Parallel Computing for the Simulation of 3D Free Surface Flows in Environmental Applications. - Paola Causin; Edie Miglio (PVM/MPI, 2002)

A posteriori dual-mixed adaptive finite element error control for Lamé and Stokes equations. - Carsten Carstensen; Paola Causin; Riccardo Sacco (Numerische Mathematik, 2005)

A Discontinuous Petrov-Galerkin Method with Lagrangian Multipliers for Second Order Elliptic Problems. - Paola Causin; Riccardo Sacco (SIAM J. Numer. Anal., 2005)

Autocatalytic Loop, Amplification and Diffusion: A Mathematical and Computational Model of Cell Polarization in Neural Chemotaxis. - Paola Causin; Giuseppe Facchetti (PLoS Comput. Biol., 2009)

A Multiscale Computational Model of Chemotactic Axon Guidance. - Giacomo Aletti; Paola Causin; Giovanni Naldi; Matteo Semplice (Handbook of Research on Computational and Systems Biology, 2011)

Breakthroughs in Computational Modeling of Cartilage Regeneration in Perfused Bioreactors. - Manuela T. Raimondi; Paola Causin; Andrea Mara; Michele Nava; Matteo Laganà; Riccardo Sacco (IEEE Trans. Biomed. Eng., 2011)

A Multiscale Computational Model of Chemotactic Axon Guidance. - Giacomo Aletti; Paola Causin; Giovanni Naldi; Matteo Semplice (Int. J. Comput. Model. Algorithms Medicine, 2012)

Elastic Net Regularization in Diffuse Optical Tomography Applications. - Paola Causin; Giovanni Naldi; Rada-Maria Weishaeupl (ISBI, 2019)

A Deep Learning Generative Model Approach for Image Synthesis of Plant Leaves. - Alessandro Benfenati; Davide Bolzi; Paola Causin; Roberto Oberti (CoRR, 2021)

A Learned SVD approach for Inverse Problem Regularization in Diffuse Optical Tomography. - Alessandro Benfenati; Giuseppe Bisazza; Paola Causin (CoRR, 2021)

Unsupervised deep learning techniques for powdery mildew recognition based on multispectral imaging. - Alessandro Benfenati; Paola Causin; Roberto Oberti; Giovanni Stefanello (CoRR, 2021)

A Modular Deep Learning-based Approach for Diffuse Optical Tomography Reconstruction. - Alessandro Benfenati; Paola Causin; Martina Quinteri (CoRR, 2024)

Estimating Dataset Dimension via Singular Metrics under the Manifold Hypothesis: Application to Inverse Problems. - Paola Causin; Alessio Marta (CoRR, 2025)