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Aymeric Stamm

Aymeric's Selected Publication

Selected Publication

A.Pini, A.Stamm, S.Vantini “Hotelling’s T2 in separable Hilbert spaces”, Journal of Multivariate Analysis, 2017, submitted


Velasco-Annis, A.Akhondi-Asl, A.Stamm, S.K.Warfield “Reproducibility of Brain MRI Segmentation Algorithms: Empirical Comparison of Local MAP PSTAPLE, FreeSurfer, and FSL-FIRST”, Journal of Neuroimaging, in press, 2017.


Baumer, J.M.Peters, S.Clancy, A.K.Prohl, S.P.Prabhu, B.Scherrer, F.E. Jansen, K.P.J.Braun, M.Sahin, A.Stamm, S.K.Warfield
“Corpus callosum white matter diffusivity reflects cumulative neurological comorbidity in Tuberous Sclerosis Complex”, Cerebral Cortex, in press, 2017.


M.A. Breen, A. Tsai, A. Stamm, P.K. Kleinman “Bone age assessment practices in infants and older children among Society for Pediatric Radiology members”, Pediatric Radiology, Vol. 46(9), pp. 1269-74, 2016.


J.M. Peters, A.K. Prohl, X. Tomas-Fernandez, M. Taquet, B. Scherrer, S.P. Prabhu, H.G. Lidov, J.M. Singh, F.E. Jansen, K.P.J. Braun, M. Sahin, S.K. Warfield, A. Stamm “Tubers are neither static nor discrete: Evidence from serial diffusion tensor imaging”, Neurology, Vol. 85(18), pp. 1536-45, 2015.


S. Pujol, W. Wells, C. Pierpaoli, C. Brun, J. Gee, G. Cheng, B. Vemuri, O. Commowick, S. Prima, A. Stamm, M. Goubran, A. Khan, T. Peters, P. Neher, K.H. Maier-Hein, Y. Shi, A. Tristan-Vega, G. Veni, R. Whitaker, M. Styner, C.F. Westin, S. Gouttard, I. Norton, L. Chauvin,


H. Mamata, G. Gerig, A. Nabavi, A. Golby, R. Kikinis “The DTI Challenge: Toward Standardized Evaluation of Diffusion Tensor Imaging Tractography for Neurosurgery”, Journal of Neuroimaging, Vol. 25(6), pp. 875-82, 2015.


P.Secchi, A. Stamm, S.Vantini “Inference for the mean of large p small n data: a finite-sample high-dimensional generalization of Hotelling’s Theorem”, Electronic Journal of Statistics, Vol. 7, pp. 2005-31, 2013.


Esquevin, H. Raoult, J.C. Ferré, T. Ronzière, A. Stamm, M. Perennes, A. Bellou, J.Y. Gauvrit “Systematic combined noncontrast CT-CT angiography in the management of unexplained nontraumatic coma”, The American Journal of Emergency Medicine, Vol. 31(3), pp. 494-8, 2013.


H. Raoult, F. Eugène, J.C. Ferré, J.C. Gentric, T. Ronzière, A. Stamm, J.Y. Gauvrit “Prognostic factors for outcomes after mechanical thrombectomy with solitaire stent”, Journal of neuroradiology. Journal de neuroradiologie, Vol. 40(4), pp. 252-9, 2013.


H. Raoult, J.C. Ferré, J. Petr, E. Bannier, A. Stamm, C. Barillot, J.Y. Gauvrit “Functional arterial spin labeling: Optimal sequence duration for motor activation mapping in clinical practice”, Journal of magnetic resonance imaging : JMRI, Vol. 36(6), pp. 1435-44, 2012.


H. Raoult, J. Petr, E. Bannier, A. Stamm, J.Y. Gauvrit, C. Barillot, J.C. Ferré “Arterial spin labeling for motor activation mapping at 3T with a 32-channel coil: reproducibility and spatial accuracy in comparison with BOLD fMRI”, NeuroImage, Vol. 58(1), pp. 157-67, 2011.


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Aymeric Stamm

PostDoc

Aymeric Stamm was born in Lyon, France, in 1985. He studied Mathematical Engineering and graduated from both Ecole Centrale de Lyon, France and Politecnico di Milano, Italy with an M.Sc. double degree in 2009. He joined the INRIA VisAGeS team in Rennes, France for a doctoral program on statistical modelling applied to the analysis of the brain microstructure and architecture from magnetic resonance images. During his 3 years as a Ph.D. student, Aymeric developed statistical mixture models for the analysis of the brain white matter microstructure which he combined with particle filter theory to reconstruct the major neural pathways in the Human brain. One of the main applications of his research at the time was tumour removal surgery, in which it is critical to understand the neural architecture in the vicinity of the tumor to help deciding how to access the tumor and what the margin of resection should be without introducing irreversible damages to the patient. He obtained his Ph.D. in computer science from the University of Rennes 1 in 2013 and crossed the Atlantic to join the Computational Radiology Lab at Boston Children’s Hospital - Harvard Medical School, USA, directed by Prof. Simon K. Warfield. During his 2-year stay in Boston, Aymeric focused on helping surgeons deciding whether surgical intervention can cure epileptic children. For this purpose, he developed an image reconstruction pipeline that can provide MR images at unprecedented spatial resolution. In 2015, Aymeric Stamm decided to come back to Italy at the Department of Mathematics of the Politecnico di Milano for widening the range of applications of his statistical skills. In particular, he specialised in functional data analysis, and more generally in object-oriented data analysis which pertains to the statistical analysis of data sets in which the atom of the analysis is not a number of a vector anymore but rather a smooth function or a tensor or a network. His current research aims at applying techniques from functional data analysis to the study of neurological disorders using the models from his Ph.D. He recently joined the Center for Analysis, Decisions, and Society at Human Technopole where he is applying network-valued data analysis in an effort to bring precision medicine with equity to the Italian population.

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