Publications

Journal Papers

2023

  1. E. Ballante, L. Bellanger, P. Drouin, S. Figini, A. Stamm (2023). Smoothing method for unit quaternion time series in a classification problem: an application to motion data, Nature Scientific Reports, Open Access, Vol. 13, pp. 9366, DOI: 10.1038/s41598-023-36480-y.

2022

  1. K. Abramowicz, A. Pini, L. Schelin, S. Sjöstedt de Luna, A. Stamm, S. Vantini (2022). Domain selection and family-wise error rate for functional data: a unified framework, Biometrics, Open Access, pp. 1-14, DOI: 10.1111/biom.13669.
  2. R. Brard, L. Bellanger, L. Chevreuil, F. Doistau, P. Drouin, A. Stamm (2022). A novel walking activity recognition model for rotation time series collected by a wearable sensor in a free-living environment, Sensors, Vol. 22, pp. 3555, DOI: 10.3390/s22093555.
  3. P. Drouin, A. Stamm, L. Chevreuil, V. Graillot, L. Barbin, P.A. Gourraud, D.A. Laplaud, L. Bellanger (2022). Semi-supervised clustering of quaternion time series: application to gait analysis in multiple sclerosis using motion sensor data, Statistics in Medicine, accepted provisionally upon minor revisions.

2021

  1. L. Bellanger, L. Chevreuil, P. Drouin, D. A. Laplaud, A. Stamm (2021). Détecter les troubles de la marche, Bibliothèque Tangente, Vol. 73, pp. 94-101.

2020

  1. I. Lovato, A. Pini, A. Stamm, M. Taquet, S. Vantini (2020). Multiscale null hypothesis testing for network-valued data: analysis of brain networks of patients with autism, Journal of the Royal Statistical Society, Series C, Vol. 70(2), pp. 372-97, DOI: 10.1111/rssc.12463.
  2. A. Bizzi, R. Pascuzzo, J. Blevins, M. Moscatelli, M. Grisoli, R. Lodi, F.M. Doniselli, G.Castelli, M. Cohen, A. Stamm, L. Schonberger, B.S. Appleby, P. Gambetti (2020). Subtype diagnosis of sporadic Creutzfeldt-Jakob disease with diffusion MRI, Annals of Neurology, Vol. 89, pp. 560-72, DOI: 10.1002/ana.25983.

2019

  1. I. Lovato, A. Pini, A. Stamm, S. Vantini (2019). Model-free two-sample test for network-valued data, Computational Statistics and Data Analysis, Vol. 144, pp. 106896, DOI: 10.1016/j.csda.2019.106896.

2018

  1. A. Agosti, C. Giverso, E. Faggiano, A. Stamm, P. Ciarletta (2018). A personalized mathematical tool for neuro-oncology: a clinical case study, Journal of Non-Linear Mechanics, Special Issue on Multiscale nonlinear continuum mechanical coupled field modelling and applications, Vol. 107, pp. 170-81, DOI: 10.1016/j.ijnonlinmec.2018.06.004.
  2. A. Pini, A. Stamm, S. Vantini (2018). Hotelling’s \(T^2\) in separable Hilbert spaces, Journal of Multivariate Analysis, Vol. 167, pp. 284-305, DOI: 10.1016/j.jmva.2018.05.007.
  3. C. Velasco-Annis, A. Akhondi-Asl, A. Stamm, S.K. Warfield (2018). Reproducibility of Brain MRI Segmentation Algorithms: Empirical Comparison of Local MAP PSTAPLE, FreeSurfer, and FSL-FIRST, Journal of Neuroimaging, Vol. 22(2), pp.162-72, DOI: 10.1111/jon.12483.

2017

  1. F. 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 (2017). Corpus callosum white matter diffusivity reflects cumulative neurological comorbidity in Tuberous Sclerosis Complex, Cerebral Cortex, Vol. 28(10), pp. 3665-72, DOI: 10.1093/cercor/bhx247.

2016

  1. M.A. Breen, A. Tsai, A. Stamm, P.K. Kleinman (2016). Bone age assessment practices in infants and older children among Society for Pediatric Radiology members, Pediatric Radiology, Vol. 46(9), pp. 1269-74, DOI: 10.1007/s00247-016-3618-7.

2015

  1. 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 (2015). Tubers are neither static nor discrete: Evidence from serial diffusion tensor imaging, Neurology, Vol. 85(18), pp. 1536-45, DOI: 10.1212/WNL.0000000000002055.
  2. 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 (2015). The DTI Challenge: Toward Standardized Evaluation of Diffusion Tensor Imaging Tractography for Neurosurgery, Journal of Neuroimaging, Vol. 25(6), pp. 875-82, DOI: 10.1111/jon.12283.

2013

  1. P. Secchi, A. Stamm, S. Vantini (2013). 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, DOI: 10.1214/13-EJS833.
  2. A. Esquevin, H. Raoult, J.C. Ferré, T. Ronzière, A. Stamm, M. Perennes, A. Bellou,,J.Y. Gauvrit (2013). Systematic combined non-contrast CT-CT angiography in the management of unexplained non-traumatic coma, The American Journal of Emergency Medicine, Vol. 31(3), pp. 494-8, DOI: 10.1016/j.ajem.2012.09.024.
  3. H. Raoult, F. Eugène, J.C. Ferré, J.C. Gentric, T. Ronzière, A. Stamm, J.Y. Gauvrit (2013). Prognostic factors for outcomes after mechanical thrombectomy with solitaire stent, Journal of neuroradiology (Journal de neuroradiologie), Vol. 40(4), pp. 252-9, DOI: 10.1016/j.neurad.2013.04.001.

2012

  1. H. Raoult, J.C. Ferré, J. Petr, E. Bannier, A. Stamm, C. Barillot, J.Y. Gauvrit (2012). Functional arterial spin labeling: optimal sequence duration for motor activation mapping in clinical practice, Journal of magnetic resonance imaging, Vol. 36(6), pp. 1435-44, DOI: 10.1002/jmri.23782.

2011

  1. H. Raoult, J. Petr, E. Bannier, A. Stamm, J.Y. Gauvrit, C. Barillot, J.C. Ferré (2011). 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, DOI: 10.1016/j.neuroimage.2011.06.011.

Conference proceedings

2024

  1. A. Burzacchi, L. Bellanger, K. Le Gall, A. Stamm, S. Vantini (2024). Modeling and synthesis of GPS trajectories for privacy-preserving mobility data generation, in Proc. 56th Scientific Meeting of the Italian Statistical Society - SIS, Bari (Italy).

2018

  1. A. Stamm, O. Commowick, A. Menafoglio, S. K. Warfield (2018). A Bayes Hilbert space for compartment model computing in diffusion MRI, in Proc. Medical Image Computing and Computer-Assisted Intervention – MICCAI, Lecture Notes in Computer Science, Springer, Vol. 11072, pp. 72-80, Granada (Spain). DOI: 10.1007/978-3-030-00931-1_9.
  2. A. Stamm, A. Zito, V. Callioni, I. Sartori, L. Torriani, S. Vantini (2018). Tractography-based atlas of the healthy cortico-spinal tract, in Proc. International Society for Magnetic Resonance in Medicine - ISMRM, Vol. 26, pp. 5202, Paris (France). URL: http://indexsmart.mirasmart.com/ISMRM2018/PDFfiles/5202.html.

2017

  1. A. Pini, A. Stamm, S. Vantini (2017). Hotelling in Wonderland, in Proc. International Workshop on Functional and Operatorial Statistics - IWFOS, Functional Statistics and Related Fields, Contributions to Statistics, Springer, pp. 211-6. A Coruña (Spain). DOI: 10.1007/978-3-319-55846-2_28.

2016

  1. A. Stamm, O. Commowick, S.K. Warfield, S. Vantini (2016). Comprehensive maximum likelihood estimation of diffusion compartment models towards reliable mapping of brain microstructure, in Proc. Medical Image Computing and Computer-Assisted Intervention – MICCAI, Lecture Notes in Computer Science, Springer, Vol. 9902, pp. 622-30, Athens (Greece). DOI: 10.1007/978-3-319-46726-9_72.
  2. O. Commowick, A. Stamm, S. Vantini, S.K. Warfield (2016). Maximum likelihood estimators of brain white matter microstructure, in Proc. 48th Scientific Meeting of the Italian Statistical Society - SIS, Salerno (Italy).

2015

  1. A. Stamm, J.M. Singh, O. Afacan, S.K. Warfield (2015). Analytic quantification of bias and variance of coil sensitivity profile estimators for improved image reconstruction in MRI, in Proc. Medical Image Computing and Computer-Assisted Intervention – MICCAI, Lecture Notes in Computer Science, Springer, Vol. 9350, pp. 684–91, Munchen (Germany). DOI: 10.1007/978-3-319-24571-3_82.
  2. R. Hédouin, O. Commowick, A. Stamm, C. Barillot (2015). Interpolation and averaging of multi-compartment model images, in Proc. Medical Image Computing and Computer-Assisted Intervention – MICCAI, Lecture Notes in Computer Science, Springer, Vol. 9349, pp. 354-62, Munchen (Germany). DOI: 10.1007/978-3-319-24571-3_43.
  3. A. Pini, A. Stamm, S. Vantini (2015). Inference in functional Hilbert spaces generalizing the Hotelling’s \(T^2\), in Proc. International Society for Non-Parametric Statistics - ISNPS, pp. 38, Graz (Austria).
  4. A. Stamm, O. Afacan, B. Scherrer, J.M. Singh, S.K. Warfield (2015). In-vivo high resolution imaging of fine-scale anatomical structures at 3T with simultaneous bias-variance reduction, in Proc. International Society for Magnetic Resonance in Medicine - ISMRM, Vol. 23, pp. 2464, Toronto (Canada).
  5. A. Stamm, J.M. Singh, B. Scherrer, O. Afacan, S.K. Warfield (2015). Multi-session complex averaging for high resolution high SNR 3T MR visualization of ex-vivo hippocampus & insula, in Proc. SPIE Medical Imaging: Image Processing, Vol. 9413, pp. 941328, Orlando (USA). DOI: 10.1117/12.2082493.
  6. B. Scherrer, O. Afacan, A. Stamm, J.M. Singh, S.K. Warfield (2015). Optimized magnetic resonance diffusion protocol for ex-vivo whole human brain imaging with a clinical scanner, in Proc. SPIE Medical Imaging: Physics of Medical Imaging, Vol. 9412, pp. 94122U, Orlando (USA). DOI: 10.1117/12.2082387.

2014

  1. A. Stamm, O. Commowick, P. Pérez, C. Barillot (2014). Fast identification of optimal fascicle configurations from standard clinical diffusion MRI using Akaike information criterion, in Proc. 11th International Symposium on Biomedical Imaging - ISBI, IEEE, pp. 238–41, Beijing (China). DOI: 10.1109/ISBI.2014.6867853.
  2. A. Stamm, B. Scherrer, O. Commowick, C. Barillot, S.K. Warfield (2014). Fast and robust detection of the optimal number of fascicles in diffusion images using model averaging theory, in Proc. International Society for Magnetic Resonance in Medicine - ISMRM, Vol. 22, pp. 2629, Milan (Italy).
  3. A. Stamm, B. Scherrer, S. Baraldo, O. Commowick, S.K. Warfield (2014). Non-central chi estimation of multi-compartment models improves model selection by reducing overfitting, in Proc. International Society for Magnetic Resonance in Medicine - ISMRM, Vol. 22, pp. 2623, Milan (Italy).

2013

  1. A. Stamm, O. Commowick, C. Barillot, P. Pérez (2013). Adaptive multi-modal particle filtering for probabilistic white matter tractography, in Proc. Information Processing in Medical Imaging - IPMI, Springer, Vol. 7917, pp. 594-606, Asilomar (USA). DOI: 10.1007/978-3-642-38868-2_50.

2012

  1. O. Commowick, A. Stamm (2012). Non-local robust detection of DTI white matter differences with small databases, in Proc. Medical Image Computing and Computer-Assisted Intervention - MICCAI, Lecture Notes in Computer Science, Springer, Vol. 7512, pp. 476-84, Nice (France). DOI: 10.1007/978-3-642-33454-2_59.
  2. A. Stamm, P. Pérez, C. Barillot (2012). A new multi-fiber model for low angular resolution diffusion MRI, in Proc. 9th International Symposium on Biomedical Imaging - ISBI, IEEE, pp. 936–9, Barcelona (Spain). DOI: 10.1109/ISBI.2012.6235710.
  3. A. Stamm, P. Pérez, C. Barillot (2012). A new multi-directional fiber model for low angular resolution diffusion imaging, in Proc. International Society for Magnetic Resonance in Medicine - ISMRM, Vol. 20, pp. 908, Melbourne (Australia).

2011

  1. P. Secchi, A. Stamm, S. Vantini (2011). A generalization of Hotelling’s theorem for large \(p\) small \(n\) data, in Proc. Statistical Computation and Complex Systems - S.Co., Padua, (Italy).

2010

  1. P. Secchi, A. Stamm, S. Vantini (2010). Large \(p\) small \(n\): inference for the mean, in Proc. 45th Scientific Meeting of the Italian Statistical Society - SIS, Padua (Italy).

Patents

Invited talks