• Q Zheng, H Delingette, N Duchateau, and N Ayache. 3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation. IEEE Transactions on Medical Imaging, April 2018. • Chloé Audigier, T Mansi, H Delingette, S Rapaka, T Passerini, V Mihalef, MP Jolly, R Pop, M Diana, L Soler, A Kamen, D Comaniciu, and N Ayache. Comprehensive Pre-Clinical Evaluation of a Multi-physics Model of Liver Tumor Radiofrequency Ablation. Int J of Computer Assisted Radiology and Surgery, 2016. • Nicholas Ayache. From medical images to digital patients, Inaugural lessons from the Collège de France. Collège de France / Fayard, 2015 • Nikos Paragios, Jim Duncan, and Nicholas Ayache. Handbook of Biomedical Imaging: Methodologies and Clinical Research. Springer, 2015. • M. Lorenzi, X. Pennec, GB. Frisoni, and N. Ayache. Disentangling Normal Aging from Alzheimer's Disease in Structural MR Images. Neurobiology of Aging, 2014. • H. Lombaert, JM. Peyrat, P Croisille, S Rapacchi, L Fanton, F Cheriet, P Clarysse, I Magnin, H Delingette, and N Ayache. Human Atlas of the Cardiac Fiber Architecture: Study on a Healthy Population. IEEE Trans. on Medical Imaging, 2012 • N. Ayache, H. Delingette, and M. Sermesant. The personalized digital core. Bulletin of the National Academy of Medicine, 195(8), 1855-1868, 2011. • N. Ayache, O. Clatz, H. Delingette, G. Malandain, X. Pennec, and M. Sermesant. Asclepios: a Research Project-Team at INRIA for the Analysis and Simulation of Biomedical Images. In Y. Bertot, G. Huet, J.-J. Lévy, and G. Plotkin, editors, From semantics to computer science: essays in honor of Gilles Kahn, pages 415-436. Cambridge University Press, 2009. • S Durrleman, X Pennec, A Trouvé, and N Ayache. Statistical Models on Sets of Curves and Surfaces based on Currents. Medical Image Analysis, 13(5):793-808, 2009. • T. Vercauteren, X. Pennec, A. Perchant, N. Ayache, Diffeomorphic demons: efficient non-parametric image registration, NeuroImage, 45(1), 2009. • X. Pennec, P. Fillard, N. Ayache, A Riemannian framework for tensor computing, International Journal of Computer Vision, 66 (1), 41-66, 2006. • V Arsigny, P Fillard, X Pennec, and N Ayache. Log-Euclidean Metrics for Fast & Simple Calculus on Diffusion Tensors. Magnetic Resonance in Medicine, 56(2):411-421, 2006. • O. Clatz, M. Sermesant, P.-Y. Bondiau, H. Delingette, S. Warfield, G. Malandain, N. Ayache, Realistic simulation of the 3-D growth of brain tumors in MRI coupling diffusion with biomech. deformation, IEEE Tr. on Medical Imaging, 24 (10), 1334-1346, 2005. • N. Ayache (dir., with
J-L. Lions and
P. Ciarlet). Computational Models for the Human Body, Handbook of Numerical Analysis, 670 pages. Elsevier, 2004 • N. Ayache. Artificial Vision for Mobile robots - Stereo-vision and Multisensor Perception. MIT-Press, 1991. 342 pages • N. Ayache. Stereoscopic Vision and Multisensory Perception: Application to mobile robotics. Inter-Editions (MASSON), 1989. 314 pages. He has published 12 books (including one monograph) and more than 400 articles. He is the co-author of 12 patents. Nicholas Ayache has directed (or co-directed) the theses of 80 PhD students, most of whom are employed in the field of digital imaging, mainly medical. Nine of his doctoral students received a thesis prize, including two second
Gilles Kahn prizes and a second Cor Baayen prize. == Awards and honours ==