, diffeomorphism: combining morphometry and structural connectivity analysis, IEEE Transactions on Medical Imaging, 2018.

F. Orlhac, F. Frouin, C. Nioche, N. Ayache, and I. Buvat, Validation of a method to compensate multicenter effects affecting CT radiomic features, Radiology, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01953538

F. Orlhac, P. Mattei, C. Bouveyron, and N. Ayache, Class-specific Variable Selection in High-Dimensional Discriminant Analysis through Bayesian Sparsity, Journal of Chemometrics, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01811514

T. Demarcy, C. Vandersteen, N. Guevara, C. Raffaelli, D. Gnansia et al., Automated analysis of human cochlea shape variability from segmented microCT images, Computerized Medical Imaging and Graphics, vol.59, pp.1-12, 2017.

S. Giffard-roisin, T. Jackson, L. Fovargue, J. Lee, H. Delingette et al., Non-Invasive Personalisation of a Cardiac Electrophysiology Model from Body Surface Potential Mapping, IEEE Transactions on Biomedical Engineering, vol.64, issue.9, pp.2206-2218, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01397393

P. Gori, O. Colliot, L. Marrakchi-kacem, Y. Worbe, C. Poupon et al., A Bayesian Framework for Joint Morphometry of Surface and Curve meshes in Multi-Object Complexes, Medical Image Analysis, vol.35, pp.458-474, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01359423

B. Khanal, N. Ayache, and X. Pennec, Simulating Longitudinal Brain MRIs with known Volume Changes and Realistic Variations in Image Intensity, Frontiers in Neuroscience, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01348959

H. Loïc-le-folgoc, A. Delingette, N. Criminisi, and . Ayache, Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacements, Medical Image Analysis, vol.36, pp.79-97, 2017.

R. Molléro, X. Pennec, H. Delingette, A. Garny, N. Ayache et al., Multifidelity-CMA: a multifidelity approach for efficient personalisation of 3D cardiac electromechanical models, Biomechanics and Modeling in Mechanobiology, pp.1-16, 2017.

C. Audigier, T. Mansi, H. Delingette, S. Rapaka, T. Passerini et al., Comprehensive PreClinical Evaluation of a Multi-physics Model of Liver Tumor Radiofrequency Ablation, International Journal of Computer Assisted Radiology and Surgery, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01423321

N. Ayache, Medical Imaging Informatics: Towards a Personalized Computational Patient, IMIA Yearbook of Medical Informatics, vol.25, pp.8-9, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01320985

N. Ayache and J. Duncan, 20th anniversary of the medical image analysis journal (MedIA), Medical Image Analysis, vol.33, pp.1-3, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01353697

R. Cabrera-lozoya, B. Berte, H. Cochet, P. Jaïs, N. Ayache et al., Image-based Biophysical Simulation of Intracardiac Abnormal Ventricular Electrograms, IEEE Transactions on Biomedical Engineering, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01313615

Z. Chen, R. Cabrera-lozoya, J. Relan, M. Sohal, A. Shetty et al., Biophysical modelling predicts ventricular tachycardia inducibility and circuit morphology: A combined clinical validation and computer modelling approach, Journal of Cardiovascular Electrophysiology, vol.27, issue.7, pp.851-860, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01301426

N. Cordier, H. Delingette, M. Lê, and N. Ayache, Extended Modality Propagation: Image Synthesis of Pathological Cases, IEEE Transactions on Medical Imaging, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01343233

D. Gnansia, T. Demarcy, C. Vandersteen, C. Raffaelli, N. Guevara et al., Optimal electrode diameter in relation to volume of the cochlea, European Annals of Otorhinolaryngology, Head and Neck Diseases, vol.133, pp.66-67, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01326507

P. Gori, O. Colliot, L. Marrakchi-kacem, Y. Worbe, . Fabrizio-de-vico et al., Parsimonious Approximation of Streamline Trajectories in White Matter Fiber Bundles, IEEE Transactions on Medical Imaging, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01346067

M. Hadj-hamou, M. Lorenzi, N. Ayache, and X. Pennec, Longitudinal Analysis of Image Time Series with Diffeomorphic Deformations: A Computational Framework Based on Stationary Velocity Fields, Frontiers in Neuroscience, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01329989

B. Khanal, M. Lorenzi, N. Ayache, and X. Pennec, A biophysical model of brain deformation to simulate and analyze longitudinal MRIs of patients with Alzheimer's disease, NeuroImage, vol.134, pp.35-52, 2016.

H. Loïc-le-folgoc, A. Delingette, N. Criminisi, and . Ayache, Quantifying Registration Uncertainty with Sparse Bayesian Modelling, IEEE Transactions on Medical Imaging, 2016.

M. Lê, H. Delingette, J. Kalpathy-cramer, E. R. Gerstner, T. Batchelor et al., MRI Based Bayesian Personalization of a Tumor Growth Model, IEEE Transactions on Medical Imaging, vol.35, issue.10, pp.2329-2339, 2016.

M. Lê, H. Delingette, J. Kalpathy-cramer, E. R. Gerstner, T. Batchelor et al., Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model, IEEE Transactions on Medical Imaging, 2016.

M. Lê, J. Unkelbach, N. Ayache, and H. Delingette, Sampling Image Segmentations for Uncertainty Quantification, Medical Image Analysis, vol.34, pp.42-51, 2016.

S. Anant, S. Vemuri, A. Nicolau, J. Sportes, L. Marescaux et al., InterOperative Biopsy Site Relocalization in Endoluminal Surgery, IEEE Transactions on Biomedical Engineering, vol.63, issue.9, pp.1862-1873, 2016.

, Peer-Reviewed Conference Articles (selection, 2018.

L. Antelmi, N. Ayache, P. Robert, and M. Lorenzi, Multi-Channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease, Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018.

J. Krebs, T. Mansi, B. Mailhé, N. Ayache, and H. Delingette, Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration, Deep Learning in Medical Image Analysis (MICCAI workshop), 2018.
URL : https://hal.archives-ouvertes.fr/hal-01845688

C. Abi-nader, N. Ayache, P. Robert, and M. Lorenzi, Alzheimer's Disease Modelling and Staging through Independent Gaussian Process Analysis of SpatioTemporal Brain Changes, Machine Learning in Clinical Neuroimaging (MLCN) workshop, 2018.

F. Orlhac, O. Humbert, S. Boughdad, M. Lasserre, M. Soussan et al., Validation of a harmonization method to correct for SUV and radiomic features variability in multi-center studies, SNMMI Annual Meeting, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01759334

W. Wei, E. Poirion, B. Bodini, S. Durrleman, N. Ayache et al., Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training, MICCAI 2018 --21st International Conference On Medical Image Computing & Computer Assisted Intervention, vol.11072, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01810822

W. Wei, E. Poirion, B. Bodini, S. Durrleman, O. Colliot et al., FLAIR MR Image Synthesis By Using 3D Fully Convolutional Networks for Multiple Sclerosis, ISMRM-ESMRMB 2018 -Joint Annual Meeting, pp.1-6, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01723070

, Submitted Articles (selection, pp.2018-2019

P. Mlynarski, H. Delingette, A. Criminisi, and N. Ayache, 3D Convolutional Neural Networks for Tumor Segmentation using Long-range 2D Context. Under review
URL : https://hal.archives-ouvertes.fr/hal-01883716

P. Mlynarski, H. Delingette, A. Criminisi, and N. Ayache, Deep Learning with Mixed Supervision for Brain Tumor Segmentation
URL : https://hal.archives-ouvertes.fr/hal-01952458

R. Sivera, M. Delingette, . Lorenzi, N. Pennec, and . Ayache, A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments
URL : https://hal.archives-ouvertes.fr/hal-01948174

Q. Zheng, H. Delingette, and N. Ayache, Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow
URL : https://hal.archives-ouvertes.fr/hal-01975880

J. Krebs, H. Delingette, B. Mailhé, N. Ayache, and T. Mansi, Learning a Probabilistic Model for Diffeomorphic Registration, Note: Under review
URL : https://hal.archives-ouvertes.fr/hal-01978339