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Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

Articles in International Peer-Reviewed Journals

  • 7M. Alessandrini, B. Heyde, S. Queirós, S. Cygan, M. Zontak, O. Somphone, O. Bernard, M. Sermesant, H. Delingette, D. Barbosa, M. De Craene, M. O'Donnell, J. D'Hooge.

    Detailed Evaluation of Five 3D Speckle Tracking Algorithms Using Synthetic Echocardiographic Recordings, in: IEEE Transactions on Medical Imaging, 2016, vol. 35, no 8, pp. 1915-1926. [ DOI : 10.1109/TMI.2016.2537848 ]

    https://hal.archives-ouvertes.fr/hal-01373083
  • 8C. Audigier, T. Mansi, H. Delingette, S. Rapaka, T. Passerini, V. Mihalef, M.-P. Jolly, R. Pop, M. Diana, L. Soler, A. Kamen, D. Comaniciu, N. Ayache.

    Comprehensive Pre-Clinical Evaluation of a Multi-physics Model of Liver Tumor Radiofrequency Ablation, in: International Journal of Computer Assisted Radiology and Surgery, December 2016.

    https://hal.inria.fr/hal-01423321
  • 9N. Ayache.

    Medical Imaging Informatics: Towards a Personalized Computational Patient, in: IMIA Yearbook of Medical Informatics, 2016, vol. 25, no Suppl. 1, pp. S8-S9. [ DOI : 10.15265/IYS-2016-s002 ]

    https://hal.inria.fr/hal-01320985
  • 10N. Ayache, J. Duncan.

    20th anniversary of the medical image analysis journal (MedIA), in: Medical Image Analysis, October 2016, vol. 33, pp. 1-3. [ DOI : 10.1016/j.media.2016.07.004 ]

    https://hal.inria.fr/hal-01353697
  • 11J. L. Bruse, E. Cervi, K. Mcleod, G. Biglino, M. Sermesant, X. Pennec, A. M. Taylor, S. Schievano, T.-Y. Hsia.

    Looks Do Matter! Aortic Arch Shape After Hypoplastic Left Heart Syndrome Palliation Correlates With Cavopulmonary Outcomes, in: The Annals of Thoracic Surgery, September 2016, pp. S0003-4975(16)30748-2. [ DOI : 10.1016/j.athoracsur.2016.06.041 ]

    https://hal.inria.fr/hal-01421202
  • 12J. L. Bruse, A. Khushnood, K. Mcleod, G. Biglino, M. Sermesant, X. Pennec, A. M. Taylor, T.-Y. Hsia, S. Schievano.

    How successful is successful? Aortic arch shape after successful aortic coarctation repair correlates with left ventricular function, in: The Journal of Thoracic and Cardiovascular Surgery, October 2016. [ DOI : 10.1016/j.jtcvs.2016.09.018 ]

    https://hal.inria.fr/hal-01387297
  • 13J. L. Bruse, K. Mcleod, G. Biglino, H. N. Ntsinjana, C. Capelli, T.-Y. Hsia, M. Sermesant, X. Pennec, A. M. Taylor, S. Schievano.

    A statistical shape modelling framework to extract 3D shape biomarkers from medical imaging data: assessing arch morphology of repaired coarctation of the aorta, in: BMC Medical Imaging, May 2016, vol. 16, no 1. [ DOI : 10.1186/s12880-016-0142-z ]

    https://hal.inria.fr/hal-01335147
  • 14R. Cabrera-Lozoya, B. Berte, H. Cochet, P. Jaïs, N. Ayache, M. Sermesant.

    Image-based Biophysical Simulation of Intracardiac Abnormal Ventricular Electrograms, in: IEEE Transactions on Biomedical Engineering, 2016, vol. PP, no 99. [ DOI : 10.1109/TBME.2016.2562918 ]

    https://hal.archives-ouvertes.fr/hal-01313615
  • 15R. Chabiniok, V. Y. Wang, M. Hadjicharalambous, L. Asner, J. Lee, M. Sermesant, E. Kuhl, A. A. Young, P. Moireau, M. P. Nash, D. Chapelle, D. Nordsletten.

    Multiphysics and multiscale modelling, data-model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics, in: Interface Focus, 2016, vol. 6, no 2. [ DOI : 10.1098/rsfs.2015.0083 ]

    https://hal.inria.fr/hal-01277684
  • 16Z. Chen, R. Cabrera-Lozoya, J. Relan, M. Sohal, A. Shetty, R. Karim, H. Delingette, J. Gill, K. Rhode, N. Ayache, P. Taggart, C. A. Rinaldi, M. Sermesant, R. Razavi.

    Biophysical modelling predicts ventricular tachycardia inducibility and circuit morphology: A combined clinical validation and computer modelling approach, in: Journal of Cardiovascular Electrophysiology, 2016, vol. 27, no 7, pp. 851-860. [ DOI : 10.1111/jce.12991 ]

    https://hal.archives-ouvertes.fr/hal-01301426
  • 17N. Cordier, H. Delingette, M. Lê, N. Ayache.

    Extended Modality Propagation: Image Synthesis of Pathological Cases, in: IEEE Transactions on Medical Imaging, July 2016, vol. PP, no 99. [ DOI : 10.1109/TMI.2016.2589760 ]

    https://hal.inria.fr/hal-01343233
  • 18N. Duchateau, M. De Craene, P. Allain, E. Saloux, M. Sermesant.

    Infarct localization from myocardial deformation: Prediction and uncertainty quantification by regression from a low-dimensional space, in: IEEE Transactions on Medical Imaging, 2016, vol. 35, no 10, pp. 2340-2352. [ DOI : 10.1109/TMI.2016.2562181 ]

    https://hal.inria.fr/hal-01314767
  • 19S. Giffard-Roisin, T. Jackson, L. Fovargue, J. Lee, H. Delingette, R. Razavi, N. Ayache, M. Sermesant.

    Non-Invasive Personalisation of a Cardiac Electrophysiology Model from Body Surface Potential Mapping, in: IEEE Transactions on Biomedical Engineering, 2016. [ DOI : 10.1109/TBME.2016.2629849 ]

    https://hal.inria.fr/hal-01397393
  • 20D. Gnansia, T. Demarcy, C. Vandersteen, C. Raffaelli, N. Guevara, H. Delingette, N. Ayache.

    Optimal electrode diameter in relation to volume of the cochlea, in: European Annals of Otorhinolaryngology, Head and Neck Diseases, June 2016, vol. 133, Supplement 1, pp. S66-S67. [ DOI : 10.1016/j.anorl.2016.04.013 ]

    https://hal.inria.fr/hal-01326507
  • 21P. Gori, O. Colliot, L. Marrakchi-Kacem, Y. Worbe, F. De Vico Fallani, M. Chavez, C. Poupon, A. Hartmann, N. Ayache, S. Durrleman.

    Parsimonious Approximation of Streamline Trajectories in White Matter Fiber Bundles, in: IEEE Transactions on Medical Imaging, 2016, vol. PP, no 99. [ DOI : 10.1109/TMI.2016.2591080 ]

    https://hal.archives-ouvertes.fr/hal-01346067
  • 22P. Gori, O. Colliot, L. Marrakchi-Kacem, Y. Worbe, C. Poupon, A. Hartmann, N. Ayache, S. Durrleman.

    A Bayesian Framework for Joint Morphometry of Surface and Curve meshes in Multi-Object Complexes, in: Medical Image Analysis, January 2017, vol. 35, pp. 458-474. [ DOI : 10.1016/j.media.2016.08.011 ]

    https://hal.inria.fr/hal-01359423
  • 23M. Hadj-Hamou, M. Lorenzi, N. Ayache, X. Pennec.

    Longitudinal Analysis of Image Time Series with Diffeomorphic Deformations: A Computational Framework Based on Stationary Velocity Fields, in: Frontiers in Neuroscience, June 2016, vol. 10, no 236, 18 p. [ DOI : 10.3389/fnins.2016.00236 ]

    https://hal.inria.fr/hal-01329989
  • 24J. Jovicich, L. Minati, M. Marizzoni, R. Marchitelli, R. Sala-Llonch, D. Bartrés-Faz, J. Arnold, J. Benninghoff, U. Fiedler, L. Roccatagliata, A. Picco, F. Nobili, O. Blin, S. Bombois, R. Lopes, R. Bordet, J. Sein, J.-P. Ranjeva, M. Didic, H. Gros-Dagnac, P. Payoux, G. Zoccatelli, F. Alessandrini, A. Beltramello, N. Bargallo, A. Ferretti, M. Caulo, M. Aiello, C. Cavaliere, A. Soricelli, L. Parnetti, R. Tarducci, P. Floridi, M. Tsolaki, M. Constantinidis, A. Drevelegas, P. M. Rossini, C. Marra, P. Schoenknecht, T. Hensch, K.-T. Hoffmann, J. P. Kuijer, P. J. Visser, F. Barkhof, G. B. Frisoni.

    Longitudinal reproducibility of default-mode network connectivity in healthy elderly participants: A multicentric resting-state fMRI study, in: NeuroImage, January 2016, vol. 124, pp. 442–454, WOS:000366646700041. [ DOI : 10.1016/j.neuroimage.2015.07.010 ]

    https://hal-amu.archives-ouvertes.fr/hal-01425515
  • 25B. Khanal, M. Lorenzi, N. Ayache, X. Pennec.

    A biophysical model of brain deformation to simulate and analyze longitudinal MRIs of patients with Alzheimer's disease, in: NeuroImage, July 2016, vol. 134, pp. 35-52. [ DOI : 10.1016/j.neuroimage.2016.03.061 ]

    https://hal.inria.fr/hal-01305755
  • 26L. Le Folgoc, H. Delingette, A. Criminisi, N. Ayache.

    Quantifying Registration Uncertainty with Sparse Bayesian Modelling, in: IEEE Transactions on Medical Imaging, December 2016, vol. PP, no 99. [ DOI : 10.1109/TMI.2016.2623608 ]

    https://hal.inria.fr/hal-01378844
  • 27L. Le Folgoc, H. Delingette, A. Criminisi, N. Ayache.

    Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacements, in: Medical Image Analysis, February 2017, vol. 36, pp. 79 - 97. [ DOI : 10.1016/j.media.2016.09.008 ]

    https://hal.inria.fr/hal-01149544
  • 28M. Lê, H. Delingette, J. Kalpathy-Cramer, E. R. Gerstner, T. Batchelor, J. Unkelbach, N. Ayache.

    MRI Based Bayesian Personalization of a Tumor Growth Model, in: IEEE Transactions on Medical Imaging, April 2016, vol. 35, no 10, pp. 2329-2339. [ DOI : 10.1109/TMI.2016.2561098 ]

    https://hal.inria.fr/hal-01324849
  • 29M. Lê, H. Delingette, J. Kalpathy-Cramer, E. R. Gerstner, T. Batchelor, J. Unkelbach, N. Ayache.

    Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model, in: IEEE Transactions on Medical Imaging, 2016, 11 p. [ DOI : 10.1109/TMI.2016.2626443 ]

    https://hal.inria.fr/hal-01403847
  • 30M. Lê, J. Unkelbach, N. Ayache, H. Delingette.

    Sampling Image Segmentations for Uncertainty Quantification, in: Medical Image Analysis, December 2016, vol. 34, pp. 42-51, Accepted for publication to the journal Elsevier Medical Image Analysis. [ DOI : 10.1016/j.media.2016.04.005 ]

    https://hal.archives-ouvertes.fr/hal-01304646
  • 31N. Mangado, M. Ceresa, N. Duchateau, H. M. Kjer, S. Vera, H. Dejea Velardo, P. Mistrik, R. R. Paulsen, J. Fagertun, J. Noailly, G. Piella, M. Á. González Ballester.

    Automatic model generation framework for computational simulation of cochlear implantation, in: Annals of Biomedical Engineering, 2016, vol. 44, no 8, pp. 2453-2463. [ DOI : 10.1007/s10439-015-1541-y ]

    https://hal.inria.fr/hal-01314765
  • 32S. Sanchez-Martinez, N. Duchateau, T. Erdei, A. Fraser, B. Bijnens, G. Piella.

    Characterization of myocardial motion patterns by unsupervised multiple kernel learning, in: Medical Image Analysis, 2017, vol. 35, pp. 70–82. [ DOI : 10.1016/j.media.2016.06.007 ]

    https://hal.inria.fr/hal-01331550
  • 33D. Soto-Iglesias, N. Duchateau, C. Butakoff, D. Andreu, J. Fernández-Armenta, B. Bijnens, A. Berruezo, M. Sitges, O. Camara.

    Quantitative analysis of electro-anatomical maps: application to an experimental model of LBBB/CRT, in: IEEE Journal of Translational Engineering in Health and Medicine, 2017, In press.

    https://hal.inria.fr/hal-01398828
  • 34H. Talbot, F. Spadoni, C. Duriez, M. Sermesant, S. Cotin, H. Delingette.

    Interactive Training System for Interventional Electrocardiology Procedures, in: Lecture notes in computer science, 2016, vol. 8789, pp. 11-19. [ DOI : 10.1007/978-3-319-12057-7_2 ]

    https://hal.inria.fr/hal-01338346
  • 35A. S. Vemuri, S. Nicolau, A. Sportes, J. Marescaux, L. Soler, N. Ayache.

    Inter-Operative Biopsy Site Relocalization in Endoluminal Surgery, in: IEEE Transactions on Biomedical Engineering, September 2016, vol. 63, no 9, pp. 1862-1873. [ DOI : 10.1109/TBME.2015.2503981 ]

    https://hal.inria.fr/hal-01230752
  • 36A. Verger, Y. Yagdigul, A. V. D. Gucht, S. Poussier, E. Guedj, L. Maillard, G. Malandain, G. Hossu, R. Fay, G. Karcher, P.-Y. Marie.

    Temporal epilepsy lesions may be detected by the voxel-based quantitative analysis of brain FDG-PET images using an original block-matching normalization software, in: Annals of Nuclear Medicine, May 2016, vol. 30, no 4, pp. 272–278. [ DOI : 10.1007/s12149-016-1060-4 ]

    https://hal.archives-ouvertes.fr/hal-01419250

Invited Conferences

  • 37T. Demarcy, C. Vandersteen, C. Raffaelli, D. Gnansia, N. Guevara, N. Ayache, H. Delingette.

    Uncertainty Quantification of Cochlear Implant Insertion from CT Images, in: 5th International Workshop on Clinical Image-Based Procedures - CLIP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, R. Shekhar, S. Wesarg, M. A. Gonzalez Ballester, K. Drechsler, Y. Sato, M. Erdt, M. G. Linguraru, C. O. Laura (editors), Lecture Notes in Computer Science, Springer, October 2016, vol. 9958, pp. 27-35. [ DOI : 10.1007/978-3-319-46472-5_4 ]

    https://hal.inria.fr/hal-01393323

International Conferences with Proceedings

  • 38S. Giffard-Roisin, L. Fovargue, J. Webb, R. Molléro, J. Lee, H. Delingette, N. Ayache, R. Razavi, M. Sermesant.

    Estimation of Purkinje Activation from ECG: an Intermittent Left Bundle Branch Block Study, in: 7th International Statistical Atlases and Computational Modeling of the Heart (STACOM) Workshop, Held in Conjunction with MICCAI 2016, Athens, Greece, Lecture Notes in Computer Science, October 2016, In press.

    https://hal.inria.fr/hal-01372924
  • 40S. Marchesseau, N. Duchateau, H. Delingette.

    Segmentation and registration coupling from short-axis Cine MRI: application to infarct diagnosis, in: 7th International Statistical Atlases and Computational Modeling of the Heart (STACOM) Workshop, Held in Conjunction with MICCAI 2016, Athens, Greece, Lecture Notes in Computer Science, October 2016, In press.

    https://hal.inria.fr/hal-01352460
  • 41R. Molléro, X. Pennec, H. Delingette, N. Ayache, M. Sermesant.

    A Multiscale Cardiac Model for Fast Personalisation and Exploitation, in: Medical Image Computing and Computer Assisted Intervention (MICCAI), Athens, Greece, MICCAI 2016, Lecture Notes in Computer Science, October 2016, vol. 9902, pp. 174-182. [ DOI : 10.1007/978-3-319-46726-9_21 ]

    https://hal.inria.fr/hal-01360908
  • 42M.-M. Rohé, R. Molléro, M. Sermesant, X. Pennec.

    Highly Reduced Model of the Cardiac Function for Fast Simulation, in: IEEE - IVMSP Workshop 2016, Bordeaux, France, Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2016 IEEE 12th, IEEE, July 2016, 5 p. [ DOI : 10.1109/IVMSPW.2016.7528214 ]

    https://hal.inria.fr/hal-01373715
  • 43M.-M. Rohé, M. Sermesant, X. Pennec.

    Barycentric Subspace Analysis: a new Symmetric Group-wise Paradigm for Cardiac Motion Tracking, in: MICCAI 2016 - the 19th International Conference on Medical Image Computing and Computer Assisted Intervention, Athens, Greece, MICCAI 2016, Lecture Notes in Computer Science, October 2016, vol. 9902, no 448-456, pp. 300-307. [ DOI : 10.1007/978-3-319-46726-9_35 ]

    https://hal.inria.fr/hal-01373706

Conferences without Proceedings

  • 44T. Demarcy, C. Vandersteen, D. Gnansia, C. Raffaelli, H. Delingette, N. Ayache, N. Guevara.

    Estimation de la position post-implantation cochléaire de l’électrode à partir d’images tomodensitométriques cliniques : Estimation of postoperative cochlear implant electrode-array position from clinical computed tomography, in: 123ème Congrès de la Société Française d'Oto-Rhino-Laryngologie et de Chirurgie de la Face et du Cou, Paris, France, Annales françaises d'Oto-rhino-laryngologie et de Pathologie Cervico-faciale, Congrès de la Société Française d'Oto-Rhino-Laryngologie et de Chirurgie de la Face et du Cou, October 2016.

    https://hal.inria.fr/hal-01398676
  • 45P. Moceri, N. Duchateau, D. Baudouy, S. Leroy, P. Bouvier, E. dan Schouver, M. Sermesant, E. Ferrari.

    Three-dimensional speckle tracking of the right ventricle: implications on survival in pulmonary hypertension, in: European Society of Cardiology (ESC) Congress, Rome, Italy, European Heart Journal, Abstracts from the European Society of Cardiology (ESC) Congress, August 2016, vol. 37, no S1, 994 p.

    https://hal.inria.fr/hal-01315011
  • 46S. Sanchez-Martinez, N. Duchateau, T. Erdei, G. Kunszt, A. Degiovanni, E. Carluccio, A. Fraser, G. Piella, B. Bijnens.

    Machine-learning based diagnosis of heart failure with preserved ejection fraction: how much do we agree with the guidelines?, in: EuroEcho-Imaging, Leipzig, Germany, European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congress, December 2016, In press.

    https://hal.inria.fr/hal-01352285

Scientific Books (or Scientific Book chapters)

  • 47N. Duchateau, G. Piella, A. Frangi, M. De Craene.

    Learning pathological deviations from a normal pattern of myocardial motion: Added value for CRT studies?, in: Machine learning and medical imaging, 1st Edition, G. Wu, D. Shen, M. Sabuncu (editors), Elsevier, 2016, pp. 365-382.

    https://hal.inria.fr/hal-01352464

Scientific Popularization

  • 48N. Ayache.

    Le patient numérique personnalisé : une révolution, April 2016, Article publié par l'Académie des Sciences dans l’Humanité.

    https://hal.inria.fr/hal-01325407

Patents

  • 49S. Nicolau, A. S. Vemuri, L. Soler, J. Marescaux.

    Anatomical site relocalisation using dual data synchronisation, January 2016, no 20160022125.

    https://hal.inria.fr/hal-01308627

Other Publications

References in notes
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    Asclepios: a Research Project-Team at Inria for the Analysis and Simulation of Biomedical Images, in: From semantics to computer science: essays in honor of Gilles Kahn, Y. Bertot, G. Huet, J.-J. Lévy, G. Plotkin (editors), Cambridge University Press, 2009.

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    Computational Models for Image Guided, Robot-Assisted and Simulated Medical Interventions, in: Proceedings of the IEEE, September 2006, vol. 94, no 9, pp. 1678- 1688.

    http://www.inria.fr/sophia/asclepios/Publications/Herve.Delingette/IEEE-proceedings-Robotics.pdf
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    Medical Image Analysis: Progress over two decades and the challenges ahead, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, vol. 22, no 1, pp. 85–106.
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    Imaging cerebral atrophy: normal ageing to Alzheimer's disease, in: Lancet, 2004, vol. 363, no 9406.
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    Human Models for crash and impact Simulation, in: Computational Models for the Human Body, N. Ayache (editor), Elsevier, 2004, pp. 231–452.
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    Integration from proteins to organs: the Physiome project, in: Nature Reviews - Molecular Cell Biology, 2003, vol. 4, pp. 237–243.
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    Computational anatomy: shape, growth, and atrophy comparison via diffeomorphisms, in: NeuroImage, 2004, vol. 23, no Supplement 1, S19 p, Special Issue : Mathematics in Brain Imaging.
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    Modeling the Heart, from genes to cells to the whole organ, in: Science, 2002, vol. 295, pp. 1678–1682.
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    Mathematical Modeling and Numerical Simulation of the Cardiovascular System, in: Computational Models for the Human Body, N. Ayache (editor), Elsevier, 2004, pp. 3–128.
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    Mapping Cortical Change in Alzheimer's Disease, Brain Development, and Schizophrenia, in: NeuroImage, 2004, vol. 23, no supplement 1, S2 p, Special Issue : Mathematics in Brain Imaging.
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