Hyperelastic Models with Friction}},
    AUTHOR = {Courtecuisse, Hadrien and Adagolodjo, Yinoussa and Delingette, Herv{\'e} and Duriez, Christian},
    url-hal= {https://hal.science/hal-01184113},
    BOOKTITLE = {{2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}},
    ADDRESS = {Hamburg, Germany},
    PUBLISHER = {{IEEE}},
    PAGES = {591-596},
    YEAR = {2015},
    MONTH = Sep,
    DOI = {10.1109/IROS.2015.7353432},
    PDF = {https://hal.science/hal-01184113/file/IROS15_1122_FI.pdf},
    HAL_ID = {hal-01184113},
    HAL_VERSION = {v1},
    
    }
    


  8. Nicolas Duchateau, Nerea Mangado, Mario Ceresa, Pavel Mistrik, Sergio Vera, and Miguel Angel Gonzalez Ballester. Virtual cochlear electrode insertion via parallel transport frame. In Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, New York, France, pages 1398 - 1401, April 2015.
    @inproceedings{duchateau:hal-01207989,
    TITLE = {{Virtual cochlear electrode insertion via parallel transport frame}},
    AUTHOR = {Duchateau, Nicolas and Mangado, Nerea and Ceresa, Mario and Mistrik, Pavel and Vera, Sergio and Gonzalez Ballester, Miguel Angel},
    url-hal= {https://inria.hal.science/hal-01207989},
    BOOKTITLE = {{Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on}},
    ADDRESS = {New York, France},
    SERIES = {Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on},
    PAGES = {1398 - 1401},
    YEAR = {2015},
    MONTH = Apr,
    DOI = {10.1109/ISBI.2015.7164137},
    PDF = {https://inria.hal.science/hal-01207989/file/cDuchateau_ISBI_2015_FINALok.pdf},
    HAL_ID = {hal-01207989},
    HAL_VERSION = {v1},
    
    }
    


  9. Nicolas Duchateau and Maxime Sermesant. Prediction of infarct localization from myocardial deformation. In Statistical Atlases and Computational Modeling of the Heart (STACOM 2015), volume 9534 of Statistical Atlases and Computational Modeling of the Heart, Munich, Germany, October 2015.
    @inproceedings{duchateau:hal-01208019,
    TITLE = {{Prediction of infarct localization from myocardial deformation}},
    AUTHOR = {Duchateau, Nicolas and Sermesant, Maxime},
    url-hal= {https://inria.hal.science/hal-01208019},
    BOOKTITLE = {{Statistical Atlases and Computational Modeling of the Heart (STACOM 2015)}},
    ADDRESS = {Munich, Germany},
    SERIES = {Statistical Atlases and Computational Modeling of the Heart},
    VOLUME = {9534},
    NUMBER = {51-59},
    YEAR = {2015},
    MONTH = Oct,
    DOI = {10.1007/978-3-319-28712-6\_6},
    PDF = {https://inria.hal.science/hal-01208019v2/file/cDuchateau_STACOM_2015b-ok.pdf},
    HAL_ID = {hal-01208019},
    HAL_VERSION = {v2},
    
    }
    


  10. Nicolas Duchateau, Maxime Sermesant, Pierre Gibelin, Emile Ferrari, and Pamela Moceri. 3D regional right ventricular function in pulmonary hypertension. In EuroEcho-Imaging, volume 16 of European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congress., Seville, Spain, pages ii69, 2015.
    @inproceedings{duchateau:hal-01217956,
    TITLE = {{3D regional right ventricular function in pulmonary hypertension}},
    AUTHOR = {Duchateau, Nicolas and Sermesant, Maxime and Gibelin, Pierre and Ferrari, Emile and Moceri, Pamela},
    url-hal= {https://inria.hal.science/hal-01217956},
    BOOKTITLE = {{EuroEcho-Imaging}},
    ADDRESS = {Seville, Spain},
    SERIES = {European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congress.},
    VOLUME = {16},
    NUMBER = {S2},
    PAGES = {ii69},
    YEAR = {2015},
    DOI = {10.1093/ehjci/jev251},
    HAL_ID = {hal-01217956},
    HAL_VERSION = {v1},
    
    }
    


  11. Nicolas Duchateau, Mathieu de Craene, Damien Legallois, Fabien Labombarda, Arnaud Pellissier, Maxime Sermesant, and Eric Saloux. Statistical significance of 3D motion and deformation indexes for the analysis of LAD infarction. In EuroEcho-Imaging, volume 16 of European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congress, Seville, Spain, pages ii81, 2015.
    @inproceedings{duchateau:hal-01217963,
    TITLE = {{Statistical significance of 3D motion and deformation indexes for the analysis of LAD infarction}},
    AUTHOR = {Duchateau, Nicolas and de Craene, Mathieu and Legallois, Damien and Labombarda, Fabien and Pellissier, Arnaud and Sermesant, Maxime and Saloux, Eric},
    url-hal= {https://inria.hal.science/hal-01217963},
    BOOKTITLE = {{EuroEcho-Imaging}},
    ADDRESS = {Seville, Spain},
    SERIES = {European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congress},
    VOLUME = {16},
    NUMBER = {S2},
    PAGES = {ii81},
    YEAR = {2015},
    DOI = {10.1093/ehjci/jev278},
    HAL_ID = {hal-01217963},
    HAL_VERSION = {v1},
    
    }
    


  12. Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Alexandre Routier, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, and Stanley Durrleman. Joint Morphometry of Fiber Tracts and Gray Matter structures using Double Diffeomorphisms. In IPMI - Information Processing in Medical Imaging, volume 9123 of Lecture Notes in Computer Science, Isle of Skye, United Kingdom, pages 275-287, June 2015. Keyword(s): diffeomorphism, morphometry, atlas, structural connectivity, shape.
    @inproceedings{gori:hal-01142628,
    TITLE = {{Joint Morphometry of Fiber Tracts and Gray Matter structures using Double Diffeomorphisms}},
    AUTHOR = {Gori, Pietro and Colliot, Olivier and Marrakchi-Kacem, Linda and Worbe, Yulia and Routier, Alexandre and Poupon, Cyril and Hartmann, Andreas and Ayache, Nicholas and Durrleman, Stanley},
    url-hal= {https://hal.science/hal-01142628},
    BOOKTITLE = {{IPMI - Information Processing in Medical Imaging}},
    ADDRESS = {Isle of Skye, United Kingdom},
    SERIES = {Lecture Notes in Computer Science},
    VOLUME = {9123},
    PAGES = {275-287},
    YEAR = {2015},
    MONTH = Jun,
    DOI = {10.1007/978-3-319-19992-4\_21},
    KEYWORDS = {diffeomorphism ; morphometry ; atlas ; structural connectivity ; shape},
    PDF = {https://hal.science/hal-01142628/file/19.pdf},
    HAL_ID = {hal-01142628},
    HAL_VERSION = {v1},
    
    }
    


  13. Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Alexandre Routier, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, and Stanley Durrleman. Unified analysis of shape and structural connectivity of neural pathways. In Organisation for Human Brain Mapping, Honolulu, United States, 2015.
    @inproceedings{gori:hal-01187461,
    TITLE = {{Unified analysis of shape and structural connectivity of neural pathways}},
    AUTHOR = {Gori, Pietro and Colliot, Olivier and Marrakchi-Kacem, Linda and Worbe, Yulia and Routier, Alexandre and Poupon, Cyril and Hartmann, Andreas and Ayache, Nicholas and Durrleman, Stanley},
    url-hal= {https://hal.science/hal-01187461},
    BOOKTITLE = {{Organisation for Human Brain Mapping}},
    ADDRESS = {Honolulu, United States},
    YEAR = {2015},
    PDF = {https://hal.science/hal-01187461/file/OHBM2015_Gori.pdf},
    HAL_ID = {hal-01187461},
    HAL_VERSION = {v1},
    
    }
    


  14. Vikash Gupta, Grégoire Malandain, Nicholas Ayache, and Xavier Pennec. A framework for creating population specific multimodal brain atlas using clinical T1 and diffusion tensor images. In MICCAI 2015 Workshop on Computational Diffusion MRI (CDMRI'15), Computational Diffusion MRI, Munich, Germany, pages 99-108, October 2015. Keyword(s): Multimodal brain atlas, Probabilistic white matter parcel-lation map, HIV, DTI-T1 brain template.
    @inproceedings{gupta:hal-01261115,
    TITLE = {{A framework for creating population specific multimodal brain atlas using clinical T1 and diffusion tensor images}},
    AUTHOR = {Gupta, Vikash and Malandain, Gr{\'e}goire and Ayache, Nicholas and Pennec, Xavier},
    url-hal= {https://inria.hal.science/hal-01261115},
    BOOKTITLE = {{MICCAI 2015 Workshop on Computational Diffusion MRI (CDMRI'15)}},
    ADDRESS = {Munich, Germany},
    SERIES = {Computational Diffusion MRI},
    PAGES = {99-108},
    YEAR = {2015},
    MONTH = Oct,
    DOI = {10.1007/978-3-319-28588-7\_9},
    KEYWORDS = {Multimodal brain atlas ; Probabilistic white matter parcel-lation map ; HIV ; DTI-T1 brain template},
    PDF = {https://inria.hal.science/hal-01261115/file/Gupta_CDMRI_2015.pdf},
    HAL_ID = {hal-01261115},
    HAL_VERSION = {v1},
    
    }
    


  15. Bishesh Khanal, Marco Lorenzi, Nicholas Ayache, and Xavier Pennec. Simulating Patient Specific Multiple Time-point MRIs From a Biophysical Model of Brain Deformation in Alzheimer's Disease. In Workshop on Computational Biomechanics for Medicine - X, Computational Biomechanics for Medicine: Imaging, Modeling and Computing, Munich, France, pages 167-176, October 2015. Springer International Publishing. Keyword(s): biophysical modeling, Alzheimer's disease, biomechanical simulation, MRI, longitudinal MRI.
    @inproceedings{khanal:hal-01217080,
    TITLE = {{Simulating Patient Specific Multiple Time-point MRIs From a Biophysical Model of Brain Deformation in Alzheimer's Disease}},
    AUTHOR = {Khanal, Bishesh and Lorenzi, Marco and Ayache, Nicholas and Pennec, Xavier},
    url-hal= {https://inria.hal.science/hal-01217080},
    BOOKTITLE = {{Workshop on Computational Biomechanics for Medicine - X}},
    ADDRESS = {Munich, France},
    PUBLISHER = {{Springer International Publishing}},
    SERIES = {Computational Biomechanics for Medicine: Imaging, Modeling and Computing},
    PAGES = {167--176},
    YEAR = {2015},
    MONTH = Oct,
    DOI = {10.1007/978-3-319-28329-6\_15},
    KEYWORDS = {biophysical modeling ; Alzheimer's disease ; biomechanical simulation ; MRI ; longitudinal MRI},
    PDF = {https://inria.hal.science/hal-01217080/file/khanal2015_CBM.pdf},
    HAL_ID = {hal-01217080},
    HAL_VERSION = {v1},
    
    }
    


  16. Herve Lombaert, Michael Arcaro, and Nicholas Ayache. Brain Transfer: Spectral Analysis of Cortical Surfaces and Functional Maps. In Sebastien Ourselin, Daniel C. Alexander, Carl-Fredrik Westin, and M. Jorge Cardoso, editors, Information Processing in Medical Imaging (IPMI 2015), volume 9123 of Lecture Notes in Computer Science, Scotland, United Kingdom, pages 474-487, July 2015. Springer.
    @inproceedings{lombaert:hal-01203570,
    TITLE = {{Brain Transfer: Spectral Analysis of Cortical Surfaces and Functional Maps}},
    AUTHOR = {Lombaert, Herve and Arcaro, Michael and Ayache, Nicholas},
    url-hal= {https://inria.hal.science/hal-01203570},
    BOOKTITLE = {{Information Processing in Medical Imaging (IPMI 2015)}},
    ADDRESS = {Scotland, United Kingdom},
    EDITOR = {Sebastien Ourselin and Daniel C. Alexander and Carl-Fredrik Westin and M. Jorge Cardoso},
    PUBLISHER = {{Springer}},
    SERIES = { Lecture Notes in Computer Science},
    VOLUME = {9123},
    PAGES = {474-487},
    YEAR = {2015},
    MONTH = Jul,
    DOI = {10.1007/978-3-319-19992-4\_37},
    PDF = {https://inria.hal.science/hal-01203570/file/IPMI-BrainTransfer.pdf},
    HAL_ID = {hal-01203570},
    HAL_VERSION = {v1},
    
    }
    


  17. Herve Lombaert, Michael Arcaro, Sabine Kastner, and Nicholas Ayache. Brain Transfer for the Analysis of Cortical Data. In Society for Neuroscience (SfN), Chicago, United States, October 2015.
    @inproceedings{lombaert:hal-01203574,
    TITLE = {{Brain Transfer for the Analysis of Cortical Data}},
    AUTHOR = {Lombaert, Herve and Arcaro, Michael and Kastner, Sabine and Ayache, Nicholas},
    url-hal= {https://inria.hal.science/hal-01203574},
    BOOKTITLE = {{Society for Neuroscience (SfN)}},
    ADDRESS = {Chicago, United States},
    YEAR = {2015},
    MONTH = Oct,
    HAL_ID = {hal-01203574},
    HAL_VERSION = {v1},
    
    }
    


  18. Herve Lombaert, Antonio Criminisi, and Nicholas Ayache. Spectral Forests: Learning of Surface Data, Application to Cortical Parcellation. In Nassir Navab, Joachim Hornegger, William M. Wells, and Alejandro F. Frangi, editors, Medical Image Computingand Computer Assisted Intervention (MICCAI 2015), volume 9349 of Lecture Notes in Computer Science, Munich, Germany, pages 547-555, October 2015. Springer.
    @inproceedings{lombaert:hal-01203568,
    TITLE = {{Spectral Forests: Learning of Surface Data, Application to Cortical Parcellation}},
    AUTHOR = {Lombaert, Herve and Criminisi, Antonio and Ayache, Nicholas},
    url-hal= {https://inria.hal.science/hal-01203568},
    BOOKTITLE = {{Medical Image Computingand Computer Assisted Intervention (MICCAI 2015)}},
    ADDRESS = {Munich, Germany},
    EDITOR = {Nassir Navab and Joachim Hornegger and William M. Wells and Alejandro F. Frangi},
    PUBLISHER = {{Springer}},
    SERIES = {Lecture Notes in Computer Science},
    VOLUME = {9349},
    PAGES = {547-555},
    YEAR = {2015},
    MONTH = Oct,
    DOI = {10.1007/978-3-319-24553-9\_67},
    PDF = {https://inria.hal.science/hal-01203568/file/MICCAI-SpectralForests.pdf},
    HAL_ID = {hal-01203568},
    HAL_VERSION = {v1},
    
    }
    


  19. Matthieu Lê, Hervé Delingette, Jayashree Kalpathy-Cramer, Elizabeth R Gerstner, Tracy Batchelor, Jan Unkelbach, and Nicholas Ayache. Bayesian Personalization of Brain Tumor Growth Model. In Alejandro F. Frangi, Joachim Hornegger, Nassir Navab, and William M. Wells, editors, MICCAI - Medical Image Computing and Computer Assisted Intervention - 2015, volume 9350 of Lecture Notes in Computer Science - LNCS, Munich, Germany, pages 424-432, October 2015. Springer. Keyword(s): Glioma Modeling, Bayesian, Personalization.
    @inproceedings{le:hal-01155075,
    TITLE = {{Bayesian Personalization of Brain Tumor Growth Model}},
    AUTHOR = {L{\^e}, Matthieu and Delingette, Herv{\'e} and Kalpathy-Cramer, Jayashree and Gerstner, Elizabeth R and Batchelor, Tracy and Unkelbach, Jan and Ayache, Nicholas},
    url-hal= {https://hal.science/hal-01155075},
    BOOKTITLE = {{MICCAI - Medical Image Computing and Computer Assisted Intervention - 2015}},
    ADDRESS = {Munich, Germany},
    EDITOR = {Alejandro F. Frangi and Joachim Hornegger and Nassir Navab and William M. Wells},
    PUBLISHER = {{Springer}},
    SERIES = {Lecture Notes in Computer Science - LNCS},
    VOLUME = {9350},
    PAGES = {424-432},
    YEAR = {2015},
    MONTH = Oct,
    DOI = {10.1007/978-3-319-24571-3\_51},
    KEYWORDS = {Glioma Modeling ; Bayesian ; Personalization},
    PDF = {https://hal.science/hal-01155075v2/file/paper295.pdf},
    HAL_ID = {hal-01155075},
    HAL_VERSION = {v2},
    
    }
    


  20. Matthieu Lê, Jan Unkelbach, Nicholas Ayache, and Hervé Delingette. GPSSI: Gaussian Process for Sampling Segmentations of Images. In Alejandro F. Frangi, Joachim Hornegger, Nassir Navab, and William M. Wells, editors, MICCAI - Medical Image Computing and Computer Assisted Intervention - 2015, volume 9351 of Lecture Notes in Computer Science - LNCS, Munich, Germany, pages 38-46, October 2015. Springer. Keyword(s): Sampling, Gaussian process, Radiotherapy, Segmentation.
    @inproceedings{le:hal-01155078,
    TITLE = {{GPSSI: Gaussian Process for Sampling Segmentations of Images}},
    AUTHOR = {L{\^e}, Matthieu and Unkelbach, Jan and Ayache, Nicholas and Delingette, Herv{\'e}},
    url-hal= {https://hal.science/hal-01155078},
    BOOKTITLE = {{MICCAI - Medical Image Computing and Computer Assisted Intervention - 2015}},
    ADDRESS = {Munich, Germany},
    EDITOR = {Alejandro F. Frangi and Joachim Hornegger and Nassir Navab and William M. Wells},
    PUBLISHER = {{Springer}},
    SERIES = {Lecture Notes in Computer Science - LNCS},
    VOLUME = {9351},
    PAGES = {38-46},
    YEAR = {2015},
    MONTH = Oct,
    DOI = {10.1007/978-3-319-24574-4\_5},
    KEYWORDS = {Sampling ; Gaussian process ; Radiotherapy ; Segmentation},
    PDF = {https://hal.science/hal-01155078/file/paper435.pdf},
    HAL_ID = {hal-01155078},
    HAL_VERSION = {v1},
    
    }
    


  21. Jessie Mahé, Nicolas Linard, Marzieh Kohandani Tafreshi, Tom Vercauteren, Nicholas Ayache, Francois Lacombe, and Remi Cuingnet. Motion-Aware Mosaicing for Confocal Laser Endomicroscopy. In Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015, volume 9349, Munich, Germany, pages 447-454, October 2015.
    @inproceedings{mahe:hal-01208437,
    TITLE = {{Motion-Aware Mosaicing for Confocal Laser Endomicroscopy}},
    AUTHOR = {Mah{\'e}, Jessie and Linard, Nicolas and Kohandani Tafreshi, Marzieh and Vercauteren, Tom and Ayache, Nicholas and Lacombe, Francois and Cuingnet, Remi},
    url-hal= {https://inria.hal.science/hal-01208437},
    BOOKTITLE = {{Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015}},
    ADDRESS = {Munich, Germany},
    VOLUME = {9349},
    PAGES = {447-454},
    YEAR = {2015},
    MONTH = Oct,
    DOI = {10.1007/978-3-319-24553-9\_55},
    PDF = {https://inria.hal.science/hal-01208437/file/miccai2015_VideoMosaicing_cameraready.pdf},
    HAL_ID = {hal-01208437},
    HAL_VERSION = {v1},
    
    }
    


  22. Nerea Mangado, Mario Ceresa, Nicolas Duchateau, Hector Dejea, Hans Martin Kjer, Rasmus Paulsen, Sergio Vera, Pavel Mistrik, Javier Herrero, and Miguel Angel Gonzalez Ballester. Automatic generation of a computational model for monopolar stimulation of cochlear implants. In Computer Assisted Radiology and Surgery (CARS), volume 10 of International Journal of Computer Assisted Radiology and Surgery, Barcelona, Spain, pages S67-S68, 2015.
    @inproceedings{mangado:hal-01213341,
    TITLE = {{Automatic generation of a computational model for monopolar stimulation of cochlear implants}},
    AUTHOR = {Mangado, Nerea and Ceresa, Mario and Duchateau, Nicolas and Dejea, Hector and Kjer, Hans Martin and Paulsen, Rasmus and Vera, Sergio and Mistrik, Pavel and Herrero, Javier and Gonzalez Ballester, Miguel Angel},
    url-hal= {https://inria.hal.science/hal-01213341},
    BOOKTITLE = {{Computer Assisted Radiology and Surgery (CARS)}},
    ADDRESS = {Barcelona, Spain},
    SERIES = {International Journal of Computer Assisted Radiology and Surgery},
    VOLUME = {10},
    NUMBER = {S1},
    PAGES = {S67-S68},
    YEAR = {2015},
    DOI = {10.1007/s11548-015-1213-2},
    PDF = {https://inria.hal.science/hal-01213341/file/cMangado_CARS_2015-01ok.pdf},
    HAL_ID = {hal-01213341},
    HAL_VERSION = {v1},
    
    }
    


  23. Nerea Mangado, Nicolas Duchateau, Mario Ceresa, Hans Martin Kjer, Sergio Vera, Pavel Mistrik, Javier Herrero, and Miguel Angel Gonzalez Ballester. Patient-specific virtual insertion of electrode array for electrical simulation of cochlear implants. In Computer Assisted Radiology and Surgery (CARS), volume 10 of International Journal of Computer Assisted Radiology and Surgery, Barcelona, Spain, pages S102-S103, 2015.
    @inproceedings{mangado:hal-01213345,
    TITLE = {{Patient-specific virtual insertion of electrode array for electrical simulation of cochlear implants}},
    AUTHOR = {Mangado, Nerea and Duchateau, Nicolas and Ceresa, Mario and Kjer, Hans Martin and Vera, Sergio and Mistrik, Pavel and Herrero, Javier and Gonzalez Ballester, Miguel Angel},
    url-hal= {https://inria.hal.science/hal-01213345},
    BOOKTITLE = {{Computer Assisted Radiology and Surgery (CARS)}},
    ADDRESS = {Barcelona, Spain},
    SERIES = {International Journal of Computer Assisted Radiology and Surgery},
    VOLUME = {10},
    NUMBER = {S1},
    PAGES = {S102-S103},
    YEAR = {2015},
    DOI = {10.1007/s11548-015-1213-2},
    PDF = {https://inria.hal.science/hal-01213345/file/cMangado_CARS_2015-02ok.pdf},
    HAL_ID = {hal-01213345},
    HAL_VERSION = {v1},
    
    }
    


  24. Kristin Mcleod, Maxime Sermesant, Philipp Beerbaum, and Xavier Pennec. Descriptive and Intuitive Population-Based Cardiac Motion Analysis via Sparsity Constrained Tensor Decomposition. In Medical Image Computing and Computer Assisted Intervention (MICCAI 2015), volume 9351 of Lecture notes in computer science (LNCS), Munich, Germany, pages 419-426, October 2015.
    @inproceedings{mcleod:hal-01205535,
    TITLE = {{Descriptive and Intuitive Population-Based Cardiac Motion Analysis via Sparsity Constrained Tensor Decomposition}},
    AUTHOR = {Mcleod, Kristin and Sermesant, Maxime and Beerbaum, Philipp and Pennec, Xavier},
    url-hal= {https://inria.hal.science/hal-01205535},
    BOOKTITLE = {{Medical Image Computing and Computer Assisted Intervention (MICCAI 2015)}},
    ADDRESS = {Munich, Germany},
    SERIES = {Lecture notes in computer science (LNCS)},
    VOLUME = {9351},
    PAGES = {419-426},
    YEAR = {2015},
    MONTH = Oct,
    DOI = {10.1007/978-3-319-24574-4\_50},
    PDF = {https://inria.hal.science/hal-01205535/file/McLeod_CardiacMotionAnalysis_MICCAI2015.pdf},
    HAL_ID = {hal-01205535},
    HAL_VERSION = {v1},
    
    }
    


  25. Nina Miolane and Xavier Pennec. A survey of mathematical structures for extending 2D neurogeometry to 3D image processing. In MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data. MCV 2015., volume 9601 of LNCS, Munich, Germany, pages 155-167, October 2015. Keyword(s): sub-Riemannian geometry, Image processing, neurogeometry.
    @inproceedings{miolane:hal-01203518,
    TITLE = {{A survey of mathematical structures for extending 2D neurogeometry to 3D image processing}},
    AUTHOR = {Miolane, Nina and Pennec, Xavier},
    url-hal= {https://inria.hal.science/hal-01203518},
    BOOKTITLE = {{MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data. MCV 2015.}},
    ADDRESS = {Munich, Germany},
    SERIES = {LNCS},
    VOLUME = {9601},
    PAGES = {155-167},
    YEAR = {2015},
    MONTH = Oct,
    DOI = {10.1007/978-3-319-42016-5\_15},
    KEYWORDS = {sub-Riemannian geometry ; Image processing ; neurogeometry},
    PDF = {https://inria.hal.science/hal-01203518/file/Miolane_Pennec_MCV2015.pdf},
    HAL_ID = {hal-01203518},
    HAL_VERSION = {v1},
    
    }
    


  26. Nina Miolane and Xavier Pennec. Biased estimators on Quotient spaces. In Geometric Science of Information. Second International Conference, GSI 2015., volume 9389 of Lecture notes in computer science (LNCS), Palaiseau, France, pages 130-139, October 2015. Springer.
    @inproceedings{miolane:hal-01203805,
    TITLE = {{Biased estimators on Quotient spaces}},
    AUTHOR = {Miolane, Nina and Pennec, Xavier},
    url-hal= {https://inria.hal.science/hal-01203805},
    BOOKTITLE = {{Geometric Science of Information. Second International Conference, GSI 2015.}},
    ADDRESS = {Palaiseau, France},
    PUBLISHER = {{Springer}},
    SERIES = {Lecture notes in computer science (LNCS)},
    VOLUME = {9389},
    PAGES = {130-139},
    YEAR = {2015},
    MONTH = Oct,
    DOI = {10.1007/978-3-319-25040-3\_15},
    PDF = {https://inria.hal.science/hal-01203805/file/Miolane_Pennec_GSI2015.pdf},
    HAL_ID = {hal-01203805},
    HAL_VERSION = {v1},
    
    }
    


  27. Roch Molléro, Dominik Neumann, Marc-Michel Rohé, Manasi Datar, Herve Lombaert, Nicholas Ayache, Dorin Comaniciu, Olivier Ecabert, Marcello Chinali, Gabriele Rinelli, Xavier Pennec, Maxime Sermesant, and Tommaso Mansi. Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study. In Functional Imaging and Modeling of the Heart, LNCS., 8th International Conference, FIMH 2015, Maastricht, The Netherlands, June 25-27, 2015. Proceedings, Maastricht, Netherlands, pages 448-456, June 2015.
    @inproceedings{mollero:hal-01241896,
    TITLE = {{Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study}},
    AUTHOR = {Moll{\'e}ro, Roch and Neumann, Dominik and Roh{\'e}, Marc-Michel and Datar, Manasi and Lombaert, Herve and Ayache, Nicholas and Comaniciu, Dorin and Ecabert, Olivier and Chinali, Marcello and Rinelli, Gabriele and Pennec, Xavier and Sermesant, Maxime and Mansi, Tommaso},
    url-hal= {https://inria.hal.science/hal-01241896},
    BOOKTITLE = {{Functional Imaging and Modeling of the Heart, LNCS.}},
    ADDRESS = {Maastricht, Netherlands},
    SERIES = {8th International Conference, FIMH 2015, Maastricht, The Netherlands, June 25-27, 2015. Proceedings},
    PAGES = { 448-456},
    YEAR = {2015},
    MONTH = Jun,
    DOI = {10.1007/978-3-319-20309-6\_51},
    PDF = {https://inria.hal.science/hal-01241896/file/FIMH2015_UncertaintyPropagation_camera_ready.pdf},
    HAL_ID = {hal-01241896},
    HAL_VERSION = {v1},
    
    }
    


  28. Xavier Pennec. Barycentric Subspaces Analysis on Spheres. In Mathematical Foundation sof Computational Anatomy (MFCA'15), Proceedings of the fifth international workshop on Mathematical Foundation sof Computational Anatomy (MFCA'15), Munich, Germany, pages 71-82, October 2015.
    @inproceedings{pennec:hal-01203815,
    TITLE = {{Barycentric Subspaces Analysis on Spheres}},
    AUTHOR = {Pennec, Xavier},
    url-hal= {https://inria.hal.science/hal-01203815},
    BOOKTITLE = {{Mathematical Foundation sof Computational Anatomy (MFCA'15)}},
    ADDRESS = {Munich, Germany},
    SERIES = {Proceedings of the fifth international workshop on Mathematical Foundation sof Computational Anatomy (MFCA'15)},
    PAGES = {71-82},
    YEAR = {2015},
    MONTH = Oct,
    PDF = {https://inria.hal.science/hal-01203815/file/MFCA15_2_3.pdf},
    HAL_ID = {hal-01203815},
    HAL_VERSION = {v1},
    
    }
    


  29. Xavier Pennec. Barycentric Subspaces and Affine Spans in Manifolds. In Geometric Science of Information GSI'2015, Second International Conference, volume 9389 of Lecture Notes in Compuer Science, Palaiseau, France, pages 12-21, October 2015.
    @inproceedings{pennec:hal-01164463,
    TITLE = {{Barycentric Subspaces and Affine Spans in Manifolds}},
    AUTHOR = {Pennec, Xavier},
    url-hal= {https://inria.hal.science/hal-01164463},
    BOOKTITLE = {{Geometric Science of Information GSI'2015, Second International Conference}},
    ADDRESS = {Palaiseau, France},
    SERIES = {Lecture Notes in Compuer Science},
    VOLUME = {9389},
    PAGES = {12-21},
    YEAR = {2015},
    MONTH = Oct,
    DOI = {10.1007/978-3-319-25040-3\_2},
    PDF = {https://inria.hal.science/hal-01164463/file/Pennec_AffineSpan_GSI2015.pdf},
    HAL_ID = {hal-01164463},
    HAL_VERSION = {v1},
    
    }
    


  30. Marc-Michel Rohé, Nicolas Duchateau, Maxime Sermesant, and Xavier Pennec. Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct. In Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2015., volume 9534 of LNCS, Munich, Germany, pages 190-198, 2015. Springer. Keyword(s): Medical Imaging, Cardiac Motion, Machine Learning.
    @inproceedings{rohe:hal-01206710,
    TITLE = {{Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct}},
    AUTHOR = {Roh{\'e}, Marc-Michel and Duchateau, Nicolas and Sermesant, Maxime and Pennec, Xavier},
    url-hal= {https://inria.hal.science/hal-01206710},
    BOOKTITLE = {{Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2015.}},
    ADDRESS = {Munich, Germany},
    PUBLISHER = {{Springer}},
    SERIES = {LNCS},
    VOLUME = {9534},
    PAGES = {190-198},
    YEAR = {2015},
    KEYWORDS = {Medical Imaging ; Cardiac Motion ; Machine Learning},
    PDF = {https://inria.hal.science/hal-01206710/file/STACOM_2015_final.pdf},
    HAL_ID = {hal-01206710},
    HAL_VERSION = {v1},
    
    }
    


  31. Sergio Sanchez-Martinez, Nicolas Duchateau, Bart Bijnens, Tamás Erdei, Alan Fraser, and Gemma Piella. Characterization of myocardial motion by multiple kernel learning: application to heart failure with preserved ejection fraction. In 8th International Conference, FIMH 2015, Maastricht, The Netherlands, June 25-27, 2015. Proceedings, volume 9126 of Functional Imaging and Modeling of the Heart, LNCS, Maastricht, Netherlands, pages 65-73, 2015.
    @inproceedings{sanchezmartinez:hal-01208016,
    TITLE = {{Characterization of myocardial motion by multiple kernel learning: application to heart failure with preserved ejection fraction}},
    AUTHOR = {Sanchez-Martinez, Sergio and Duchateau, Nicolas and Bijnens, Bart and Erdei, Tam{\'a}s and Fraser, Alan and Piella, Gemma},
    url-hal= {https://inria.hal.science/hal-01208016},
    BOOKTITLE = {{8th International Conference, FIMH 2015, Maastricht, The Netherlands, June 25-27, 2015. Proceedings}},
    ADDRESS = {Maastricht, Netherlands},
    SERIES = {Functional Imaging and Modeling of the Heart, LNCS},
    VOLUME = {9126},
    PAGES = {65-73},
    YEAR = {2015},
    DOI = {10.1007/978-3-319-20309-6\_8},
    PDF = {https://inria.hal.science/hal-01208016/file/cSanchez_FIMH_2015_FINALok.pdf},
    HAL_ID = {hal-01208016},
    HAL_VERSION = {v1},
    
    }
    


  32. Sergio Sanchez-Martinez, Nicolas Duchateau, Tamás Erdei, Alan Fraser, Gemma Piella, and Bart Bijnens. Can machine learning help to identify heart failure with preserved ejection fraction?. In EuroEcho-Imaging, volume 16 of European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congress, Seville, Spain, pages ii38-9, 2015.
    @inproceedings{sanchezmartinez:hal-01217975,
    TITLE = {{Can machine learning help to identify heart failure with preserved ejection fraction?}},
    AUTHOR = {Sanchez-Martinez, Sergio and Duchateau, Nicolas and Erdei, Tam{\'a}s and Fraser, Alan and Piella, Gemma and Bijnens, Bart},
    url-hal= {https://inria.hal.science/hal-01217975},
    BOOKTITLE = {{EuroEcho-Imaging}},
    ADDRESS = {Seville, Spain},
    SERIES = {European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congress},
    VOLUME = {16},
    NUMBER = {S2},
    PAGES = {ii38-9},
    YEAR = {2015},
    DOI = {10.1093/ehjci/jev263},
    HAL_ID = {hal-01217975},
    HAL_VERSION = {v1},
    
    }
    


  33. Sergio Sanchez-Martinez, Nicolas Duchateau, Tamás Erdei, Alan Fraser, Gemma Piella, and Bart Bijnens. Quantifying the contribution of stress echocardiography to the diagnosis of heart failure with preserved ejection fraction. In EuroEcho-Imaging, volume 16 of European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congress, Seville, Spain, pages ii234, 2015.
    @inproceedings{sanchezmartinez:hal-01217993,
    TITLE = {{Quantifying the contribution of stress echocardiography to the diagnosis of heart failure with preserved ejection fraction}},
    AUTHOR = {Sanchez-Martinez, Sergio and Duchateau, Nicolas and Erdei, Tam{\'a}s and Fraser, Alan and Piella, Gemma and Bijnens, Bart},
    url-hal= {https://inria.hal.science/hal-01217993},
    BOOKTITLE = {{EuroEcho-Imaging}},
    ADDRESS = {Seville, Spain},
    SERIES = {European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congress},
    VOLUME = {16},
    NUMBER = {S2},
    PAGES = {ii234},
    YEAR = {2015},
    DOI = {10.1093/ehjci/jev271},
    HAL_ID = {hal-01217993},
    HAL_VERSION = {v1},
    
    }
    


  34. David Soto-Iglesias, Nicolas Duchateau, Constantine Butakoff, David Andreu, Juan Fernández-Armenta, Bart Bijnens, Antonio Berruezo, Marta Sitges, and Oscar Camara. Quantitative analysis of lead position vs. correction of electrical dyssynchrony in an experimental model of LBBB/CRT. In FIMH: Functional Imaging and Modeling of the Heart, volume LNCS of Functional Imaging and Modeling of the Heart, Maastricht, Netherlands, pages 74-82, June 2015.
    @inproceedings{sotoiglesias:hal-01208006,
    TITLE = {{Quantitative analysis of lead position vs. correction of electrical dyssynchrony in an experimental model of LBBB/CRT}},
    AUTHOR = {Soto-Iglesias, David and Duchateau, Nicolas and Butakoff, Constantine and Andreu, David and Fern{\'a}ndez-Armenta, Juan and Bijnens, Bart and Berruezo, Antonio and Sitges, Marta and Camara, Oscar},
    url-hal= {https://inria.hal.science/hal-01208006},
    BOOKTITLE = {{FIMH: Functional Imaging and Modeling of the Heart}},
    ADDRESS = {Maastricht, Netherlands},
    SERIES = {Functional Imaging and Modeling of the Heart},
    VOLUME = {LNCS},
    NUMBER = {9126},
    PAGES = {74-82},
    YEAR = {2015},
    MONTH = Jun,
    DOI = {10.1007/978-3-319-20309-6\_9},
    PDF = {https://inria.hal.science/hal-01208006/file/cSoto_FIMH_2015_FINALok.pdf},
    HAL_ID = {hal-01208006},
    HAL_VERSION = {v1},
    
    }
    


  35. Hugo Talbot, Stephane Cotin, Reza Razavi, Christopher Rinaldi, and Hervé Delingette. Personalization of Cardiac Electrophysiology Model using the Unscented Kalman Filtering. In Computer Assisted Radiology and Surgery (CARS 2015), Barcelona, Spain, June 2015.
    @inproceedings{talbot:hal-01195719,
    TITLE = {{Personalization of Cardiac Electrophysiology Model using the Unscented Kalman Filtering}},
    AUTHOR = {Talbot, Hugo and Cotin, Stephane and Razavi, Reza and Rinaldi, Christopher and Delingette, Herv{\'e}},
    url-hal= {https://inria.hal.science/hal-01195719},
    BOOKTITLE = {{Computer Assisted Radiology and Surgery (CARS 2015)}},
    ADDRESS = {Barcelona, Spain},
    YEAR = {2015},
    MONTH = Jun,
    PDF = {https://inria.hal.science/hal-01195719/file/CARS2015-HTalbot.pdf},
    HAL_ID = {hal-01195719},
    HAL_VERSION = {v1},
    
    }
    


  36. Hugo Talbot, Nazim Haouchine, Igor Peterlik, Jeremie Dequidt, Christian Duriez, Hervé Delingette, and Stephane Cotin. Surgery Training, Planning and Guidance Using the SOFA Framework. In Eurographics, Zurich, Switzerland, May 2015.
    @inproceedings{talbot:hal-01160297,
    TITLE = {{Surgery Training, Planning and Guidance Using the SOFA Framework}},
    AUTHOR = {Talbot, Hugo and Haouchine, Nazim and Peterlik, Igor and Dequidt, Jeremie and Duriez, Christian and Delingette, Herv{\'e} and Cotin, Stephane},
    url-hal= {https://inria.hal.science/hal-01160297},
    BOOKTITLE = {{Eurographics}},
    ADDRESS = {Zurich, Switzerland},
    YEAR = {2015},
    MONTH = May,
    PDF = {https://inria.hal.science/hal-01160297/file/Sofa-EG2015.pdf},
    HAL_ID = {hal-01160297},
    HAL_VERSION = {v1},
    
    }
    


  37. Anant S. Vemuri, Stéphane Nicolau, Jacques Marescaux, Luc Soler, and Nicholas Ayache. Automatic View-Point Selection for Inter-Operative Endoscopic Surveillance. In Medical Content-based Retrieval for Clinical Decision Support, Munich, Germany, pages 1-8, October 2015. Tanveer Syeda-Mahmood and Hayit Greenspan and Anant Madabhushi. Keyword(s): Computer assisted intervention, Endoscopic Image classification, Endoluminal surgery, Barrett's Oesophagus.
    @inproceedings{vemuri:hal-01203463,
    TITLE = {{Automatic View-Point Selection for Inter-Operative Endoscopic Surveillance}},
    AUTHOR = {Vemuri, Anant S. and Nicolau, St{\'e}phane and Marescaux, Jacques and Soler, Luc and Ayache, Nicholas},
    url-hal= {https://inria.hal.science/hal-01203463},
    BOOKTITLE = {{Medical Content-based Retrieval for Clinical Decision Support}},
    ADDRESS = {Munich, Germany},
    ORGANIZATION = {{Tanveer Syeda-Mahmood and Hayit Greenspan and Anant Madabhushi}},
    PAGES = {1-8},
    YEAR = {2015},
    MONTH = Oct,
    KEYWORDS = {Computer assisted intervention ; Endoscopic Image classification ; Endoluminal surgery ; Barrett's Oesophagus},
    PDF = {https://inria.hal.science/hal-01203463/file/anant_MCBR_2015_compressed.pdf},
    HAL_ID = {hal-01203463},
    HAL_VERSION = {v1},
    
    }
    


Internal reports

  1. Marine Breuilly, Kaouthar Chatti, Jacques Darcourt, Philippe Franken, Julien Guglielmi, Grégoire Malandain, and Thierry Pourcher. From extraction of physiological features with dynamic $\mu$-SPECT imaging to modelling of iodide biodistribution in stomach. Research Report, Inria Sophia Antipolis, August 2015.
    @techreport{breuilly:hal-01186222,
    TITLE = {{From extraction of physiological features with dynamic $\mu$-SPECT imaging to modelling of iodide biodistribution in stomach}},
    AUTHOR = {Breuilly, Marine and Chatti, Kaouthar and Darcourt, Jacques and Franken, Philippe and Guglielmi, Julien and Malandain, Gr{\'e}goire and Pourcher, Thierry},
    url-hal= {https://inria.hal.science/hal-01186222},
    TYPE = {Research Report},
    INSTITUTION = {{Inria Sophia Antipolis}},
    YEAR = {2015},
    MONTH = Aug,
    PDF = {https://inria.hal.science/hal-01186222v2/file/BREUILLY_RR_201508.pdf},
    HAL_ID = {hal-01186222},
    HAL_VERSION = {v2},
    
    }
    


Patents, standards

  1. Chloé Audigier, Tommaso Mansi, Saikiran Rapaka, Ali Kamen, Viorel Mihalef, Hervé Delingette, Nicholas Ayache, and Dorin Comaniciu. System and method for personalized computation of tissue ablation extent based on medical images. US 2015/0242588 A1, United States, August 2015.
    @patent{audigier:hal-01253687,
    TITLE = {{System and method for personalized computation of tissue ablation extent based on medical images}},
    AUTHOR = {Audigier, Chlo{\'e} and Mansi, Tommaso and Rapaka, Saikiran and Kamen, Ali and Mihalef, Viorel and Delingette, Herv{\'e} and Ayache, Nicholas and Comaniciu, Dorin},
    url-hal= {https://inria.hal.science/hal-01253687},
    NUMBER = {US 2015/0242588 A1},
    ADDRESS = {United States},
    YEAR = {2015},
    MONTH = Aug,
    HAL_ID = {hal-01253687},
    HAL_VERSION = {v1},
    
    }
    


  2. Natasha Lepore, Fernando Ypes-Calderon, Yalin Wang, Paul M. Thompson, Xavier Pennec, Marvin D. Nelson, Caroline Brun, and Wayne L. Tang. Magnetic resonance imaging tool to detect clinical difference in brain anatomy. WO/2015/017582, International Application PCT/US2014/048973, United States, February 2015.
    @patent{lepore:hal-01203798,
    TITLE = {{Magnetic resonance imaging tool to detect clinical difference in brain anatomy}},
    AUTHOR = {Lepore, Natasha and Ypes-Calderon, Fernando and Wang, Yalin and Thompson, Paul M. and Pennec, Xavier and Nelson, Marvin D. and Brun, Caroline and Tang, Wayne L.},
    url-hal= {https://inria.hal.science/hal-01203798},
    NUMBER = {WO/2015/017582, International Application PCT/US2014/048973},
    ADDRESS = {United States},
    YEAR = {2015},
    MONTH = Feb,
    HAL_ID = {hal-01203798},
    HAL_VERSION = {v1},
    
    }
    



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