Laura Maria Sangalli


Associate Professor in Statistics

Phone:+39 02 2399 4554
Fax: +39 02 2399 4568
Office: Ed. 14 - Nave - VII floor
Email:
Personal web page:

  • Available MOX Reports
  • Theses
  • Thesis Proposals
  • MOX Projects

Lila, E.; Aston, J.a.d.; Sangalli, L.m.
Smooth Principal Component Analysis over two-dimensional manifolds with an application to Neuroimaging


Wilhelm, M.; Sangalli, L.m.
Generalized Spatial Regression with Differential Regularization


Wilhelm, M.; Dedè, L.; Sangalli, L.m.; Wilhelm, P.
IGS: an IsoGeometric approach for Smoothing on surfaces


Bernardi, M.s.; Mazza, G.; Ramsay, J.o.; Sangalli, L.m.
A separable model for spatial functional data with application to the analysis of the production of waste in Venice province


Marron, J.s.; Ramsay, J.o.; Sangalli, L.m.; Srivastava, A.
Functional Data Analysis of Amplitude and Phase Variation


Marron, J.s.; Ramsay, J.o.; Sangalli, L.m.; Srivastava, A.
Statistics of Time Warpings and Phase Variations


Sangalli, L.m.; Secchi, P.; Vantini, S.
Analysis of AneuRisk65 data: K-mean Alignment


Sangalli, L.m.; Secchi, P.; Vantini, S.
AneuRisk65: a dataset of three-dimensional cerebral vascular geometries


Patriarca, M.; Sangalli, L.m.; Secchi, P.; Vantini, S.
Analysis of Spike Train Data: an Application of K-mean Alignment


Bernardi, M.; Sangalli, L.m.; Secchi, P.; Vantini, S.
Analysis of Juggling Data: an Application of K-mean Alignment


Bernardi, M.; Sangalli, L.m.; Secchi, P.; Vantini, S.
Analysis of Proteomics data: Block K-mean Alignment


Dassi, F.; Ettinger, B.; Perotto, S.; Sangalli, L.m.
A mesh simplification strategy for a spatial regression analysis over the cortical surface of the brain


Sørensen, H.; Goldsmith, J.; Sangalli, L.m.
An introduction with medical applications to functional data analysis


Azzimonti, L.; Nobile, F.; Sangalli, L.m.; Secchi, P.
Mixed Finite Elements for spatial regression with PDE penalization


Azzimonti, L.; Sangalli, L.m.; Secchi, P.; Domanin, M.; Nobile, F.
Blood flow velocity field estimation via spatial regression with PDE penalization


Ettinger, B., Perotto, S.; Sangalli, L.m.
Spatial regression models over two-dimensional manifolds


Ettinger, B.; Passerini, T.;perotto, S.; Sangalli, L.m.
Regression models for data distributed over non-planar domains


Sangalli, L.m.; Ramsay, J.o.; Ramsay, T.o.
Spatial Spline Regression Models


Passerini, T.; Sangalli, L.; Vantini, S.; Piccinelli, M.; Bacigaluppi, S.; Antiga, L.; Boccardi, E.; Secchi, P.; Veneziani, A.
An Integrated Statistical Investigation of the Internal Carotid Arteries hosting Cerebral Aneurysms


Pigoli, D.; Sangalli, L.
Wavelets in Functional Data Analysis: estimation of multidimensional curves and their derivatives


Dalla Rosa, M.; Sangalli, L. M.; Vantini, S.
Dimensional Reduction of Functional Data by means of Principal Differential Analysis


Sangalli, Laura M.; Secchi, Piercesare; Vantini, Simone; Vitelli, Valeria
Joint Clustering and Alignment of Functional Data: an Application to Vascular Geometries


Sangalli, Laura M.; Secchi, Piercesare; Vantini, Simone; Vitelli, Valeria
Functional clustering and alignment methods with applications


Bonaventura, Luca; Castruccio, Stefano; Sangalli, Laura M.
A Bayesian approach to geostatistical interpolation with exible variogram models


Sangalli, Laura Maria; Secchi, Piercesare; Vantini, Simone; Vitelli, Valeria
K-means alignment for curve clustering


Colecchia, Maurizio; Nicolai, Nicola; Secchi, Piercesare; Bandieramonte, Gaetano; Paganoni, Anna M.; Sangalli , Laura M.; Piva, Luigi; Salvioni, Roberto
Penile Superficial Squamous cell Carcinoma (SCC) Submitted to CO2 Laser Excision only: Oncologic Outcome of T1 Disease in 25 Years-Long Experience


Sangalli, Laura M.; Secchi, Piercesare; Vantini, Simone; Veneziani, Alessandro
A Case Study in Functional Data Analisys: Geometrical Features of the Internal Carotid Artery


Sangalli, Laura M.; Secchi, Piercesare; Vantini, Simone; Veneziani, Alessandro
Efficient estimation of 3-dimensional centerlines of inner carotid arteries and their curvature functions by free knot regression splines


Roberts, Gareth O.; Sangalli, Laura M.
Latent diffusion models for event history analysis


Author:Pozzebon, Anna Maria
Advisors:Sangalli, L. Bernardi, M.
Modello per dati spazio-tempo areali con applicazione a dati di nuzialità nella Regione Lombardia


Author:Cavenago, Giulia
Advisors:Sangalli, L. Sinoquet, D.
Surrogate models with mixed qualitative and quantitative variables: application in reservoir engineering


Author:Mazza, Gabriele
Advisors:Sangalli, L.m. Bernardi, M.s.
Regressione con regolarizzazioni differenziali per dati spazio-temporali, con applicazione all'analisi della produzione di rifiuti urbani nella provincia di Venezia


Author:Lila, Eardi
Advisors:Sangalli, L. Aston, J.
Smooth principal component analysis over two-dimensional manifolds with application to neuroimaging


Author:Parnigoni, Matteo
Advisors:Bonaventura, L. Sangalli, L.
Applicazione di modelli di regressione spaziale a dati oceanografici


Author:Patriarca, Mirco
Advisors:Sangalli, L. Vantini, S.
Development of the fdakma R package for the joint alignment and clustering of functional data: application to neuronal spike trains data


Author:Bernardi, Mara Sabina
Advisors:Sangalli, M.l. Vantini, S.
REgistrazione di curve mediante l algoritmo k-mean alignment ed estensione all allineamento locale di superfici


Author:Antonini, Marco
Advisors:Vantini, S. Sangalli, L.
Analisi statistica dei segnali elettrici cerebrali in pazienti in stato vegetativo e di minima coscienza


Author:Cardazzi, Chiara
Advisors:Sangalli, L. Vantini, S.
Analisi statistica multivariata e funzionale dei proli temporali di connettività di segnali EEG intracranici nelle epilessie focali


Author:Pigoli, Davide
Advisors:Secchi, P. Sangalli, L.
Stima di curve tridimensionali tramite wavelets, con un applicazione alla geometria dell arteria carotide interna


Author:Azzimonti, Laura
Advisors:Paganoni, A.m. De Lalla, C. Sangalli, L.
Modelli a effetti misti: teoria e applicazioni a dati longitudinali in ambito biologico


Author:Dalla Rosa, Matilde
Advisors:Secchi, Piercesare Vantini, Simone ; Sangalli, Laura Maria
Principal differential analysis e applicazione allo studio delle caratteristiche geometriche della carotide interna


Rto,Agusta Westland


Firb Snaple,Miur
Starting grant project "Advanced statistical and numerical methods for the analysis of high dimensional functional data in life sciences and engineering", funded by MIUR Ministero dell'Istruzione dell'Università e della Ricerca, FIRB Futuro in Ricerca programm. Soon renamed SNAPLE: Statistical and Numerical methods for the Analysis of Problems in Life sciences and Engineering. SNAPLE aims at providing a substantial contribution to the development of innovative techniques for the analysis of high-dimensional functional data, interfacing advanced statistical and numerical methods. More

Macaren@mox,Ca' Granda Ospedale Maggiore Policlinico Milano
The project MAthematics for CARotid ENdarterectomy @ MOX (MACAREN@MOX) gathers researchers in numerical analysis, statistics and computer sciences, and medical doctors in cardiac surgery, with the aim of investigating the pathogenesis of atherosclerosis in human carotids. The project intends specifically to study the role of blood fluid-dynamics and vessel morphology on the formation process and histological properties of atherosclerotic plaques. The project also involves Ca' Granda Ospedale Maggiore Policlinico - Milano and the Mathematics Institute of Computational Science and Engineering - Ecole Polytechnique Federale de Lausanne EPFL.

Cytokines,Ospedale San Raffaele - Milano
Evaluation of the expression of cyto-chemokine profiles

Aneurisk,Siemens, Fond. Politecnico
The AneuRisk project is a scientific endeavour that aimed at investigating the role of vessel morphology, blood fluid dynamics and biomechanical properties of the vascular wall, on the pathogenesis of cerebral aneurysms. The project has gathered together researchers of different scientific fields, ranging from neurosurgery and neuroradiology to statistics, numerical analysis and bio-engineering. The project involved MOX Laboratory for Modeling and Scientific Computing (Dip. di Matematica, Politecnico di Milano), Laboratory of Biological Structure Mechanics (Dip. di Ingegneria Strutturale, Politecnico di Milano), Istituto Mario Negri (Ranica), Ospedale Niguarda Ca' Granda (Milano) and Ospedale Maggiore Policlinico (Milano), and has been supported by Fondazione Politecnico di Milano and Siemens Medical Solutions Italia. More