Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

• 1C. Audigier.
  Computational modeling of radiofrequency ablation for the planning and guidance of abdominal tumor treatment, Université Nice Sophia Antipolis, October 2015.
  https://tel.archives-ouvertes.fr/tel-01256010
• 2T. Benseghir.
  Topology Preserving Vascular Registration: Application to Percutaneous Coronary Intervention, Université de Nice-Sophia Antipolis, July 2015.
  https://hal.inria.fr/tel-01235141
• 3R. Cabrera Lozoya.
  Radiofrequency ablation planning for cardiac arrhythmia treatment using modeling and machine learning approaches, Université Nice Sophia Antipolis, September 2015.
  https://tel.archives-ouvertes.fr/tel-01206478
• 4N. Cordier.
  Multi-Atlas Patch-Based Segmentation and Synthesis of Brain Tumor MR Images, Université Nice Sophia Antipolis, December 2015.
  https://hal.inria.fr/tel-01237853
• 5V. Gupta.
  Diffusion tensor imaging of the brain : towards quantitative clinical tools, Université Nice Sophia Antipolis, March 2015.
  https://tel.archives-ouvertes.fr/tel-01159964
• 6L. Le Folgoc.
  Statistical learning for image-based personalization of cardiac models, Université Nice Sophia Antipolis, November 2015.
  https://hal.inria.fr/tel-01237874
• 7J. Margeta.
  Machine Learning for Simplifying the Use of Cardiac Image Databases, MINES ParisTech, December 2015.
  https://hal.inria.fr/tel-01243340

Articles in International Peer-Reviewed Journals

• 8M. Alessandrini, M. De Craene, O. Bernard, S. Giffard-Roisin, P. Allain, J. Weese, E. Saloux, H. Delingette, M. Sermesant, J. D'Hooge.
  A Pipeline for the Generation of Realistic 3D Synthetic Echocardiographic Sequences: Methodology and Open-access Database, in: IEEE Transactions on Medical Imaging, 2015, vol. 34, n^o 7, pp. 1436-1451. [ DOI : 10.1109/TMI.2015.2396632 ]
  https://hal.archives-ouvertes.fr/hal-01117490
• 9A. Amelot, E. Stretton, H. Delingette, N. Ayache, S. Froelich, E. Mandonnet.
  Expert-validated CSF segmentation of MNI atlas enhances accuracy of virtual glioma growth patterns, in: Journal of Neuro-Oncology, January 2015, vol. 121, n^o 2, pp. 381-387. [ DOI : 10.1007/s11060-014-1645-5 ]
  https://hal.inria.fr/hal-01081410
• 10C. Audigier, T. Mansi, H. Delingette, S. Rapaka, V. Mihalef, D. Carnegie, E. Boctor, M. Choti, A. Kamen, N. Ayache, D. Comaniciu.
  Efficient Lattice Boltzmann Solver for Patient-Specific Radiofrequency Ablation of Hepatic Tumors, in: IEEE Transactions on Medical Imaging, 2015, vol. 34, n^o issue 7, pp. p 1576-1589. [ DOI : 10.1109/TMI.2015.2406575 ]
  https://hal.inria.fr/hal-01146319
• 11D. M. Cash, C. Frost, L. O. Iheme, D. Ünay, M. Kandemir, J. Fripp, O. Salvado, P. Bourgeat, M. Reuter, B. Fischl, M. Lorenzi, G. B. Frisoni, X. Pennec, R. K. Pierson, J. L. Gunter, M. L. Senjem, C. R. Jack, N. Guizard, V. S. Fonov, D. L. Collins, M. Modat, M. J. Cardoso, K. K. Leung, H. Wang, S. R. Das, P. A. Yushkevich, I. B. Malone, N. C. Fox, J. M. Schott, S. Ourselin.
  Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge, in: NeuroImage, December 2015, vol. 123, pp. 149–164. [ DOI : 10.1016/j.neuroimage.2015.07.087 ]
  https://hal.inria.fr/hal-01203573
• 12H. Cochet, A. Denis, Y. Komatsu, A. S. Jadidi, T. Aït Ali, F. Sacher, N. Derval, J. Relan, M. Sermesant, O. Corneloup, M. Hocini, M. Haïssaguerre, F. Laurent, M. Montaudon, P. Jaïs.
  Automated Quantification of Right Ventricular Fat at Contrast-enhanced Cardiac Multidetector CT in Arrhythmogenic Right Ventricular Cardiomyopathy, in: Radiology, June 2015, vol. 275, n^o 3, pp. 683-91. [ DOI : 10.1148/radiol.14141140 ]
  https://hal.inria.fr/hal-01244219
• 13N. Cordier, H. Delingette, N. Ayache.
  A patch-based approach for the segmentation of pathologies: Application to glioma labelling, in: IEEE Transactions on Medical Imaging, December 2015, vol. PP, n^o 99. [ DOI : 10.1109/TMI.2015.2508150 ]
  https://hal.inria.fr/hal-01241480
• 14M. Lorenzi, N. Ayache, X. Pennec.
  Regional flux analysis for discovering and quantifying anatomical changes: An application to the brain morphometry in Alzheimer's disease, in: NeuroImage, July 2015, vol. 115, pp. 224–234. [ DOI : 10.1016/j.neuroimage.2015.04.051 ]
  https://hal.inria.fr/hal-01145728
• 15M. Lorenzi, X. Pennec, G. B. Frisoni, N. Ayache.
  Disentangling normal aging from Alzheimer's disease in structural magnetic resonance images, in: Neurobiology of Aging, January 2015, vol. 36, pp. S42-S52. [ DOI : 10.1016/j.neurobiolaging.2014.07.046 ]
  https://hal.inria.fr/hal-01061017
• 16K. Mcleod, M. Sermesant, P. Beerbaum, X. Pennec.
  Spatio-Temporal Tensor Decomposition of a Polyaffine Motion Model for a Better Analysis of Pathological Left Ventricular Dynamics, in: IEEE Transactions on Medical Imaging, July 2015, vol. 34, n^o 7, pp. 1562–1675. [ DOI : 10.1109/TMI.2015.2405579 ]
  https://hal.inria.fr/hal-01205342
• 17B. H. Menze, K. Van Leemput, D. Lashkari, T. Riklin-Raviv, E. Geremia, E. Alberts, P. Gruber, S. Wegener, M.-A. Weber, G. Szekely, N. Ayache, P. Golland.
  A generative probabilistic model and discriminative extensions for brain lesion segmentation – with application to tumor and stroke, in: IEEE Transactions on Medical Imaging, November 2015.
  https://hal.inria.fr/hal-01230846
• 18N. Miolane, X. Pennec.
  Computing Bi-Invariant Pseudo-Metrics on Lie Groups for Consistent Statistics, in: Entropy, April 2015, vol. 17, n^o 4, pp. 1850-1881. [ DOI : 10.3390/e17041850 ]
  https://hal.inria.fr/hal-01133922
• 19C. Tobon-Gomez, A. Geers, J. Peters, J. Weese, K. Pinto, R. Karim, M. Ammar, A. Daoudi, J. Margeta, Z. Sandoval, B. Stender, Y. Zheng, M. Zuluaga, J. Betancur, N. Ayache, M. Amine Chikh, J.-L. Dillenseger, B. Kelm, S. Mahmoudi, S. Ourselin, A. Schlaefer, T. Schaeffter, R. Razavi, K. Rhode.
  Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets, in: IEEE Transactions on Medical Imaging, July 2015, vol. 34, n^o 7, pp. 1460–1473. [ DOI : 10.1109/TMI.2015.2398818 ]
  https://hal-univ-rennes1.archives-ouvertes.fr/hal-01260607
• 20C. Vandersteen, T. Demarcy, C. Roger, E. Fontas, C. Raffaelli, N. Ayache, H. Delingette, N. Guevara.
  Impact of the surgical experience on cochleostomy location: a comparative temporal bone study between endaural and posterior tympanotomy approaches for cochlear implantation, in: European Archives of Oto-Rhino-Laryngology, 2015, pp. 1-7. [ DOI : 10.1007/s00405-015-3792-5 ]
  https://hal.inria.fr/hal-01238195
• 21A. S. Vemuri, S. A. Nicolau, A. Sportes, J. Marescaux, L. Soler, N. Ayache.
  Inter-Operative Biopsy Site Relocalization in Endoluminal Surgery, in: IEEE Transactions on Biomedical Engineering, 2015. [ DOI : 10.1109/TBME.2015.2503981 ]
  https://hal.inria.fr/hal-01230752
• 22K. C. Wong, M. Sermesant, K. Rhode, M. Ginks, C. Aldo Rinaldi, R. Razavi, H. Delingette, N. Ayache.
  Velocity-based cardiac contractility personalization from images using derivative-free optimization, in: Journal of the mechanical behavior of biomedical materials, March 2015, vol. 43, pp. 35-52. [ DOI : 10.1016/j.jmbbm.2014.12.002 ]
  https://hal.inria.fr/hal-01095725

International Conferences with Proceedings

• 23M. Alessandrini, B. Heyde, S. Giffard-Roisin, H. Delingette, M. Sermesant, P. Allain, O. Bernard, M. De Craene, J. 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, April 2015, pp. 756-759. [ DOI : 10.1109/ISBI.2015.7163982 ]
  https://hal.archives-ouvertes.fr/hal-01117557
• 24S. Allassonnière, L. Devilliers, X. 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), Munich, Germany, Proceedings of the fifth international workshop on Mathematical Foundation sof Computational Anatomy (MFCA'15), October 2015, pp. 131-142.
  https://hal.inria.fr/hal-01203816
• 25C. Audigier, T. Mansi, H. Delingette, S. Rapaka, T. Passerini, V. Mihalef, R. Pop, M. Diana, L. Soler, A. Kamen, D. Comaniciu, N. Ayache.
  Challenges to Validate Multi-physics Model of Liver Tumor Radiofrequency Ablation from Pre-clinical Data, in: Computational Biomechanics for Medicine X, Munich, Germany, October 2015, pp. 29-40.
  https://hal.inria.fr/hal-01184543
• 27H. Bleton, J. Margeta, H. Lombaert, H. Delingette, N. Ayache.
  Myocardial Infarct Localization using Neighborhood Approximation Forests, in: Statistical Atlases and Computational Modeling of the Heart (STACOM 2015), Munich, Germany, October 2015.
  https://hal.inria.fr/hal-01203579
• 28J. L. Bruse, K. Mcleod, G. Biglino, H. N. Ntsinjana, C. Capelli, T.-Y. Hsia, M. Sermesant, X. Pennec, A. Taylor, S. 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), Munich, Germany, October 2015.
  https://hal.inria.fr/hal-01205515
• 29H. Courtecuisse, Y. Adagolodjo, H. Delingette, C. Duriez.
  Haptic Rendering of Hyperelastic Models with Friction, in: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, IEEE, September 2015, pp. 591-596. [ DOI : 10.1109/IROS.2015.7353432 ]
  https://hal.archives-ouvertes.fr/hal-01184113
• 30N. Duchateau, N. Mangado, M. Ceresa, P. Mistrik, S. Vera, M. A. Gonzalez Ballester.
  Virtual cochlear electrode insertion via parallel transport frame, in: Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, New York, France, April 2015, pp. 1398 - 1401. [ DOI : 10.1109/ISBI.2015.7164137 ]
  https://hal.inria.fr/hal-01207989
• 31N. Duchateau, M. Sermesant.
  Prediction of infarct localization from myocardial deformation, in: Statistical Atlases and Computational Modeling of the Heart (STACOM 2015), Munich, Germany, October 2015.
  https://hal.inria.fr/hal-01208019
• 32P. Gori, O. Colliot, L. Marrakchi-Kacem, Y. Worbe, A. Routier, C. Poupon, A. Hartmann, N. Ayache, S. Durrleman.
  Joint Morphometry of Fiber Tracts and Gray Matter structures using Double Diffeomorphisms, in: IPMI - Information Processing in Medical Imaging, Isle of Skye, United Kingdom, Lecture Notes in Computer Science, June 2015, vol. 9123, pp. 275-287. [ DOI : 10.1007/978-3-319-19992-4_21 ]
  https://hal.archives-ouvertes.fr/hal-01142628
• 33V. Gupta, G. Malandain, N. Ayache, X. 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), Munich, Germany, October 2015.
  https://hal.inria.fr/hal-01261115
• 34B. Khanal, M. Lorenzi, N. Ayache, X. 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, Munich, France, October 2015.
  https://hal.inria.fr/hal-01217080
• 35H. Lombaert, M. Arcaro, N. Ayache.
  Brain Transfer: Spectral Analysis of Cortical Surfaces and Functional Maps, in: Information Processing in Medical Imaging (IPMI 2015), Scotland, United Kingdom, S. Ourselin, D. C. Alexander, C.-F. Westin, M. J. Cardoso (editors), Lecture Notes in Computer Science, Springer, July 2015, vol. 9123, pp. 474-487. [ DOI : 10.1007/978-3-319-19992-4_37 ]
  https://hal.inria.fr/hal-01203570
• 36H. Lombaert, A. Criminisi, N. Ayache.
  Spectral Forests: Learning of Surface Data, Application to Cortical Parcellation, in: Medical Image Computingand Computer Assisted Intervention (MICCAI 2015), Munich, Germany, N. Navab, J. Hornegger, W. M. Wells, A. F. Frangi (editors), Lecture Notes in Computer Science, Springer, October 2015, vol. 9349, pp. 547-555. [ DOI : 10.1007/978-3-319-24553-9_67 ]
  https://hal.inria.fr/hal-01203568
• 37M. Lê, H. Delingette, J. Kalpathy-Cramer, E. R. Gerstner, T. Batchelor, J. Unkelbach, N. Ayache.
  Bayesian Personalization of Brain Tumor Growth Model, in: MICCAI - Medical Image Computing and Computer Assisted Intervention - 2015, Munich, Germany, A. F. Frangi, J. Hornegger, N. Navab, W. M. Wells (editors), Lecture Notes in Computer Science - LNCS, Springer, October 2015, vol. 9350, pp. 424-432. [ DOI : 10.1007/978-3-319-24571-3_51 ]
  https://hal.archives-ouvertes.fr/hal-01155075
• 39J. Mahé, N. Linard, M. Kohandani Tafreshi, T. Vercauteren, N. Ayache, F. Lacombe, R. Cuingnet.
  Motion-Aware Mosaicing for Confocal Laser Endomicroscopy, in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, Munich, Germany, October 2015, vol. 9349, pp. 447-454. [ DOI : 10.1007/978-3-319-24553-9_55 ]
  https://hal.inria.fr/hal-01208437
• 40N. Mangado, M. Ceresa, N. Duchateau, H. Dejea, H. M. Kjer, R. Paulsen, S. Vera, P. Mistrik, J. Herrero, M. A. Gonzalez Ballester.
  Automatic generation of a computational model for monopolar stimulation of cochlear implants, in: Computer Assisted Radiology and Surgery (CARS), Barcelona, Spain, International Journal of Computer Assisted Radiology and Surgery, 2015, vol. 10, n^o S1, pp. S67-S68. [ DOI : 10.1007/s11548-015-1213-2 ]
  https://hal.inria.fr/hal-01213341
• 41N. Mangado, N. Duchateau, M. Ceresa, H. M. Kjer, S. Vera, P. Mistrik, J. Herrero, M. A. Gonzalez Ballester.
  Patient-specific virtual insertion of electrode array for electrical simulation of cochlear implants, in: Computer Assisted Radiology and Surgery (CARS), Barcelona, Spain, International Journal of Computer Assisted Radiology and Surgery, 2015, vol. 10, n^o S1, pp. S102-S103. [ DOI : 10.1007/s11548-015-1213-2 ]
  https://hal.inria.fr/hal-01213345
• 42K. Mcleod, M. Sermesant, P. Beerbaum, X. Pennec.
  Descriptive and Intuitive Population-Based Cardiac Motion Analysis via Sparsity Constrained Tensor Decomposition, in: Medical Image Computing and Computer Assisted Intervention (MICCAI 2015), Munich, Germany, Lecture notes in computer science (LNCS), October 2015, vol. 9351, pp. 419-426. [ DOI : 10.1007/978-3-319-24574-4_50 ]
  https://hal.inria.fr/hal-01205535
• 43N. Miolane, X. 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 (MICCAI-MCV 2015), Munich, Germany, October 2015.
  https://hal.inria.fr/hal-01203518
• 44N. Miolane, X. Pennec.
  Biased estimators on Quotient spaces, in: Geometric Science of Information. Second International Conference, GSI 2015, Palaiseau, France, Lecture notes in computer science (LNCS), Springer, October 2015, vol. 9389, pp. 130-139. [ DOI : 10.1007/978-3-319-25040-3_15 ]
  https://hal.inria.fr/hal-01203805
• 45R. Molléro, D. Neumann, M.-M. Rohé, M. Datar, H. Lombaert, N. Ayache, D. Comaniciu, O. Ecabert, M. Chinali, G. Rinelli, X. Pennec, M. Sermesant, T. Mansi.
  Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study, in: 8th International Conference, FIMH 2015, Functional Imaging and Modeling of the Heart, Maastricht, Netherlands, LNCS, June 2015, vol. 9126, pp. 448-456. [ DOI : 10.1007/978-3-319-20309-6_51 ]
  https://hal.inria.fr/hal-01241896
• 46X. Pennec.
  Barycentric Subspaces Analysis on Spheres, in: Mathematical Foundation sof Computational Anatomy (MFCA'15), Munich, Germany, Proceedings of the fifth international workshop on Mathematical Foundation sof Computational Anatomy (MFCA'15), October 2015, pp. 71-82.
  https://hal.inria.fr/hal-01203815
• 47X. Pennec.
  Barycentric Subspaces and Affine Spans in Manifolds, in: Geometric Science of Information GSI'2015, Second International Conference, Palaiseau, France, Lecture Notes in Compuer Science, October 2015, vol. 9389, pp. 12-21. [ DOI : 10.1007/978-3-319-25040-3_2 ]
  https://hal.inria.fr/hal-01164463
• 48M.-M. Rohé, N. Duchateau, M. Sermesant, X. Pennec.
  Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct, in: Statistical Atlases and Computational Modeling of the Heart (STACOM 2015), Munich, Germany, 2015.
  https://hal.inria.fr/hal-01206710
• 49S. Sanchez-Martinez, N. Duchateau, B. Bijnens, T. Erdei, A. Fraser, G. Piella.
  Characterization of myocardial motion by multiple kernel learning: application to heart failure with preserved ejection fraction, in: 8th International Conference, FIMH 2015, Functional Imaging and Modeling of the Heart, Maastricht, Netherlands, LNCS, 2015, vol. 9126, pp. 65-73. [ DOI : 10.1007/978-3-319-20309-6_8 ]
  https://hal.inria.fr/hal-01208016
• 50D. Soto-Iglesias, N. Duchateau, C. Butakoff, D. Andreu, J. Fernández-Armenta, B. Bijnens, A. Berruezo, M. Sitges, O. Camara.
  Quantitative analysis of lead position vs. correction of electrical dyssynchrony in an experimental model of LBBB/CRT, in: 8th International Conference, FIMH 2015, Functional Imaging and Modeling of the Heart, Maastricht, Netherlands, LNCS, June 2015, vol. 9126, pp. 74-82. [ DOI : 10.1007/978-3-319-20309-6_9 ]
  https://hal.inria.fr/hal-01208006
• 51H. Talbot, S. Cotin, R. Razavi, C. Rinaldi, H. Delingette.
  Personalization of Cardiac Electrophysiology Model using the Unscented Kalman Filtering, in: Computer Assisted Radiology and Surgery (CARS 2015), Barcelona, Spain, June 2015.
  https://hal.inria.fr/hal-01195719
• 52H. Talbot, N. Haouchine, I. Peterlik, J. Dequidt, C. Duriez, H. Delingette, S. Cotin.
  Surgery Training, Planning and Guidance Using the SOFA Framework, in: Eurographics, Zurich, Switzerland, May 2015.
  https://hal.inria.fr/hal-01160297
• 53A. S. Vemuri, S. A. Nicolau, J. Marescaux, L. Soler, N. Ayache.
  Automatic View-Point Selection for Inter-Operative Endoscopic Surveillance, in: Medical Content-based Retrieval for Clinical Decision Support, Munich, Germany, Tanveer Syeda-Mahmood and Hayit Greenspan and Anant Madabhushi, October 2015.
  https://hal.inria.fr/hal-01203463

Conferences without Proceedings

• 54N. Duchateau, M. De Craene, D. Legallois, F. Labombarda, A. Pellissier, M. Sermesant, E. Saloux.
  Statistical significance of 3D motion and deformation indexes for the analysis of LAD infarction, in: EuroEcho-Imaging, Seville, Spain, European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congress, 2015.
  https://hal.inria.fr/hal-01217963
• 55N. Duchateau, M. Sermesant, P. Gibelin, E. Ferrari, P. Moceri.
  3D regional right ventricular function in pulmonary hypertension, in: EuroEcho-Imaging, Seville, Spain, European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congressf, 2015.
  https://hal.inria.fr/hal-01217956
• 56P. Gori, O. Colliot, L. Marrakchi-Kacem, Y. Worbe, A. Routier, C. Poupon, A. Hartmann, N. Ayache, S. Durrleman.
  Unified analysis of shape and structural connectivity of neural pathways, in: Organisation for Human Brain Mapping, Honolulu, Hawaii, United States, 2015.
  https://hal.archives-ouvertes.fr/hal-01187461
• 57H. Lombaert, M. Arcaro, S. Kastner, N. Ayache.
  Brain Transfer for the Analysis of Cortical Data, in: Society for Neuroscience (SfN), Chicago, United States, October 2015.
  https://hal.inria.fr/hal-01203574
• 58S. Sanchez-Martinez, N. Duchateau, T. Erdei, A. Fraser, G. Piella, B. Bijnens.
  Can machine learning help to identify heart failure with preserved ejection fraction?, in: EuroEcho-Imaging, Seville, Spain, European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congress, 2015.
  https://hal.inria.fr/hal-01217975
• 59S. Sanchez-Martinez, N. Duchateau, T. Erdei, A. Fraser, G. Piella, B. Bijnens.
  Quantifying the contribution of stress echocardiography to the diagnosis of heart failure with preserved ejection fraction, in: EuroEcho-Imaging, Seville, Spain, European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congress, 2015.
  https://hal.inria.fr/hal-01217993

Scientific Books (or Scientific Book chapters)

• 60N. Ayache.
  Des images médicales au patient numérique, Leçons inaugurales du Collège de France, Collège de France / Fayard, March 2015, 80 p.
  https://hal.inria.fr/hal-01170613
• 61H. Delingette, N. Ayache.
  Building Patient-Specific Physical and Physiological Computational Models from Medical Images, in: Handbook of Biomedical Imaging: Methodologies and Clinical Research, N. Paragios, J. Duncan, N. Ayache (editors), Springer US, 2015, pp. 169-182. [ DOI : 10.1007/978-0-387-09749-7_9 ]
  https://hal.inria.fr/hal-01250442
• 62X. Pennec, P. Fillard.
  Statistical Computing on Non-Linear Spaces for Computational Anatomy, in: Handbook of Biomedical Imaging: Methodologies and Clinical Research, N. Paragios, J. Duncan, N. Ayache (editors), Springer, 2015, pp. 147-168. [ DOI : 10.1007/978-0-387-09749-7_8 ]
  https://hal.inria.fr/inria-00616201

Books or Proceedings Editing

• 63O. Camara, T. Mansi, M. Pop, K. Rhode, M. Sermesant, A. Young (editors)
  Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, Lecture Notes in Computer Science, Springer, Boston, United States, 2015, vol. 8896, 296 p. [ DOI : 10.1007/978-3-319-14678-2 ]
  https://hal.inria.fr/hal-01244233
• 64S. Durrleman, T. P. Fletcher, G. Gerig, M. Niethammer, X. Pennec (editors)
  Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, Lecture notes in computer science, Springer International Publishing, Cambridge, United States, January 2015, vol. 8682, 89 p. [ DOI : 10.1007/978-3-319-14905-9 ]
  https://hal.inria.fr/hal-01114150
• 65N. Paragios, J. Duncan, N. Ayache (editors)
  Handbook of Biomedical Imaging: Methodologies and Clinical Research, Springer, 2015, 590 p. [ DOI : 10.1007/978-0-387-09749-7 ]
  https://hal.inria.fr/inria-00616178
• 66X. Pennec, S. Joshi, M. Nielsen, T. P. Fletcher, S. Durrleman, S. Sommer (editors)
  Proceedings of the fifth international workshop on Mathematical Foundations of Computational Anatomy (MFCA 2015), August 2015, 173 p.
  https://hal.inria.fr/hal-01203812

Internal Reports

• 67M. Breuilly, K. Chatti, J. Darcourt, P. Franken, J. Guglielmi, G. Malandain, T. Pourcher.
  From extraction of physiological features with dynamic µ-SPECT imaging to modelling of iodide biodistribution in stomach, Inria Sophia Antipolis, August 2015.
  https://hal.inria.fr/hal-01186222

Patents

• 68C. Audigier, T. Mansi, S. Rapaka, A. Kamen, V. Mihalef, H. Delingette, N. Ayache, D. Comaniciu.
  System and method for personalized computation of tissue ablation extent based on medical images, August 2015, n^o US 2015/0242588 A1.
  https://hal.inria.fr/hal-01253687
• 69N. Lepore, F. Ypes-Calderon, Y. Wang, P. M. Thompson, X. Pennec, M. D. Nelson, C. Brun, W. L. TANG.
  Magnetic resonance imaging tool to detect clinical difference in brain anatomy, February 2015, n^o WO/2015/017582, International Application PCT/US2014/048973.
  https://hal.inria.fr/hal-01203798

Other Publications

• 70L. 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, May 2015, working paper or preprint.
  https://hal.inria.fr/hal-01149544
• 71J. Margeta, A. Criminisi, R. Cabrera Lozoya, D. C. Lee, N. Ayache.
  Finetuned convolutional neural nets for cardiac MRI acquisition plane recognition, August 2015, working paper or preprint. [ DOI : 10.1080/21681163.2015.1061448 ]
  https://hal.inria.fr/hal-01162880

References in notes

• 72N. Ayache, J. Duncan (editors)
  Medical Image Analysis, Elsevier.
• 73M. Gazzaniga (editor)
  The Cognitive Neurosciences, MIT Press, 1995.
• 74International Symposium on Biomedical Imaging: From Nano to Macro, IEEE, Rotterdam, 2010.
• 75T. Jiang, N. Navab, J. P. Pluim, M. A. Viergever (editors)
  Medical Image Computing and Computer-Assisted Intervention (MICCAI'10), Part I, Lecture Notes in Computer Science, Springer, Beijing, China, September 2010, vol. 6361.
• 76T. Jiang, N. Navab, J. P. Pluim, M. A. Viergever (editors)
  Medical Image Computing and Computer-Assisted Intervention (MICCAI'10), Part II, Lecture Notes in Computer Science, Springer, Beijing, China, September 2010, vol. 6362.
• 77R. H. Taylor, S. Lavallée, G. S. Burdea, R. Mösges (editors)
  Computer-Integrated Surgery: Technology and Clinical Applications, MIT Press, 1995.
• 78W. Vannier, M. A. Viergever (editors)
  Transactions on Medical Imaging, IEEE.
• 79S. Webb (editor)
  The Physics of Medical Imaging, Institute of Physics Publishing, 1988.
• 80The international journal of Medical Robotics + Computer Assisted Surgery, Wiley.
• 81R. Acharya, R. Wasserman, J. Stevens, C. Hinojosa.
  Biomedical Imaging modalities: a tutorial, in: Computerized Medical Imaging and Graphics, 1995, vol. 19, n^o 1, pp. 3–25.
• 82M. J. Ackerman.
  The Visible Human Project, in: Proceedings of the IEEE : Special Issue on Surgery Simulation, March 1998, vol. 86, n^o 3, pp. 504–511.
• 83V. Arsigny, O. Commowick, X. Pennec, N. Ayache.
  A Log-Euclidean Framework for Statistics on Diffeomorphisms, in: Proc. of the 9th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'06), Part I, Copenhaguen, Denmark, LNCS, 2006, pp. 924–931. [ DOI : 10.1007/11866565_113 ]
  https://hal.inria.fr/inria-00615594
• 84L. Axel, A. Montillo, D. Kim.
  Tagged magnetic resonance imaging of the heart: a survey, in: Medical Image Analysis, 2005, vol. 9, n^o 4, pp. 376–393.
• 85N. Ayache.
  L'analyse automatique des images médicales, état de l'art et perspectives, in: Annales de l'Institut Pasteur, avril–juin 1998, vol. 9, n^o 1, pp. 13–21, numéro spécial sur les progrès récents de l'imagerie médicale.
• 86N. Ayache, O. Clatz, H. Delingette, G. Malandain, X. Pennec, M. Sermesant.
  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.
  http://www.inria.fr/sophia/asclepios/Publications/Nicholas.Ayache/Colloquium-Gilles-Kahn-NA-2007-v5.pdf
• 87M. Belik, T. Usyk, A. McCulloch.
  Computational Methods for Cardiac Electrophysiology, in: Computational Models for the Human Body, N. Ayache (editor), Elsevier, 2004, pp. 129–187.
• 88H. Delingette, X. Pennec, L. Soler, J. Marescaux, N. Ayache.
  Computational Models for Image Guided, Robot-Assisted and Simulated Medical Interventions, in: Proceedings of the IEEE, September 2006, vol. 94, n^o 9, pp. 1678- 1688.
  http://www.inria.fr/sophia/asclepios/Publications/Herve.Delingette/IEEE-proceedings-Robotics.pdf
• 89I. L. Dryden, K. V. Mardia.
  Statistical Shape Analysis, John Wiley and Sons, 1998.
• 90J. Duncan, N. Ayache.
  Medical Image Analysis: Progress over two decades and the challenges ahead, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, vol. 22, n^o 1, pp. 85–106.
• 91N. C. Fox, J. M. Schott.
  Imaging cerebral atrophy: normal ageing to Alzheimer's disease, in: Lancet, 2004, vol. 363, n^o 9406.
• 92A. F. Frangi, W. J. Niessen, M. A. Viergever.
  Three-dimensional modeling for functional analysis of cardiac images: a review, in: IEEE Trans Med Imaging, January 2001, vol. 20, n^o 1, pp. 2-25.
• 93P. C. Franzone, L. Guerri, M. Pennachio, B. Taccardi.
  Spread of excitation in 3-D models of the anisotropic cardiac tissue, in: Mathematical Biosciences, 1988, vol. 151, pp. 51–98.
• 94P. J. Green.
  Reversible jump Markov chain Monte Carlo computation and Bayesian model determination, in: Biometrika, 1995, vol. 82, n^o 4, pp. 711–732.
• 95E. Haug, H.-Y. Choi, S. Robin, M. Beaugonin.
  Human Models for crash and impact Simulation, in: Computational Models for the Human Body, N. Ayache (editor), Elsevier, 2004, pp. 231–452.
• 96P. Hunter, T. Borg.
  Integration from proteins to organs: the Physiome project, in: Nature Reviews - Molecular Cell Biology, 2003, vol. 4, pp. 237–243.
• 97P. Hunter.
  Computational Physiology and the Physiome Project, 2004.
• 98H. Lombaert, J.-M. Peyrat.
  Joint Statistics on Cardiac Shape and Fiber Architecture, in: Medical Computing and Computer Assisted Intervention (MICCAI), 2013.
• 99H. Lombaert, D. Zikic, A. Criminisi, N. Ayache.
  Laplacian Forests: Semantic Image Segmentation by Guided Bagging, in: MICCAI 2014 - 17th International Conference Medical Image Computing and Computer-Assisted Intervention, Boston, United States, P. Golland, N. Hata, C. Barillot, J. Hornegger, R. Howe (editors), LNCS - Lecture Notes in Computer Science, Springer, September 2014, vol. 8674. [ DOI : 10.1007/978-3-319-10470-6_62 ]
  https://hal.inria.fr/hal-01009672
• 100B. H. Menze, K. Van Leemput, D. Lashkari, M.-A. Weber, N. Ayache, P. Golland.
  A generative model for brain tumor segmentation in multi-modal images, in: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010, Springer, 2010, pp. 151–159.
• 101D. Metaxas, J. Kayes, F. Primanio.
  A 3-D virtual environment for modeling mechanical cardiopulmonary interactions, in: Medical Image Analysis, 1997, vol. 3, n^o 1, pp. 1–26.
• 102M. I. Miller.
  Computational anatomy: shape, growth, and atrophy comparison via diffeomorphisms, in: NeuroImage, 2004, vol. 23, n^o Supplement 1, S19 p, Special Issue : Mathematics in Brain Imaging.
• 103D. Noble.
  Modeling the Heart, from genes to cells to the whole organ, in: Science, 2002, vol. 295, pp. 1678–1682.
• 104A. Quarteroni, L. Formaggia.
  Mathematical Modeling and Numerical Simulation of the Cardiovascular System, in: Computational Models for the Human Body, N. Ayache (editor), Elsevier, 2004, pp. 3–128.
• 105P. M. Thompson, K. Hayashi, E. Sowell, N. Gogtay, J. Giedd, J. Rapoport, G. de Zubicaray, A. Janke, S. Rose, J. Semple, D. Doddrell, Y. Wang, T. van Erp, T. Cannon, A. W. Toga.
  Mapping Cortical Change in Alzheimer's Disease, Brain Development, and Schizophrenia, in: NeuroImage, 2004, vol. 23, n^o supplement 1, S2 p, Special Issue : Mathematics in Brain Imaging.
• 106P. M. Thompson, M. I. Miller, J. T. Ratnanather, R. A. Poldrack, T. E. Nichols.
  Guest Editorial, in: NeuroImage, 2004, vol. 23, n^o Supplement 1, S1 p, Special Issue : Mathematics in Brain Imaging.
• 107D. W. Thompson.
  On Growth and Form, Cambridge Univ. Pr., 1917.
• 108K. Van Leemput, F. Maes, D. Vandermeulen, P. Suetens.
  A unifying framework for partial volume segmentation of brain MR images, in: IEEE Trans Med Imaging, January 2003, vol. 22, n^o 1, pp. 105-19.